The Dark Side of Privacy Nudging - An Experimental Study in the Context of a Digital Work Environment

In digital environments, individuals tend to share disproportionally more information than in face-to-face communication. Critically, disclosing personal information can yield risks such as unwanted monitoring or discrimination. Privacy nudging is a promising approach to get users to disclose less personal information. In this work, we tested two nudges corresponding to the issue of personal privacy. A framing nudge conveys an intensive message and a social nudge provides social cues. To empirically test these nudges, we evaluated an experiment with 223 participants. The results indicate that privacy nudges negatively influence information disclosure behavior. The social nudge was perceived as a threat. The framing nudge directly affected negative emotions and the social nudge indirectly. Perceived threat and negative emotions have a significant negative effect on information disclosure intention. With this research, we contribute to the discussion of what drives privacy nudge effectiveness and influences information disclosure behavior in digital work environments.

[1]  D. Lupton,et al.  Risk and emotion: towards an alternative theoretical perspective , 2013 .

[2]  Melissa L. Finucane,et al.  Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[3]  Yang Wang,et al.  A field trial of privacy nudges for facebook , 2014, CHI.

[4]  Rathindra Sarathy,et al.  The role of affect and cognition on online consumers' decision to disclose personal information to unfamiliar online vendors , 2011, Decis. Support Syst..

[5]  Christiane Lehrer,et al.  Digital Nudging: Altering User Behavior in Digital Environments , 2017, Wirtschaftsinformatik.

[6]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[7]  Sven Laumer,et al.  Understanding Privacy Threat Appraisal and Coping Appraisal Through Mindfulness , 2017, ICIS.

[8]  Bianka Breyer,et al.  Deutsche Version der Positive and Negative Affect Schedule PANAS (GESIS Panel) , 2016 .

[9]  Prashanth U. Nyer,et al.  The role of emotions in marketing , 1999 .

[10]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[11]  Cass R. Sunstein,et al.  Nudges that fail , 2017, Behavioural Public Policy.

[12]  Yang Wang,et al.  Nudges for Privacy and Security , 2017, ACM Comput. Surv..

[13]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[14]  A. Joinson Self‐disclosure in computer‐mediated communication: The role of self‐awareness and visual anonymity , 2001 .

[15]  Ralf Schwarzer,et al.  Modelando el cambio en el comportamiento de salud: Cómo predecir y modificar la adopción y el mantenimiento de comportamientos de salud/Modeling Health Behavior Change: How to Predict and Modify the Adoption and Maintenance of Health Behaviors , 2009 .

[16]  David Watson,et al.  The PANAS-X manual for the positive and negative affect schedule , 1994 .

[17]  Chong Wang,et al.  Socially Nudged: A Quasi-Experimental Study of Friends' Social Influence in Online Product Ratings , 2018, Inf. Syst. Res..

[18]  Jan vom Brocke,et al.  Digital Nudging , 2016, Business & Information Systems Engineering.

[19]  Noah J. Goldstein,et al.  Social influence: compliance and conformity. , 2004, Annual review of psychology.

[20]  Princely Ifinedo,et al.  Understanding information systems security policy compliance: An integration of the theory of planned behavior and the protection motivation theory , 2012, Comput. Secur..

[21]  Bo Zhang,et al.  Privacy Nudges for Mobile Applications: Effects on the Creepiness Emotion and Privacy Attitudes , 2016, CSCW.

[22]  Marko Sarstedt,et al.  An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .

[23]  Heng Xu,et al.  Information Privacy Research: An Interdisciplinary Review , 2011, MIS Q..

[24]  Chris Arney Nudge: Improving Decisions about Health, Wealth, and Happiness , 2015 .

[25]  Cassandra Artman Collier Nudge Theory in Information Systems Research A Comprehensive Systematic Review of the Literature , 2018, Academy of Management Proceedings.

[26]  A. Bencsik,et al.  Y and Z Generations at Workplaces , 2016 .

[27]  Robin L. Wakefield The influence of user affect in online information disclosure , 2013, J. Strateg. Inf. Syst..

[28]  Herman Aguinis,et al.  Best Practice Recommendations for Designing and Implementing Experimental Vignette Methodology Studies , 2014 .

[29]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[30]  Menno D. T. de Jong,et al.  The privacy paradox - Investigating discrepancies between expressed privacy concerns and actual online behavior - A systematic literature review , 2017, Telematics Informatics.

[31]  P. Valkenburg,et al.  Precursors and Underlying Processes of Adolescents' Online Self-Disclosure: Developing and Testing an “Internet-Attribute-Perception” Model , 2006 .

[32]  R. Cialdini Influence: The Psychology of Persuasion , 1993 .

[33]  Rathindra Sarathy,et al.  The Role of Emotions in Shaping Consumers’ Privacy Beliefs about Unfamiliar Online Vendors , 2008 .

[34]  A. Westin Social and Political Dimensions of Privacy , 2003 .

[35]  B. Parkinson,et al.  Emotion and motivation , 1995 .

[36]  Merrill Warkentin,et al.  Fear Appeals and Information Security Behaviors: An Empirical Study , 2010, MIS Q..

[37]  Stephen M. Johnson,et al.  The affect heuristic in judgments of risks and benefits , 2000 .

[38]  A. Joinson,et al.  Self-disclosure, Privacy and the Internet , 2009 .

[39]  Nils Backhaus,et al.  Kontextsensitive Assistenzsysteme und Überwachung am Arbeitsplatz: Ein meta-analytisches Review zur Auswirkung elektronischer Überwachung auf Beschäftigte , 2019, Zeitschrift für Arbeitswissenschaft.

[40]  Joseph S. Valacich,et al.  How Is Your User Feeling? Inferring Emotion Through Human-Computer interaction Devices , 2017, MIS Q..

[41]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[42]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[43]  L. Tidwell,et al.  Computer-Mediated Communication Effects on Disclosure, Impressions, and Interpersonal Evaluations: Getting to Know One Another a Bit at a Time , 2002 .