Nudging Users Into Online Verification: The Case of Carsharing Platforms

With the emergence of new technologies, user transactions have become increasingly digital and thus anonymous. As a result, online platforms started offering new user identity verification mechanisms including online verification. However, convincing users to verify online represents a challenge as benefits must be carefully balanced with resulting risks. We combine Toulmin’s model of argumentation with Regulatory Focus Theory to develop communication arguments to nudge users into online verification. Two argument types consisting of both claim and claim-supporting data are employed: a promotion-focus argument conveying convenience and a prevention-focus argument aiming to reduce privacy concerns. In a controlled experiment, we find that both claims significantly increase online verification conversion rate if supported by data. The effect of a prevention-focus claim is stronger than that of a promotion-focus claim. However, if a prevention-focus claim is not supported by data, it actually decreases online verification rate compared to if no claim is shown.

[1]  E. Higgins Promotion and Prevention: Regulatory Focus as A Motivational Principle , 1998 .

[2]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[3]  John O. Summers,et al.  Checking the Success of Manipulations in Marketing Experiments , 1986 .

[4]  Guohua Wu,et al.  The effects of Web assurance seals on consumers' initial trust in an online vendor: A functional perspective , 2010, Decis. Support Syst..

[5]  Mun Y. Yi,et al.  An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology , 2013, Inf. Manag..

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

[7]  Guangying Hua,et al.  An Experimental Investigation of Online Banking Adoption in China , 2008, AMCIS.

[8]  M. Culnan Protecting Privacy Online: Is Self-Regulation Working? , 2000 .

[9]  Hang Zhang Trust Promoting Seals in Electronic Markets: Impact on Online Shopping Decisions , 2005 .

[10]  David M. Boush,et al.  Trustmarks, objective-source ratings, and implied investments in advertising: Investigating online trust and the context-specific nature of internet signals , 2006 .

[11]  Ali Sunyaev,et al.  Moving in the Right Direction?: Mapping literature on Cloud Service Certifications' Outcomes with Practitioners' Perceptions , 2014, ECIS.

[12]  Dan J. Kim,et al.  Self-Perception-Based Versus Transference-Based Trust Determinants in Computer-Mediated Transactions: A Cross-Cultural Comparison Study , 2008, J. Manag. Inf. Syst..

[13]  A. Acquisti,et al.  Reputation as a sufficient condition for data quality on Amazon Mechanical Turk , 2013, Behavior Research Methods.

[14]  Alexander Benlian,et al.  Promotional Tactics for Online Viral Marketing Campaigns: How Scarcity and Personalization Affect Seed Stage Referrals , 2015 .

[15]  E. Higgins,et al.  Expectancy x value effects: regulatory focus as determinant of magnitude and direction. , 1997, Journal of personality and social psychology.

[16]  Claire Gauzente WEB MERCHANTS' PRIVACY AND SECURITY STATEMENTS: HOW REASSURING ARE THEY FOR CONSUMERS? A TWO-SIDED APPROACH , 2004 .

[17]  Dan J. Kim,et al.  Effects of assurance mechanisms and consumer concerns on online purchase decisions: An empirical study , 2016, Decis. Support Syst..

[18]  Angela Y. Lee,et al.  Bringing the frame into focus: the influence of regulatory fit on processing fluency and persuasion. , 2004, Journal of personality and social psychology.

[19]  Jooyoung Kim,et al.  Third-party Privacy Certification as an Online Advertising Strategy: An Investigation of the Factors Affecting the Relationship between Third-party Certification and Initial Trust , 2011 .

[20]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[21]  Dan J. Kim,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2019 .

[22]  Cass R. Sunstein,et al.  Nudging: A Very Short Guide , 2014 .

[23]  Syed Wafa,et al.  The Effect of Perceived Risk on the Intention to Use E-commerce: The Case of Algeria , 2009 .

[24]  Alexander Benlian,et al.  Web Personalization Cues and Their Differential Effects on User Assessments of Website Value , 2015, J. Manag. Inf. Syst..

[25]  Jong-Youn Rha,et al.  Personalization-privacy paradox and consumer conflict with the use of location-based mobile commerce , 2016, Comput. Hum. Behav..

[26]  Thomas Hess,et al.  The role of software updates in information systems continuance - An experimental study from a user perspective , 2016, Decis. Support Syst..

[27]  Tara S. Behrend,et al.  The viability of crowdsourcing for survey research , 2011, Behavior research methods.

[28]  Naresh K. Malhotra,et al.  Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model , 2004, Inf. Syst. Res..

[29]  Peter Buxmann,et al.  Understanding the Sharing Economy: The Role of Response to Negative Reviews in the Peer-to-peer Accommodation Sharing Network , 2015, ECIS.

[30]  Welch Bl THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED , 1947 .

[31]  Wee Kim Wee Causes and consequences of consumer online privacy concern , 2007 .

[32]  Michael D. Buhrmester,et al.  Amazon's Mechanical Turk , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[33]  Daniel G. Goldstein,et al.  Defaults and Donation Decisions , 2004, Transplantation.

[34]  Thijs Broekhuizen,et al.  Susceptibility to and impact of interpersonal influence in an investment context , 2009 .

[35]  H. Raghav Rao,et al.  Information Assurance in B2C Websites for Information Goods/Services , 2004, Electron. Mark..

[36]  Insu Park,et al.  Assurance Seals, On-Line Customer Satisfaction, and Repurchase Intention , 2010, Int. J. Electron. Commer..

[37]  Kathryn M. Kimery,et al.  THIRD-PARTY ASSURANCES: MAPPING THE ROAD TO TRUST IN E-RETAILING , 2002 .

[38]  Moez Limayem,et al.  Data Collection in the Digital Age: Innovative Alterantives to Student Samples , 2014, MIS Q..

[39]  A. Tversky,et al.  The simulation heuristic , 1982 .

[40]  E. Ert,et al.  Trust and reputation in the sharing economy: The role of personal photos in Airbnb , 2015 .

[41]  Varun Grover,et al.  The Role of System Trust in Business-to-Consumer Transactions , 2003, J. Manag. Inf. Syst..

[42]  Manon Arcand,et al.  The impact of reading a web site's privacy statement on perceived control over privacy and perceived trust , 2007, Online Inf. Rev..

[43]  David Gefen,et al.  Efficacy of Privacy Assurance Mechanisms in the Context of Disclosing Health Information Online , 2008, AMCIS.

[44]  Paul A. Pavlou,et al.  Building Effective Online Marketplaces with Institution-Based Trust , 2004, Inf. Syst. Res..

[45]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[46]  L. Richard Ye,et al.  The Impact of Explanation Facilities in User Acceptance of Expert System Advice , 1995, MIS Q..

[47]  Gavan J. Fitzsimons,et al.  The Placebo Effect in Marketing: Sometimes you Just Have to Want it to Work , 2005 .

[48]  Oded Nov,et al.  Informing and Improving Retirement Saving Performance using Behavioral Economics Theory-driven User Interfaces , 2015, CHI.

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

[50]  David Gefen,et al.  The role of privacy assurance mechanisms in building trust and the moderating role of privacy concern , 2015, Eur. J. Inf. Syst..

[51]  Hamid R. Nemati,et al.  Do Privacy Statements Really Work? The Effect of Privacy Statements and Fair Information Practices on Trust and Perceived Risk in E-Commerce , 2009, Int. J. Inf. Secur. Priv..

[52]  Helmut Krcmar,et al.  Using the Default Option Bias to Influence Decision Making While Driving , 2016, Int. J. Hum. Comput. Interact..

[53]  Chanhoo Song,et al.  Consumers' Privacy Concerns and Willingness to Provide Marketing-Related Personal Information Online , 2006 .

[54]  Daniel G. Goldstein,et al.  Beyond nudges: Tools of a choice architecture , 2012 .

[55]  Jochen Wirtz,et al.  Causes and consequences of consumer online privacy concern , 2007 .

[56]  Rongrong Zhou,et al.  Promotion and Prevention Across Mental Accounts: When Financial Products Dictate Consumers' Investment Goals , 2004 .

[57]  Izak Benbasat,et al.  The Effects of Trust-Assuring Arguments on Consumer Trust in Internet Stores: Application of Toulmin's Model of Argumentation , 2006, Inf. Syst. Res..

[58]  P. Lunt,et al.  Privacy versus willingness to disclose in e-commerce exchanges: The effect of risk awareness on the relative role of trust and control , 2004 .

[59]  Alexander Benlian,et al.  Buying under Pressure: Purchase Pressure Cues and their Effects on Online Buying Decisions , 2015 .

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

[61]  Vijayan Sugumaran,et al.  Web assurance seal services, trust and consumers’ concerns: an investigation of e-commerce transaction intentions across two nations , 2016, Eur. J. Inf. Syst..

[62]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

[63]  J. Mazzon,et al.  Adoption of internet banking: proposition and implementation of an integrated methodology approach , 2007 .

[64]  Mun Y. Yi,et al.  User disposition and extent of Web utilization: A trait hierarchy approach , 2012, Int. J. Hum. Comput. Stud..

[65]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[66]  Ewald A. Kaluscha,et al.  Empirical research in on-line trust: a review and critical assessment , 2003, Int. J. Hum. Comput. Stud..