Abstract
Customer profiling in the mobile commerce (m-commerce) domain has recently gained importance due to the increased proliferation of smartphones and tablets. One of the major challenges confronting m-commerce developers is the need to know user perceptions of m-commerce applications in order to better design and deliver m-commerce services. In this paper, user perceptions of mobile commerce applications is analyzed based on their gender and the operating system (OS) of the devices in use, which are important factors for user profiling in mobile business models. The results show that there is a significant difference between Android and iOS device users’ perceptions of mobile commerce applications except for their perception of advertisements. On the other hand, user perceptions of mobile applications in general does not exhibit significant differences except for the perception of usefulness for both gender and OS.
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References
Sadeh, N.: Mobile Commerce: Technologies, Services, and Business Models. Wiley Computer Publishing, New York (2002)
Ajzen, I., Fishbein, M.: Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, Englewood Cliffs (1980)
Davis, F.D.: Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13(3), 318–330 (1989)
van der Heijden, H.: Factors Influencing the Usage of Websites: The Case of a Generic Portal in the Netherlands. Information and Management 40(6), 541–549 (2003)
Legris, P., Ingham, J., Collerette, P.: Why Do People Use Information Technology. A Critical Review of the Technology Acceptance Model. Information and Management 40(3), 191–204 (2003)
Yang, K.C.C.: Exploring Factors Affecting the Adoption of Mobile Commerce in Singapore. Telematics and Informatics 22(3), 257–277 (2005)
Wu, J.H., Wang, S.C.: What Drives Mobile Commerce? An Empirical Evaluation of the Revised Technology Acceptance Model. Information and Management 42(5), 719–729 (2005)
Mahatanankoon, P., Wen, H.J., Lim, B.: Consumer-Based M-Commerce: Exploring Consumer Perception of Mobile Applications. Computer Standards and Interfaces 27(4), 347–357 (2005)
Sheng, H., Nah, F.F.H., Siau, K.: An Experimental Study on Ubiquitous Commerce Adoption: Impact of Personalization and Privacy Concerns. Journal of the Association for Information Systems 9, 344–376 (2008)
He, T., Wang, Y., Liu, W.: Empirical Research on Mobile Commerce Use: An Integrated Theory Model. Advances in Information Sciences & Service Sciences 4(7), 23–32 (2012)
Kim, H., Chan, H.C., Gupta, S.: Value-Based Adoption of Mobile Internet: An Empirical Investigation. Decision Support Systems 43, 111–126 (2007)
Barutcu, S.: Attitudes towards Mobile Marketing Tools: A Study of Turkish Consumers. Journal of Targeting, Measurement and Analysis for Marketing 16, 26–38 (2007). doi:10.1057/palgrave.jt.5750061
McKnight, D.H., Cervany, N.L.: What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Concept Typology. International Journal of Electronic Commerce 6, 35–59 (2002)
Siau, K., Shen, Z.: Building Customer Trust in Mobile Commerce. Communications of the ACM 46(4), 91–94 (2003)
Teng, W., Lu, H., Yu, H.: Exploring the Mass Adoption of Third-Generation (3G) Mobile Phones in Taiwan. Telecommunications Policy 33, 628–641 (2009)
Bruner, G.C., Kumar, A.: Explaining Consumer Acceptance of Handheld Internet Devices. Journal of Business Research 58(5), 553–558 (2005)
Tang, M.L., Kuo, C.W.: Toward an Integrative Model for Consumer Behavior Regarding Mobile Commerce Adoption. In: 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, pp. 142–149 (2010) doi:10.1109/CyberC.2010.34
Whitley, B.: Gender Differences in Computer Related Attitudes and Behavior: a Meta-analysis. Human Behavior 13(1), 1–22 (1997)
Seneviratne, S., Seneviratne, A., Mohapatra, P., Mahanti, A.: Your installed apps reveal your gender and more! In: Proceedings of the ACM MobiCom Workshop on Security and Privacy in Mobile Environments, SPME, pp. 1–6 (2014)
Anckar, B., D’Incau, D.: Value-added Services in Mobile Commerce: An Analytical Framework and Empirical Finding from A National Consumer Survey. In: Proceedings of the 35th Hawaii International Conference on System Science (2002)
Gerpott, T.J., Thomas, S.: Empirical Research on Mobile Internet Usage: A Meta-analysis of the Literature. Telecommunications Policy 38(3), 291–310 (2014). doi:10.1016/j.telpol.2013.10.003
Smartphone OS Market Share, Q1 (2015). http://www.idc.com/prodserv/smartphone-os-market-share.jsp (last visited at June 1, 2015)
The problem facing Android: Users don’t want to spend money. http://www.zdnet.com/article/the-problem-facing-android-users-dont-want-to-spend-money/ (last visited at June 1, 2015)
Plant S.: On the mobile: The effect of mobile telephones on social and individual life. Report commissioned by Motorola (2000)
Cross, S.E., Madson, L.: Models of the self: self-construals and gender. Psychological Bulletin 122(1), 5 (1997)
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Ünal, P., Temizel, T.T., Erhan Eren, P. (2015). A Study on User Perception of Mobile Commerce for Android and iOS Device Users. In: Younas, M., Awan, I., Mecella, M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2015. Lecture Notes in Computer Science(), vol 9228. Springer, Cham. https://doi.org/10.1007/978-3-319-23144-0_6
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DOI: https://doi.org/10.1007/978-3-319-23144-0_6
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