CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Mathematical Model to Study the Cost Effects and Mobile-Users Trust on Location based Data Access in Mobile-Commerce Transactions

by R.p.s. Tomar, Archana Sharma
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 12
Year of Publication: 2014
Authors: R.p.s. Tomar, Archana Sharma
10.5120/18430-9794

R.p.s. Tomar, Archana Sharma . Mathematical Model to Study the Cost Effects and Mobile-Users Trust on Location based Data Access in Mobile-Commerce Transactions. International Journal of Computer Applications. 105, 12 ( November 2014), 22-26. DOI=10.5120/18430-9794

@article{ 10.5120/18430-9794,
author = { R.p.s. Tomar, Archana Sharma },
title = { Mathematical Model to Study the Cost Effects and Mobile-Users Trust on Location based Data Access in Mobile-Commerce Transactions },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 12 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number12/18430-9794/ },
doi = { 10.5120/18430-9794 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:32.989763+05:30
%A R.p.s. Tomar
%A Archana Sharma
%T Mathematical Model to Study the Cost Effects and Mobile-Users Trust on Location based Data Access in Mobile-Commerce Transactions
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 12
%P 22-26
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
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
  1. 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.
  2. 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.
  3. 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.
  4. Rao, B. and L. Minakakis,(2003) "Evolution of Mobile Location Based Services," Communications of the ACM , Vol. 46, No. 12: 6 1 65, 2003.
  5. Berg Insight,(2012)"Mobile Location-Based Services," http://www. berginsight. com/ReportPDF/ProductSheet/bi-lbs4-ps. pdf, 2012.
  6. Junglas, I. A. and R. T. Watson,(2008) "Location-Based Services," Communications of the ACM, Vol. 51, No. 3: 65-69.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
Index Terms

Computer Science
Information Sciences

Keywords

Perceived Risk LBS HLR M-Commerce LPP

Powered by PhDFocusTM