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Workshop on E-Business

WEB 2015: E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life pp 191–195Cite as

Privacy Calculus Theory and Its Applicability for Emerging Technologies

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 258))

Abstract

One of the most important theories to be used and modified subsequently in the IS literature is the privacy calculus theory. This calculus governs the decision-making process of individuals to predict certain behavioral outcome like, disclosing personal information, intention to use an e-commerce site, in the presence of perceived privacy risk and perceived benefits. In this paper, we seek to analyze the relevancy of privacy calculus theory for certain emerging technologies and platforms (i) Bring Your Own Device (BYOD) (ii) Internet Of Things (IoT). We identify some of the perceived privacy risks and benefits in these emerging technologies. The insights gained from this study will enable researchers to further study the behavioral intention of organizations/people to use these technologies in the presence of privacy risks and benefits.

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References

  1. Hann, I.H., Hui, K.L., Lee, S.Y.T., Png, I.P.: Overcoming online information privacy concerns: an information-processing theory approach. J. Manage. Inform. Syst. 24, 13–42 (2007)

    Article  Google Scholar 

  2. Laufer, R.S., Wolfe, M.: Privacy as a concept and a social issue: a multidimensional developmental theory. J. Soc. Issues. 33, 22–42 (1977)

    Article  Google Scholar 

  3. Youn, S.: Determinants of online privacy concern and its influence on privacy protection behaviors among young adolescents. J. Consum. Aff. 43, 389–418 (2009)

    Article  Google Scholar 

  4. Malhotra, N.K., Kim, S.S., Agarwal, J.: Internet users’ information privacy concerns (IUIPC): the construct, the scale, and a causal model. Inform. Syst. Res. 15, 336–355 (2004)

    Article  Google Scholar 

  5. Smith, H.J., Dinev, T., Xu, H.: Information privacy research: an interdisciplinary review. MIS Quart. 35, 989–1016 (2011)

    Article  Google Scholar 

  6. Gandhi, V.: Bring Your Own Device (BYOD)—Key Trends and Considerations. Industry Report, Frost & Sullivan (2013)

    Google Scholar 

  7. Explosive Internet of Things Spending to Reach $1.7 Trillion in 2020, http://www.gartner.com/newsroom/id/2905717

  8. Lebek, B., Degirmenci, K., Breitner, M. H.: Investigating the influence of security, privacy, and legal concerns on employees’ intention to use BYOD mobile devices. In: 19th Americas Conference on Information Systems, pp. 1–8. AIS Press, Atlanta (2013)

    Google Scholar 

  9. Johnson, N., Joshi, K.: The pathway to enterprise mobile readiness: analysis of perceptions, pressures, preparedness, and progression. In: 18th Americas Conference on Information Systems, pp. 1–8. AIS Press, Atlanta (2012)

    Google Scholar 

  10. Kowatsch, T., Maass, W.: Critical privacy factors of internet of things services: an empirical investigation with domain experts. In: Rahman, H., Mesquita, A., Ramos, I., Pernici, B. (eds.) MCIS 2012. LNBIP, vol. 129, pp. 200–211. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  11. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54, 2787–2805 (2010)

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Management Information Systems, Indian Institute of Management Calcutta, Kolkata, India

    Adrija Majumdar & Indranil Bose

Authors
  1. Adrija Majumdar
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  2. Indranil Bose
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Corresponding author

Correspondence to Adrija Majumdar .

Editor information

Editors and Affiliations

  1. Department of Decision and Information Sciences, Oakland University, Rochester, Michigan, USA

    Vijayan Sugumaran

  2. Virginia Commonwealth University, Richmond, Virginia, USA

    Victoria Yoon

  3. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, Illinois, USA

    Michael J. Shaw

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© 2016 Springer International Publishing Switzerland

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Majumdar, A., Bose, I. (2016). Privacy Calculus Theory and Its Applicability for Emerging Technologies. In: Sugumaran, V., Yoon, V., Shaw, M. (eds) E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life. WEB 2015. Lecture Notes in Business Information Processing, vol 258. Springer, Cham. https://doi.org/10.1007/978-3-319-45408-5_20

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