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Effects of personalized e-mail messages on privacy risk: Moderating roles of control and intimacy

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Abstract

New communication platforms have enabled firms to collect personal data on their consumers and provide more personalized services. Personalized service facilitates interpersonal communication and interactions based on consumers’ personal and preference information, and therefore constitutes a way to improve firm–customer relationships. However, such personalized services may be vulnerable to privacy issues. This study investigates the effects of personalized e-mail messages (an archetypal example of personalized service) on consumers’ risk perceptions and two moderating variables: consumers’ control and message intimacy. In three experiments, we show that an increase in the level of personalization in e-mail messages increases consumers’ privacy risk perceptions. However, giving consumers more control over their personal information and adding intimate cues to e-mail messages moderate the negative effects of personalized e-mail messages on their privacy risk perceptions. The study provides important implications for both academics and managers in developing and employing personalized service in new media communication.

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Notes

  1. In 2011, KISA (Korea Internet and Security Agency), South Korea’s government agency, established the Enforcement Decree of the Personal Information Protection Act. This act provides guidelines and principles on how firms and individuals should treat potentially sensitive personal information.

  2. The “personalized mortgage plan” used in Experiments 1 and 2 might not be relevant to undergraduate students. To find a more relevant simulation, we asked 21 students how important the following categories were (1) buying a house, (2) buying a car, (3) traveling to Europe, and (4) preparing for marriage. Marriage was the most important to them, followed by buying a house, traveling to Europe, and buying a car. Therefore, we selected a moderately involved situation (i.e., traveling to Europe) and used “personalized student loan for travel.”

References

  • Adomavicius, G., & Tuzhilin, A. (2005). Personalization technologies: a process-oriented perspective. Communications of the ACM, 48(10), 83–90.

    Article  Google Scholar 

  • Arora, N., Dreze, X., Ghose, A., Hess, J. D., Iyengar, R., King, B., et al. (2008). Putting one-to-one marketing to work: Personalization, customization, and choice. Marketing Letters, 19(3–4), 305–321.

    Article  Google Scholar 

  • Averill, J. R. (1973). Personal control over aversive stimuli and its relationship to stress. Psychological Bulletin, 80(4), 286–303.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Chellappa, R. K., & Sin, R. G. (2005). Personalization versus privacy: an empirical examination of the online consumer’s dilemma. Information Technology and Management, 6(2–3), 181–202.

    Article  Google Scholar 

  • Christofides, E., Muise, A., & Desmarais, S. (2009). Information disclosure and control on Facebook: Are they two sides of the same coin or two different processes? Cyberpsychology& Behavior, 12(3), 341–345.

    Article  Google Scholar 

  • Dholakia, R.R., Zhao, M., Dholakia, N., & Fortin, D. R. (2000). Interactivity and revisits to website: A theoretical framework. RITIM Working Paper (http://ritim.uri.edu/wp/).

  • Featherman, M. S., & Pavlov, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474.

    Article  Google Scholar 

  • Foxman, E. R., & Kilcoyne, P. (1993). Information technology, marketing practice, and consumer privacy: Ethical issues. Journal of Public Policy & Marketing, 12(1), 106–119.

    Google Scholar 

  • Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega: The International Journal of Management Science, 32(6), 407–424.

    Article  Google Scholar 

  • Goldfarb, A., & Tucker, C. E. (2011). Privacy regulation and online advertising. Management Science, 57(1), 57–71.

    Article  Google Scholar 

  • Holzwarth, M., Janiszewski, C., & Neumann, M. M. (2006). The influence of avatars on online consumer shopping behavior. Journal of Marketing, 70(4), 19–36.

    Article  Google Scholar 

  • Howard, D. J., & Kerin, R. A. (2004). The effects of personalized product recommendations on advertisement response rates: the try this. It works! technique. Journal of Consumer Psychology, 14(3), 271–279.

    Article  Google Scholar 

  • Johnson, G. J., Bruner, G. C., II, & Kumar, A. (2006). Interactivity and its facets revisited. Journal of Advertising, 35(4), 35–52.

    Article  Google Scholar 

  • Komiak, S. Y. X., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly, 30(4), 941–960.

    Google Scholar 

  • Mathwick, C., & Rigdon, E. (2004). Play, flow, and the online search experience. Journal of Consumer Research, 31(2), 324–332.

    Article  Google Scholar 

  • McMillan, S. J., & Hwang, J. S. (2002). Measures of perceived interactivity: an exploration of the role of direction of communication, user control, and time in shaping perceptions of interactivity. Journal of Advertising, 31(3), 29–41.

    Article  Google Scholar 

  • Milne, G. R., & Boza, M. E. (1999). Trust and concern in consumers’ perceptions of marketing information management practices. Journal of Interactive Marketing, 13(1), 5–24.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Montgomery, A. L., & Smith, M. D. (2009). Prospects for personalization on the Internet. Journal of Interactive Marketing, 23(2), 130–137.

    Article  Google Scholar 

  • Moon, Y. (2002). Personalization and personality: Some effects of customizing message style based on consumer personality. Journal of Consumer Psychology, 12(4), 313–326.

    Article  Google Scholar 

  • Nyshadham, E. A. (2000). Privacy policies of air travel web sites: a survey and analysis. Journal of Air Transport Management, 6(3), 143–152.

    Article  Google Scholar 

  • Pavlov, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.

    Google Scholar 

  • Rust, R. T., & Huang, M. H. (2011). Service marketing: Insights and directions. Cambridge: Marketing Science Institute.

    Google Scholar 

  • Sackmann, S., Struker, J., & Accorsi, R. (2006). Personalization in privacy aware highly dynamic systems. Communications of the ACM, 49(9), 32–38.

    Article  Google Scholar 

  • Schumann, J. H., von Wangenheim, F., & Groene, N. (2014). Targeted online advertising: Using reciprocity appeals to increase acceptance among users of free web services. Journal of Marketing, 78(1), 59–75.

    Article  Google Scholar 

  • Shen, A., & Ball, A. D. (2009). Is personalization of service always a good thing? Exploring the role of technology-mediated personalization (TMP) in service relationships. Journal of Services Marketing, 23(2), 79–91.

    Article  Google Scholar 

  • Short, J. A., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. New York: Wiley.

    Google Scholar 

  • Song, J. H., & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of Marketing, 72(2), 99–113.

    Article  Google Scholar 

  • Steuer, J. (1992). Defining virtual reality: Dimensions determining telepresence. Journal of Communication, 42(4), 73–93.

    Article  Google Scholar 

  • Surprenant, C. F., & Solomon, M. R. (1987). Predictability and personalization in the service encounter. Journal of Marketing, 51(1), 73–80.

    Google Scholar 

  • Technology Marketing Corporation (2011). Poor e-mail management is risky business, according to Oasys survey. TMCnet.com. http://technews.tmcnet.com/hosted-exchange/topics/hosted-exchange/articles/233939-poor-e-mail-management-risky-business-according-oasys.htm. Accessed 7 November 2011.

  • Thorbjørnsen, H., Supphellen, M., Nysveen, H., & Pedersen, P. E. (2002). Building brand relationships online: a comparison of two applications. Journal of Interactive Marketing, 16(3), 17–34.

    Article  Google Scholar 

  • van Doorn, J., & Hoekstra, J. C. (2013). Customization of online advertising: the role of intrusiveness. Marketing Letters, 24, 339–351.

    Article  Google Scholar 

  • Vesanen, J. (2007). What is personalization? A conceptual framework. European Journal of Marketing, 41(5/6), 409–418.

    Article  Google Scholar 

  • Weiner, R. S. (2009). New communications approaches in marketing: Issues and research directions. Journal of Interactive Marketing, 23(2), 108–117.

    Article  Google Scholar 

  • Westin, A. F. (2003). Social and political dimensions of privacy. Journal of Social Issues, 59(2), 431–453.

    Article  Google Scholar 

  • White, T. B., Zahay, D. L., Thorbjørnsen, H., & Shavitt, S. (2008). Getting too personal: Reactance to highly personalized email solicitations. Marketing Letters, 19(1), 39–50.

    Article  Google Scholar 

  • Xia, L., & Bechwati, N. N. (2008). Word of mouse: the role of cognitive personalization in online consumer reviews. Journal of Interactive Advertising, 9(1), 108–128.

    Article  Google Scholar 

  • Zahay, D., & Griffin, A. (2003). Information antecedents of personalisation and customisation in business-to-business service markets. Journal of Database Marketing, 10(3), 255–271.

    Article  Google Scholar 

Download references

Acknowledgements

The first author acknowledges that this work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2011-332-B00152).

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Correspondence to Sahangsoon Kim.

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The first author of this article is Ji Hee Song and Sahangsoon Kim is the corresponding author.

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Song, J.H., Kim, H.Y., Kim, S. et al. Effects of personalized e-mail messages on privacy risk: Moderating roles of control and intimacy. Mark Lett 27, 89–101 (2016). https://doi.org/10.1007/s11002-014-9315-0

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