1,824
Views
7
CrossRef citations to date
0
Altmetric
Research Articles

The Role of Consumers’ Privacy Awareness in the Privacy Calculus for IoT Services

ORCID Icon & ORCID Icon
Pages 3173-3184 | Received 13 Sep 2022, Accepted 20 Feb 2023, Published online: 10 Mar 2023

References

  • Al-Jabri, I. M., Eid, M. I., & Abed, A. (2019). The willingness to disclose personal information: Trade-off between privacy concerns and benefits. Information & Computer Security, 28(2), 161–181. https://doi.org/10.1108/ICS-01-2018-0012
  • Andrade, E. B., Kaltcheva, V., & Weitz, B. (2002). Self-disclosure on the web: The impact of privacy policy, reward, and company reputation. In S. M. Broniarczyk & K. Nakamoto (Eds.), ACR North American advances (pp. 350–353). Association for Consumer Research.
  • Bansal, G., Zahedi, F. & Gefen, D. (2010). The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online. Decision Support Systems, 49(2), 138–150. https://doi.org/10.1016/j.dss.2010.01.010
  • Bansal, G., Zahedi, F. M., & Gefen, D. (2016). Do context and personality matter? Trust and privacy concerns in disclosing private information online. Information & Management, 53(1), 1–21. https://doi.org/10.1016/j.im.2015.08.001
  • Baruh, L., Secinti, E., & Cemalcilar, Z. (2017). Online privacy concerns and privacy management: A meta-analytical review. Journal of Communication, 67(1), 26–53. https://doi.org/10.1111/jcom.12276
  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238
  • Borena, B., Bélanger, F., Egigu, D. (2015). Information privacy protection practices in Africa: A review through the lens of critical social theory. In 2015 48th Hawaii International Conference on System Sciences (pp. 3490–3497). Ieee. https://doi.org/10.1109/HICSS.2015.420
  • Brecht, F., Fabian, B., Kunz, S., Müller, S. (2012). Communication anonymizers: Personality, internet privacy literacy and their influence on technology acceptance. ECIS 2012 Proceedings.
  • Calo, R. (2013). Against notice skepticism in privacy (and elsewhere). Notre Dame Law Review, 87(3), 1027–1072.
  • Chen, L., Zarifis, A., Kroenung, J. (2017). The role of trust in personal information disclosure on health-related websites. In Proceedings of the European Conference on Information Systems (ECIS) (No. 1, pp. 771–786). AISeL.
  • Cichy, P., Salge, T. O., & Kohli, R. (2021). Privacy concerns and data sharing in the internet of things: Mixed methods evidence from connected cars. MIS Quarterly, 45(4), 1863–1892. https://doi.org/10.25300/MISQ/2021/14165
  • Cranor, L. F. (2012). Necessary but not sufficient: Standardized mechanisms for privacy notice and choice. Journal on Telecommunications and High Technology Law, 10, 273.
  • Culnan, M. J., & Armstrong, P. K. (1999). Information privacy concerns, procedural fairness, and impersonal trust: An empirical investigation. Organization Science, 10(1), 104–115. https://doi.org/10.1287/orsc.10.1.104
  • Culnan, M. J., & Bies, R. J. (2003). Consumer privacy: Balancing economic and justice considerations. Journal of Social Issues, 59(2), 323–342. https://doi.org/10.1111/1540-4560.00067
  • Dienlin, T., & Metzger, M. J. (2016). An extended privacy calculus model for SNSs: Analyzing self-disclosure and self-withdrawal in a representative US sample. Journal of Computer-Mediated Communication, 21(5), 368–383. https://doi.org/10.1111/jcc4.12163
  • Dinev, T., & Hart, P. (2006a). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80. https://doi.org/10.1287/isre.1060.0080
  • Dinev, T., & Hart, P. (2006b). Internet privacy concerns and social awareness as determinants of intention to transact. International Journal of Electronic Commerce, 10(2), 7–29. https://doi.org/10.2753/JEC1086-4415100201
  • Ermakova, T., Fabian, B., Zarnekow, R. (2014). Acceptance of health clouds-a privacy calculus perspective. In Proceedings of the European Conference on Information Systems (ECIS). https://aisel.aisnet.org/ecis2014/proceedings/track09/11/.
  • Federal Trade Commission. (2015). Internet of things: Privacy & security in a connected world. FTC Staff Report.
  • Fernandes, T., & Pereira, N. (2021). Revisiting the privacy calculus: Why are consumers (really) willing to disclose personal data online? Telematics and Informatics, 65, 101717. https://doi.org/10.1016/j.tele.2021.101717
  • Folger, R., & Bies, R. J. (1989). Managerial responsibilities and procedural justice. Employee Responsibilities and Rights Journal, 2(2), 79–90. https://doi.org/10.1007/BF01384939
  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.1177/002224378101800313
  • Greenberg, J., & Folger, R. (1983). Procedural justice, participation, and the fair process effect in groups and organizations. In P. B. Paulus (Ed.), Basic group processes (pp. 235–256). Springer. https://doi.org/10.1007/978-1-4612-5578-9_10
  • Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50(1), 1–22. https://doi.org/10.1080/00273171.2014.962683
  • Hong, S., Malik, M. L., & Lee, M. K. (2016). Testing configural, metric, scalar, and latent mean invariance across genders in sociotropy and autonomy using a non-Western sample. Educational and Psychological Measurement, 63(4), 636–654. https://doi.org/10.1177/0013164403251332
  • Johnson, S. D., Blythe, J. M., Manning, M., & Wong, G. T. (2020). The impact of IoT security labelling on consumer product choice and willingness to pay. PloS one, 15(1), e0227800. https://doi.org/10.1371/journal.pone.0227800
  • Karwatzki, S., Dytynko, O., Trenz, M., & Veit, D. (2017). Beyond the personalization-privacy paradox: Privacy valuation, transparency features, and service personalization. Journal of Management Information Systems, 34(2), 369–400. https://doi.org/10.1080/07421222.2017.1334467
  • Kehr, F., Wentzel, D., Kowatsch, T., & Fleisch, E. (2015). Rethinking privacy decisions: Pre-existing attitudes, pre-existing emotional states, and a situational privacy calculus. In Twenty-Third European Conference on Information Systems. https://www.alexandria.unisg.ch/publications/224696
  • Keith, M. J., Thompson, S. C., Hale, J., Lowry, P. B., & Greer, C. (2013). Information disclosure on mobile devices: Re-examining privacy calculus with actual user behavior. International Journal of Human-Computer Studies, 71(12), 1163–1173. https://doi.org/10.1016/j.ijhcs.2013.08.016
  • Kim, D., Park, K., Park, Y., & Ahn, J. H. (2019). Willingness to provide personal information: Perspective of privacy calculus in IoT services. Computers in Human Behavior, 92, 273–281. https://doi.org/10.1016/j.chb.2018.11.022
  • Kim, M., & Choi, B. R. (2022). The impact of privacy control on users’ intention to use smart home internet of things (IoT) services. Asia Marketing Journal, 24(1), 4. https://doi.org/10.53728/2765-6500.1586
  • Koohang, A., Sargent, C. S., Nord, J. H., & Paliszkiewicz, J. (2022). Internet of Things (IoT): From awareness to continued use. International Journal of Information Management, 62, 102442. https://doi.org/10.1016/j.ijinfomgt.2021.102442
  • Kowatsch, T., & Maass, W. (2012, September). Critical privacy factors of internet of things services: An empirical investigation with domain experts. In Mediterranean Conference on Information Systems (pp. 200–211). Springer.
  • Kuo, K. M., & Talley, P. C. (2014). An empirical investigation of the privacy concerns of social network site users in Taiwan. International Journal of Scientific Knowledge, 5(2), 1–19.
  • Langheinrich, M. (2001, September). Privacy by design – Principles of privacy-aware ubiquitous systems. In International Conference on Ubiquitous Computing (pp. 273–291). Springer. https://doi.org/10.1007/3-540-45427-6_23
  • Laufer, R. S., & Wolfe, M. (1977). Privacy as a concept and a social issue: A multidimensional developmental theory. Journal of Social Issues, 33(3), 22–42. https://doi.org/10.1111/j.1540-4560.1977.tb01880.x
  • Li, H., Sarathy, R., & Xu, H. (2011). The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decision Support Systems, 51(3), 434–445. https://doi.org/10.1016/j.dss.2011.01.017
  • Li, T., & Unger, T. (2012). Willing to pay for quality personalization? Trade-off between quality and privacy. European Journal of Information Systems, 21(6), 621–642. https://doi.org/10.1057/ejis.2012.13
  • Liu, C., Marchewka, J. T., Lu, J., & Yu, C. S. (2005). Beyond concern – A privacy-trust-behavioral intention model of electronic commerce. Information & Management, 42(2), 289–304. https://doi.org/10.1016/j.im.2004.01.003
  • Lo, J., Riemenschneider, C. (2010). An examination of privacy concerns and trust entities in determining willingness to disclose personal information on a social networking site. In AMCIS 2010 Proceedings.
  • Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355. https://doi.org/10.1287/isre.1040.0032
  • Maseeh, H. I., Jebarajakirthy, C., Pentecost, R., Arli, D., Weaven, S., & Ashaduzzaman, M. (2021). Privacy concerns in e‐commerce: A multilevel meta‐analysis. Psychology & Marketing, 38(10), 1779–1798. https://doi.org/10.1002/mar.21493
  • Mcknight, D. H., Lankton, N., Tripp, J. (2011, January). Social networking information disclosure and continuance intention: A disconnect. In 2011 44th Hawaii International Conference on System Sciences (pp. 1–10). IEEE. https://doi.org/10.1109/Hicss.2011.379
  • Meinert, D. B., Peterson, D. K., Criswell, J. R., & Crossland, M. D. (2006). Privacy policy statements and consumer willingness to provide personal information. Journal of Electronic Commerce in Organizations (JECO), 4(1), 1–17. https://doi.org/10.4018/jeco.2006010101
  • Milne, G. R., & Gordon, M. E. (1993). Direct mail privacy-efficiency trade-offs within an implied social contract framework. Journal of Public Policy & Marketing, 12(2), 206–215. https://doi.org/10.1177/074391569101200206
  • Morrison, C., Marschark, M., Sarchet, T., Convertino, C. M., Borgna, G., & Dirmyer, R. (2013). Deaf students’ metacognitive awareness during language comprehension. European Journal of Special Needs Education, 28(1), 78–90. https://doi.org/10.1080/08856257.2012.749610
  • Mousavizadeh, M., Kim, D. J., & Chen, R. (2016). Effects of assurance mechanisms and consumer concerns on online purchase decisions: An empirical study. Decision Support Systems, 92, 79–90. https://doi.org/10.1016/j.dss.2016.09.011
  • Nam, C., Song, C., Park, E. L., & Ik, C. (2006). Consumers’ privacy concerns and willingness to provide marketing-related personal information online. In S. M. Broniarczyk & K. Nakamoto (Eds.), ACR North American Advances (pp. 212–217). Association for Consumer Research.
  • Nguyen, D. H., Kobsa, A., Hayes, G. R. (2008, September). An empirical investigation of concerns of everyday tracking and recording technologies. In Proceedings of the 10th International Conference on Ubiquitous Computing (pp. 182–191). https://doi.org/10.1145/1409635.1409661
  • Norberg, P. A., Horne, D. R., & Horne, D. A. (2007). The privacy paradox: Personal information disclosure intentions versus behaviors. Journal of Consumer Affairs, 41(1), 100–126. https://doi.org/10.1111/j.1745-6606.2006.00070.x
  • Pal, D., Funilkul, S., & Zhang, X. (2021). Should I disclose my personal data? Perspectives from Internet of Things services. IEEE Access. 9, 4141–4157. https://doi.org/10.1109/ACCESS.2020.3048163
  • Phelps, J., Nowak, G., & Ferrell, E. (2000). Privacy concerns and consumer willingness to provide personal information. Journal of Public Policy & Marketing, 19(1), 27–41. https://doi.org/10.1509/jppm.19.1.27.16941
  • Princi, E., & Krämer, N. C. (2020). Out of control–privacy calculus and the effect of perceived control and moral considerations on the usage of IoT healthcare devices. Frontiers in Psychology, 11, 582054. https://doi.org/10.3389/fpsyg.2020.582054
  • Rigdon, E. E. (1996). CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling. Structural Equation Modeling, 3(4), 369–379. https://doi.org/10.1080/10705519609540052
  • Rothchild, J. A. (2017). Against notice and choice: The manifest failure of the proceduralist paradigm to protect privacy online (or anywhere else). Cleveland State Law Revie, 66, 559.
  • Schomakers, E. M., Lidynia, C., & Ziefle, M. (2022). The role of privacy in the acceptance of smart technologies: Applying the privacy calculus to technology acceptance. International Journal of Human–Computer Interaction, 38(13), 1276–1289. https://doi.org/10.1080/10447318.2021.1994211
  • Sloan, R. H., & Warner, R. (2014). Beyond notice and choice: Privacy, norms, and consent. Journal of High Technology Law, 14, 370. https://doi.org/10.2307/249477
  • Smith, H. J., Dinev, T., & Xu, H. (2011). Information privacy research: An interdisciplinary review. MIS Quarterly, 35(4), 989–1015. https://doi.org/10.2307/41409970
  • Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: Measuring individuals’ concerns about organizational practices. MIS Quarterly, 20(2), 167–196. https://doi.org/10.2307/249477
  • Solove, D. J. (2012). Introduction: Privacy self-management and the consent dilemma. Harvard Law Review, 126, 1880.
  • Spiekermann, S., Grossklags, J., Berendt, B. (2001, October). E-privacy in 2nd generation E-commerce: Privacy preferences versus actual behavior. In Proceedings of the 3rd ACM Conference on Electronic Commerce (pp. 38–47). https://doi.org/10.1145/501158.501163
  • Steenkamp, J. B. E., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25(1), 78–107. https://doi.org/10.1086/209528
  • Sun, Y., Wang, N., Shen, X. L., & Zhang, J. X. (2015). Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences. Computers in Human Behavior, 52, 278–292. https://doi.org/10.1016/j.chb.2015.06.006
  • Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38(1), 1–10. https://doi.org/10.1007/BF02291170
  • Utz, C., Degeling, M., Fahl, S., Schaub, F., Holz, T. (2019). November). (Un)informed consent: Studying GDPR consent notices in the field. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security (pp. 973–990). https://doi.org/10.1145/3319535.3354212
  • Wang, S., Beatty, S. E., & Foxx, W. (2004). Signaling the trustworthiness of small online retailers. Journal of Interactive Marketing, 18(1), 53–69. https://doi.org/10.1002/dir.10071
  • Wang, Y., Min, Q., & Han, S. (2016). Understanding the effects of trust and risk on individual behavior toward social media platforms: A meta-analysis of the empirical evidence. Computers in Human Behavior, 56, 34–44. https://doi.org/10.1016/j.chb.2015.11.011
  • West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with nonnormal variables: Problems and remedies. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 56–75). Sage Publications, Inc.
  • Wilson, D., Valacich, J. S. (2012). Unpacking the privacy paradox: Irrational decision-making within the privacy calculus. In 33rd International Conference on Information Systems (pp. 1–11).
  • Wu, K. W., Huang, S. Y., Yen, D. C., & Popova, I. (2012). The effect of online privacy policy on consumer privacy concern and trust. Computers in Human Behavior, 28(3), 889–897. https://doi.org/10.1016/j.chb.2011.12.008
  • Xu, H., & Gupta, S. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services. Electronic Markets, 19(2–3), 137–149. https://doi.org/10.1007/s12525-009-0012-4
  • Xu, Y., Wang, D. (2022, November). Understanding the willingness to share building data by a social study based on privacy calculus theory. In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (pp. 59–68). https://doi.org/10.1145/3563357.3564059
  • Yun, H., Lee, G., & Kim, D. J. (2014). A meta-analytic review of empirical research on online information privacy concerns: Antecedents, outcomes, and moderators. In 35th International Conference on Information Systems: Building a Better World through Information Systems, ICIS 2014. Association for Information Systems.
  • Zhu, M., Wu, C., Huang, S., Zheng, K., Young, S. D., Yan, X., & Yuan, Q. (2021). Privacy paradox in mHealth applications: An integrated elaboration likelihood model incorporating privacy calculus and privacy fatigue. Telematics and Informatics, 61, 101601. https://doi.org/10.1016/j.tele.2021.101601