The 2014 International Workshop on Big Data Commerce (BDC 2014)
Call for Participation: The 2014 International Workshop on Big Data Commerce (BDC 2014) December 27, 2014, Shenzhen, China Hosted by Shenzhen Research Institute of City University of Hong Kong and China Information Economics Society Big data have been embraced as a disruptive technology that will reshape business in many domains. E-Commerce is one such domain that involves huge amount of data. The purpose of this workshop is to bring together people from academia, industry, and government, and provide a forum to discuss new research directions in the area of big data commerce. A critical goal of the workshop is to cultivate high quality research publications concerning Big Data Commerce, which capitalizes on recent technological advances such as cloud computing, mobile commerce, and big data analytics to advance electronic commerce. Given the nature and purposes of this workshop, we invite submission of Extended Abstract (up to three pages). The workshop will consist of working sessions in various groups that are designed to help authors to develop their research papers in terms of research problems, analysis methods, theoretical perspectives, and business contexts. Post conference papers will be published that incorporate the results of discussion in the workshop. Two special issues related to this workshop will be announced soon for “Information & Management” and “Electronic Commerce Research” respectively. Authors of selected papers will then be suggested to revise and resubmit their papers to special issues. Given that big data commerce is a relatively new area of study, this workshop has a unique mission to cultivate high quality research papers through an open innovation process. Through extensive discussions with authors based on their submitted abstracts during the workshop, the workshop is to help authors develop their research ideas rapidly so that they will be able to submit more well-developed papers soon after the workshop. Special issue editors associated with the workshop will be invited to review the resubmitted papers for recommendation to the special issues for further processing. All submissions should be formatted in single line spacing, Times New Roman, 12 point font, and 1 inch margins all around. The submission should outline business background, research problems / questions, overview of key references, research methods, and intended research outcomes. Submissions in English are mandatory, but authors may also submit in Chinese if that is their preference. We will recommend professional companies to provide translation and editing services for selected papers. Suggested research topics include, but not limited to, the following ones: Big data applications in finance Big data in e-commerce Big data management for business Big data driven business processes Big data strategies and cases Business redesign through big data initiatives Cloud services and architecture for business applications Customer value management via big data analytics Data as a service for business Data science and applications in business Data mining theories and applications in e-commerce Data monetization strategies and operations Economic issues of big data applications in business E-commerce ecologic issues and models in the big data era Innovative business models in e-commerce involving big data Integration of mental models and big data analytics in e-commerce Mobile commerce analytics Security and privacy issues concerning big data business Social network analytics for business Strategic considerations for big data implementation Important Dates: Submission Deadline: Dec. 17, 2014 Acceptance Notification: Dec. 20, 2014 Workshop Date: Dec. 27, 2014 Post-Workshop Submission: March 27, 2015 Submission: Each submission must be emailed to both [email protected] and [email protected], simultaneously. Workshop Chairs: J. Leon Zhao, City University of Hong Kong, Hong Kong, China Kang Xie, Sun Yat-Sen University, Guangzhou, China Program Chairs: Jinghua Xiao, Sun Yat-Sen University, Guangzhou, China Shaokun Fan, West Texas A&M University, USA Webmaster: Lele Kang, City University of Hong Kong, China Advisory Committee (Tentative): Guoqing Chen, Tsinghua University Hsingchun Chen, University of Arizona Patrick Chau, University of Hong Kong Paulo Goes, University of Arizona Lihua Huang, Fudan University T. P. Liang, National Sun Yat-Sen University Yezheng Liu, Hefei University of Technology Kai Lim, City University of Hong Kong Jiye Mao, Renmin University of China Veda Storey, Georgia State University Kar Yan Tam, Hong Kong University of Science and Technology Doug Vogel, Harbin Institute of Technology Huaiqing Wang, South University of Science and Technology of China K.K. Wei, City University of Hong Kong Pengzhu Zhang, Shanghai Jiao Tong University Daniel Zeng, University of Arizona Program Committee (Tentative): Jinwei Cao, University of Delaware Wanchun Dou, Nanjing University Yulin Fang, City University of Hong Kong Xunhua Guo, Tsinghua University Sang-Pil Han, Arizona State University Susanna Ho, National University of Australia Daning Hu, University of Zurich Noyan Ilk, Florida State University Raymond Lau, City University of Hong Kong Xin Li, City University of Hong Kong Manlu Liu, Rochester Institute of Technology Jian Ma, City University of Hong Kong Jay Shan, University of Cincinnati Alan Wang, Virginia Tech Harry Wang, University of Delaware Xiang Wang, Nanjing University Qiang Wei, Tsinghua University Harris Wu, Old Dominion University Zhi Xiao, Chongqing University Jennifer Xu, Bentley College Qiang Ye, Harbin Institute of Technology Wei Thoo Yue, City University of Hong Kong Dongsong Zhang, University of Maryland – Baltimore County Kunpeng Zhang, University of Illinois at Chicago Han Zhang, Georgia Institute of Technology Xiaoquan (Michael) Zhang, The Hong Kong University of Science and Technology Zhongju Zhang, University of Connecticut Huimin Zhao, University of Wisconsin – Milwaukee Kang Zhao, University of Iowa Ying Zhao, Sichuan University Rong Zheng, Hong Kong University of Science and Technology Lina Zhou, University of Maryland – Baltimore County Wenqi Zhou, Duquesne University Yilu Zhou, Fordham University Bin Zhu, Oregon State University Qinghua Zhu, Nanjing University
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