[AISWorld] CFP: I&M Special Issue on Big Data Commerce

[Raymond Lau]

***  CALL FOR PAPERS  ****

Information and Management
Special Issue on Big Data Commerce

Suggested Topics

This special issue seeks contributions reporting novel solutions, models,
theories, or systems regarding big data analytics in electronic commerce.
Topics of interest include but are not limited to:

.	Big data in e-commerce
.	Big data applications in e-finance
.	Big data management for e-business
.	Big data driven business processes
.	Big data strategies and cases for e-business
.	Business redesign through big data initiatives
.	Cloud services and architectures for e-business applications
.	Customer value management via big data analytics
.	Data science and applications in e-business
.	Data mining theories, methods, and applications in e-commerce
.	Data monetization strategies and operations
.	E-commerce ecological issues 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
.	Security and privacy issues concerning big data business
.	Social network analytics for e-business

All submissions are required to be done via the I&M online submission
system. Author guidelines are available from
(http://www.elsevier.com/journals/information-and-management/0378-7206/guide
-for-authors). Please indicate "Special Issue Submission on Big Data
Commerce" for the type of submission and also in your cover letter.  All
submissions will go through an initial screening by guest editors. Only
quality submissions will go through the review process.

Key Dates:

Online system open for submission:       April 25 to July 15, 2015
First submission paper due:                    July 15, 2015
First round decision made:                      October 15, 2015
Revised manuscript due:                         January 15, 2016
Final decision made:                               April 15, 2016
Final paper due:                                      June 15, 2016


Guest Editors:

Guoqing Chen, Tsinghua University (chengq at sem.tsinghua.edu.cn)
Xunhua Guo, Tsinghua University (guoxh at tsinghua.edu.cn) 
Raymond Lau, City University of Hong Kong (raylau at cityu.edu.hk)
J. Leon Zhao, City University of Hong Kong(jlzhao at cityu.edu.hk)

Guest Editorial Review Board:

Hu, Daning, University of Zurich, Switzerland
Fan, Shaokun, West Texas A&M University, USA
Indulska, Marta, University of Queensland, Australia
Liang, TP, National Chengchi University, Taiwan
Liao, Stephen, City University of Hong Kong, China
Storey, Veda, Georgia State University, USA
Liu, De, University of Minnesota, USA
Liu, Hongyan, Tsinghua University, China
Ma, Jian, City University of Hong Kong, China
Purao, Sandeep, Penn State University, USA
Wang, Harry Jiannan, University of Delaware, USA
Wang, Huaiqing, South University of Science and Technology, China
Xiong, Hui, Rutgers University, USA
Xu, Dongming, University of Queensland, Australia
Yue, Wei Thoo, City University of Hong Kong, China
Zeng, Daniel, University of Arizona, USA
Zhang, Kunpeng, University of Illinois, Chicago, USA
Li, Yuefeng, Queensland University of Technology, Australia
Xu, Yue, Queensland University of Technology, Australia
Chiu, Dickson, University of Hong Kong, China
Li, Chunping, Tsinghua University, China
Ye, Yunming, Harbin Institute of Technology, China
Zhang, Haijun, Harbin Institute of Technology, China
Li, Yinsheng, Fudan University, China
Wang, Kanliang, Renmin University, China
Zhou, Honggeng, Zhejiang University, China
Yan, Xiangbin, Harbin Institute of Technology, China
Cai, Yi, South China University of Technology, China
Yu, Ping, University of Wollongong, Australia
Abedin, Babak, University of Technology Sydney, Australia
Chao, Kuo-Ming, Coventry University, UK
James, Anne, Coventry University, UK
Wu, Dezhi, Southern Utah University, USA


References on big data applications and strategies:

.	Ee-Peng Lim, Hsinchun Chen, Guoqing Chen, Business Intelligence and
Analytics: Research Directions, ACM Transactions on Management Information
Systems, Volume 3 Issue 4, January 2013
(http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2965&context=sis_
research).
.	Stefan Biesdorf, David Court, and Paul Willmott, Big data: What's
your plan? McKinsey Quarterly, March 2013,
(http://www.mckinsey.com/insights/business_technology/big_data_whats_your_pl
an).
.	Andrew McAfee and Erik Brynjolfsson, Big Data: The Management
Revolution, Harvard Business Review, October 2012
(https://hbr.org/2012/10/big-data-the-management-revolution/ar).
.	J. Leon Zhao, Shaokun Fan, Daning Hu, Business Challenges and
Research Directions of Management Analytics in the Big Data Era, Journal of
Management Analytics, 2014
(http://www.tandfonline.com/doi/abs/10.1080/23270012.2014.968643#.VIReotKUd8
E).


About Information and Management

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