Personalization vs. Privacy: Balancing Data-Driven Marketing and Consumer Trust in the Digital Economy
Sari
This study explores the intricate relationship between personalization in digital marketing, privacy concerns, perceived data transparency, and consumer trust in the context of the digital economy. Employing a qualitative research design integrated with Smart PLS analysis, the research examines how transparency mediates the effects of personalization and privacy perceptions on consumer trust. Findings indicate that personalization has a significant positive effect on consumer trust, particularly when perceived data transparency is high. Conversely, privacy concerns negatively influence transparency perceptions, which in turn diminish trust. The mediating role of transparency is found to be crucial in balancing consumer desires for personalized experiences with their need for privacy assurance. These results contribute to the theoretical discourse on the personalization–privacy paradox and offer practical insights for businesses and policymakers seeking to build sustainable, trust-based relationships with consumers in data-driven environments.
Keywords: Personalization, Privacy Concerns, Data Transparency, Consumer Trust, Digital Marketing
Teks Lengkap:
PDFReferensi
Acquisti, A., Taylor, C. R., & Wagman, L. (2016). The economics of privacy. Journal of Economic Literature, 54(2), 442–492. https://doi.org/10.1257/jel.54.2.442
Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing, 91(1), 34–49. https://doi.org/10.1016/j.jretai.2014.09.005
Ananny, M., & Crawford, K. (2018). Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. New Media & Society, 20(3), 973–989. https://doi.org/10.1177/1461444816676645
Arora, A., Bansal, S., Kandpal, C., Aswani, R., & Dwivedi, Y. K. (2020). Measuring social media influencer index—Insights from Facebook, Twitter and Instagram. Journal of Retailing and Consumer Services, 49, 86–101. https://doi.org/10.1016/j.jretconser.2019.03.012
Awad, N. F., & Krishnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Quarterly, 30(1), 13–28. https://doi.org/10.2307/25148715
Baek, T. H., & Morimoto, M. (2012). Stay away from me: Examining the determinants of consumer avoidance of personalized advertising. Journal of Advertising, 41(1), 59–76. https://doi.org/10.2753/JOA0091-3367410105
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
Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2021). Trust transfer in the sharing economy: The role of trust propensity, personal innovativeness and perceived risk. Technological Forecasting and Social Change, 167, 120688. https://doi.org/10.1016/j.techfore.2021.120688
Beldad, A., de Jong, M., & Steehouder, M. (2010). How shall I trust the faceless and the intangible? A literature review on the antecedents of online trust. Computers in Human Behavior, 26(5), 857–869. https://doi.org/10.1016/j.chb.2010.03.013
Belanger, F., & Crossler, R. E. (2011). Privacy in the digital age: A review of information privacy research in information systems. MIS Quarterly, 35(4), 1017–1041. https://doi.org/10.2307/41409971
Bies, R. J., & Moag, J. S. (1986). Interactional justice: Communication criteria of fairness. In R. J. Lewicki, B. H. Sheppard, & M. H. Bazerman (Eds.), Research on negotiation in organizations (Vol. 1, pp. 43–55). JAI Press.
Bleier, A., De Keyser, A., & Verleye, K. (2018). Customer engagement through personalization and customization. Journal of Service Management, 29(2), 206–229. https://doi.org/10.1108/JOSM-01-2018-0029
Bleier, A., & Eisenbeiss, M. (2015). The importance of trust for personalized online advertising. Journal of Retailing, 91(3), 390–409. https://doi.org/10.1016/j.jretai.2015.04.001
Boerman, S. C., Kruikemeier, S., & Zuiderveen Borgesius, F. J. (2017). Online behavioral advertising: A literature review and research agenda. Journal of Advertising, 46(3), 363–376. https://doi.org/10.1080/00913367.2017.1339368
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
Degeling, M., Utz, C., Lentzsch, C., Hosseini, H., Schaub, F., & Holz, T. (2019). We value your privacy … now take some cookies: Measuring the GDPR’s impact on web privacy. Proceedings on Privacy Enhancing Technologies, 2019(2), 92–112. https://doi.org/10.2478/popets-2019-0028
Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80. https://doi.org/10.1287/isre.1060.0080
Elo, S., Kääriäinen, M., Kanste, O., Pölkki, T., Utriainen, K., & Kyngäs, H. (2014). Qualitative content analysis: A focus on trustworthiness. SAGE Open, 4(1), 2158244014522633. https://doi.org/10.1177/2158244014522633
Goldfarb, A., & Tucker, C. E. (2012). Shifts in privacy concerns. American Economic Review, 102(3), 349–353. https://doi.org/10.1257/aer.102.3.349
Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications.
Jung, Y., Milne, G. R., & Culnan, M. J. (2020). Consumer online privacy rights: The missing link in online privacy protection. Journal of Consumer Affairs, 54(3), 1022–1047. https://doi.org/10.1111/joca.12290
Lin, H. F., Kim, M. S., & Lee, H. S. (2019). Understanding the personalization–privacy paradox in location-based mobile services: An expectancy-disconfirmation perspective. Computers in Human Behavior, 94, 95–108. https://doi.org/10.1016/j.chb.2018.12.038
Lind, E. A. (2001). Fairness heuristic theory: Justice judgments as pivotal cognitions in organizational relations. In J. Greenberg & R. Cropanzano (Eds.), Advances in organizational justice (pp. 56–88). Stanford University Press.
Lwin, M. O., Wirtz, J., & Williams, J. D. (2007). Consumer online privacy concerns and responses: A power–responsibility equilibrium perspective. Journal of the Academy of Marketing Science, 35(4), 572–585. https://doi.org/10.1007/s11747-006-0003-3
Martin, K., & Murphy, P. (2017). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 45(2), 135–155. https://doi.org/10.1007/s11747-016-0495-4
Martin, K. D., Borah, A., & Palmatier, R. W. (2017). Data privacy: Effects on customer and firm performance. Journal of Marketing, 81(1), 36–58. https://doi.org/10.1509/jm.15.0497
Meijer, A., & Grimmelikhuijsen, S. (2021). Transparency as an element of trustworthy artificial intelligence. AI & Society, 36(2), 477–485. https://doi.org/10.1007/s00146-020-00940-w
Milberg, S. J., Smith, H. J., & Burke, S. J. (2000). Information privacy: Corporate management and national regulation. Organization Science, 11(1), 35–57. https://doi.org/10.1287/orsc.11.1.35.12565
Nguyen, B., Simkin, L., Canhoto, A., & Khoa, B. T. (2022). The dark side of digital personalization: An agenda for research and practice. Journal of Business Research, 140, 608–619. https://doi.org/10.1016/j.jbusres.2021.11.055
Pentina, I., Zhang, L., & Basmanova, O. (2013). Antecedents and consequences of trust in a social media brand: A cross-cultural study of Twitter. Computers in Human Behavior, 29(4), 1546–1555. https://doi.org/10.1016/j.chb.2013.01.022
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2014). PLS-SEM: Looking back and moving forward. Long Range Planning, 47(3), 132–137. https://doi.org/10.1016/j.lrp.2014.02.008
Shin, D., & Park, Y. J. (2019). Role of fairness, accountability, and transparency in algorithmic affordance. Computers in Human Behavior, 98, 277–284. https://doi.org/10.1016/j.chb.2019.04.019
Spiekermann, S., & Korunovska, J. (2017). Feeling good by being selfish: The role of perceived privacy in shaping the effects of personalization. Electronic Markets, 27(2), 147–164. https://doi.org/10.1007/s12525-017-0255-6
Sundar, S. S., & Kim, J. (2019). Machine heuristic: When we trust computers more than humans with our personal information. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–12. https://doi.org/10.1145/3290605.3300901
Taddicken, M. (2014). The “privacy paradox” in the social web: The impact of privacy concerns, individual characteristics, and the perceived social relevance on different forms of self-disclosure. Journal of Computer-Mediated Communication, 19(2), 248–273. https://doi.org/10.1111/jcc4.12052
Tang, L., Fang, E. E., & Wang, Z. (2021). Privacy concern and consumers' acceptance of online personalized advertising: The moderating role of trust. Information & Management, 58(1), 103282. https://doi.org/10.1016/j.im.2020.103282
Tucker, C. (2014). Social networks, personalized advertising, and privacy controls. Journal of Marketing Research, 51(5), 546–562. https://doi.org/10.1509/jmr.10.0355
Urban, G. L., Amyx, C., & Lorenzon, A. (2009). Online trust: State of the art, new frontiers, and research potential. Journal of Interactive Marketing, 23(2), 179–190. https://doi.org/10.1016/j.intmar.2009.03.001
van Ooijen, I., Uittenbroek, C., & Veeckman, C. (2022). Exploring the role of digital privacy literacy in building online trust. Information, Communication & Society, 25(2), 209–226. https://doi.org/10.1080/1369118X.2020.1811793
Xu, H., Teo, H. H., Tan, B. C. Y., & Agarwal, R. (2011). The role of push–pull technology in privacy calculus: The case of location-based services. Journal of Management Information Systems, 26(3), 135–173. https://doi.org/10.2753/MIS0742-1222260305
Youn, S. (2009). Determinants of online privacy concern and its influence on privacy protection behaviors among young adolescents. Journal of Consumer Affairs, 43(3), 389–418. https://doi.org/10.1111/j.1745-6606.2009.01146.x
DOI: https://doi.org/10.37531/yum.v8i1.9010
Refbacks
- Saat ini tidak ada refbacks.

Ciptaan disebarluaskan di bawah Lisensi Creative Commons Atribusi-BerbagiSerupa 4.0 Internasional

