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Effects of perceived risks and benefits in the formation of the consumption privacy paradox: a study of the use of wearables in people practicing physical activities

Author

Listed:
  • Renata Benigna Gonçalves

    (Escola Superior de Propaganda e Marketing (ESPM))

  • Júlio César Bastos Figueiredo

    (Escola Superior de Propaganda e Marketing (ESPM))

Abstract

This work aims to analyze the formation of the privacy paradox, defined as the difference between the declared intention about privacy and the natural behavior, in the consumption of wearables among the practitioners of physical activities by evaluating the practitioners' risks and benefits. Wearables are electronics that combine features of wearability and intelligence. It also analyzes the influence of the privacy paradox in wearing wearables and the moderation effects of demographic variables in forming the paradox. A quantitative approach based on descriptive research was used to collect questionnaires and subsequent descriptive and variance analyses. The results show that the frequency of physical activities, wearable functionality, monthly income, and sex influence paradoxical behavior. Furthermore, evidence shows that the privacy paradox influences the habit, with signs of reducing users' paradoxical situation. As a contribution, this work brings a more general formulation of the privacy paradox metric. The metric is formed of the latent dimensions "performance expectation", "hedonic motivation", and "privacy risk". This metrical composition in three latent perspectives allows obtaining a view of the contribution of each perspective on paradoxical behavior for different classes of consumers. In the managerial aspect, it is suggested that companies, through metric, can identify the paradoxical use of their products and identify specific dimensions to be worked by communication actions.

Suggested Citation

  • Renata Benigna Gonçalves & Júlio César Bastos Figueiredo, 2022. "Effects of perceived risks and benefits in the formation of the consumption privacy paradox: a study of the use of wearables in people practicing physical activities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1485-1499, September.
  • Handle: RePEc:spr:elmark:v:32:y:2022:i:3:d:10.1007_s12525-022-00541-3
    DOI: 10.1007/s12525-022-00541-3
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    References listed on IDEAS

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    1. Eva-Maria Schomakers & Chantal Lidynia & Martina Ziefle, 2020. "All of me? Users’ preferences for privacy-preserving data markets and the importance of anonymity," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 649-665, September.
    2. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    3. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.
    4. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    5. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    6. Henner Gimpel & Dominikus Kleindienst & Daniela Waldmann, 2018. "The disclosure of private data: measuring the privacy paradox in digital services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 475-490, November.
    7. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    8. Jan Hendrik Betzing & Matthias Tietz & Jan Brocke & Jörg Becker, 2020. "The impact of transparency on mobile privacy decision making," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 607-625, September.
    9. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    10. Jan Hendrik Betzing & Matthias Tietz & Jan Brocke & Jörg Becker, 2020. "Correction to: The impact of transparency on mobile privacy decision making," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 627-627, September.
    11. 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.
    12. Mary J. Culnan & Pamela K. Armstrong, 1999. "Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation," Organization Science, INFORMS, vol. 10(1), pages 104-115, February.
    13. Catherine L. Anderson & Ritu Agarwal, 2011. "The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information," Information Systems Research, INFORMS, vol. 22(3), pages 469-490, September.
    14. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    15. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
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    More about this item

    Keywords

    Privacy paradox; Paradox scale; Metric; Paradoxical consumption; Wearables;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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