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Information Relevance Model of Customized Privacy for IoT

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  • Wei Zhou
  • Selwyn Piramuthu

Abstract

Motivated by advances in mass customization in business practice, explosion in the number of internet of things devices, and the lack of published research on privacy differentiation and customization, we propose a contextual information relevance model of privacy. We acknowledge the existence of individual differences with respect to unique security and privacy protection needs. We observe and argue that it is unfair and socially inefficient to treat privacy in a uniform (or less differentiated) manner whereby a large proportion of the population remain unsatisfied by a common policy. Our research results provide quantifiable means to measure and evaluate the customized privacy. We show that with privacy differentiation, the social planner will observe increases in demand and overall social welfare. Our results also show that business practitioners could profit from privacy customization. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Wei Zhou & Selwyn Piramuthu, 2015. "Information Relevance Model of Customized Privacy for IoT," Journal of Business Ethics, Springer, vol. 131(1), pages 19-30, September.
    • Handle: RePEc:kap:jbuset:v:131:y:2015:i:1:p:19-30
    DOI: 10.1007/s10551-014-2248-y
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    Cited by:

    1. Scott A. Wright & Guang-Xin Xie, 2019. "Perceived Privacy Violation: Exploring the Malleability of Privacy Expectations," Journal of Business Ethics, Springer, vol. 156(1), pages 123-140, April.
    2. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    3. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong, 2021. "Drivers and Inhibitors of Internet Privacy Concern: A Multidimensional Development Theory Perspective," Journal of Business Ethics, Springer, vol. 168(3), pages 539-564, January.
    4. Lu, Yang & Papagiannidis, Savvas & Alamanos, Eleftherios, 2018. "Internet of Things: A systematic review of the business literature from the user and organisational perspectives," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 285-297.
    5. Sudesh Sheoran & Sanket Vij, 2023. "A Consumer-Centric Paradigm Shift in Business Environment with the Evolution of the Internet of Things: A Literature Review," Vision, , vol. 27(4), pages 431-442, August.
    6. Fombelle, Paul W. & Voorhees, Clay M. & Jenkins, Mason R. & Sidaoui, Karim & Benoit, Sabine & Gruber, Thorsten & Gustafsson, Anders & Abosag, Ibrahim, 2020. "Customer deviance: A framework, prevention strategies, and opportunities for future research," Journal of Business Research, Elsevier, vol. 116(C), pages 387-400.

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