The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization

Firms today use information about customers to improve service and design personalized offerings. To do this successfully, however, firms must collect consumer information. This study enhances awareness about a central paradox for firms investing in personalization; namely, that consumers who value information transparency are also less likely to participate in personalization. We examine the relationship between information technology features, specifically information transparency features, and consumer willingness to share information for online personalization. Based on a survey of over 400 online consumers, we examine the question of whether customer perceived information transparency is associated with consumer willingness to be profiled online. Our results indicate that customers who desire greater information transparency are less willing to be profiled. This result poses a dilemma for firms, as the consumers that value information transparency features most are also the consumers who are less willing to be profiled online. In order to manage this dilemma, we suggest that firms adopt a strategy of providing features that address the needs of consumers who are more willing to partake in personalization, therefore accepting that the privacy sensitive minority of consumers are unwilling to participate in personalization, despite additional privacy features.

[1]  H. Proshansky,et al.  Some analytic dimensions of privacy , 1973 .

[2]  H. J. Smith,et al.  Managing Privacy: Information Technology and Corporate America , 1994 .

[3]  H. Jeff Smith,et al.  Information Privacy: Measuring Individuals' Concerns About Organizational Practices , 1996, MIS Q..

[4]  N. L. Chervany,et al.  Initial Trust Formation in New Organizational Relationships , 1998 .

[5]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[6]  Hal G. Gueutal,et al.  A Field Experiment Comparing Information-Privacy Values, Beliefs, and Attitudes Across Several Types of Organizations , 1983 .

[7]  Mark S. Ackerman,et al.  Beyond Concern: Understanding Net Users' Attitudes About Online Privacy , 1999, ArXiv.

[8]  J. Erika von Rautenfeld Who’s zoomin’ who? , 2008 .

[9]  Barton A. Weitz,et al.  Self-Disclosure on the Web: the Impact of Privacy Policy, Reward, and Company Reputation , 2002 .

[10]  C. Goodwin Privacy: Recognition of a Consumer Right , 1991 .

[11]  A. P. Bates,et al.  Privacy—A Useful Concept? , 1964 .

[12]  C. Wortman,et al.  Some determinants of perceived control. , 1975 .

[13]  Mark Conner,et al.  The theory of planned behaviour: Assessment of predictive validity and 'perceived control , 1999 .

[14]  D. Campbell,et al.  Convergent and Discriminant Validity by the Multitrait-Multimethod Matrix,” Psychological Bulletin (2), March, pp. . , 1959 .

[15]  Ramnath K. Chellappa,et al.  Personalization versus Privacy: An Empirical Examination of the Online Consumer’s Dilemma , 2005, Inf. Technol. Manag..

[16]  Mary J. Culnan,et al.  "How Did They Get My Name?": An Exploratory Investigation of Consumer Attitudes Toward Secondary Information Use , 1993, MIS Q..

[17]  Joseph Gray Jackson,et al.  Privacy and Freedom , 1968 .

[18]  D. D. Schoenbachler,et al.  Trust and customer willingness to provide information in database-driven relationship marketing , 2002 .

[19]  George R. Milne Privacy and Ethical Issues in Database/Interactive Marketing and Public Policy: A Research Framework and Overview of the Special Issue , 2000 .

[20]  D. Campbell,et al.  Convergent and discriminant validation by the multitrait-multimethod matrix. , 1959, Psychological bulletin.

[21]  Jane Klobas,et al.  Adults Learning To Use the Internet: A Longitudinal Study of Attitudes and Other Factors Associated with Intended Internet Use , 2000 .

[22]  M. E. Gordon,et al.  Direct Mail Privacy-Efficiency Trade-offs within an Implied Social Contract Framework , 1993 .

[23]  eter Weeill Place to space , 2005 .

[24]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[25]  P. K. Kannan,et al.  The customer economics of internet privacy , 2002 .

[26]  Andrew J. Rohm,et al.  Consumer Privacy and Name Removal across Direct Marketing Channels: Exploring Opt-In and Opt-Out Alternatives , 2000 .

[27]  R. Laufer,et al.  Privacy as a Concept and a Social Issue: A Multidimensional Developmental Theory , 1977 .

[28]  M. Culnan Consumer awareness of name removal procedures: Implications for direct marketing , 1995 .

[29]  James L. Heskett,et al.  Service Breakthroughs: Changing the Rules of the Game (Прорыв в сфере услуг: изменение правил игры) , 1990 .

[30]  S. Hunt,et al.  The Commitment-Trust Theory of Relationship Marketing , 1994 .

[31]  P. Blau Exchange and Power in Social Life , 1964 .

[32]  Suzanne Rivard,et al.  Factors of success for end-user computing , 1988, CACM.

[33]  Peter M. Bentler,et al.  EQS : structural equations program manual , 1989 .

[34]  Donna L. Hoffman,et al.  Information Privacy in the Marketspace: Implications for the Commercial Uses of Anonymity on the Web , 1999, Inf. Soc..

[35]  M. Culnan,et al.  Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation , 1999 .

[36]  J. Phelps,et al.  Privacy Concerns and Consumer Willingness to Provide Personal Information , 2000 .

[37]  Albert H. Segars,et al.  An Empirical Examination of the Concern for Information Privacy Instrument , 2002, Inf. Syst. Res..

[38]  L. Kirsch The Management of Complex Tasks in Organizations: Controlling the Systems Development Process , 1996 .

[39]  John Leubsdorf,et al.  Privacy and Freedom , 1968 .

[40]  Brett Smith,et al.  Getting permission: Exploring factors affecting permission marketing , 2002 .

[41]  R. Mason Four ethical issues of the information age , 1986 .

[42]  Peter Weill,et al.  Place to Space: Migrating to Ebusiness Models , 2001 .

[43]  William R. Darden,et al.  Causal Models in Marketing , 1980 .

[44]  Patrick Barwise,et al.  Permission-based mobile advertising , 2002 .

[45]  I. Ajzen,et al.  Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior , 1991 .

[46]  Sandra J. Milberg,et al.  Information Privacy: Corporate Management and National Regulation , 2000 .