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On the efficacy of smartphone security: A critical analysis of modifications in business students’ practices over time

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  • Jones, Beth H.
  • Chin, Amita Goyal

Abstract

Perhaps no prior technology has more expediently and more ubiquitously usurped the landscape than mobile technology. Smartphones are used for social interactions, financial transactions, to increase employee productivity, and in academic pursuits. Smartphones have established omnipresence on college campuses, where students are using them for all aspects of their daily life. With such significant usage, concerns for the security of data and personal information become paramount. This study employs a survey instrument to assess undergraduate student use of smartphone security practices in 2014, and compares this behavior to results from the same survey instrument when administered in 2011. Results indicate a worrisome trend, for while more students have smartphones and a higher percentage use them for financial purposes, risky behavior continues and, in several cases, has worsened. When good security practices are not followed, their efficacy is diminished and users are left more vulnerable than ever.

Suggested Citation

  • Jones, Beth H. & Chin, Amita Goyal, 2015. "On the efficacy of smartphone security: A critical analysis of modifications in business students’ practices over time," International Journal of Information Management, Elsevier, vol. 35(5), pages 561-571.
    • Handle: RePEc:eee:ininma:v:35:y:2015:i:5:p:561-571
    DOI: 10.1016/j.ijinfomgt.2015.06.003
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    References listed on IDEAS

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    1. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    2. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    3. Kaplan, Andreas M., 2012. "If you love something, let it go mobile: Mobile marketing and mobile social media 4x4," Business Horizons, Elsevier, vol. 55(2), pages 129-139.
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    Cited by:

    1. Baillette, Paméla & Barlette, Yves & Leclercq-Vandelannoitte, Aurélie, 2018. "Bring your own device in organizations: Extending the reversed IT adoption logic to security paradoxes for CEOs and end users," International Journal of Information Management, Elsevier, vol. 43(C), pages 76-84.
    2. Chin, Amita Goyal & Harris, Mark A. & Brookshire, Robert, 2018. "A bidirectional perspective of trust and risk in determining factors that influence mobile app installation," International Journal of Information Management, Elsevier, vol. 39(C), pages 49-59.
    3. Wang, Tien & Duong, Trong Danh & Chen, Charlie C., 2016. "Intention to disclose personal information via mobile applications: A privacy calculus perspective," International Journal of Information Management, Elsevier, vol. 36(4), pages 531-542.
    4. Amita Goyal Chin & Mark A. Harris & Robert Brookshire, 2022. "An Empirical Investigation of Intent to Adopt Mobile Payment Systems Using a Trust-based Extended Valence Framework," Information Systems Frontiers, Springer, vol. 24(1), pages 329-347, February.

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