IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v32y2022i3d10.1007_s12525-022-00541-3.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-022-00541-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12525-022-00541-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tawfiq Alashoor & Mark Keil & H. Jeff Smith & Allen R. McConnell, 2023. "Too Tired and in Too Good of a Mood to Worry About Privacy: Explaining the Privacy Paradox Through the Lens of Effort Level in Information Processing," Information Systems Research, INFORMS, vol. 34(4), pages 1415-1436, December.
    2. Huseyin Cavusoglu & Tuan Q. Phan & Hasan Cavusoglu & Edoardo M. Airoldi, 2016. "Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook," Information Systems Research, INFORMS, vol. 27(4), pages 848-879, December.
    3. Hung-Pin Shih & Wuqiang Liu, 2023. "Beyond the trade-offs on Facebook: the underlying mechanisms of privacy choices," Information Systems and e-Business Management, Springer, vol. 21(2), pages 353-387, June.
    4. Xu, Zhuo, 2019. "An empirical study of patients' privacy concerns for health informatics as a service," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 297-306.
    5. Morlok, Tina & Matt, Christian & Hess, Thomas, 2017. "Privatheitsforschung in den Wirtschaftswissenschaften: Entwicklung, Stand und Perspektiven," Working Papers 1/2017, University of Munich, Munich School of Management, Institute for Information Systems and New Media.
    6. Krafft, Manfred & Arden, Christine M. & Verhoef, Peter C., 2017. "Permission Marketing and Privacy Concerns — Why Do Customers (Not) Grant Permissions?," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 39-54.
    7. Crystal Reeck & Xue Guo & Angelika Dimoka & Paul A. Pavlou, 2024. "Uncovering the Neural Processes of Privacy: A Neurally Informed Behavioral Intervention to Protect Information Privacy," Information Systems Research, INFORMS, vol. 35(2), pages 727-746, June.
    8. Yunxiang Zhang & Xianmin Song & Pengfei Tao & Haitao Li & Tianshu Zhan & Qian Cao, 2023. "Investigating Factors for Travelers’ Parking Behavior Intentions in Changchun, China, under the Influence of Smart Parking Systems," Sustainability, MDPI, vol. 15(15), pages 1-16, July.
    9. Beke, Frank T. & Eggers, Felix & Verhoef, Peter C. & Wieringa, Jaap E., 2022. "Consumers’ privacy calculus: The PRICAL index development and validation," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 20-41.
    10. Sk Abu Khalek & Chandan Kumar Behera & Tamal Samanta, 2024. "An integrated framework for understanding information disclosure behaviour in mobile payment services," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 1077-1098, September.
    11. Anna D’Annunzio & Elena Menichelli, 2022. "A market for digital privacy: consumers’ willingness to trade personal data and money," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 571-598, September.
    12. Shaw, Norman & Sergueeva, Ksenia, 2019. "The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value," International Journal of Information Management, Elsevier, vol. 45(C), pages 44-55.
    13. Tseng, Hsiao-Ting & Ibrahim, Fahad & Hajli, Nick & Nisar, Tahir M. & Shabbir, Haseeb, 2022. "Effect of privacy concerns and engagement on social support behaviour in online health community platforms," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    14. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 2018. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 20(1), pages 91-110, February.
    15. Grace Fox & Tabitha L. James, 2021. "Toward an Understanding of the Antecedents to Health Information Privacy Concern: A Mixed Methods Study," Information Systems Frontiers, Springer, vol. 23(6), pages 1537-1562, December.
    16. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang & Lee, Cheng fang, 2022. "Adoption model of healthcare wearable devices," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    17. Sun, Shiwei & Zhang, Jin & Zhu, Yiwei & Jiang, Mian & Chen, Shuhui, 2022. "Exploring users' willingness to disclose personal information in online healthcare communities: The role of satisfaction," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    18. Fast, Victoria & Sachs, Nikolai & Schnurr, Daniel, 2021. "Privacy Decision-Making in Digital Markets: Eliciting Individuals' Preferences for Transparency," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238020, International Telecommunications Society (ITS).
    19. Nils Koester & Patrick Cichy & David Antons & Torsten Oliver Salge, 2022. "Perceived privacy risk in the Internet of Things: determinants, consequences, and contingencies in the case of connected cars," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2333-2355, December.
    20. Gregor Dorfleitner & Lars Hornuf & Julia Kreppmeier, 2021. "Promise not Fulfilled: FinTech Data Privacy, and the GDPR," CESifo Working Paper Series 9359, CESifo.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:elmark:v:32:y:2022:i:3:d:10.1007_s12525-022-00541-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.