WHY TAOBAO OUTPERFORMED EACHNET: THE IMPORTANCE OF WEBSITE FEATURES ON E-SATISFACTION AND E-LOYALTY By WENWEN XU Bachelor of Science Beijing Institution of Clothing Technology Beijing, China 2007 Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial fulfillment of the requirements for the Degree of MASTER OF SCIENCE July, 2010 WHY TAOBAO OUTPERFORMED EACHNET: THE IMPORTANCE OF WEBSITE FEATURES ON E-SATISFACTION AND E-LOYALTY Thesis Approved: Dr. Hira Cho Thesis Adviser Dr.Byoungho Jin Dr. Hyun-Joo Lee Dr. Mark E. Payton Dean of the Graduate College ii ACKNOWLEDGEMENT I would like to express my deepest appreciation to my committee members who believed in me and continually supported me throughout this entire process. Especially, I wish to give my sincere thanks to my adviser, Dr. Hira Cho, for her tireless efforts and true dedication in helping me complete my thesis. This thesis benefited greatly from her generous guidance and supervision. I will not forget the days we were working on my thesis in her office very late. I feel so lucky that I had her as my adviser and friend in my life. To the other committee members, Dr. Byoungho Jin, thank you for coming from North Carolina to attend my oral defense. Dr. Hyun-Joo Lee, thank you for coming from the Tulsa campus. Without their valuable suggestions and comments, I would not have been able to complete this work. I would like to thank my parents for their love and other family members for the mental and financial support. To my dear father and mother, Dr. Bo Xu and Mrs. Hui liu, you always respect my choice and give me the greatest support. Also, thank you for your faith in my ability to “believe in yourself, you can do it.” To my dear aunt, Mrs. Qin Liu, thank you for putting your efforts on data collection in China. All of you are my pride; I hope I can share this honor with you. Many thanks for my friends at OSU who always support and help me: Brandy Kennedy, Wanshen Wang, Yang Shi, Weiyu Jiang, who helped me edit my thesis and collect data in the U.S. Especially many thanks to my boyfriend, Minh Nguyen, who has accompanied with me for two years. Thank you for your unending confidence in my iii abilities and your love. There are still many people who I should acknowledge during my study at OSU: Dr. Christine Johnson, Dr. Celia Stall-Meadows, Dr. Jane Swinney, Mr. Michael Heppler, and Mrs. Susan Brock. I could not make it if I did not have your encouragement. Once again, I appreciate everyone for your encouragement, guidance, and support in helping me finish my thesis. iv TABLE OF CONTENTS Chapter Page I. INTRODUCTION.................................................................................................. 1 Background ......................................................................................................... 1 Problems .............................................................................................................. 3 Purpose of the Study ............................................................................................ 4 Significance of the Study ..................................................................................... 4 Hypotheses .......................................................................................................... 5 Definition of Terms ............................................................................................. 7 Limitations .......................................................................................................... 7 Outline of Work ................................................................................................... 8 II. REVIEW OF LITERATURE ................................................................................ 1 Chinese Online Market ........................................................................................ 9 1. Internet Users in China ......................................................................... 9 2. Online Shoppers in China ................................................................... 10 3. Hindrance of the Initial Development of Chinese Online Market ........ 12 4. Growth of Chinese Online Market ...................................................... 14 5. Chinese Online C2C Market: Taobao vs. EachNet .............................. 16 6. Growth Factors for Taobao ................................................................. 18 6-1. Location ..................................................................................... 19 6-2. Target Market .............................................................................. 20 6-3. Strategy of Listing Fees ............................................................... 20 6-4. Unique Needs .............................................................................. 21 6-5. Promotion ................................................................................... 22 6-6. Auction Market in C2C Format ................................................... 22 7. Website Features of Taobao and EachNet .......................................... 23 7-1.Website Interface Design ............................................................. 23 7-2.Customer Service ....................................................................... 24 7-3.Payment System and Method ...................................................... 25 7-4.Communication Tool and Community ........................................ 27 7-5.Feedback System ........................................................................ 28 E-loyalty and the Antecedents ............................................................................ 31 1. E-loyalty ............................................................................................ 31 v Chapter Page 2. E-satisfaction................................................................................ 32 3. Website Features .......................................................................... 32 End-User Computing Satisfaction (EUCS) Model......................................... 36 1. Development of the EUCS Model ............................................... 36 2. Application of the EUCS Model .................................................. 37 Model Development and Hypotheses ............................................................ 45 1. Model Development ..................................................................... 45 2. Hypotheses .................................................................................. 48 2-1.Website Features and E-satisfaction ....................................... 48 2-2.E-satisfaction and E-loyalty ................................................... 52 2-3.Comparisons of Taobao and EachNet .................................... 53 III. METHODOLOGY ............................................................................................ 56 Focus Group Interviews ................................................................................ 56 Pre-test ......................................................................................................... 59 Measurement Development for the Main Survey .......................................... 63 Data Collection ............................................................................................. 64 Characteristics of Sample .............................................................................. 65 Data Analysis .............................................................................................. 69 IV. FINDINGS ........................................................................................................ 70 Dimensions of Website Features .................................................................... 70 Comparisons of Taobao and EachNet ............................................................ 75 V. DISCUSSION, IMPLICATION AND LIMITATION ........................................ 76 Discussions ................................................................................................... 76 Implications ................................................................................................... 80 1. Academic Implications ................................................................ 80 2. Managerial Implications .............................................................. 83 Limitations .................................................................................................... 87 REFERENCES........................................................................................................ 90 vi APPENDICES ...................................................................................................... 103 APPENDICES A. QUESTIONNAIRE ............................................................ 104 APPENDICES B. OKLAHOMA STATE UNIVERSITY INSTITUTIONAL REVIEW BOARD APPROVAL ......... 109 vii LIST OF TABLES Table 1. The History of Taobao and EachNet ............................................................ 17 Table2. The Comparisons of the Business Strategy between Taobao and EachNet ... 19 Table 3. The Comparisons of Website Features between Taobaod and EachNet ........ 30 Table 4. Summary of WebQual 4.0 ........................................................................... 35 Table 5. Doll and Torkzaden’ s (1988) EUCS Instrument ......................................... 37 Table 6. Application of the EUCS Model .................................................................. 43 Table 7. Focus Group Interview Results .................................................................... 58 Table 8. Measurement of the Pre-test ........................................................................ 61 Table 9. Factor Analysis for the Pre-test.................................................................... 62 Table 10. Distribution of Survey ............................................................................... 65 Table 11. Demographic Characteristic of the Samples............................................... 67 Table 12. Previous Experience of Taobao and EachNet ............................................. 68 Table 13. Results of Factor Analysis for the Main Survey ......................................... 72 Table 14. Regression Results of Website Features Factors and Satisfaction ............... 74 Table 15. Regression Results of Satisfaction and Loyalty.......................................... 74 Table 16. Regression Results of Factors for Website Features Dimensions and Satisfaction .......................................... 74 Table 17. Mean Values for Website Features, Satisfaction, and Loyalty (Taobao and EachNet)............................................................ 75 viii LIST OF FIGURES Figure1. Numbers of Internet Users in China from 1997 to 2008 ............................. 10 Figure2. User Scale of Chinese Online Shopping Industry 2001-2010 ..................... 11 Figure 3. China Per Capita Online Shopping Amount 2003-2008 ............................ 12 Figure 4. The Comparison of Market Share between Taobao and EachNet by Years 18 Figure 5. Research Model of E-loyalty among Chinese Consumers .......................... 47 ix CHAPTER I INTRODUCTION Background Catalyzed by the increasing number of Chinese Internet users, online shopping is becoming one of the major Internet activities among Chinese. In the middle of 2008, the number of Internet users reached 253 million, making China the largest Internet market in the world (Barboza, 2008). According to the China Internet Network Information Center (CINIC), about one-fourth (Approximately 73 million) Internet users shopped online in 2008, and the number is predicted to exceed 100 million in 2010 (“China’s online shopping in 2008,” 2009). Most of Chinese online shoppers are well-educated, and the 26-30 age group is a major force in the Internet consumption (Xinhua, 2008). Most online consumers come from metropolitan cities such as Beijing, Shanghai, and Guangzhou (Xinhua, 2008). As the number of Chinese Internet users and online shoppers increase continuously, there is no doubt that the online shopping market in China will see a rapid and great rise in development with many investment opportunities (“The research report of online shopping,” 2008). The development of China’s online market was slow until 2006. High Internet access fees and perceived security risks were regarded as the major concerns among 1 Chinese consumers (Fu, Huang & Wei, 2007). Moreover, inefficient logistic and online payment system are among the other problems hindered the development of China online market (Dieter & He, 2000; Li & Suomi, 2006). However, by overcoming these initial problems, the Chinese online market has been growing rapidly. Chinese consumers are actively involved in online shopping and have considered it an efficient and convenient shopping method in the recent years (Cui, Lai & Liu, 2008). Historically, in China, Taobao and EachNet were the two major players dominating the online consumer-to-consumer (C2C) market (Chen, Zhang, Yuan & Huang, 2007). EachNet was established by two Chinese Harvard graduates in 2002 and then acquired by eBay (U.S.) in 2003. EachNet was successful at first until a Chinese eretailer company, Alibaba, invested in its C2C business named Taobao in 2003. Finally, EachNet failed in the Chinese market and it was taken over by a local company, Tom.com, in 2007. In spite of eBay’s power in the U.S., online businesses originating from western countries seemed to have difficulty adapting to the Chinese environment and localizing their business and websites in China (Li & Liu, 2007). In 2003, the market share of EachNet was 84%, while Taobao’s was only 8% (iRearch, 2006). However, in 2008, Taobao has reached a 75% market share, while EachNet had fallen to 7% (Hu, 2009). According to government statistics, Taobao’s gross merchandise volume (GMV) equaled approximately 1.4% of China’s total retail trade in the first half of 2009, and will soon be the primary online shopping destination for the largest online population in the world (“Taobao sees significant new trends,” 2009). 2 Problems The emerging online C2C market in China is gaining more attentions from scholars and marketers. China has been considered one of the countries that has a low Internet penetration rate, but recent statistics showed that the online shopping penetration rate was up to 70% in 2008, indicating that the Chinese people have a high tendency to make online purchases (“China to be Asia-Pacific's largest,” 2008). While online market studies are actively conducted, little research has been performed on the Chinese online market. As the Chinese online market grows and matures, loyalty will be a significant issue because of its positive effect on long-term profitability to e-retailers (Ribbink, Riel, Liljander, & Streulcens, 2004). Loyal and returning customers are vital to online firms because of the financial benefits to e-retailers (Gummerus, Liljander, Pura, & Riel, 2004; Reichheld & Schefter, 2000). Many current e-loyalty models have been developed and tested in western countries (Cyr, Kindra, & Dash; 2008; Jin, Park, & Kim, 2008; Kim, 2005; Rinbbink et al., 2004), but few applications on Asian countries were found. Thus, there is a need to focus on Chinese e-loyalty and identify the influencing factors. Additionally, few studies revealed the unique structure in Chinese online market. Although there are a number of reasons that explain the success of Taobao, we need to understand why Chinese shoppers switched from EachNet to Taobao from the consumer perception. Thus, exploring Chinese e-loyalty helps us provide a better understanding of the Chinese consumers’ switching behavior and how Taobao won the market. This study intended to understand how Taobao beat EachNet and became a leader in the Chinese C2C online market. While previous studies compared Taobao and EachNet by employing 3 a qualitative approach (Li, Li, & Lin, 2007; Ou & Davison, 2009), this study used both qualitative and quantitative approaches by conducting the focus group interviews and consumer survey in order to investigate Chinese consumers’ perceptions of online shopping. Purpose of the Study The existing voids in the current literature directed the goal of this study. First, as website features is an important factor influencing e-loyalty, this study intended to examine the influences of website features on e-satisfaction, ultimately e-loyalty among Chinese online consumers focusing on the two e-retailers: Taobao and EachNet. Taobao was established by a Chinese local company and accounted for 75% of the market shares in the Chinese C2C online market in 2008 (iRearch, 2006). EachNet is operated by a Chinese company currently and was once owned by eBay (U.S.) (“E-commerce in China,” 2008). EachNet occupied the Chinese online C2C market until Taoabao emerged as a big competitor in 2003. In order to understand the advantages of Taobao in the Chinese C2C online market, the second goal of this study is to compare two websites (Taobao and EachNet) in terms of the perception of website features that affect esatisfaction and e-loyalty. Significance of the Study This study contributed to the provision of important implications for both researchers and practitioners. For the academic implications, this study used both qualitative and quantitative approaches to find Chinese consumers’ perceptions of online shopping. 4 Based on the focus group interviews and a survey, several unique website features were identified among Chinese consumers. Second, this study developed a research model to investigate the influences of website features on satisfaction and loyalty among Chinese consumers by extending Doll and Torkzadeh’s (1988) End-User Computing Satisfaction (EUCS) model. Third, this study compared Chinese consumers’ perceptions of Taobao and EachNet in terms of website features, satisfaction and loyalty in order to understand the reasons behind Taobao’s popularity and success. For the managerial implications, this study identified the unique website features that affected Chinese consumers’ satisfaction, and ultimately their loyalty. Thus, foreign e-retailers who intend to start business need to understand Chinese consumers’ online shopping behavior in order to satisfy their unique needs. Also, by learning Taobao’s successful lesson, foreign e-retailers need to create an innovative strategy for the local needs without imitating others’ strategy. Hypotheses H1-H4: Relationships between the perception of website features, e-satisfaction, and e-loyalty H1a. Ease of use influences satisfaction among Chinese online consumers. H1b. Format influences satisfaction among Chinese online consumers. H2a. Content influences satisfaction among Chinese online consumers. H2b. Timeliness influences satisfaction among Chinese online consumers. H3a. Merchandise influences satisfaction among Chinese online consumers. H3b. Payment influences satisfaction among Chinese online consumers. 5 H3c. Entertainment influences satisfaction among Chinese online consumers. H3d. Security influences satisfaction among Chinese online consumers. H3e. Delivery influences satisfaction among Chinese online consumers. H3f. Communication influences satisfaction among Chinese online consumers. Chinese online consumers’ satisfaction with websites influences with loyalty. H5-H9: The comparison between Taoabao and EachNet H5a. Chinese consumers perceive Taobao more positively than EachNet for the ease of use. H5b. Chinese consumers perceive Taobao more positively than EachNet for the format. H6a. Chinese consumers perceive Taobao more positively than EachNet for the content. H6b. Chinese consumers perceive Taobao more positively than EachNet for the timeliness. H7a. Chinese consumers perceive Taobao more positively than EachNet for the merchandise. H7b. Chinese consumers perceive Taobao more positively than EachNet for the payment. H7c. Chinese consumers perceive Taobao more positively than EachNet for the entertainment. H7d. Chinese consumers perceive Taobao more positively than EachNet for the security. 6 H7e. Chinese consumers perceive Taobao more positively than EachNet for the delivery. H7f. Chinese consumers perceive Taobao more positively than EachNet for the communication. H8. Chinese consumers are more satisfied with Taobao than EachNet. H9. Chinese consumers are more loyal to Taobao than EachNet. Definition of Terms E-loyalty is the customers’ favorable attitudes toward a given e-retailer, resulting in repeat buying behavior. E-satisfaction is the contentment of the customers with respect to his or her prior purchasing experience with a given e-retailer. Usability is users’ ability to use and interaction with a website. Information is an accurate and efficient information presentation. Service interaction is a convenient and efficient communication between customers and e-retailers. Limitations This study only considered college female students in China as samples. In the future study, we may focus on both female and male college students. Also, this study was only performed in two cities, which might lead to different responses if the study was conducted in other areas. In addition, several unique factors of website features from a 7 qualitative study (focus group interviews) were found, but some of them can’t be identified from a quantitative study (survey). Outline of Work This thesis consists of five chapters. Chapter one provides an introduction of the problem area, the problems acknowledged in the previous literature, a statement of the purpose of the research, discussion of the potential significance of the findings, suggested hypotheses, definitions of terms used in the study, and the limitation inherent in the research design. Chapter two includes an overview of existing literature regarding the Chinese online market, e-loyalty and the antecedent and the EUCS model. This chapter also develops the research model that underlies this study and offers the hypotheses to be tested. Chapter three presents the methodology used in this study, including the procedures of focus group interviews, pre-test and main survey. Sampling and data collection for each method are also described in this chapter. Chapter four provides the results of the exploratory factor analysis, regression analysis and t-test analysis. Chapter five presents the findings of this study. Also, based on these findings, academic and managerial implications and limitations are discussed. 8 CHAPTER II LITERATURE REVIEW Chinese Online Market 1. Internet Users in China Internet usage in China is moving beyond its infancy (Du, 1999). When the first website for scientists and researchers was first linked to the Internet in China in May 1994, the estimated number of total Internet users was only 1,600 (Du, 1999; Wong, Wang, Song, Bielski, & Ganger, 2004). There is no doubt that there has been a powerful surge in Internet adoption in China since 1994, resulting in a dramatic increase of Internet users (Fang, Chan, Brzezinski, & Xu, 2006). In 2003, the number of Internet users in China had reached 68 million, making China the second largest Internet market in the world, behind the U.S. (CNNIC, 2003). According to the China Internet Network Information Center (CNNIC), the number of Internet users reached 137 million by Dec 30 th, 2006 (CNNIC, 2006). Figure 1 presents the number of Internet users increased to 253 million by the middle of 2008, surpassing the U.S. and becoming the largest Internet market in the world (Barboza, 2008). It is expected that the number of Internet users still has a potential for future growth, since this number only accounted for 19% of China population (Barboza, 2008). 9 If one considers the demographics of Chinese Internet users, 68% of Internet users are less than 30 years old (“China’s Internet users,” 2009). Research shows that men use the Internet more frequently than women (Fang et al., 2006). Students form the largest segment of Internet users, accounting for 29% of the total users (“China’s Internet users,” 2009). About 34% of Internet users go online at Internet cafes and most of the Chinese Internet users live in the coastal and metropolitan areas such as Beijing, Shanghai, and Guangzhou (Fang, et al., 2006). Major activities of Internet use range from obtaining information, social networking to entertainment (“China’s Internet users,” 2009; Fang et al., 2006). Figure 1. Numbers of Internet Users in China from 1997 to 2008. 2. Online Shoppers in China In 1998, the first online commercial transaction was conducted in China (Dieter & He, 2000). As the number of Internet users increases in China, so does the number of online 10 shoppers. According to Figure 2, in 2003 the number of shoppers reached 15.2 million, which was approximately 26% of Internet users, considering there were 59.1 million internet users at that time. After rapid growth during the initial period, the growth of the number of shoppers slowed down. By the end of 2006, the number of online shoppers in China was 43.1 million, increasing by 32.6% from 2005. This number may exceed 100 million in 2010 (“China’s online shopping in 2008,” 2009). As Figure 3 shows, the per capita online shopping amount has kept growing. The amount spend increased was raised from $19 in 2003 to $229 in 2008 (MarketAvenue, 2009). Figure 2. Growth of Chinese Online Shopping Industry 2001-2010. Source: www.iresearch.com.cn The demographics of Chinese online shoppers are similar to those Internet users in general. Male online shoppers outnumber female, accounting for 55% of the total users (“E-commerce in China,” 2008). The 26-30 age group is a major force in Internet 11 consumption (XinHua, 2008). Most of the shoppers come from big cities such as Beijing, Shanghai and Guangzhou (XinHua, 2008). The top ten retail items on Chinese websites such as Taobao are apparel, mobile phones, cosmetics, household goods, sporting goods, personal computers & accessories, jewelry, laptop computers, home appliances, and stored value cards (for mobile phones) (Steiner, 2009). Figure 3. Per Capita Online Shopping Amount in China 2003-2008. 3. Hindrance of the Initial Development of Chinese Online Market The development of the Chinese online market was slow until 2006 (Fu et al., 2007). The inability to understand Chinese consumers, slow Internet speed but high cost for Internet access, inefficient logistics, and undeveloped online payment systems all contributed to the slow development. When e-commerce initially appeared in China, most of the Chinese e-retailers could not provide any unique benefits to their customers. Customers expected lower prices than in retail stores, 24-hour customer service, a better selection of merchandise, and etc. (Dieter & He, 2000). However, few e-retailers could meet customers’ expectations. 12 The slow speed and high cost of online access also limited the numbers of Chinese online shoppers. At the beginning stage of online shopping in China, most people had to use a calling card issued by the telecommunication company to access to the Internet, and the accessing fee per minute was high for ordinary Chinese people (Bin, Chen, & Sun, 2003). For example, Chinese Internet users had to spend 20 % of monthly income to access Internet for only one hour each day, while Americans spent roughly only 2% of their monthly income for unlimited access to the Internet and their monthly telephone charges (Dieter & He, 2000). In the U.S., broadband access helped American Internet users access the Internet more quickly, so they did not care about the time spent online (Bin et al., 2003). In China, it took a long time to navigate a web page using Internet access through the dial-up. Broadband service gradually became available in some big cities, but service charges for renting broadband of sufficient width were higher than those for renting the narrower band used in telephone access at that time (Dieter & He, 2000). Therefore, More than half of Internet users still used dial-up to access the Internet, whereas only 10% of people use broadband (Wong et al., 2004). Inefficient logistics also existed because of undeveloped transportation infrastructure, fragmented distribution system, and limited use of technology. Delivery requirements had resulted in some unique Chinese adaptations to meet customers’ needs. Chinese e-retailers not only hired national carriers such as China Post or Express Mail Service (EMS) but also relied on traditional labor-intensive delivery systems such as their own door-to-door delivery teams or on the small and specialized local delivery systems (Dieter & He, 2000). The delivery time through the post office was slow and sometimes mishandled (Bin et al., 2003). In addition, although some foreign competitors such as 13 EMS began to be present in the large cities, they were very expensive (Bin et al., 2003). Therefore, hiring hourly workers to deliver goods and collect money for those goods was very popular in China. Bin et al. (2003) suggested that labor delivery was not the best solution in e-retailing, but advanced logistic systems based on technologies enable eretailers to provide efficient order confirmation and precise tracking and billing details. Another constraint was that Chinese people had little desire to use an online payment system using a debit or credit card. In the beginning of the online market in China, the credit card system was not developed well because banking services were expensive and inefficient (Li & Suomi, 2006). To get a credit card, people had to go through a long process. Also, Chinese banks lacked a centralized settlement system that allowed people use debit or credit cards in every place or even on websites. Credit card usage was also not welcomed because Chinese people did not like running into debt and paying the annual credit card service fees. Additionally, the Chinese did not trust online transactions. People wanted to pay when they received the products, not before (“What is impeding growth,” 2005). Therefore, until 2000, the most common payment method among Chinese online shopping websites was still cash payment through website-hired deliverymen that picked up and delivered at door-to-door (Bin et al., 2003). 4. Growth of Chinese Online Market The Chinese online market is growing after overcoming initial problems. Online shopping is now popular in China because people perceive it as an efficient shopping method that facilitates the users to participate in trading activities and provides cheaper prices, convenient access, and a large variety of products (Cui et al., 2008). 14 One of the reasons for the transition from initial difficulty to current growth is the wide diffusion of Internet technologies into business and households, as well as the active role of Chinese Internet users in the online market (Li et al., 2007). In the past, affordability and slow speed were the major factors that slowed down the Chinese Internet growth. But now, the improvement of broadband infrastructure has helped cut down the connection cost and more people can have Internet connection (Gray, 2007). The average connection fee dropped by almost 20 percent to $10.75 per month at the end of 2006 (Grey, 2007). The rapid development of a logistical system is another reason for the market growth. In the past, e-retailers realized the problem of the inefficient traditional system (Fu et al., 2007). Two ways of logistical distribution were devised for Chinese online market. One is that e-retailers set up their own storage and distribution centers where online consumers are densely populated. Another way is that e-retailers co-operate with a third party professional logistics distribution institution to deliver goods. The development of a credit card system also contributes to the Chinese online market. Chinese banks such as China Merchants Bank (CMB) are pushing hard to develop credit cards that appeal to younger Chinese customers to use in online transactions (Bin et al., 2003). Besides, China’s financial services market is also opening its doors to global banks such as Citibank to launch their credit card to Chinese consumers (Bin et al., 2003). In the past three years, the annual growth rate of credit card holders in China has reached 54% (“Credit card system in China,” 2010). However, China lacks an online payment system that handles online transaction in a safe and efficient manner. In order to solve this problem, Taobao is developing its secure payment 15 service “Alipay”, which temporarily keeps the money for the purchase before the buyer confirms to receive the purchase (Yang, Liu, Zhao, Qi & Lin, 2009). By using Alipay, customers could experience a reliable and secure e-shopping environment. 5. Chinese Online C2C Market: Taobao vs. EachNet In China, the B2C market is not dominating the online market share, nor has it seen a big grown over the past several years (Wong et al., 2004). Instead, since the appearance of EachNet, the C2C market gradually became very popular among Chinese consumers. Followed by Taobao, the C2C market has played a major role in the development of Chinese online market. As shown in Table 1, the beginning of the Chinese online C2C market was in 1999. EachNet, the first Chinese online auction website, was started by two Chinese Harvard graduates. eBay (U.S.) acquired one third of the market shares of EachNet in 2002 (Lin & Li, 2005). In 2004, eBay (U.S.) finally took over EachNet but kept the company name “EachNet” (Ou & Davison, 2009). TaoBao (www.taobao.com) was founded in 2003, which was a subsidiary of Chinese company, Alibaba (Ou & Davison, 2009). At that time, EachNet dominated the Chinese C2C online market, accounting for 84% of the market share, while Taobao’s market share was only 8%. The name of “Taobao” has a strong cultural meaning, meaning “treasure rush” (Lin & Li, 2005). Before Taobao launched in China, EachNet was the only player in the C2C online market (Lin & Li, 2005). However, the fierce competition between EachNet and Taobao was 16 Table 1. The History of Taobao and EachNet. Taobao Founder History EachNet A Chinese e-retailer, Alibaba 2003- Established as a wholly owned subsidiary of Chinese company. 2006- Became the biggest C2C market in China. 2008- Launched the B2C platform. Established by two Chinese Harvard graduates Market Share 2003: 8% 2008: 75% 1999- Established as the first Chinese online auction website. 2002- eBay (U.S.) invested EachNet and gain 33% stock of EachNet. 2004- eBay totally took over EachNet. 2006- EachNet started to cooperate with Tom.com. 2007- eBay decided to withdraw Chinese market. 2009- Owned and controlled solely by Tom.com. 2003: 84% 2008: 7% apparent from the beginning of 2004 (“What is impeding growth,” 2005). TaoBao emerged as a key rival to EachNet and Taobao grew from 9% of the online C2C market share in the first quarter of 2004 to 50% by the fourth quarter of the same year (Lin & Li, 2005). At this year, EachNet’s market share dropped to 35%. In 2005, Taobao’s market share was 57%, whereas EachNet’s was 34% (Liu, 2006). In 2006, Taobao took almost two thirds of the online C2C market share (Liu, 2006). eBay (U.S.) decided to withdraw from the China market in 2007. In the same year, a Chinese online service company, Tom.com, started to work with EachNet. In 2008, Taobao kept dominating the C2C online market and accounted for 75% of the market share, whereas EachNet had only 7% (Hu, 2009). In the same year, Taobao launched its B2C platform. In 2009, EachNet was 17 owned and controlled solely by Tom.com. Although Tom.com made a significant improvements for EachNet, the cooperation was still not as successful (Lu, Zhao, & Wang, 2009). By defeating EachNet, Taobao gradually made itself a well-known e-commerce website by dominating Chinese C2C market (see Figure 4). In the following parts, this study will explore how Taobao became leading e-commerce website and how it defeated EachNet in such a short time. Figure 4. The Comparison of Market Share between Taobao and EachNet by Years. 6. Growth Factors for Taobao Taobao’s strong growth was driven by a number of factors including the increase of Internet usage in China, and the rising penetration of domestic e-commerce. Several other factors were taken into account for Taobao’s success: The location where Taobao started its business, right target market and the investment made for Taobao’s free listing fees, 18 variety of merchandise, promotion and B2C market (Table 2 ). These factors ensured the overall experience of buyers and sellers remained the best in the business (Steiner, 2009). Table 2. The Comparisons of the Business Strategy between Taobao and EachNet. Location Target Market Listing Fee Taobao Business started from medium-small cities. 20-30 years old college students and people with good education levels. No listing fee at the beginning Unique Needs Comprehensive product offering provided steady source of goods for sellers. Promotion Strategy Outdoor promotion (e.g., public transportation; outdoor billboards) C2C format Cooperated with famous local and foreign brand companies to launch a B2C market. Less auctions, more fixed prices Auction Structure EachNet Business started from big cities. 20-40 years old, well educated, and highly income people. 2001- charged listing fee. 2004- lowered listing fee. 2008- no listing fee . Fewer variety of merchandise Bad service could not satisfy Chinese consumers’ needs. Advertisement contract with major websites. C2C format; no B2C format More auctions, less fixed prices 6-1. Location Different from EachNet, which started businesses in big cities such as Shanghai, Taobao decided to extend its business in “Jiang-Zhe” area, located in the Mid-eastern coast of China with many medium scale cities such as Hangzhou and Nanjing. Taobao chose this area because it contained many intensive small and medium-sized state-owned 19 enterprises, which helped Taobao find a steady source of goods (baidu.com, 2010). Taobao helped these enterprises to develop a relationship with customers and provided a platform for them to sell their products or exchange information (baidu.com, 2010). This environment allowed more sellers on Taobao, and thus more buyers were attracted to look for their needs from sellers. 6-2. Target Market Choosing a right target market is another factor which contributed to the success of Taobao. With the popularity of Internet in China, students became the major Internet activists (Mederios, 2009). According to the report in 2007, student buyers made up a quarter of entire online shoppers (Barboza, 2008). When EachNet started its business in 1999, the Internet was not popular. EachNet identified its customers as 20 - 40 years old as well as having a high income (Liu, 2006). EachNet targeted older people because it believed that this group of people would have more financial ability to access to the Internet, which in turn made them able to purchase online. However, while EachNet targeted the broader group of people, Taobao targeted on the group of young people 20 30 years old who have more potential for online shopping. 6-3. Strategy of Listing Fees In 2001, EachNet began to charge customers’ listing fees, such as a transaction service fee, product list fee, and promotion fee. This immediately resulted in a 40% decline in the number of customers (Chen et al., 2007). In response to EachNet’s fee charging, Taobao decided not to charge any listing fees in order to attract more people to start their 20 business. With this action, Taobao captured the market rapidly and took more than a 60% market share in two years (Yang et al., 2009). Taobao believed that providing this service for free was a huge investment that could lead to a long-term benefit to gain the loyal customers. Even though EachNet has kept lowering its listing fee since 2004, people have not returned to EachNet because of their satisfaction with Taobao (Yang et al., 2009). 6-4. Unique Needs The other reason people want to shop on Taobao is because Taobao provides the most comprehensive product offerings, ranging from hard-to-find items to mainstream retail categories such as apparel, sporting goods, and household products (Hu, 2009). Since Taobao provided a steady source of goods, a growing number of sellers were attracted to build a business on this platform. However, EachNet’s IT engineering decision-making was centralized in the U.S., prohibiting EachNet from responding rapidly to Chinese costumers’ needs (Xin, Nie, & Pucik, 2007). For this reason, sellers did not want to sell their products on a website with bad service, which in turn influenced buyers who were seeking for a better choice of merchandise. Therefore, sellers turned to Taobao to sell their products, increasing the number and variety of merchandise sold on Taobao and exceeding that of EachNet. Buyers also did not want to buy from a website that had fewer sellers and bad service. According to CNNIC (2006), the ratio of products selling on Taobao to those on EachNet was 24:1. A Taobao buyer commented that she could find almost everything she needed through Taobao, from underwear to furniture, from candy to DVD players (Rong, 2010). Taobao has a service that helps customers buy products abroad, that might not be available in China. Thus, Taobao’s variety of products and 21 special services meet Chinese buyers’ unique needs, which in turn positively influences their experience with Taobao. 6-5. Promotion EachNet and Taobao adopted different promotion strategies to promote their services. EachNet focused on the mainstream media such as China’s national TV channels and major websites (Chen et al., 2007). Also, EachNet allowed customers to send mail to other registered users in order to get more customers (Chen et al., 2007). On the other hand, Taobao’s promotion strategy more relies on non-mainstream media and small websites because the big websites had already signed one-year exclusive contracts with EachNet. Thus, Taobao launched a large-scale advertising campaign in the public such as subways, buses and outdoor billboards throughout China’s main cities to attract widespread media and public attention (Xin et al., 2007). The result was beyond their expectation. Many customers were attracted by Taobao’s promotion and quickly turned to its service (Sina.com, 2006). After EachNet discontinued the contracts with the portal websites in 2005, Taobao announced a strategic alliance with Sohu.com, one of the biggest website in China (Yang et al., 2009). These two websites work together to share their large active user group and promote their business. 6-6. Auction Market in C2C Format Online auctions were not popular in China as compared to the U.S. Chinese people preferred a direct relationship between sellers and customers and fixed prices (Yue, 2008). People did not want to spend much time to get the products with a little lower price 22 because they could find the best price by comparing millions of sellers’ stores (Yue, 2008). Considering this factor, Taobao had only 10% of its listings for auction, while auction accounts 40% of EachNet’s listing in 2005 (Wang & Emurian, 2005). Compared to EachNet’s single C2C format, Taobao also launched a B2C platform that allowed domestic and overseas retailers sell indirectly to Chinese customers. Like traditional department stores, the B2C companies are source of quality products for buyers of good taste. These companies offered guaranteed quality, good compensation policies and more convenient payment methods (“Taobao sees significant new trends,” 2009). With the addition of the B2C format, more and more famous companies have launched their stores on Taobao, such as China’s biggest book store-xinhua and Japanese casual wear seller UNIQLO (Barboza, 2008). Through its B2C format, Taobao provided a new platform to better meet both sellers and buyers’ needs, which contributed to Taobao’s continued success. 7. Website Features of Taobao and EachNet In order to find the reasons of Taobao’s success, previous articles compared the website features of Taobao and EachNet (Bin et al., 2003; Chen et al., 2007; Lin & Li, 2005; Ou & Davision, 2009; Yue, 2008). This part will review the major unique website elements in these two websites – Taobao and EachNet (Table 3). 7-1. Website Interface Design Taobao is considered a cute, beautiful and user friendly website by customers (Yue, 2008). The website interface on Taobao is picture-rich, mostly consisting of smooth 23 rectangles against an orange background (Chen et al., 2007). Also, Taobao has a greater variety of product listings. For example, Taobao's listings categories are classified into “men,” “women,” “student,” “apparel,” “beauty,” “fashion,” “home,” “cellphone,” and “sports” (Taobao.com, 2010). In addition, customers are encouraged by Taobao to make suggestions about the website design and personalize their own webpage and service (Yue, 2008). For example, sellers on Taobao can design coupons for every transaction. On the other hand, EachNet’s interface design looks more international and professional (Yue, 2008). For example, EachNet is text-rich, mostly consisting of rectangles, against a green and blue background (Chen et al., 2007). Besides, EachNet uses a global platform, grouping users into “men,” “women,” “home,” “cellphone,” and “electronics” (EachNet.com, 2010). There were not personalized design and services available for the sellers before 2005 (Yue, 2008). In 2008, EachNet learned a lesson from Taobao’s interface design and tried to copy it. But the new website design did not have any innovation to attact customers (Yue, 2008). 7-2. Customer Service According to Yue (2008), Taobao provides many kinds of customer service to meet both sellers’ and buyers’ needs. Customers can ask questions or make complaints through call centers, live chat, or emails. A call center is available 24 hours, seven days a week, and Taobao promises that any questions and complaints will be settled within 24 hours. Customers can also enter “Taobao Helping Community” to have a live chat with the other members to offer and receive help. Different from EachNet and eBay, Taobao’s top 24 management executives frequently communicate with their customers in order to better understand their needs and requirements. In contrast, EachNet has experienced slower growth in terms of customer service (Ou & Davision, 2009). Until 2005, EachNet did not provide a contact number for customers’ service. Instead, the only way to contact EachNet was by e-mail or online discussion groups (Rein, 2006). However, this method was disliked by customers since it was inefficient to handle customers’ urgent problems (Rein, 2006). Also, due to the lack of online live chat, EachNet’s buyers could not immediately report their problems or complaints and receive answers. After 2005, because of competition from Taobao, EachNet began to improve customer service by providing a variety of contact methods such as a call center, live chat or emails. However, compared to Taobao’s 24 hours, seven days a week, EachNet’s customer service was only available during office hours until 2008 (Yue, 2008). The most complaints about EachNet’s customer service happened in 2005. Since EachNet used its server in the U.S. to run the website, the distance slowed down the loading speed, which brought an unstable system and a slow loading speed. Even though EachNet conducted system maintenance, it was inconvenient to customers, resulting in a significant number of EachNet’s buyers and sellers switch to Taobao (Chen et al., 2007). 7-3. Payment System and Method Both Taobao and EachNet have their own payment system. In 2003, an online payment tool “Alipay” launched on Taobao, and became the key of Taobao’s innovation (Chen et al., 2007). Alipay has its Chinese name-“Zhi Fu Bao”, meaning “A valuable payment 25 system.” In China, since people do not easily build trust with each other, buyers do not want to pay until seeing products and sellers do not want to send out items before receiving money (Lin & Li, 2005). For this reason, Alipay was designed as a third party guarantee for meeting both sellers’ and buyers’ needs. In this payment system, Alipay temporarily keeps buyers’ money after the buyers confirmed the transaction. Then the sellers are notified to send out the items. After the buyers receive the goods and ensure that there is no problem with the products, Alipay will send money to the sellers (Li & Liu, 2007). Before 2007, EachNet used eBay’s payment system-Paypal. However, through paypal, buyers pay directly to sellers without any middle transaction. After 2007, EachNet improved its payment system, “An Fu Tong”, which is similar to the function of Taobao’s Alipay. During the An Fu Tong payment process, EachNet itself serves as a third party guarantee. Besides, EachNet also set up the An Fu Tong assurance fund, which provided full assurance of the transaction. Under this service, if the transaction value of goods is lower than 2, 000 Yuan (approximately 294 dollar), EachNet would recommend buyers to pay by Paypal, and the purchases will be under protection with Paypal up to 2,000 Yuan. If the purchase is more than 2, 000 Yuan, EachNet recommends its buyers to use An Fu Tong. The variety of Taobao’s payment methods meet everybody’s needs. On Taobao, there are two types of payment methods: online and offline payment. Online payment includes debit, credit card, or a recharge card for cell phone or a recharge Taobao card bought from a specific convenient store. Regarding the offline payment method, if a buyer does not have a debit card or he/she has concerns about paying online, Taobao will 26 arrange an individual to deliver the item to buyers’ home and receive the money at that time. Buyers also can go to convenient stores to pay by swiping their debit card, or going to a post office to mail the money to a sellers’ account (Li & Liu, 2007). EachNet, however, only has three ways to pay: debit card, remittance from a post office and Face-to-Face (FTF) cash payment (Li & Liu, 2007). Regarding its online payment system, customers have to download a gateway system connected to the corresponding bank (Li & Liu, 2007). There is no credit card payment or recharge cards available (Bin et al., 2003). Also, EachNet does not have connection with any convenient stores or supermarkets, which would provide an offline payment method (EachNet.com, 2010). 7-4. Communication Tool and Community When Taobao discovered its customers were willing to negotiate with sellers before purchasing, the company quickly provided an online messaging service called “AliWangwang.” Ali-Wangwang provides instant communication between buyers and sellers, and enables buyers to get thorough product knowledge in a short time and a chance to negotiate before they decide to purchase (Yue, 2008). Through Ali-Wangwang, buyers can check sellers’ statuses through an icon (active blue or inactive grey) (Ou & Davision, 2009; Yang et al., 2009). Conversely, EachNet provides limited opportunity for buyers to contact sellers immediately. There were no instant messaging or direct communication between the two parties until 2006 when it adopted Skype (Chen et al., 2007). Also, sellers’ online status was unknown until buyers tried to contact them by logging into Skype. In 2007, EachNet 27 created its own online message tool “Yi Qu Tong”, which has a function similar to Taobao’s Ali-Wangwang (www.ebay.com.cn). But at that time, people were already familiar with Ali-Wangwang and were not willing to switch to another communication tool. Both Taobao and EachNet have their own community, which provides peer evaluation, chat rooms, and public forums in order to encourage customers to communicate through the community (Ou, Sia, & Banerjee, 2007). Their community functions are similar: both are initiated and organized by the members themselves and they are more willing to share information than emotional experiences (Chen et al., 2007). Taobao fosters a stronger and more active community and encourages customers to share their knowledge, personal stories, and feelings, which provides an emotionally-oriented virtual community (Chen et al., 2007). Most of the activities in the Taobao community are initiated and organized by the members themselves (Yue, 2008). Some people believe that they are respected by others because their articles receive a lot of replies, even from Taobao’s top management team. Therefore, this motivates to get more involved into the community (Yue, 2008). EachNet also organizes and sponsors online and off-line community activities. The members of the EachNet community are more willing to share information about just products or sellers whereas Taobao’s community is more active in sharing an emotional buying experience (Yue, 2008). This emotional connection with Taobao makes people feel more comfortable using Taobao and emphasizes a lack of personal interactions in the EachNet’s community. 7-5. Feedback System 28 Both Taobao and EachNet have a similar feedback system. Every EachNet member has a profile in the Feedback Forum. A profile has basic information about the sellers and a list of feedback left by their trading partners from previous transactions. Sellers’ feedback scores are determined by rating from buyers (Li & Liu, 2007). However, Taobao differentiates in its feedback system from EachNet. First, Taobao’s buyers rate sellers based on the following criteria: 1) sellers’ attitudes; 2) speed of delivery; 3) whether the picture match the product (Taobao.com, 2010). Second, only buyers whose payment is accomplished through Alipay can impact feedback ratings and determine sellers’ feedback. Buyers using other payment channels can attend the rating process but have no impact on others’ scores (Li & Liu, 2007). Third, Taobao’s evaluation rules state that every 14 days, the buyer can evaluate again and influence the buyer’s score another time (Li & Liu, 2007). Fourth, on Taobao, a two-score profile of each member is available: one is reputation score as seller, and the other as buyer. This distinguishment is helpful because one takes different role during each transaction. By this means, the other participant can get detailed information about his partner (Lin & Li, 2005). On the other hand, on EachNet, the feedback criterion includes a positive, negative, or neutral rating, and a short comment (Li & Liu, 2007). Unauthorized buyers can even leave evaluation, which lead to reputation abuse or fear of retaliation (Lin & Li, 2005). Also, buyers can evaluate sellers’ feedback score only once and only buyers can evaluate sellers on EachNet. 29 Table 3. The Comparisons of Website Features between Taobao and EachNet. Website Interface Design Customer Service Payment System and Method Communication Tool Community Feedback System Taobao Customer-centric; Picture-rich, friendly Greater variety of product listing Personalized design 24 hours service Call center; live chat and emails In “Taobao helping community”, top managers frequently communicate with customers Alipay in 2003 Debit card; credit card; recharged card for cellphone/ Taobao recharged card; remittance from post office; cash payment Ali-Wangang in 2003 More activity Seller’s feedback score was evaluated by a positive, negative, or neutral rating, and a short comment Anyone can evaluate through this system. Sellers and buyers can evaluate each other Buyers can evaluate sellers’ feedback score only by one time Paypal before 2007 An fu Tong in 2008 Debit card; remittance from post office; cash payment 2006- imported Skype Yi Qu Tong in 2007 Less activity Seller’s feedback score was evaluated by sellers’ attitude; speed of sending out products; whether the pictures match with the products. Only buyers who pay through Alipay can evaluate sellers Sellers and buyers can evaluate each other One can evaluate another and influencing its score for another time 30 EachNet Product centric; Textrich, professional Global listing platform No personalized design Office-hours service No call center before 2005 E-loyalty and the Antecedents Researchers identified satisfaction as the primary driver of online shoppers’ loyalty behavior, and many empirical studies confirmed the relationships (Cyr et al., 2008; Gummerus, et al., 2004). Previous studies also suggested website features as an antecedent of online shoppers’ loyalty. Therefore, this review will focus on e-loyalty and its antecedents, satisfaction, and website features. 1.E-loyalty Loyalty has been defined in many different study contexts. Engel, Kollat and Blackwell (1982) referred to brand loyalty as the “the attitudinal and behavioral response toward one or more brands in a product category expressed over a period of time by a consumer” (p. 22). Similarly, customer loyalty refers to the degree of repeat purchasing behavior with a service provider or a positive attitudinal disposition toward a service provider (Gremler & Brown, 1997). These definitions consider both behavioral and attitudinal perspectives, which is consistent in the concept of e-loyalty. Anderson and Srinivsan (2003) defined e-loyalty as the customer’s favorable attitude toward an electronic business resulting in repeat buying behavior. Thus, as Gremler (1995) suggested, both behavioral and attitudinal dimensions are needed to measure loyalty. The behavioral aspect of loyalty consists of repeated purchases, whereas the attitudinal aspect includes a degree of positive disposition which is caused by some unique value associated with the brand or a service provider (Chaudhuri & Holbrook, 2001). Building loyalty and increasing the number of returning customers are vital to online firms. Acquiring new customers on the Internet is enormously expensive, but 31 having loyal customers will save cost and increase profit (Srinivasan, Anderson, & Ponnavolu, 2002). Thus, if e-retailers could solicit repeat business on their websites, the company will profit (Reichheld & Schefter, 2000). Retailers should devise market strategies in order to gain the benefits associated with loyal customers (Srinivasan et al., 2002). For example, e-retailers maintain contact with their customers via email to deliver new products or promotion information (Merisavo & Raulas, 2004). 2. E-satisfaction According to Oliver (1997), satisfaction is the summary of the psychological state that results when the emotion surrounding disconfirmed expectations is coupled with a consumer’s prior feelings about the consumers’ experience. Similarly, Gummerus et al. (2004) suggested that satisfaction is a cumulative and attitude-like judgment that is based on customers’ past experiences. In accordance with the definition of satisfaction in the offline market, Anderson and Srinivasan (2003) defined e-satisfaction as the contentment of the customers with respect to his or her prior purchasing experience with a given eretailer. Satisfaction is significant in sustaining profitability to e-retailers (Delgado & Aleman, 2001; Flavian et al., 2006; Schaupp & Belanger, 2005). A satisfied customer tends to develop a closer relationship with e-retailers and takes steps to increase dependence on them (Gummerus et al., 2004). Increased customer satisfaction will lead to customer loyalty which results in increased profits (Bansal, McDougall, Dikolli, & Sedatole, 2004). However, if customers have a negative experience and are dissatisfied with a service provider, they may easily switch to a new provider. A dissatisfied customer 32 is more likely to search for information on an alternative website and may wish to redefine his/her relationship with the retailers (Gummerus et al., 2004; Tversky & Kahneman, 1974). Thus, assessing customer satisfaction levels in online shopping is essential in gauging the ultimate success or failure of e-retailers (Schaupp & Belanger, 2005). 3. Website features Previous researchers categorized website features in different ways (Barnes & Vidgen, 2001; Wolfinbargar & Gilly, 2003; Yoo & Donthu, 2001). WebQual is one of the most popular and the most comprehensive tools to measure the quality of a website (Loiacono, 2002). WebQual has been applied by many researchers in different online contexts, including general online shopping and online auctioning. The WebQual instrument has been under development since early 1998 and has evolved via a process of iterative refinement in different ecommerce domains (Tarigan, 2008). The first version of the WebQual instrument was developed with students respondents who were asked to consider the qualities of an excellent business school website (Barnes & Vidgen, 2001). As a result, four major dimensions were identified: Ease of use, experience, information, and communication and integration (Barnes & Vidgen, 2001). WebQual 2.0, which was developed in the B2C context, is an extension of WebQual 1.0 model and has the additional dimension of interaction quality. The new version of the instrument was tested in the online auction context. WebQual 3.0 found that all of quality dimensions could be categorized into three distinct areas: Site quality, information quality, and service interaction quality (Barnes and Vidgen, 2001). 33 Barnes and Vidgen (2003) developed WebQual 4.0 to evaluate the quality of a website in the context of online shopping. The authors adopted the three dimensions of website quality from WebQual 3.0, usability, information and service interaction. Usability deals with the qualities related to the functional use of a website and the website design such as ease of navigation and website appearance. Information focuses on the quality of the content of the website such as accuracy, reliability and up-to-date content. Service interaction concerns how a user experiences the service provided by a website such as the transaction and security mechanism, and the delivery and communication systems. By reviewing the previous literature related to information system research, the authors developed twenty-two items to evaluate the dimensions of usability, information and service interaction. The study was conducted through the online survey focusing the target population of online bookstore consumers among the college students in the UK. The subjects were asked to evaluate the three largest online bookstores (Amazon, BOL and Internet Bookshop) and answer the online questionnaire. Through the factor analysis among 376 respondents, the results yielded the dimension of information quality loading as a single factor, while the dimensions of usability consisted of two factors: usability and interface design. Service interaction quality included two factors of trust and empathy. WebQual 4.0 was applied in various retail contexts in different cultures. For example, Park and Baek (2007) examined the website quality of four representative Internet bookstores in Korea. Other researchers extended this instrument and investigated the impact on e-loyalty (Weber, Murphy, Schegg, & Murphy, 2005). The findings showed that good website quality, which includes user interface, online resources, customer 34 confidence, relationship service and perceived value, can deliver satisfaction and create or sustain loyalty. Table 4 presents the summary of WebQual 4.0. Table 4. Summary of WebQual 4.0 Measures (Source) WebQual 4.0 Barnes and Vidgen (2003) Dimensions Usability Users’ ability to use and interaction with a website Information An accurate and efficient information presentation Service interactive An convenient and efficient communication between customers and e-retailers 35 Development Applications Sample collection Target population of online bookstore customers constitutes of samples. Instrumentation and procedures Three sites were evaluated though online survey: Amazon, BOL and Internet Bookshop. 376 usable Respondents evaluate each of the sites using a 7-point scale. Using independent samples for the evaluation of each Website to remove any bias from the process of multiple evaluations. Park and Bark (2007); Weber et al.(2008) End-User Computing Satisfaction (EUCS) model The End-User Computing Satisfaction (EUCS) model was used as a framework for this study. The model introduces the factors of website features that affect users’ satisfaction in the information system. The EUCS model has been validated and applied in the ecommerce context. The next section will describe the development of the model and how the model was applied in different studies. 1. Development of the EUCS Model The End-User Computing Satisfaction (EUCS) model was developed by Doll and Torkzadeh (1988) and was designed to measure the satisfaction of information system (IS) users. In the traditional IS environment, two types of IS users were identifiedprimary and secondary. The primary users have to rely on secondary users’ assistance in the performance of their jobs. Here, the primary user is the one who uses the software, and the secondary user is the one who installs the software. However, the primary users also play the secondary role and directly interact with their applications. That means software users install and run a program on a computer by themselves. While direct interaction with a computer application was an emerging phenomenon of the 1980’s (Benson, 1983), there was little study on the new IS environment. Thus, researchers started to explore the satisfaction of IS users who combined the two roles, and examined what factors would affect IS users’ satisfaction when they directly interacted with their computer applications. EUCS model contained four factors with 12 items measuring website features that affected users’ satisfaction using an information system (see table 5). One of the factors 36 is content, which refers to a precise and clear information presentation. A second factor, regarding an accurate system that functions properly, is named accuracy. The next factor is format, which means a system needs to be designed and organized in a useful and clear manner. Timeliness is the fourth factor which refers to up-to-date and timely information. Finally, the last factor, ease of use, is the user friendly website design. Table 5. Doll and Torkzaden’ s (1988) EUCS Instrument Content Accuracy Format Timeliness Ease of use Does the system provide the precise information you need? Does the system provide reports that seem to be just about exactly what you need? Does the system provide sufficient information? Does the information content meet your needs? Is the system accurate? Are you satisfied with the accuracy of the system? Is the information clear? Do you think the output is presented in a useful format? Does the system provide up-to-date information? Do you get the information you need in time? Is the system user friendly? Is the system easy to use? 2. Application of the EUCS Model Doll and Torkzadeh’s (1988) EUCS model has been adopted and applied to the online shopping context in recent years. Researchers tried to replicate the study by testing the model to examine the factors which affect consumers’ satisfaction with online shopping. The measures in the EUCS model were modified based on different context. The views of application of the EUCS model are explained in this section, and the summary of each study is shown in the Table 6. 37 Liu and Guo (2008) applied the EUCS model to the online shopping context in order to examine how customers view an online shopping website and what factors would affect their satisfaction with online shopping. Four hundred and twenty-two undergraduate and graduate students in Taiwan participated in this survey. Liu and Guo (2008) believed that Doll and Torkzadeh’s (1988) instrument could be applied to electronic commerce. The results suggested that all of Doll and Torkzadeh’s (1988) five factors contributed to customers’ satisfaction with an online shopping website. Each factor here has a specific meaning towards online shopping context. First, a shopping website should provide a complete, correct, and relevant product and service content. Second, on the online shopping website, web users need a correct technical function of the website system, which represents the factor of accuracy. For example, the website should not have broken links and missing pages. Also, it should be strong enough to withstand peak traffic. Third, a good online shopping website needs to have a clear and logical format. Fourth, ease of use will be perceived as how useful the shopping website is. Finally, timeliness means that an online shopping website needs to provide a fast response time (e.g., downloading) and up-to-date information. This study also suggested that the ECUS model can be applied to a specific online business, such as the C2C online auction environment. Rauniar, Rawski and Simms (2009) developed a framework for measuring C2C online auction website performance. The purpose of this study was to identify the factors which would influence C2C auction buyers’ satisfaction. In this study, a structure interview and pretest were conducted in order to generate measure items. Finally, 42 question items under seven factors were measured by 430 college students. The 38 participants were asked to evaluate the C2C auction website – eBay. The authors employed Doll and Torkzadeh’s (1988) five factors and also added new factors by referring the other researchers’ work because a shopping auction website has unique operational and functional characteristics as well as buyer’s behaviors during the bidding process. Thus, it would not be appropriate to limit the measures of C2C online auction website performance based on the EUCS model (Rauniar et al., 2009). For this reason, they adopted four factors from Doll and Torkzadeh’s (1988), which were content, format, ease of use, timeliness in the original EUCS model. Another factor, accuracy, was eliminated in their study. While accuracy measured accuracy of system quality, the other four factors were more related to information quality. The definitions of these four factors in the online context were consistent with the original definitions in the EUCS model. For example, a website also needs to contain relevant and complete information content. Format reflects a clear information presentation and well designed layout of the auction site for the buyers. Ease of use is defined as how easy a shopping auction website is to use and how effective it is for bidders to accomplish bidding and winning activities. Timeliness is the extent to which the auction-related information keeps customers updated with the bidders. Additionally, the study included three more factors: security, transaction, and product variety. Security measures the website's ability to protect buyer's personal information and protect them from fraudulent sellers. Transaction refers to the post-bidding activities facilitated by the website to transfer the merchandise from the seller to the auction buyer and payment from buyer to the seller. Finally, product variety refers to the different product categories, different brands within each product category and different auction listings of the same product by different sellers on the website. 39 After factor analysis, the results indicated that the factors of format and ease of use were merged into a single factor, which was then named “user friendliness”. The author explained that factors format and ease of use are highly interconnected because the buyers do not realize the difference between the two theoretically separate factors. Finally, the results indicated that buyer's satisfaction towards an online auction C2C website is positively influenced by website's content, user friendliness, timelines, security, transaction, and product variety. Based on the EUCS model, Cheung and Lee (2005) also proposed a framework to explore what factors would affect consumer satisfaction with internet shopping. The framework considered information quality, system quality, and service quality as the key dimensions of consumer satisfaction. Four of Doll and Torkzadeh's (1988) five factors content, accuracy, format, and timeliness - were under the category of information quality. Here, the definitions of content, format, and timeliness were consistent with the definitions in the original EUCS model. While accuracy was defined to measure system quality in the original mode, this study modified the definition of accuracy and referred to the reliability of website content. Ease of use was categorized under system quality because the author considered this factor was more related to system quality. Then, the authors added three more factors as system quality. They were navigation, response time, and security. Here, navigation deals with the sequencing of pages, the organization of layout, and consistency of navigation tools. Response time refers to the speed of access and information downloading, and the availability of the websites at all times. Lastly, security refers to the website's ability to protect consumer personal information collected from its electronic transaction through unauthorized use or disclosure. In addition to 40 information quality and system quality, the author proposed that service quality might influence customer satisfaction with Internet shopping. The authors referred to Parasuraman, Zeithamal and Berry’s (1991) SERVQAUL which measured the customer's expectation and perception of service. Five factors were included in the service quality: tangibles, reliability, responsiveness, assurance, and empathy. In the online context, tangible service benefit can be described as an appealing interface, or the clarity of the purchase procedures. Reliability refers to the promised service in a reliable and dependable manner. For example, the website provides the service on time. However, this study suggested that tangible and reliability overlap with some of the dimensions of information quality and system quality. Therefore, the other three factors of SERVQUAL were considered to affect customers' satisfaction. Responsiveness can be described as when the website provides prompt service and helpful guidance when problems occur. Assurance is the ability of the online stores to convey trust and confidence to their customers. For example, the website provides detailed company background and mission statement. Empathy focuses on the care and individual attention to customers through customized contents, personal greetings and individualized email. Therefore, the framework in this study explicitly considers information quality, system quality and service quality as key drivers of consumers' satisfaction with Internet shopping. Also, this study is one of the very first studies that incorporates direct variables from the literature of EUCS satisfaction and SERVQUAL which helps our understanding of customers' satisfaction in the online context. However, there is no quantitative data to empirically test the research model proposed in this study. Therefore, further study is 41 needed to examine and validate the research model and find the dimensions and antecedence of consumers' satisfaction with online shopping. The EUCS model was also validated in other contexts. For example, McKaney, Yoon and Zahedi (2002) tested Doll and Torkzadeh's (1988) and explored whether the EUCS model can be commonly used as a surrogate measure for success of business software in a Taiwanese setting. Another study was conducted by Pikkarainen, Pikkarainen, Karjaluoto and Pahnila (2006) who validated the EUCS model in an online banking context in Finland. Overall, the EUCS model has been considered a validated model for applying in different online contexts and cultures. The following part introduces the current research framework which was developed by adopting the EUCS model in the Chinese online context. 42 Table 6. Application of the EUCS Model. Authors and context Liu and Guo (2008) Online shopping website in Taiwan Rauniar et al. (2009) C2C online auction website in the U.S. Factors - - Content complete, correct, and relevant product and service information Accuracy a correct technical function of website system Format a clear and logical format Ease of use how useful the shopping website is Timeliness fast response time and up-to-date information Content relevance and completeness information Format a clear information presentation and well designed layout Ease of use how easy a shopping auction website is to use and how effective for bidders to accomplish bidding and winning activities Timeliness Up-to-date information Security * protect buyer’s personal information and from fraudulent sellers Transaction * the post-bidding activities facilitated by the website to transfer the merchandise from the seller to the auction buyer and payment from buyer to the seller Product variety * the different product categories, difference brands within each product category and different auction listing of the same product by different sellers on the website Note: * additional factors 43 Factors Authors and context Cheung and Lee (2005) Information quality - Online shopping System quality - - - Service quality - Note: * additional factors 44 Content relevance and completeness of website information Accuracy the reliability of website content Format how the information presented in the website Timeliness Updated information Ease of use how easy the online shopping system is to use and how effective they are in helping customers to accomplish their tasks Navigation * the sequencing of pages, the organization of layout, and consistency of navigation tools Response time * the speed of access and information downloading, and the availability of the websites at all times Security * the website’s ability to protect consumer personal information collected from its electronic transaction through unauthorized use or disclosure Responsiveness Providing prompt service, helpful guidance when problems occur, and accurate information about the products or service Assurance knowledge and courtesy of service providers and their ability to provide trust and confidence Empathy Creating a personalized service through customized contents, personal greetings and individualized email Model Development and Hypotheses 1.Model Development A research model was developed based on the EUCS model, incorporating the concepts from the website quality literature (Figure 5). The basic frame of the ECUS model is the five website features that influence a system user’s satisfaction. Retaining the original frame, the current research model provides additional constructs. First, the EUCS model included five website features, but this research model proposed ten features under three sub-dimensions. Barnes and Vidgen’s (2003) website features can be categorized into three conceptual groups, usability, information and service interaction. Usability deals with the qualities related to the functional use of a website and the website design such as ease of navigation and website appearance. Information focuses on the quality of the information of the website such as accuracy, reliability and up-to-date content. Service interaction concerns how a user experiences the service provided by a website. According to the concept, the website features from the EUCS model were categorized into usability (ease of use and format) and information (content and timeliness), which affect satisfaction. While the original EUCS also included another website feature, accuracy, to measure accuracy of the website system, other researchers (Liu & Guo, 2008; McKaney et al., 2002) used the term to indicate the accuracy of the information. With the development of information technology, the problem of system accuracy concerns less users, especially in online shopping. Thus, this study excluded system accuracy and measured information accuracy as a part of information content. In this study model, the EUCS model was extended to measure the 45 service interaction as a sub-dimension. From the literature (Elliott & Speck, 2005; Liu et al., 2008; Rauniar et al., 2009), six aspects of service interaction were identified: merchandise, payment, entertainment, security, delivery, and communication. We assumed that these website features are important in order for Chinese consumers to build satisfaction towards online shopping, which in turn affects loyalty. 46 Website Features EUCS MODEL Ease of use (H1a) H1 Usability Format (H1b) H4 Satisfaction Content (H2a) Information H2 Timeliness (H2b) Merchandise (H3a) Security (H3b) Service Interaction Entertainment (H3C) Payment (H3d) Delivery (H3e) Communicati on (H3f) Extended Factors Figure 5. Research Model 47 Loyalty 2. Hypotheses 2-1. Website features and e-satisfaction This study proposed factors of usability (ease of use and format) and information (content and timeliness) may directly influence Chinese consumers’ satisfaction with online shopping. Ease of use is defined as the extent to which the website is “user-friendly” and the extent to which it helps consumers accomplish their tasks (Cheung & Lee, 2005). Recent studies have yielded increasing evidence in support of the positive influence of ease of use on overall user satisfaction in the Internet shopping context (Jones & Leonard, 2007; Rauniar et al., 2009; Yoon & Donthu, 2001). Customers are satisfied with a shopping website that is easy to access, use, and navigate because consumers want to find information quickly and with little effort (Lu, Wang, Yu, & Wu, 2009; Nah & Davis, 2002). Most online shopping stores provide a product search engine, site map, and a navigation sequence guiding function to help customers find their way quickly (Park & Kim, 2003). Format refers to the way the information is presented on the website (Cheung & Lee, 2005). A well-formatted website is attractive, which can develop higher positive feelings in delivering information, which in turn enhances customers’ satisfaction (Cheung & Lee, 2005; Rauniar et al., 2009). For example, customers may experience visual pleasure if information presented in a stimulating and appealing way with the use of multimedia, such as flashy graphics, pop-up windows, or an online tutorial (Bauer, Falk, & Mammerschmidt, 2006; Palmer & Griffith, 1998). Based on the previous literature reviews, the first set of hypotheses present as the following. H1a. Ease of use influences satisfaction among Chinese online consumers. 48 H1b. Format influences satisfaction among Chinese online consumers. Content refers to the relevance and completeness of information on the website (Cheung & Lee, 2005). Previous studies showed that the availability of concise, detailed product-relevant information will lead to higher levels of customers’ e-satisfaction (Liu et al., 2008; Peterson, Sridhar, & Bart, 1997; Rauniar et al., 2009). Customers rely on the product information displayed on the website to make a purchase decision. In order to satisfy consumers’ needs, the website must be designed to display detailed product information such as size, color, price, availability, delivery time and transaction terms. (Madu & Madu, 2002; Katerattanakul, 2002; Nah & Davis, 2002). Timeliness refers to the up-to-date information provided on a website (Cheung & Lee, 2005). Previous studies found that timeliness is considered an important contributor for building customers’ satisfaction with online shopping (Liu & Guo, 2008; Rauniar et al., 2009). Providing upto-date information about products, services, news and promotions could generate customers’ positive attitudes, which lead to their satisfaction towards an e-retailer (Elliott & Speck, 2005). Madu and Madu (2002) explained that if the information is not updated frequently, the website will not deliver the expected performance, and therefore it will provide no added value to customers. Thus, we posited that hypotheses 2 as below. H2a. Content influences satisfaction among Chinese online consumers. H2b. Timeliness influences satisfaction among Chinese online consumers. Merchandising is defined here as a wide assortment and uniqueness of products as well as a reasonable price. A positive relationship between merchandise attribute and satisfaction was found in Szymanski and Hise’s (2000). When consumers desire products that cannot be easily found or are not widely distributed, providing abundant choices to 49 customers will increase the probability that the customers’ needs will be satisfied (Liu et al., 2008; Szymanski & Hise, 2000). Lu (2005) indicated that Chinese people are very sensitive to price of product and are accustomed to comparing prices; offering competitive product prices would therefore lead to Chinese customers’ satisfaction with online shopping. Therefore, we hypothesized that: H3a. Merchandise influences satisfaction among Chinese online consumers. Payment refers to the method of a website processing money transactions through the Internet and offering clear transaction procedures (Liu et al., 2008). A wellperforming and user-friendly payment system could meet users’ needs and influence their satisfaction towards online shopping (Abrazhevich, 2004). Xue, Harker and Heim (2000) suggested that customers feel more comfortable when they have more choices of payment because multiple methods of payment (e.g., credit card; payment card; check) give customers more flexibility to choose their preferred way to pay online. Also, clear payment instructions would lower users’ concerns about fraudulent transactions, which would result in an increase in their satisfaction towards the payment system (Abrazhevich, 2004). Thus, next hypothesis was: H3b. Payment influences satisfaction among Chinese online consumers. Entertainment refers to all website elements that promote enjoyment for the users (Wolfinbarger & Gilly, 2003). An exciting, imaginative and interesting shopping website will attract customers and evoke positive feelings, which in turn enhances satisfaction (Gommans, Krishnan, & Scheffold, 2001). More and more customers are seeking to have an enjoyable online shopping experience rather than simply completing a shopping task (Childersa, Carrb, Peckc, & Carsond, 2001). Elements of entertainment with high- 50 resolution graphics, colorful and humorous product commentary, or devices such as games, puzzles, and virtual videos can increase customer enjoyment (Coyle & Thorson, 2001). On shopping website, Chinese people perform a variety of entertainment activities besides shopping. For example, they like browsing entertainment news or fashion trends, playing online games and listening to the music. Thus, we proposed that: H3c. Entertainment influences satisfaction among Chinese online consumers. Security refers to the website’s ability to protect consumers’ personal information from unauthorized use (Cheung & Lee, 2005). Since online payment security, reliability, and the privacy policy of a website have been recorded as a big concern of Internet shoppers, e-retailers have been trying to find ways to ensure that online transactions are safe (Yen & Lu, 2008). Rauniar et al. (2009) suggested that a security mechanism (a secure payment system) will help customers gain confidence and then will enhance their satisfaction with online shopping. Thus, we hypothesized that: H3d. Security influences satisfaction among Chinese online consumers. Delivery refers to diverse distribution methods which meet customers’ needs and which accurately deliver a product within the promised time frame (Wolfinbarger & Gilly, 2003). A thoughtful delivery system that guarantees a fast delivery speed and diverse delivery methods contributes to customer satisfaction (Gommans et al., 2001). On the other hand, a delayed delivery is one of the major reasons for consumers’ dissatisfaction (Liu et al., 2008). It is reported that 25% of Chinese customers were not satisfied because of delayed delivery or wrong product delivery (CNNIC, 2006). In China, the variety of delivery methods provided by the shopping website satisfy Chinese consumers’ different needs, including national carriers such as China Post or small and 51 specialized local delivery systems with lower cost of delivery expense. Therefore, we stated our hypothesis that: H3e. Delivery influences satisfaction among Chinese online consumers. Communication refers to the availability and effectiveness of customer support tools on the website. These tools facilitate two-way communication between customers and sellers or e-retailers (Srinivsan et al., 2002). Compared with efficient communication tools, customers do not want to wait one or two days for answers via email (Srinivsan et al., 2002). Through direct communication, customers will get more detailed product information from sellers and be able to choose the exact products desired. Also, increased levels of communication will make consumers trust sellers or e-retailers more. All of which will enhance customers’ e-satisfaction (Alba et al., 1997). Thus, we posited that: H3f. Communication influences satisfaction among Chinese online consumers. 2-2.E-satisfaction and E-loyalty Satisfaction has been defined as a cumulative and attitude-like judgment that is based on customers’ past experiences (Gummeris et al., 2004). Consumer satisfaction is believed to mediate consumer learning from prior experiences and purchase intention. In addition, customer satisfaction could explain a key post-purchase behavior such as repurchase intention (Luarn & Lin, 2003). Customers’ affective responses towards online experiences, such as enjoyment, excitement, and pleasure, are important to overall customer satisfaction. Positive moods also could increase loyalty (Dick & Basu, 1994). 52 Therefore, in order to build customer loyalty, it is important for e-retailers to develop a website that gives consumers satisfaction and good feelings (Luarn & Lin, 2003). The positive relationship between e-satisfaction and e-loyalty was supported in the earlier empirical studies (Anderson & Mittal, 2000; Kim, 2005; Ribbink et al., 2004). Culture may be the reason behind this fact. Particularly, the stronger link between satisfaction and loyalty was found to be positive in collectivism cultures (Jin et al., 2008). Chinese shoppers appear to be more likely than individualist users to adhere to an eretailer once they are satisfied with the online experiences. Therefore, we expect that greater customer satisfaction towards a website will lead to a greater degree of loyalty among Chinese consumers. H4. Chinese online consumers’ satisfaction with websites influences loyalty. 2-3.Comparisons of Taobao and EachNet Previous studies indicated Chinese people were more satisfied with Taobao than EachNet (Li et al., 2007; Ou & Davison, 2009). According to Liu (2006), half of EachNet’s users migrated to Taobao since 2005. Taobao satisfies the most important needs of customers and delivers an emotional experience for each customer, which drives their satisfaction (Lee, 2007). Also, more and more Chinese consumers switched to Taobao, showing their loyalty was towards to Taobao rather than EachNet. A survey with several open-ended questions was conducted to explore the Chinese consumers’ perception of both Taobao and EachNet by asking their entire experiences with these two websites (Lee, 2007). The results found that respondents had higher overall positive feelings toward Taobao than EachNet. Convenience, product variety, safety and trust 53 were considered the most “loved” factors on Taobao, while product quality, website design, service, product variety, and safety were the most “hated” factors on EachNet. While previous comparisons of Taobao and EachNet mainly focused on a qualitative approach (e.g. interview), a quantitative study is needed to investigate the perception of these two websites among Chinese consumers. Therefore, we posited that Chinese consumer perceived Taobao as better than EachNet in term of website features, satisfaction and loyalty. H5a. Chinese consumers perceive Taobao more positively than EachNet for the ease of use. H5b. Chinese consumers perceive Taobao more positively than EachNet for the format. H6a. Chinese consumers perceive Taobao more positively than EachNet for the content. H6b. Chinese consumers perceive Taobao more positively than EachNet for the timeliness. H7a. Chinese consumers perceive Taobao more positively than EachNet for the merchandise. H7b. Chinese consumers perceive Taobao more positively than EachNet for the payment. H7c. Chinese consumers perceive Taobao more positively than EachNet for the entertainment. H7d. Chinese consumers perceive Taobao more positively than EachNet for the security. 54 H7e. Chinese consumers perceive Taobao more positively than EachNet for the delivery. H7f. Chinese consumers perceive Taobao more positively than EachNet for the communication. H8. Chinese consumers are more satisfied with Taobao than EachNet. H9. Chinese consumers are more loyal to Taobao than EachNet. 55 CHAPTER III METHODOLOGY This chapter introduces the methods of the empirical study. The first part explains the procedure and the results of the focus group interview. The second part discusses the procedure of the pre-test, including samples, data collection, and data analysis. The third part presents the measurements development for the main survey, data and samples as well as data analysis. Focus Group Interviews Since the existing literature was not yet rich enough to provide a sound conceptual foundation of Chinese people’s perception of online shopping, exploring research such as a focus group interview was required. Santo (2003) suggested that the focus group interview is a helpful approach in exploratory research for generating new ideas. In this study, the goals of the focus group interview were: 1) to confirm the factors of website features from the previous literature; 2) to identify the new factors of website features in the perception of Chinese consumers; 3) to develop questionnaire items for a survey. Eighteen Chinese college students, divided into three groups, participated in our focus group interviews. Each group had six people. Two groups of interviews were conducted in Beijing in China. Two Chinese graduate students were trained as interviewers 56 to conduct the focus group interviews in China. Another interview was performed by a researcher with Chinese college students in the U.S. for both in China and in the U.S. The interviewers explained the purpose of the study, and then they asked the students about the specific e-retailers they prefer and their important website features for online shopping. Each interview lasted for approximately 20 – 30 minutes, and the whole process was recorded by the interviewers and the records were collected by a researcher. A qualitative analysis was conducted referring to the analysis process of a focus group interview from Rabiee’s (2004) study. Every sentence of the records was written down in Chinese on a blank sheet of paper. Next, two graduate students separately analyzed the transcripts to make groups of the sentences based on the meanings. After the initial categorization, the two graduates compared their identification and discussed any contradictions and then finalized categories of the transcripts which have common elements (Table 9). According to the results, Taobao and EachNet were the mentioned e-retailers among respondents. Based on their experiences on their websites, we identified several categories of website features (Table 7). One of the categories was website design, including the components of interface design, navigation and user friendliness. This category was similar to the factors of ease of use and format (usability) from the EUCS model. Next, the category of information concerned the issues of information content and up-to-date information. This was consistent with the content and timelines from the EUCS mode. We also identified six categories of service interaction, including merchandise, payment, entertainment, security, delivery and communication. These included the uniqueness of Chinese website features. First, some people mentioned that 57 online shopping is very cheap because Chinese shopping websites such as Taobao and EachNet allow buyers to negotiate the merchandise price with sellers. These comments were categorized into merchandise. Payment category was about the perception of a safe Table 7. Focus Group Interview Results. Statement Examples Website design Information Merchandise Payment Entertainment Security Delivery Communication “It is not easy to navigate on Taobao because there is much information on it.” “Taobao has too many pictures and information; I think EachNet is much better.” “An online shopping website should have up-to-date product information, otherwise, I don’t want to purchase on this website.” “Taobao has sufficient information that satisfies my needs.” “Taobao sells everything; we can find everything.” “On EachNet, I can buy a foreign product.” “Price is important to me; the reason I shop online is to find some cheap but decent-quality products.” “Taobao’s payment system is convenient to use; I can use many ways to pay online.” “ Alipay is trustworthy, I never worry about that my money will be lost.” “I like the games designed by Taobao, they are so fun.” “Sometimes, I don’t buy products, but I am interested in browsing the fashion trends on Taobao.” “I think it is safe to shop on Taobao.” “Everybody can evaluate sellers; the evaluation will influence the sellers’ credit scores that are posted on their web pages.” “If a seller sells products that are fake or are not the ones they describe on the website page, we will report it to Taobao. Taobao has strict punishments for sellers who are fraudulent.” “Taobao provides many delivery options that I can choose.” “Delivery speed is important to me.” “It is easy to discuss details about products through Wangwang on Taobao.” “I will share my purchase experience with the other buyers in the community.” 58 and convenient payment system. Regarding entertainment, interviewees said they enjoyed many entertainment activities on the website besides shopping, such as playing games, listening to music, and browsing news. Delivery was related to the perception of a fast delivery service and diverse delivery options. Communication included interaction between sellers and buyers through instant message or community. People commented that through communicating with sellers, they can get detailed product information, negotiate price and experience the warm relationships. Based on the focus group interviews, we confirmed that the dimensions of usability (ease of use and format) and information (content and timeliness) exist in the perception of online shopping websites among the Chinese. Six factors of service interaction were also identified: merchandise, payment, entertainment, security, delivery and communication. In addition, several comments for the focus group interviews were adopted to develop question items in the survey. Pre-test Based on the results of focus group interviews and the previous literature, the measurements were developed (Table 8). The identified factors from the focus group interviews were examined by a pre-test. The measurements were developed in English and then translated in Chinese (Mandarin) and the online version of the questionnaire was set up on the survey website (www.surveymonkey.com). Through emails, this website was introduced to female college students in Beijing in China. The survey collected 135 responses for Taobao and 38 for EachNet. We finally identified 143 valid responses, among which 127 were for Taobao and 16 for EachNet. 59 The pre-test analysis was assessed by the exploratory factor analysis using SPSS 17.0. In this procedure, the factors of merchandise (4 items) and communication (3 items) were deleted because we found that the items within these two factors interfered with other factors, and therefore they are not forming individual factors as we expected. Then, among the remaining 13 items, we inspected the variables and the items, and then deleted two items (“I feel cheerful when I use this site” and “This site provides a variety of delivery methods”) due to the conceptual inconsistency. Finally, the remaining 11 items were clustered into four factors of service interaction: payment, entertainment, security, and delivery (Table 9). 60 Table 8. Measurements of the Pre-test Dimensions Usability Measurement of Website Features Ease of use 1. This site has accessible information that is easy to find. 2. This site is user friendly. 3. This site is easy to navigate. 4. This site is convenient to use. Format 5. The site is aesthetically pleasing to the eye. 6. This site is well organized. 7. The sequence of this main screen is clear. 8. The site’s format is easy to read. Information Content 1. This site’s information content fits my needs 2. This site provides me with precise information. 3. This site provides sufficient information. Timeliness 4. This site provides up-to-date information. 5. I get information in a quick period of time. 6. This site frequently updates information. Service Merchandise Interaction 1. This site has a good product selection.* 2. The product range of this site is comprehensive.* 3. The products sold on this site are difficult to find elsewhere.* 4. The general pricing of the products is reasonable.* Payment 5. This site provides clear payment instructions. 6. This site provides a variety of payment method options (e.g. post office remittance, online payment, and cash on delivery). 7. Payment on this site is easy and convenient. Entertainment 8. I can experience a variety of enjoyable activities on this site. 9. This site is designed in an entertaining manner. 10. I feel cheerful when I use this site.* Security 11. This site verifies the authenticity of the sellers. 12. This site has reasonable credit evaluation mechanism. 13. I can evaluate sellers with a feedback system on this site. Delivery 14. The product from this site is delivered by the time promised by the sellers. 15. I get what I ordered from this site without error. 16. The product that came was represented accurately by the site. 17. This site provides a variety of delivery methods (e.g. post, express delivery, home delivery).* Communication 18. This site makes it easy to communicate with the sellers or Taobao.* 19. I can interact with the sellers in order to receive information tailored to my specific needs.* 20. Customer share experiences about the site/product online with other customers of this site.* Note: * the items deleted from pre-test factor analysis 61 Sources Rauniar et al. (2009) Rauniar et al. (2009) Rauniar et al. (2009) Liu et al. (2008); Donthu (2001) Rauniar et al. (2009); Liu et al. (2008) Elliott and Speck (2005); Researcher Rauniar et al. (2009); Researcher Liu et al. (2008); Researcher Liu et al. (2008); Researcher Table 9. Factor Analysis for the Pre-test Dimensions Cumulative % Usability 36.40 68.20 Information 36.10 65.49 Service Interaction 21.87 42.01 57.94 73.66 Factors and Items Factor 1: format The sequence of this main screen is clear. The site’s format is easy to read. This site is well organized. The site is aesthetically pleasing to the eye. Factor 2: ease of use This site is user friendly. This site is convenient to use. This site is easy to navigate. This site has accessible information that is easy to find. Factor 1: content This site provides me with precise information. This site’s information content fits my needs. This site provides sufficient information. Factor 2: timeliness This site frequently updates information. I get information in a quick period of time. This site provides up-to-date information. Factor 1: payment This site provides a variety of payment method options (e.g. post office remittance, online payment, and cash on delivery). This site provides clear payment instructions. Payment on this site is easy and convenient. Factor 2: entertainment I can experience a variety of enjoyable activities on this site. This site is designed in an entertaining manner. Factor 3: security This site verifies the authenticity of the sellers. This site has reasonable credit evaluation mechanism. I can evaluate sellers with a feedback system on this site. Factor 4: delivery I get what I ordered from this site without error. The product that came was represented accurately by this site. The product from this site is delivered by the time promised by the sellers. 62 Factor Loadings Reliability 0.88 0.87 0.79 0.77 0.72 0.88 0.88 0.85 0.79 0.58 0.71 0.88 0.67 0.65 0.76 0.83 0.80 0.77 0.83 0.90 0.84 0.77 0.92 0.76 0.83 0. 84 0.83 0.66 0.52 0.69 0.86 0.77 0.75 Measurement Development for the Main Survey In order to compare Taobao and EachNet in terms of website features, e-satisfaction, and e-loyalty, the main survey was developed into two versions; one was for Taobao while the other one was for EachNet. The survey consisted of four sections. In first section, respondents were asked to describe their overall experiences on the website (Taobao or EachNet). First, respondents were requested to answer whether they had the experiences on Taobao or on EachNet. Then, if they answered “Yes”, they moved on to the following questions. The four questions asked the following: 1) How often do you visit this website per month on average? 2) How many hours per visit do you spend browsing or purchasing on this website on average? 3) What is the best estimate of the dollar amount spent on products purchased in 2009 via this website? In the second part of the survey, respondents were asked to rate either of Taobao or EachNet on the various aspects of website features. The measurements of website features were the ones refined by a pre-test (refer to Table 8 and Table 9). Ultimately, eight factors with 25 items were measured. All factors were measured by multiple items and by a 5-point Likert scale ranging from “strongly disagree” to “strongly agree”. The fourteen items for measuring usability and information were adapted from the items initially developed by Cheung and Lee (2005), Doll and Torkzadeh (1988) and Rauniar et al. (2009). Service interaction contained four factors with 11 items. Payment was evaluated from two aspects: convenience and variety of payment methods. The three items were taken from Rauniar et al. (2009) and Liu et al. (2008). Entertainment was evaluated based on the enjoyment and fun of shopping. Two items were taken from Elliott and Speck (2005) and the researcher. Security was measured by transaction 63 security, private protection, and evaluation and feedback system, consisting of three items taken from Rauniar et al. (2009) and the researcher. Finally, delivery was evaluated by assurance of delivery. The three items were borrowed from Liu et al. (2008) and from the researcher. The third part is about the respondents’ level of e-satisfaction and e-loyalty towards the websites evaluated. The measures of e-satisfaction were adopted from the studies of Luarn and Lin (2003). The respondents rated their agreement or disagreement with the following statements: 1) I am satisfied with the experience on this e-retailer, 2) This website meets my expectation, and 3) I am overall satisfied with these online retailers. The concept of e-loyalty was measured adopting scales used by Anderson and Srinivasan (2003). The respondents rated their agreement or disagreement with the following statements: 1) When I need to make a purchase, this website is my first choice, 2) I believe this is my favorite website to buy the same kind of product, 3) I try to purchase at this online retailer whenever I need to make a purchase, and 4) As long as the present service continues, I doubt that I would switch to another website. All measurements were developed by using on a 5-point Likert-type scale. The final section solicited demographic information such as age, location, education level, income and allowance. Data Collection We chose college students as our sample because they are the major group for online shopping in China. To include respondents from big and small cities, we selected students from three universities in Beijing in YanTai. Beijing was chosen because most 64 Chinese Internet shoppers come from metropolitan cities (“China’s online shopping in 2008”, 2008). YanTai, as a typical small-coast city, represented the place where the online shopping is just getting popularity. Thus, this survey sample concerned diverse geographic backgrounds. The main survey was dispatched through the online survey to approximately 300 students for each school, 900 in total (refer to Table 10). Two versions of online surveys, one for Taobao and one for EachNet, were designed in Chinese, and the link for each online survey was emailed to 150 students for each school. After taking out surveys because of incompleteness and in-sincerity of the answers, 688 usable data were obtained and used for data analysis. 386 usable data were obtained for Taobao and 302 for EachNet. Table 13 presents the demographic characteristics of the sample and Table 14 presents Chinese consumers’’ previous experience of Taobao and EachNet. Table 10. Distribution of Survey Location Beijing YanTai School A School B School C Taobo 150 150 150 EachNet 150 150 150 300 300 300 Total 900 Characteristics of Sample 65 About 70% of survey respondents were between the ages of 21 and 25. Approximately 78% of the samples were located in Beijing. We obtained 21% of respondents from the city of YanTai. Students in this area are originally from small cities or rural areas where online shopping has not developed very well. About 55% of students have an average allowance per month under 600 RMB (85 U.S. dollars). The sample’s monthly allowance is slightly higher than the national average, 500 RMB (60 U.S. dollars) (“China’s internet users”, 2009). Approximately 40% of the Taobao respondents answered that they visit Taobao less than one time a month, and 36% of respondents visit between one and five times. For the EachNet respondents, 69% of them visit less than one time per month, and 23% of the respondents visit between one and five times. About 87% of both groups’ respondents spend less two hours browsing or purchasing on Taobao and EachNet. About 72% of our respondents on Taobao spend less than RMB 500 purchasing products in 2009, compared with the 84% of our respondents on EachNet. Table 11 and 12 presents the demographic characteristics of the samples and previous experience of Taobao and EachNet. 66 Table 11. Demographic Characteristic of the Samples Characteristics Age City Education Income Per Month Allowance Items 18-20 21-25 26+ Beijing YanTai Others Freshman Sophomore Junior Senior Under RMB 1,000 RMB 1,000-RMB2,000 RMB 2,001-RMB3000 RMB 3,001-RMB4,000 RMB4 ,001-RMB5,000 RMB 5,001-RMB6,000 RMB 6,001-RMB10,000 Over 10,000 Under RMB 200 RMB 201-RMB 400 RMB 401-RMB 600 RMB 601-RMB 800 RMB 801-RMB 1,000 Over 1, 000 67 Frequency 162 489 11 542 147 missing 121 148 328 687 132 153 127 99 52 65 36 26 199 185 129 92 51 31 % 23.3 70.4 6.3 78.1 21.2 0.7 17.4 21.3 47.3 13.0 19 22 18.3 14.3 7.5 9.4 5.2 3.7 28.7 26.7 18.6 13.3 7.3 4.5 Table 12. Previous Experience of Taobao and EachNet How often do you visit this Website per month on average Taobao EachNet How many hours per visit do you spend browsing or purchasing on this Website on average? Taobao EachNet What is the best estimate of the dollar amount spent on products purchased in 2009 via this ? Taobao EachNet Less than 1 time 1 -5 times 6-10 times 11-20 times 21-30 times More than 30 times Less than 1 time 1 -5 times 6-10 times 11-20 times 21-30 times More than 30 times Less than an hour 1-2 hrs 3-4 hrs 5-6 hrs 7-8 hrs More than 8 hrs Less than an hour 1-2 hrs 3-4 hrs 5-6 hrs 7-8 hrs More than 8 hrs Under RMB 500 RMB 501-RMB 1000 RMB 1,001-RMB 1,500 RMB 1,501-RMB 3,000 RMB 3,001-RMB 5,000 RMB 5,001-RMB 8,000 More than RMB 8,001 Under RMB 500 RMB 501-RMB 1000 RMB 1,001-RMB 1,500 RMB 1,501-RMB 3,000 RMB 3,001-RMB 5,000 RMB 5,001-RMB 8,000 More than RMB 8,001 68 Frequency 160 146 38 29 13 13 206 65 10 12 5 2 187 163 34 7 4 5 216 50 21 11 2 1 288 63 19 9 6 12 3 254 31 12 0 1 2 1 % 39.8 36.3 9.5 7.2 3.2 3.2 68.5 21.5 3.3 4.0 1.7 0.7 46.5 40.5 8.5 1.7 1.0 1.2 71.5 16.6 7.0 3.6 0.7 0.3 71.6 15.7 4.7 2.2 1.5 3.0 0.7 84.1 10.3 4.0 0 0.3 0.7 0.3 Data Analysis First, an exploratory factor analysis (EFA) was conducted for the constructs of website features using measures identified from the pre-test. Reliability was calculated for each of the factors to assess each factor’s internal consistency. Then, the hypotheses (H1- H4) were examined by the regression analysis to test the relationships between website features, e-satisfaction, and e-loyalty. Finally, this study compared the Chinese people’s different perceptions towards two websites – Taobao and EachNet (H5-H9) – through a ttest. 69 CHAPTER IV FINDINGS Dimensions of Website Features Exploratory factor analysis was conducted on a set of 682 cases and was performed on the 25 items related to website features. Principal component analysis with a varimax rotation was performed to examine the underlying dimensions of the website feature dimensions, as given in Table 15. Three separate factor analyses were conducted to identify the factors in usability, information and service interaction. The results of the first factor analysis indicated that usability included two factors, ease of use and format, as we expected. The loadings for each item ranged in this dimension of usability from0.51 to 0.87. The cumulative percentages for ease of use and format accounted for 69.90%, and Cronbach’s alphas for these two factors were 0.84 and 0.77. The second factor analysis identified two factors of information. The pre-test results suggested that information is composed of content and timeliness. However, these two factors were not separate in the same way in the main survey results. That is, the first factor was about sufficient, precise, and timeliness information, and thus it was named sufficiency/accuracy/timeliness. The second factor only had one item-fit of the 70 information for individuals’ needs-which was named, content. Factors’ loadings range for the items in this dimension of information from 0.46 to 0.90. The cumulative percentages for sufficiency/accuracy/timeliness and content accounted for 58.08%, and Cronbach’s alphas for sufficiency/accuracy/timeliness were 0.57. According to the result of the third factor analysis, service interaction had four factors: payment, entertainment, verification, and delivery. Similar to the result from the pre-test, the three items of payment were grouped into a category. However, one item from security (evaluation of feedback system) was also loaded with the other items of payment. Therefore, this factor was named payment/security. The other two items from security loaded into one factor. Since these two items were about verifying sellers’ credibility and authenticity, the factor was named verification. The other two factors, entertainment and delivery, were identified as categorized in the pre-test. The factors’ loadings range for the items in this dimension of service interaction were from 0.46 to 0.86. The cumulative percentages for payment/security, entertainment, verification and delivery for 68.56%, and Cronbach alphas for each factor were 0.78, 0.71, 0.70, and 0.61 respectively. Overall, inspection of the loading of items on their respective constructs revealed a high degree of individual item reliability as all items have a loading of greater than 0.4 on their respective constructs (Hair, Anderson, Tatham, & Black, 1998). The Cronbach alphas’ scores for the identified factors ranged from 0.57 to 0.84, indicating high internal consistency within the factors. Table 13 presents the results of factor analysis for the main survey. 71 Table 13. Results of Factor Analysis for the Main Survey Dimensions Cumulative Factor and items % Usability Factor 1: ease of use 37.38 This site is user friendly This site has accessible information that is easy to find. This site is easy to navigate. This site is convenient to use. 69.90 Information 30.97 58.08 Service Interaction 23.61 42.78 57.40 68.56 Factor 2: format This site is well organized. The sequence of this main screen is clear. The site is aesthetically pleasing to the eye. This site’s format is easy to read. Factor 1: sufficient/accuracy/timeliness I get information in a quick period of time. This site provides sufficient information. This site provides up-to-date information. This site provides me with precise information. This site frequently updates information. Factor 2: content This site’s information content fits my needs. Factor 1: payment/security This site provides clear payment instructions. This site provides a variety of payment method options (e.g. post office remittance, online payment, and cash on delivery). Payment on this site is easy and convenient. I can evaluate sellers with a feedback system on this site. Factor 2: entertainment I can experience a variety of enjoyable activities on this site. This site is designed in an entertaining manner. Factor 3: verification This site has reasonable credit evaluation mechanism. This site verifies the authenticity of the sellers. Factor 4: delivery The product from this site is delivered by the time promised by the sellers. I get what I ordered from this site without error. The product that came was represented accurately by this site. 72 Factor loadings Reliability 0.84 0.87 0.86 0.75 0.57 0.77 0.80 0.78 0.76 0.51 0.57 0.77 0.76 0.74 0.62 0.46 0.90 0.78 0.82 0.78 0.63 0.46 0.71 0.86 0.79 0.70 0.80 0.74 0.61 0.83 0.66 0.61 The Relationship between Website Features, Satisfaction and Loyalty (H1-H4). To explore how the factors of website features affect satisfaction, we performed three separate regression analysis: first, for the factors of ease of use and format (usability); next for the factor of content and timeliness (information); finally, for the factors of payment (H3b), entertainment (H3c), security (H3d) and delivery (H3e) (service interaction). The β weights and other summary statistics from all three regression analyses are reported in Table 14. The first hypotheses (H1a and H1b) proposed the positive influence of ease of use (β =.31, p<.01) and format (β =.52, p<.01)on satisfaction. The second hypotheses (H2a and H2b) were also supported; sufficiency/accuracy/timeliness (β =.51, p<.01) and content (β =.12, p<.01) positively influenced satisfaction. The third hypotheses (H3a-f) posited service interaction factors have an influence on satisfaction. Table 14 shows the significant impact of payment/security (β =.41, p<.01); entertainment (β =.23, p<.01); verification (β =.27, p<.01); and delivery (β =.32, p<.01). According to the results, payment/security was found to have a stronger effect on satisfaction than factors in service interaction. Merchandise and communication were not identified as a website dimension in the quantitative analysis; thus, they were not tested. The hypothesis 4 was supported since satisfaction was had a positive relationship with loyalty (β =.61, p<.01) (Table 15) An additional regression was performed to compare the effect size of usability, information, and service interaction on consumers’ satisfaction (Table 16). The results found that all website features dimensions positively related to consumers’ satisfaction. 73 Service interaction has the strongest influence (β =.62, p<.01), followed by usability (β =.59, p<.01), and information (β =.48, p<.01). Table 14. Regression Results of Website Features Factors and Satisfaction Predictor variable Ease of use Format β SE T-value .52 .31 .03 .03 16.95** 10.11** sufficiency/accuracy /timeliness Content .51 .12 .03 .03 15.52** 4.25** Payment/security Entertainment Verification Delivery .41 .23 .27 .32 .03 .03 .03 .03 13.44** 7.66** 8.88** 10.47** F Adjusted R2 194.93** .37 129.23* .27 107.93** .39 Dependent variable: satisfaction * *Significant at p value <.01. β= Standardized coefficient. SE= Std. Error Table 15. Regression Results of Satisfaction and Loyalty Predictor variable Satisfaction β SE T-value .61 .03 20.23** F 175.51** Dependent variable: loyalty ** Significant at p value <.01. β= Standardized coefficient. SE= Std. Error Adjusted R2 .37 Table 16. Regression Results of Factors for Website Features Dimensions and Satisfaction Predictor variable β SE T-value F Usability .59 .05 18.97** Information .48 .05 14.23** Service interaction .62 .05 23.32** 409.32** Dependent variable: satisfaction * *Significant at p value <.01. β= Standardized coefficient. SE= Std. Error 74 Adjusted R2 .37 Comparisons of Taobao and EachNet (H5-H9) To examine the difference between Taobao and EachNet from the consumers’ perceptions, this study conducted multiple t-tests to compare website features, satisfaction and loyalty towards the two websites (H5-H9). The results indicated that the significant differences of the two websites are from the factor of ease of use (p < .001), sufficiency/accuracy/timeliness (p < .001) and payment/security (p < .001). Therefore, H5a, H6a and H7b were supported. The average mean values for all factors of ease of use, sufficiency/accuracy/timeliness and payment/security were rated higher for Taobao than for EachNet. Results also reported significant mean differences for website satisfaction and loyalty, indicating higher mean values for Taobao than those for EachNet, which supported H8 and H9 (p < .001). The other factors of website features, such as format, information, entertainment, security, and delivery, did not appear statistically significant. Table 19 presents mean values for website features, satisfaction, and loyalty for Taobao and EachNet. Table 19. Mean Values for Website Features, Satisfaction, and Loyalty (Taobao and EachNet) Factor Mean Comparison t-Value Tabao Vs. EachNet Usability Ease of use 3.37>3.09 1.90*** Format 3.38>3.29 5.18 Information Sufficiency/accur 3.35>3.31 2.62*** acy/timeliness Content 3.20>3.33 - .16 Service Interaction Payment/security Entertainment Verification Delivery Satisfaction Loyalty Note: *** p < .001 3.55>3.33 3.42>3.38 3.38<3.39 3.22>3.21 3.44>3.24 3.46>3.18 75 4.54*** .83 - .26 .05 3.83*** 4.98*** CHAPTER V DISCUSSION, IMPLICATION, AND LIMITATION The current study identified the Chinese perceptions of website features, under the dimensions of usability, information and service interaction, by employing qualitative and quantitative approaches. Based on the Doll and Torkzadeh (1988)’s EUCS model, a research model was developed to examine the relationship between the dimensions of website features, satisfaction, and loyalty among Chinese online consumers. In addition, in order to understand Taobao’s success and popularity, this study explored the Chinese perceptions of website features by comparing the two websites. This chapter presents the discussion of research findings, implications to academics and practices and limitation of this study. Discussions In terms of the categorization of website features using a quantitative approach, the results from the pre-test and main test were not exactly same, particularly for information and service interaction dimensions. For the dimension of information, content and timeliness were identified as two factors in the pre-test. Main survey results did not categorize information into the same way. Specifically, the main survey results separate sufficient, accurate, and timeliness information from the unique information content that fits to individual customers’ needs. In addition, for the dimension of service interaction, 76 the main test results identified that payment/security and verification instead of payment and security in the pre-test results. For Chinese consumers, payment options or payment convenience are perhaps related to online transaction security. The verification system was perceived as an individual category among Chinese online shoppers. Both the main and pre-test identified the factors of entertainment and delivery. Overall, the two test results slightly differed, but basically had similar characteristics. The main test results should be more reliable and less biased, considering the inclusion of the geographic regions and retailers. The main survey was from two different regions with a similar sample size for the two target websites, while the pre-test survey was conducted in one city (Beijing) with more samples of Taobao than EachNet. According to the regression results, most of the hypotheses (H1-H4) were supported. The factors of ease of use (H1a) and format (H1b) within in the dimensions of usability were found to have influenced on Chinese consumers’ satisfaction as predicted. These findings were consistent with Lu et al.’s (2009) who suggested that customers’ satisfaction was determined by the website functionality and interface design. Customers want to shop on a website that is easy to navigate instead of taking time to learn. Also, a stimulating and appealing website interface design will make customers feel that it is enjoyable (Bauer et al., 2006). The factors of sufficiency/accuracy/timeliness (H2a) and content (H2b) within the dimension of information were found to have influenced Chinese consumers’ satisfaction. These are consistent with other studies, which explained that customers want to find detailed and up-to-date product information on a shopping website (Madu & Madu, 2002; Rauniar et al., 2009). Regarding H3, payment/security, entertainment, verification and delivery in the dimensions of service interaction were 77 found to have positive relationships with satisfaction. Among these relationships, payment/security was found to be the most important factors that influence Chinese consumers’ satisfaction. A secure payment system may reduce customers’ concerns about online transaction fraud in a high-risk culture (Ou & Davision, 2009). Also, checking sellers’ credit is important for them to make a purchase decision because buyers want to know the reliability of sellers in order to develop sufficient confidence to engage in an online transaction. Besides, Chinese consumers perceived online entertainment activities (such as playing games; listening to music) designed by a shopping website would enhance their satisfaction of this website. Furthermore, a strict verification system provided by a shopping website may help customers build trust with sellers through verifying sellers’ credibility and authenticity. Building trust is important among Chinese consumers in the high-risk environment (Ou & Davison, 2009). In addition, Chinese consumers would be more satisfied with an e-retailer who provided quality delivery service (e.g., speed delivery). Overall, among the three dimensions of website features, service interaction was perceived as the most important one that affected Chinese consumers’ satisfaction. Finally, the results also supported that satisfaction has a positive relationship with e-loyalty among Chinese online consumers (H4). This finding was consistent with Luarn and Lin’s (2003) who suggested that satisfaction leads to loyalty in the online context, which was also supported in other studies (Anderson & Srinivasan, 2003; Oliver, 1999). The authors explained that if customers are satisfied with their past experiences with a specific e-retailer, they are more likely to stick to this e-retailer rather than move to another one. 78 We also compared Chinese perceptions of website features between Taobao and EachNet in order to find the reason for Taobao’s popularity. As we expected, Chinese consumers are more satisfied with and loyal to Taobao than EachNet (H8 and H9). Taobao has successfully developed its business strategy, spiraling from a small sized new entrant to a very large and dominant player in the Chinese online C2C market. A comparison of Taobao and EachNet suggested that a key determinant of success of Taobao is that the customers perceive Taobao as easier to use (H5a), having more precise, sufficient and up-to-date information (H6a), and having more reliable payment/security system (H7a). Taobao was evaluated with a higher score on its ease of use than EachNet. The reason might be that Taobao has more search engines which make it easy for customers to navigate (Ou & Davision, 2009). Also, Taobao’s clear product category may help customers find information and products easily (Liu, 2006). Customers are more satisfied with Taobao’s information content because there are more sellers on Taobao than EachNet, and thus the opportunity to find the right product information is increased. Besides, Taobao not only has product information, but also has other information such as cosmetics or fashion trends that may appeal to female consumers. Before EachNet created its own payment system, An Fu Tong, EachNet adopted eBay (U.S.)’s payment system, Paypal (Li & Liu, 2007). The function between EachNet’s Paypal and Taobao’s Alipay was different. Paypal only serves as the third party to transfer money between buyers and sellers after buyers pay, whereas Alipay keeps the money for buyers until buyers receive the products. It was reasonable that Chinese consumers are more satisfied with Alipay than Paypal because Alipay was perceived as a more secure method for an online transaction. Although EachNet created a similar 79 payment system, An Fu Tong, one year after Taobao’s Alipay, once customers were satisfied with using Taobao’s payment system, they did not want to switch from (Alipay) to another one (An Fu Tong). Moreover, customers feel that it is easy to pay on Taobao because Taobao comprehensively cooperates with all the leading banks in China, creating more payment options than EachNet (Li & Liu, 2007). For example, Taobao allows customers to pay using credit cards, whereas EachNet cannot. In addition, customers feel more confident in checking seller’s credit score in the evaluation system because Taobao allows buyers to evaluate a seller after a transaction is complete. However, on EachNet, buyers only can evaluate sellers before the transaction, which may lead to the problems of reputation abuse Implications This study identified unique website features in the perceptions of Chinese consumers in order to examine Chinese consumers’ satisfaction and loyalty. A comprehensive comparison of Taobao and EachNet was conducted to study different perceptions of the websites. The findings have important implications for both researchers and practitioners as below. 1.Academic Implications First, this study used both qualitative and quantitative approaches to find Chinese consumers’ perceptions of online shopping. Our quantitative method identified four factors of website features that affected Chinese consumers’ satisfaction and loyalty. They were payment/security, entertainment, verification and delivery. These results were 80 slightly different the findings from the focus group interviews, which suggested two more additional factors: merchandise and communication. Based on the focus group interviews, we identified the unique website features among Chinese consumers’ perception of online shopping. While the focus group interviews supported six factors, two factors of merchandise and communication were not identified from the quantitative research. The reasons might because each of these two factors contain multiple facets which were perceived as individual factors. For example, the facet of merchandise includes the aspects of uniqueness, variety, and price; Communication contains communication tool and community. Although the quantitative stud did not identify merchandise and communication, the focus group interview results presented that these two factors are important considerations for Chinese online consumers. One of the main reasons for their online shopping was to find unique merchandise (e.g., antiques; hand-crafted accessories) that may not be available in retail stores. Also, reasonable prices and good quality of the products also made online shopping appealing to Chinese consumers. Additionally, buyers’ directly communication with sellers is important. In that way, buyers get detailed information about products such as size, color and delivery and payment methods. Also, buyers expected a warm relationship with sellers by communicating with them. Lu, Zhao and Wang (2009) indicated that building friendships is important when doing business in the “relationship-oriented” Chinese culture. Ou and Davison (2009) explained that communicating between sellers and buyers is good for building mutual understanding and reduces uncertainty in relation to the extremely high risk of fraud in China. 81 Thus, these six factors suggest these important website features that Chinese considered as they were conducting an online shopping activity. While previous research focused on the western culture, this study concerned a different culture. Thus, this study provides a better understanding of the different online shopping behaviors between China and the western cultures. Second, while the original Doll and Torkzadeh’s (1988) EUCS model focused on a user’s satisfaction with a computer system, this study adopted the EUCS model to investigate Chinese consumers’ satisfaction with a shopping website. By extending the EUCS model, we identified additional factors that were not included in the original model. These factors (payment, entertainment, security and delivery) were related to service interaction that also played in a role in building satisfaction for Chinese consumers. In addition, this study suggested a positive relationship between the identified factors of website features and e-satisfaction, which, in turn, influenced e-loyalty. A further study may want to test our research model using different samples or e-retailers, since this study only focused on the female college students and two target e-retailers. Third, using a quantitative approach, this study compared Chinese consumers’ perceptions of Taobao and EachNet in terms of website features. Previous studies only conducted the focus group interviews or simply survey for a small sample. This research conducted a study with a large size sample (n= 685). Taobao was perceived as more popular than EachNet in terms of ease of use, sufficiency/accuracy/timeliness and payment. These website features could be the reasons for Chinese consumers’ higher satisfaction and loyalty to Taobao over EachNet. A following study could do further exploration to investigate these factors. 82 2.Managerial Implications This study identified the unique website features that affected Chinese consumers’ satisfaction and, ultimately, their loyalty. A foreign e-retailer who may intend to start an e-business needs to understand Chinese consumers’ online shopping behaviors in order to satisfy their unique needs. First, providing merchandise with a cheap price but good quality may attract Chinese customers, because Chinese people are very price-sensitive (Lin & Li, 2005). However, e-retailers should not focus too much on setting a very cheap price because Chinese consumers also believe “cheap products are never good” (Li & Suo, 2006). Also, it is important to understand what the Chinese consumers’ online needs are. For example, the top-selling products in the U.S. (e.g., vehicles) might not be a proper choice for the Chinese consumers, who like shopping for clothes, electronic products and cosmetics (Ou et al., 2007). In addition, Chinese consumers like searching for unique products such as foreign products which can not be easily found in the retail stores. In China, there is a service called procurement service emerging as very popular in recent years (Baidu, 2010). This service helps Chinese online shoppers buy foreign products in Japan, Korea, America or European countries. Some products, like luxury perfume or handbags are not available in the Chinese market. Therefore, using this service, customers save the money for the flight to buy whatever products they want from outside of China. Also, if a customer wants to buy foreign luxury brand name clothes using procurement service, the price is much cheaper than the one in the retail store in China. Even though this procurement service charges a 10% service fee, the price is still reasonable to Chinese consumers. For example, a shopper said, “using this service, I could buy a latest Coach handbag which is not available in the retail store in China. If I 83 buy a similar one, the price in China is twice as the one in the U.S.”(“E-commerce in China,” 2008). Thus, since procurement service has started to become one of the online shopping styles in China, foreign e-retailers may target this group of consumers who desire unique foreign products in the Chinese market. Second, based on Chinese consumers’ perception of high risk of an online transaction, designing a secure payment system is very important for an e-retailer to build trust with a buyer (Lu, 2005). Some e-retailers continue to develop its off-line payment system, such as cash-on-delivery, to satisfy those customers who are still concerned about online security (Dieter & He, 2000). Also, in order to build confidence for an online transaction, a strict verification system is needed to avoid online fraud problems. eBay (U.S.) verified sellers’ identification by means of phone number and address, which is a feasible and trustworthy verification system among the American consumers (Li & Liu, 2007). However, in China, it is not enough for building trust through just a phone number. One could have several phone numbers which could bring fraud problems. In order to avoid fraud problems, Taboo develops its own verification system which requires sellers to process identification verification when they register as a member of Taobao. To do su, every seller needs to upload his/her photocopy ID. In this case, if fraud problems happen to any sellers, Taobao’s security system could easily find the seller based on their ID. Thus, through this strict verification system, Taobao helps buyers build trust with sellers. Third, Chinese consumers like a shopping website which also contains entertainment elements. For example, they like being involved a variety of activities, such as playing games. Taobao designs its game to attract customers who want to have fun while they are shopping. The winners earn a coupon from Taobao that can be spent 84 on any products on the Taobao website. Also, Taobao organizes an online fashion show every year that asks buyers to evaluate the best or the most popular sellers to show off their clothing selections. One seller said: “Taobao makes my store popular and makes me become successful” (“E-commerce in China,” 2008). Besides that, Taobao has created one product category called Super Star Street, which sells popular movies and star singers’ or singer stars’ second-hand products. Buyers even have the opportunity to directly communicate with those super stars on Taobao. All of these entertainment strategies attract Chinese customers, especially young people, to spend their time and money on Taobao. Thus, Taobao’s entertainment selling strategy is worth learning for eretailers. Fourth, a retailer needs to find a reliable and quick delivery company that meets Chinese consumers’ delivery needs. In China, some e-retailers such as Taobao permit sellers and buyers to negotiate the delivery methods depending on the buyer’s needs. Chinese customers need to be reassured that the expected products they bought will be exactly what the seller promised. Taobao, for instant, has already signed contracts with big logistic companies such as China post office and EMS. However, some customers who live in the smaller cities or towns do not prefer to use these big companies due to the expensive prices. Therefore, in recent years, some small and local logistical companies have been rapidly developing in order to target these groups of consumers who desire a reliable but lower price service. Thus, Taobao’s personalized delivery service satisfies different groups of consumers, the idea of which could be borrowed by foreign eretailers. 85 Finally, communication is very important in the Chinese friend-relationship culture. This is a convenient communication tool that helps buyers find sellers easily in order to better understand each other’s needs. Through becoming involved in a discussion on the quality and price of products, buyers and sellers communicate with each other to enhance the confidence between both parties (Li & Liu, 2007). More importantly, Taobao allows buyers and sellers to negotiate price. This is different from U.S. based online shopping where the price of products is fixed. On Taobao, through communicating with sellers, buyers will know more about the details of products such as size, color or availability. Sometimes, sellers may introduce or recommend customers their new products that are coming soon. If a buyer is a loyal customer with a seller, based on their business relationship, the buyer could acquire a lower price for the products compared to the others. In addition, using Taobao’s instant communication tool, wangwang, buyers could ask questions about products at any time. Wangang is very convenient because it is bound with the seller’s cellphone, so that a buyer’s message can be sent to sellers even if sellers are not online. In this way, sellers could answer buyers’ questions in a reasonable time frame. Also, Taobao designed a well developed community forum, which provides a platform for sellers and buyers to share their experiences. For example, buyers will communicate about which sellers have the best quality product. Sellers can discuss how to earn money and where to find the best merchandise suppliers. Thus, designing a convenient instant communication tool is very important for a foreign e-retailer who starts its business in a friendship based shopping environment. Meanwhile, providing an online community is vital to creating an opportunity for both sellers and buyers to enhance mutual understanding. 86 Our comparison between Taobao and EachNet, in terms of website features, also provided the reasons for Taobao’s success and popularity. Although Taobao just established the company when EachNet was dominating the Chinese online market, Taobao beat the competitor within several years. When EachNet was first adopted in China, it carried the original strategy that was applied in the U.S., without considering the local unique needs among Chinese consumers. Taobao reflected the local preferences on their business to meet Chinese consumers’ specific needs. Although EachNet imitated Taobao’s localized strategy such as Taoabao’s unique communication tool (Wangwang) and payment system in recent years, it is still difficult for EachNet to recover from its earlier failure. Taobao already has the loyal customers who are satisfied with their past shopping experiences, making it difficult for them to change to a new shopping environment. Thus, foreign e-retailers need to create an innovative strategy at the entry level for the local needs. Limitations The samples in this study only focused on college female students, which might raise a question regarding the generalization of the results to the population of online shoppers. In the future, we may consider both genders’ perception of online shopping among Chinese consumers. Also, this study was only conducted in two cities in China. Thus, the findings might vary if the study was performed in other areas. Therefore, researchers may consider different locations and populations in a future study. In addition, this study indentified six factors of website features relating to Chinese consumers’ perception from the qualitative study (focus group interviews). However, we failed to find the factors of 87 merchandise and communication from quantitative study (survey); thus, future study may need to identify and confirm these two factors in different sampling. 88 REFERENCES Abrazhevich, D. (2004). Electronic payment systems: A user-centered perspective and interaction design. Technical University of Eindhoven. Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R., Alan Sawyer, A., et al. (1997). Interactive home shopping: consumer, retailer., & manufacturer incentives to participate in electronic marketplaces. Journal of Marketing, July, 38-53. Anderson, E. W., & Mittal, V. (2000). Strengthening the satisfaction–profit chain. Journal of Service Research 32, 107-120. Anderson, R. E., & Srinivsan, S. S. (2003). E-satisfaction and e-loyalty: A contingency framework. Psychology & Marketing, 20(2), 123-138. Baidu.com. (2010). from www.baidu.com Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545. Bansal, H. S., McDougall, G. H. G., Dikolli, S. S., & Sedatole, K. L. (2004). Relating esatisfaction to behavioral outcomes: An empirical study. Journal of Services Marketing, 18(4), 290-302. Barboza, D. (2008). China surpasses U.S. in number of Internet users. Retrieved July 26, from http://www.nytimes.com/2008/07/26/business/worldbusiness/26internet.html 89 Barnes, S. J., & Vidgen, R. T. (2001). An evaluation of cyber-bookshops: The WebQual method. International Journal of Electronic Commerce, 6, 11-30. Barnes, S. J., & Vidgen, R. T. (2003). Interactive e-government: Evaluating the website of the UK Inland revenue. Journal of Electronic Commerce in Organizations, 2(1), 42-63. Bauer, H. H., Falk, T., & Mammerschmidt, M. (2006). eTransQual: A transaction process-based approach for capturing service quality in onlne shopping. Journal of Business Research 59, 866-875. Benson, D. H. D. (1983). A field study of end-user computing: Findings and issues MIS Quarterly 7(4), 35-45. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370 Bin, Q., Chen, S.-J., & Sun, S. Q. (2003). Cultural differences in E-commerce: A comparison between the U.S. and China. Journal of Global Information Management, 11(2), 48-55. Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty Journal of Marketing 65(2), 81-93. Chen, J., Zhang, C., Yuan, Y., & Huang, L. (2007). Understanding the emerging C2C electronic market in China: An experience-seeking social marketplace. Electronic Markets, 17(2), 86-100. Cheung, C. M. K., & K.O.Lee, M. (2005). Consumer satisfaction with Internet shopping:A research framework and propositions for future research. 90 Childersa, T. L., Carrb, C. L., Peckc, J., & Carsond, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77, 511– 535. China's Internet users - demographics and statistics. (2009). Retrieved July, 28, from http://rekursive.com/blog/11/china%E2%80%99s-internet-users-demographicsand-statistics/ China's online shopping in 2008 leaps 128.5%. (2009). (February, 25). Retrieved from http://trendsniff.com/2009/02/25/chinas-online-shopping-in-2008-leaps-1285/ China to be Asia-Pacific's largest online shopping market. (2008). Retrieved June, 27, from http://www.chinadaily.com.cn/bizchina/2008-06/27/content_6801647.htm CNNIC. (2003). The 11th statistical survey report on the internet development in China. Retrieved from www4.cnnic.net.cn/download/2003/10/10/170932.pdf CNNIC. (2006). The 17th statistical survey report on the internet development in China. Retrieved from www4.cnnic.net.cn/images/2006/download/2006011701.pdf Coyle, J. R., & Thorson, E. (2001). The effects of progressive levels of interactivity and vividness in web marketing sites. Jounral of Advertising, 41(3), 65-77. Credit card systems in China: Technology and vendor overview. (2010). Retrieved January 11, 2010, from http://www.celent.com/124_2662.htm Cui, X., Lai, Liu, V. S., & W., C. K. (2008). Research on consumer behaviour in online auctions: Insights from a critical literature review. Electronic Markets, 18(4), 345361. Cyr, D., Kindra, G. S., & Dash, S. (2008). Website design, trust, satisfaction and eloyalty: The Indian experience. Online information review, 32(6), 773-790. 91 Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models Management Science, 35(8), 982-1003 Debons, A., Ramage, W., & Orien, J. (1978). Effectiveness model of productivity. In L. F. Hanes & C. H. Kriebel (Eds.), Research on productivity measurement systems for administrative services: Computing and information services (Vol. 2). Delgado Ballester, E., & Alema´n, J. L. M. (2001). Brand trust in the context of consumer loyalty. European Journal of Marketing, 35(11/12), 1238–1258. DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31–47. Dick, A. S., & Basu, K. (1994). Customer loyalty: Toward an integrated conceptual framewor. Journal of the Academy of Marketing Science 22, 99-113. Dieter, E., & He, J. (2000). The Future of E-Commerce in China: Analysis from the EastWest Center. Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12(2), 259-274. Du, X. (1999). Internet diffusion and usage in China. Prometheus 17(4). E-Commerce in China: Alibaba, Ctrip, Taobao and others. (2008). Retrieved September, 05, from http://www.my-life-in-china.com/online-marketing/e-commerce-inchina-alibaba-ctrip-taobao-and-others/ EachNet.com. (2010). from www.eachnet.com 92 Elliott, M. T., & Speck, P. S. (2005). Factors that affect attitude toward a retail website. Journal of Marketing, 40-51. Engel, J. F., Kollat, D., & Blackwell, R. D. (1982). Consumer behavior. New York: Dryden Press. Fang, X., Chan, S., Brzezinski, J., & Xu, S. (2006). Moderating effects of task type on wireless technology acceptance Journal of Management Information Systems, 22(3), 123 - 158 Flavia´n, C., Guinalı´u, M., & Gurrea, R. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management, 43, 1-14. Fu, H., Huang, Y., & Wei, X. (2007). Development of China C2C e-commerce from the perspective of goods delivery. In W. Wang (Ed.), Integration and Innovation Orient to E-Society Volumel (Vol. 251, pp. 179-186). Boston Springer. Gommans, M., Krishnan, K. S., & Scheffold, K. B. (2001). From brand loyalty to eloyalty: A conceptual framework. Journal of Economic and Social Research, 3(1), 43-58. Gray, T. (2007). Internet use in China soars. Gremler, D. D. (1995). The effect of satisfaction, switching costs, and interpersonal bonds on service loyalty. Arizona State University, Tucson, Arizona. Gremler, D. D., & Brown, S. W. (1977). Service loyalty: Its nature, importance, and implications. In B. Edvardsson, S. W. Brown & R. Johnston (Eds.), Advancing Service Quality: A Global Perspective (pp. 171-180): International Service Quality Association. 93 Gummeris, F., Liljander, V., Pura, M., & Riel, A. V. (2004). Customer loyalty to contentbased Websites: the case of an online health-care service. Journal of Service Marketing, 18(2/3), 175-186. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis with readings. Hu, W. (2009). Taobao-China's largest Internet retail website. Retrieved March, 19, 2009, from http://english.cri.cn/6826/2009/03/19/1601s466279.htm iResearch. (2006). China C2C e-commerce research report 2005. Shanghai: iResearch Consulting Group. Ives, B., Olson, M. H., & Baroudi, J. J. (1983). The measurement of user information satisfaction. Communication of the ACM, 26(10), 785-793. Jin, B., Park, J. Y., & Kim, J. (2008). Cross-cultural examination of the relationship among firm reputation, e-satisfaction, e-trust, and e-loyalty. International Marketing Review, 25(3), 324-337. Jones, K., & Leonard, L. N. K. (2007). Consumer-to-Consumer electronic commerce: A distince research stream. Journal of Electronic Commerce in Organizations, 5(4), 39-54. Katerattanakul, P. (2002). Framework of effective website design for business-toconsumer Internet commerce. INFOR, 40(1), 57-69. Kim, J. (2005). An integrative model of e-loyalty development process: The role of esatisfaction, e-trust, etail quality and situational factors. Oklahoma State University, Stillwater. 94 Lee, S. (2007). Design a differntiated online experience: Insights from eBay China and Taobao. Retrieved June 3, 2008, from http://www.customerthink.com/article/online_experience_ebay_china_taobao Li, D., Li, J., & Lin, Z. (2007). Online consumer-to-consumer market in China – A comparative study of Taobao and eBay. Electronic Commerce Research and Applications, 7, 55-67. Li, H., & Suomi, R. (2006). E-commerce development in China: Opportunities or challenges? Paper presented at the the IADIS International Conference on Ecommerce, Barcelona, Spain. Li, Q., & Liu, Z. (2007). Reseach on Chinese C2C e-business institutional trust mechanism. Paper presented at the International Conference on Wireless Communications, Networking and Mobile Computing. Lin, Z., & Li, J. (2005). The Online Auction Market in China - A Comparative Study between Taobao and eBay. Paper presented at the International Conference on Electronic Commerce, Xi'an. Liu, B. (2006). Ebay Eachnet loses out to Taobao Retrieved May, 10, from http://www.chinadaily.com.cn/bizchina/200605/10/content_586012.htm Liu, C.-T., & Guo, Y. M. (2008). Validating the end-user computing satisfaction instrument for online shopping systems. Journal of Organizational and End-user Computing, 20(4), 74-96. Loiacono, E. T., Waston, R. T., & Goodhue, D. L. (2002). WebQual: A measure of website quality. Paper presented at the Wintern Educator, Chicago, IL. 95 Lu, H. T. (2005). The behavior differences of Chinese consumers. Beijing: Chinese social science press. Lu, J., Wang, L.-Z., Yu, C.-S., & Wu, J.-Y. (2009). E-auction web assessment model in China. Electronic Commerce Research 9, 149-172. Lu, Y., Zhao, L., & Wang, B. (2009). From virtual community members to C2C ecommerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention. Electronic Commerce Research and Applications. Retrieved from doi:10.1016/j.elerap.2009.07.003 Luarn, P., & Lin, H. H. (2003). A customer loyalty model for e-service context. Journal of Electronic Commerce Research, 4(4), 156-167. Madu, C. N., & Madu, A. A. (2002). Dimensions of e-quality. International Journal of Quality and Reliability Management, 19(3), 246-258. MarketAvenue. (2009). China's online shopping market report. from http://www.marketavenue.cn/upload/ChinaMarketReports/REPORTS_1157.htm McKinney, V., Yoon, K., & Zahedi, F. M. (2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13(3), 296-315. Medeiros, I. (2009). E-commerce in China:Oline shopping totals over 14 billion US dollars in 2008. Retrieved February 22, 2009, from http://designative.info/2009/02/22/e-commerce-in-china-online-shopping-totalsover-14-billion-us-dollars-in-2008/ Merisavo, M., & Raulas, M. (2004). The impact of e-mail marketing on brand loyalty. Journal of Product & Brand Management, 13(7), 498-505. 96 Nah, F. F.-H., & Davis, S. (2002). HCI research issue in E-commerce. Journal of Electronic Commerce Research, 3(3), 98-113. Neuman, S., & Segev, E. (1980). Evaluate your information system. Journal of Systems Management, 31(3), 34-41. Nolan, R., & Seward, H. (1974). Measuring user satisfaction to evaluate information systems. In R. L. Nolan (Ed.), Managing the data eesource function (Vol. 4). Los Angeles, CA: West publishing. Oliver, R. L. (1997). Satisfaction: A Behavioral Perspective on the Consumer. New York: Irwin/McGraw-Hill. Ou, C. X., & Davison, R. M. (2009). Why eBay lost to TaoBao in China: The glocal advantage. communications of the acm, 52(1), 145-148. Ou, C. X., Sia, C. L., & Banerjee, P. (2007). What is hampering online shopping in China. Jounral of Information technology management, 18(1), 16-32. Palmer, J. W., & Griffith, D. A. (1998). Information intensity: A paradigm for understanding website design. Journal of Marketing Theory and Practice 6(3), 38-42. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1991). Refinement and reassessment of the SERVQUAL Scale. Journal of Retailing, 67(4), 420-450. Park, C.-H., & Kim, Y.-G. (2003). Identifying key factors affecting consumer purchase behavior in an online shopping context. International Journal of Retail & Distribution Management, 31(1), 16-29. Park, H., & Baek, S. (2007). Measuring service quality of online bookstores with webQual. In J. Jacko (Ed.), Human-Computer Interaction (pp. 95-103). 97 Peterson, R. A., Sridhar, B., & Bart, J. B. (1997). Exploring the implications of the Internet for consumer marketing. Journal of the Academy of Marketing Science, 25(4), 329-346. Pikkarainen, K., Pikkarainen, T., Karjaluoto, H., & Pahnila, S. (2006). The measurement of end-user computing satisfaction of online banking services: Empirical evidence from Finland. the International Journal of Bank Marketing, 24(2/3), 158-172. Rauniar, R., Rawski, G., Crumbly, J., & Simms, J. (2009). C2C online auction website performance: Buyer's perspective. Journal of Electronic Commerce Research, 10(2), 56-75. Rabiee, F. (2004). Focus-group interview and data analysis. Proceedings of the Nutrition Society, 63, 655–660. Reichheld, F. F., & Schefter, P. (2000). E-loyalty: Your secret weapon on the Web. Harvard Business Review, 105-113. Rein, S. (2006). EBay faces a tough road in China. Retrieved October, 26, from http://seekingalpha.com/article/19322-ebay-faces-a-tough-road-in-china The research report of online shopping market in China. (2008). Retrieved December from http://www.researchandmarkets.com/reportinfo.asp?report_id=687091 Ribbink, D., Van Riel, A. C. R., Liljander, V., & Streukens, S. (2004). Comfort your online customer: Quality, trust and loyaltu on the Internet. Managing Service Quality, 14(6), 446-456. Rong, J. (2010). Online shopping boom in China. Retrieved January, 09, 2010, from http://news.xinhuanet.com/english/2010-01/09/content_12780077.htm 98 Santos, F. (2003). E-service quality: A model of virtual service quality dimensions. mangaing service quality, 13(3), 233-246. Schaupp, L. C., & Belanger, F. (2005). A conjoint analysis of online consumer satisfaction. Journal of Electronic Commerce Research, 6(2), 95-111. Sina.com. (2010). from www.sina.com.cn Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in ecommerce: An exploration of its antecedents and consequences. Journal of Retailing, 78, 41-50. Steiner, I. (2009). Taobao shows strong ecommerce growth in China last year. Retrieved February, 11, from http://www.auctionbytes.com/cab/cab/abn/y09/m02/i11/s02 Swanson, E. B. (1974). Management information systems: Appreciation and involvement. Management Science, 21(2), 178-188. Szymanski, D. M., & Hise, R. T. (2000). e-Satisfaction: An Initial Examination. Journat of Retailing, 76(3), 309-322. Taobao sees significant new trends in Chinese online consumption. (2009). Retrieved August, 24, from http://news.alibaba.com/article/detail/alibaba/100161267-1taobao-sees-significant-new-trends.html Taobao.com. (2010). from www.taobao.com Tarigan, J. (2008). User satisfaction using Webqual instrument: A research on stock exchange of Thailand (SET). Jurnal Akuntansi dan Keuangan Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty - heuristics and biases Science 185(4157), 1124-1131. 99 Wang, Y. D., & Emurian, H. H. (2005). Trust in E-commerce: Consideration of interfact design factors. Journal of electronic Commerce in Organization, 3(4), 42-60. Weber, N., Murphy, H., Schegg, R., & Murphy, J. (2005). An investigation of satisfaction and loyalty in the virtual hospitality environment. Retrieved from www.springerlink.com/index/vk43174211981780.pdf What is impeding growth of Chinese online shopping? (2005). Retrieved March 18, from http://seekingalpha.com/article/2031-what-is-impeding-growth-of-chineseonline-shopping Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79, 183-198. Wong, C., Wang, C., Song, D., Bielski, S., & Ganger, G. R. (2004). Dynamic quarantine of Internet worms. Paper presented at the Dependable Systems and Networks. Xin, K., Nie, W., & Pucik, V. (2007). Fending off giants. Retrieved October from http://www.imd.chfending/ XinHua. (2008). Internet consumption reached 400 billion yuan last year. Retrieved January 09, 2008, from Http://english.peopledaily.com.cn/90001/90778/90857/90860/6335322.html Xue, M., Harker, P. T., & Heim, G. R. (2000). Website efficiency, customer satisfaction and customer loyalty: A customer value driven perspective. Unpublished working paper. the Wharton School. Yang, M., Liu, D., Zhao, T., Qi, H., & Lin, K. (2009). Web based translation of Chinese organization name Journal of Electronics (China), 26(2), 279-284. 100 Yen, C. H., & Lu, H. P. (2008). Effects of e-service quality on loyalty intention: An empirical study in online auction. Managing Service Quality, 18(2), 127-146. Yoo, B., & Donthu, N. (2001). Developing and validating a multidimensional consumerbased brand equity scale. Journal of Business Research, 52(1), 1-14. Yue, J. (2008). A comparative study between eBay and Taobao in Chinese online auction market. 101 APPPENDICES 102 APPENDICES A QUESTIONNAIRE 103 Date______________ No. ___________ Dear Participants, We are conducting a research study of online shoppers. The purpose of this study is to examine Chinese perceptions of two Websites – Taobao and EachNet, and their loyalty intention. Your participation is absolutely voluntary. During the survey you may choose to stop participating at any time. Your responses will be anonymous; data will be combined and analyzed as a whole unit. Your individual responses will be totally unidentifiable in this combined format. If you have any questions, please contact Wenwen Xu (405-334-8981 or [email protected]). Your participation in the study will be greatly appreciated. Oklahoma State University Dept. Design, Housing & Merchandising Wenwen Xu (Master’s Student) Dr. Hira Cho (Assistant Professor) Section I (This section questions your experience on Taobao.) Have you ever visit and search information at Taobao? (If yes, please answer the following questions) 1. Yes 2. No How often do you visit this Website per month on average? 1. Less than 1 time 4. 11-20 times 2. 1 -5 times 5. 21-30 times 3. 6-10 times 6. More than 30 times How many hours per visit do you spend browsing or purchasing on this Website on average? 1. Less than an hour 4. 5-6 hrs 2. 1-2 hrs 5. 7-8 hrs 4. More than 8 hrs 3. 3-4 hrs 6. 5. What is the best estimate of the dollar amount spent on products purchased in 2009 via this website? ($1=RMB 6.8) 4. RMB 1,001-RMB 1,500 1. Under RMB 500 2. RMB 1,501-RMB 3,000 2. RMB 501-RMB 800 5. 3. Over RMB 3,000 3. RMB 801-RMB 1,000 6. 4. 5. 104 Section II (Website features) We would like to know your evaluation of Taobao. Please indicate the extent to which you agree or disagree with each of the following. Stron Stron gly gly Disagr ee Agree This site has accessible information that is easy to find. This site is user friendly. This site is easy to navigate. This site is convenient to use. The site is aesthetically pleasing to the eye. This site is well organized. The sequence of this main screen is clear. This site’s format is easy to read. This site’s information content fits my needs. This site provides me with precise information. This site provides sufficient information. This site provides up-to-date information. I get information in a quick period of time. This site frequently updates information. The product range of this site is comprehensive. The products sold on this site are difficult to find elsewhere. The general pricing of the products is reasonable. This site provides clear payment instructions. This site provides a variety of payment method options (e.g. post office remittance, online payment, and cash on delivery). Payment on this site is easy and 105 convenient. This site provides security for my transaction data. This site provides security concerning my privacy. I feel safe in my transactions on this site. This site verifies/certifies the authenticity of the sellers. This site has reasonable credit evaluation mechanism. The product is delivered by the time promised by the sellers. I get what I ordered from this site without error. The product that came was represented accurately by the website. This site provides a variety of delivery methods (e.g. post, express delivery, home delivery). I can experience a variety of enjoyable activities on this site (e.g. searching cosmetics information). This site is designed in an entertaining manner (e.g. play game, listen music). I can interact with the sellers or Taobao in order to receive information tailored to my specific needs. I can evaluate sellers with a feedback system. Customer share experiences about the site/product online with other customers of the website. Customer service personnel are always willing to help me. Inquiries are answered promptly. This site provides friendly return policies. This site has a strict measurement for the sellers who are fraud. 106 Section III (E-Satisfaction and E-Loyalty) We would like to know about your attitudes and behaviors toward Taobao. Please indicate the extent to which you agree or disagree with each of the following. Strongly Disagree I am satisfied with the experience on this eretailer. This website meets my expectation. I am overall satisfied with these online retailers. When I need to make a purchase, this Website is my first choice. I believe this is my favorite Website to buy the same kind of product. I try to purchase at this online retailer whenever I need to make a purchase. As long as the present service continues, I doubt that I would switch to another Website. Section IV We request general demographic information to help with our analysis. 1. How old are you? years 2. Which city are you in? 1)Beijing 2) YanTai 3. What’s your degree in college? 1) Freshman 2) Sophomore 3) Junior 4) Senior 4. Please indicate your household income per monthon average? ($1=RMB 6.8) 1) Under RMB 1,000 2) RMB 1,000-RMB2,000 3) RMB 2,001-RMB3000 4) RMB 3,001-RMB4,000 5) RMB4 ,001-RMB5,000 6) RMB 5,001-RMB6,000 6) 7) RMB 6,001-RMB10,000 8) Over 10,000 9) ($1=RMB 6.8) 5. Please indicate your allowance per month on average? 1) Under RMB 200 2) RMB 201-RMB 400 3) RMB 401-RMB 600 4) RMB 601-RMB 800 5) RMB 801-RMB 1,000 6) Over 1, 000 10) “Thank you again for your participation for this survey”. 107 Strongly Agree APPENDICES B OKLAHOMA STATE UNIVERSITY INSTITUTIONAL REVIEW BOARD APPROVA 108 109 110 111 112 113 VITA Wenwen Xu Candidate for the Degree of Master of Science Thesis: WHY TAOBAO OUTPERFORMED EACHNET: THE IMPORTANCE OF WEBSITE FEATURES ON E-SATISFACTION AND E-LOYALTY Major Field: Merchandising Biographical: Education: Completed the requirements for the Master of Science in Merchandising at Oklahoma State University, Stillwater, Oklahoma in July, 2010. Completed the requirements for the Bachelor of Science in Clothing Engineering at Beijing Institution of Clothing Technology, Beijing, China in 2010. Experience: Research Assistant, Department of Design, Housing & Merchandising (DHM), Stillwater, OK, (Jan. 2008 – May. 2005) Assistant Merchandiser, Beijing Representative Office of TAV Ltd (Cook Islands), Beijing, China (Jul. 2007 – Oct. 2007) Professional Memberships: International Textile and Apparel Association Name: Wenwen Xu Date of Degree: July, 2010 Institution: Oklahoma State University Location: Stillwater, Oklahoma Title of Study: WHY TAOBAO OUTPERFORMED EACHNET: THE IMPORTANCE OF WEBSITE FEATURES ON E-SATISFACTION AND E-LOYALTY Pages in Study: 114 Candidate for the Degree of Master of Science Major Field: Merchandising Scope and Method of Study: The first purpose of this study was to examine the influences of website features on e-satisfaction, ultimately e-loyalty among Chinese online consumers focusing on the two e-retailers: Taobao and EachNet. The second purpose was to compare two websites (Taobao and EachNet) in terms of the perception of website features that affect e-satisfaction and e-loyalty. This study employed both qualitative and quantitative approached by conducting the focus group interviews and consumer survey in order to understand Chinese consumers’ perception of online shopping. Exploratory factor analysis, regression analysis and t-test were conducted through the SPSS 17.0 program. Findings and Conclusions: Focus group interview identified eight dimensions of website features that were important to Chinese consumers towards online shopping. There were 1) service; 2) communication; 3) format; 4) ease of use; 5) payment/transaction system; 6) assurance; 7) timeliness; and 8) product information. The regression analysis confirmed a positive relationship among web site features, e-satisfaction, and e-loyalty among Chinese consumers. By comparing Chinese perception of website features between Taobao and EachNet, the t-test found that Chinese consumers are more satisfied with and loyal to Taobao than EachNet. Specifically, Chinese consumers perceived Taobao as easier to use, having more precise, sufficient and up-to-date information, and having more reliable payment/security system. This study demonstrated the practical implications for foreign e-retailers that intend to tailor their e-commerce strategies to Chinese consumers’ unique needs, in order to gain competitive advantages in China. ADVISER’S APPROVAL:
© Copyright 2024