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Determinants of Intention to Participate in Corporate BYOD-Programs: The Case of Digital Natives

Author

Listed:
  • Andy Weeger

    (Neu-Ulm University of Applied Sciences)

  • Xuequn Wang

    (Murdoch University)

  • Heiko Gewald

    (Neu-Ulm University of Applied Sciences)

  • Mahesh Raisinghani

    (Texas Woman’s University)

  • Otavio Sanchez

    (Fundacao Getulio Vargas – EAESP/FGV)

  • Gerald Grant

    (Carleton University)

  • Siddhi Pittayachawan

    (RMIT University)

Abstract

Corporations continue to see a growing demand for Bring-Your-Own-Device (BYOD) programs which allow employees to use their own computing devices for business purposes. This study analyses the demand of digital natives for such programs when entering the workforce and how they perceive the benefits and risk associated with BYOD. A theoretical model building on net valence considerations, technology adoption theories and perceived risk theory is proposed and tested. International students from five countries in their final year and with relevant work experience were surveyed. The results show that the intention to enroll in a BYOD program is primarily a function of perceived benefits while risks are widely ignored. Only safety and performance risks proved to contribute significantly to the overall perceived risk. The knowledge acquired from this study is particularly beneficial to IT executives as a guide to deciding whether and how to set up or adjust corporate BYOD initiatives.

Suggested Citation

  • Andy Weeger & Xuequn Wang & Heiko Gewald & Mahesh Raisinghani & Otavio Sanchez & Gerald Grant & Siddhi Pittayachawan, 2020. "Determinants of Intention to Participate in Corporate BYOD-Programs: The Case of Digital Natives," Information Systems Frontiers, Springer, vol. 22(1), pages 203-219, February.
    • Handle: RePEc:spr:infosf:v:22:y:2020:i:1:d:10.1007_s10796-018-9857-4
    DOI: 10.1007/s10796-018-9857-4
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    2. Roozmehr Safi & Glenn J. Browne, 2023. "Detecting Cybersecurity Threats: The Role of the Recency and Risk Compensating Effects," Information Systems Frontiers, Springer, vol. 25(3), pages 1277-1292, June.

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