Combining Mobile Intelligence with Formation Mechanism for Group Commerce
The rise of smartphones brings new concept So-Lo-Mo (social-local-mobile) in mobile commerce area in recent years. However, current So-Lo-Mo services only focus on individual users but not a group of users, and the development of group commerce is not enough to satisfy the demand of real-time group buying and less to think about the social relationship between customers. In this research, we integrate mobile intelligence with group commerce and consider customers' preference, real-time context, and social influence as components in the mechanism. With the support of this mechanism, customers are able to gather near customers with the same potential purchase willingness through mobile devices when he/she wants to purchase products or services to have a real-time group-buying. By matching the demand and supply of mobile group-buying market, this research improves the business value of mobile commerce and group commerce further.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1125973Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 837
 Lee, E. 2013. “H1 Group-buying Turnover Record Historical High of 14.13 Billion Yuan,” Available at: http://technode.com/2013/08/29/2013h1-group-buying-turnover-record-historical-high-of-14-13-million-yuan/.
 Madhavaram, S. R., and Laverie D.A. 2014. “Exploring Impulse Purchasing on the Internet,” Advances in Consumer Research (31), pp. 59-66.
 Forbes, 2012. “Groupon's Problem,” Available at: http://www.forbes.com/sites/panosmourdoukoutas/2012/08/14/groupons-problem/.
 Li, Y.M., Chou, C.L., and Lin, L.F. 2014. “A social recommender mechanism for location-based group commerce,” Information Sciences (274:1), pp. 125-142.
 Ngai, E. W. T., and Gunasekaran, A. 2007. “A review for mobile commerce research and applications,” Decision Support Systems (43), pp. 3-15.
 Klein, A., and Bhagat, P. 2010. “We-Commerce: Evidence on A New Virtual Commerce Platform,” Global Journal of Business Research (4:4), pp. 107-124.
 Dey, A. K, and Abowd, G.D. 1999. “Towards a Better Understanding of Context and Context-Awareness,” Georgia Institute of Technology.
 Ryan, N., Pascoe, J., and Morse, D. 1997. “Enhanced Reality Fieldwork: The Context Aware Archaeological Assistant in CAA 97”.
 Kwon, O. 2006. “Multi-agent system approach to context-aware coordinated web services under general market mechanism,” Decision Support Systems (41:2), pp. 380-399.
 Li, Y.M., Lee, Y.L., and Lien, N.J. 2012. “Online Social Advertising via Influential Endorsers,” International Journal of Electronic Commerce (16:3), pp. 119-153.