Abstract

In location based M Commerce services, the service provider provides service to mobile users like their locations with a certain level of granularity to maintain a degree of secrecy. This level of granularity depends on their perceived risk as well as the incentives they receive in the form of monetary benefits or improved M-Commerce services. The factors included perceived risk are unauthorized access hidden and unconsciousness computing derived from mobile applications. Thus, perceived risk has a negative effect on intention to use M – Commerce by mobile users. To build the trust in the mobile user and to reduce the access cost of the M-Commerce, a mathematical Model using Mixed Integer Programming has been developed.

References

• Dhar, S. , & Varshney, U. (2011). Challenges and Buesiness Models for Mobile Location-Based Services and Advertising. Communications of the ACM, 54(5), pp. 121-129.
• Barnes, J. S. ,(2003) " Known by the Network: The Emergence of Location -Based Mobile Commerce" In E. P. Lim and K. Siau (eds. ), Advances in Mobile Commerce Technology. Hershey, PA: Idea Group: 171 – 189.
• Xu, H. and S. Gupta,(2009) "The Effects of Privacy Concerns and Personal Innovativeness on Potential and Experienced Customers' Adoption of Location Based Services," Electronic Markets , Vol. 19, No. 2: 137 -149.
• Rao, B. and L. Minakakis,(2003) "Evolution of Mobile Location Based Services," Communications of the ACM , Vol. 46, No. 12: 6 1 65, 2003.
• Berg Insight,(2012)"Mobile Location-Based Services," http://www. berginsight. com/ReportPDF/ProductSheet/bi-lbs4-ps. pdf, 2012.
• Junglas, I. A. and R. T. Watson,(2008) "Location-Based Services," Communications of the ACM, Vol. 51, No. 3: 65-69.
• Xu, H. , X. Luo, J. M. Carroll and M. B. Rosson,(2011), "The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing", Decision Support Systems, Vol. 51, No 1: 42-52.
• Sheng, H. , Nah, F. -H. , & Siau, K. (2008). An Experimental Study on Ubiquitous Commerce Adoption: Impact of Personalization and Privacy Concerns. Journal of the Association for Information Systems, 9 (6), 344-376.
• D. L. Lee, W. -C. Lee, J. Xu, and B. Zheng,(2002), "Data management in location-dependent information services: Challenges and issues," IEEE Pervasive Computing, Vol. 1, pp. 65-72.
• H Kirchner, Reto Krummenacher1, David Edwards-May2 and Thomas Risse1,(2004) "A Location-aware Pre-fetching Mechanism", Fourth International Network Conference: Plymouth, UK, 6-9 July 2004. Plymouth: University Plymouth, pp. 453-460.
• Y Saygin , Ozgur Ulusoy and Ahmed K. Elmagarmid(2000), "Association rules for supporting hoarding in mobile Computing environments", Proc. Tenth International Workshop on Research Issues in Data Engineering, Page(s):71–78.
• Sang-Won Kang, Joon-Min Gil, SangKeun(2007), "Considering a User's Mobility and Query Patterns in Location-Based Services", Proc. Of the ACM conf Mobility'07 conf.
• Sharma, Archana, Tomar RPS(2013), 'Simulation Framework of Caching Techniques for Adoptability of M-Commerce in Location Based Services' International Journal of Computer Application (IJCA), Vol 84, issue 2.
• V. Grassi, "Prefetching policies for energy saving and latency reduction in a wireless broadcast data delivery system," in Proceedings of International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2004 pp. 77-84.
• Khorramshahgol R, Tamiz, M. and Al –Hussain. R,(2010) 'Application of Linear Programming to Swap Analysis in SCM of Oil Industry' Journal of Information and Optimization Science. Vol 31(6), pp. 1375-1388.