Examining help requests on social networking sites: Integrating privacy perception and privacy calculus perspectives

Abstract Social networking sites (SNSs) are increasingly used for brand marketing via help-request campaigns that rely on influential users in networks. While help-request campaigns significantly foster interactions, they also threaten users’ information privacy. Drawing on perception transfer theory and the privacy calculus perspective, this study investigated the internal mechanism of users’ behavioral responses to help-request campaigns. Specifically, this study examined the effects of privacy assurance and relationship closeness with senders on recipients’ participation behaviors through recipients’ privacy assessments. The results of a lab-controlled experiment indicated that privacy assurance and relationship closeness jointly influenced recipients’ privacy concerns and social rewards, which influenced their participation behaviors. This study enriches information systems research by integrating theories of perception transfer and privacy calculus to examine users’ response behaviors to help-request campaigns in SNS marketing. The theoretical and practical implications are discussed in the paper.

[1]  Cliff Lampe,et al.  Help is on the way: patterns of responses to resource requests on facebook , 2014, CSCW.

[2]  Seung-A. Annie Jin,et al.  "To disclose or not to disclose, that is the question": A structural equation modeling approach to communication privacy management in e-health , 2012, Comput. Hum. Behav..

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

[4]  J. Greenberg,et al.  Being accepted for who we are: evidence that social validation of the intrinsic self reduces general defensiveness. , 2001, Journal of personality and social psychology.

[5]  Amiram D Vinokur,et al.  Providing Social Support May Be More Beneficial Than Receiving It , 2003, Psychological science.

[6]  Yue Jin,et al.  Why do consumers participate in brand microblogs? , 2017, Electron. Commer. Res. Appl..

[7]  Shane R. Thye,et al.  BRINGING EMOTIONS INTO SOCIAL EXCHANGE THEORY , 1999 .

[8]  Ritu Agarwal,et al.  The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information , 2011, Inf. Syst. Res..

[9]  Miguel Hernández-Espallardo,et al.  Effect of Brand Associations on Consumer Reactions to Unknown On-Line Brands , 2008, Int. J. Electron. Commer..

[10]  R. E. Milliman,et al.  Using Trust-Transference As A Persuasion Technique: An Empirical Field Investigation , 2013 .

[11]  Tamara Dinev,et al.  An Extended Privacy Calculus Model for E-Commerce Transactions , 2006, Inf. Syst. Res..

[12]  I. Hong,et al.  Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity , 2016, Int. J. Inf. Manag..

[13]  R. Layton,et al.  Dimensions of Consumer Information Seeking Behavior , 1981 .

[14]  Chuan-Hoo Tan,et al.  Addressing the Personalization-Privacy Paradox: An Empirical Assessment from a Field Experiment on Smartphone Users , 2013, MIS Q..

[15]  R. Bharat Rao,et al.  Browsers or Buyers in Cyberspace? An Investigation of Factors Influencing Electronic Exchange , 2006, J. Comput. Mediat. Commun..

[16]  P. Franses,et al.  Vertical Marketing Systems for Complex Products: A Triadic Perspective , 2004 .

[17]  Charlie C. Chen,et al.  Intention to disclose personal information via mobile applications: A privacy calculus perspective , 2016, Int. J. Inf. Manag..

[18]  Bo Xiao,et al.  Embarrassing Exposures in Online Social Networks: An Integrated Perspective of Privacy Invasion and Relationship Bonding , 2015, Inf. Syst. Res..

[19]  Anthony D. Miyazaki,et al.  Internet Seals of Approval: Effects on Online Privacy Policies and Consumer Perceptions , 2002 .

[20]  Peter H. Reingen,et al.  Social Ties and Word-of-Mouth Referral Behavior , 1987 .

[21]  Hock-Hai Teo,et al.  The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services , 2009, J. Manag. Inf. Syst..

[22]  Chun-Hsien Wang,et al.  Effective marketing communication via social networking site: The moderating role of the social tie , 2016 .

[23]  Qian Huang,et al.  What Drives Trust Transfer? The Moderating Roles of Seller-Specific and General Institutional Mechanisms , 2015, Int. J. Electron. Commer..

[24]  Zhao Huang,et al.  From e-commerce to social commerce: A close look at design features , 2013, Electron. Commer. Res. Appl..

[25]  Matthew K. O. Lee,et al.  An empirical investigation of information sharing behavior on social commerce sites , 2016, Int. J. Inf. Manag..

[26]  Peter J. Strub,et al.  Two Patterns of Establishing Trust: The Marijuana User , 1976 .

[27]  Tamar Weinberg,et al.  The New Community Rules - Marketing on the Social Web , 2009 .

[28]  Jun Lin,et al.  Let the users tell the truth: Self-disclosure intention and self-disclosure honesty in mobile social networking , 2017, Int. J. Inf. Manag..

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

[30]  Mohammad Reza Habibi,et al.  o be or not to be in social media : How brand loyalty is affected by social media ? , 2012 .

[31]  R. Bies,et al.  Consumer Privacy: Balancing Economic and Justice Considerations , 2003 .

[32]  Eleanor T. Loiacono,et al.  Self-Disclosure Behavior on Social Networking Web Sites , 2014 .

[33]  Lihua Ruan,et al.  A Research of Trust Based on E-Commerce , 2008, 2008 International Symposium on Electronic Commerce and Security.

[34]  Yongqiang Sun,et al.  nderstanding the role of consistency during web – mobile service ransition : Dimensions and boundary conditions , 2014 .

[35]  Katherine J. Stewart,et al.  How Hypertext Links Influence Consumer Perceptions to Build and Degrade Trust Online , 2006, J. Manag. Inf. Syst..

[36]  Yuan Li,et al.  The impact of disposition to privacy, website reputation and website familiarity on information privacy concerns , 2014, Decis. Support Syst..

[37]  Marjolijn L. Antheunis,et al.  Enhancing the effects of social network site marketing campaigns , 2014 .

[38]  Eva A van Reijmersdal,et al.  Social connections and the persuasiveness of viral campaigns in social network sites: Persuasive intent as the underlying mechanism , 2012 .

[39]  Zhenhui Jiang,et al.  Research Note - Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions , 2013, Inf. Syst. Res..

[40]  Ilyoo B. Hong,et al.  The impact of consumer trust on attitudinal loyalty and purchase intentions in B2C e-marketplaces: Intermediary trust vs. seller trust , 2011, Int. J. Inf. Manag..

[41]  Marcelo Ângelo Cirillo,et al.  Data classification with binary response through the Boosting algorithm and logistic regression , 2017, Expert Syst. Appl..

[42]  R. Eisenberger,et al.  Perceived Organizational Support and Employee Diligence, Commitment, and Innovation , 1990 .

[43]  Rebeca San José,et al.  Social and attitudinal determinants of viral marketing dynamics , 2011 .

[44]  Miriam J. Metzger Communication Privacy Management in Electronic Commerce , 2007, J. Comput. Mediat. Commun..

[45]  Chechen Liao,et al.  Examining the impact of privacy, trust and risk perceptions beyond monetary transactions: An integrated model , 2011, Electron. Commer. Res. Appl..

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

[47]  Daniel G. Bachrach,et al.  Social Network Ties, Transactive Memory, and Performance in Groups , 2014, Organ. Sci..

[48]  Stuart Dillon,et al.  Perceived Risk, the Internet Shopping Experience and Online Purchasing Behavior: A New Zealand Perspective , 2005, J. Glob. Inf. Manag..

[49]  Hock-Hai Teo,et al.  The Value of Privacy Assurance: An Exploratory Field Experiment , 2007, MIS Q..

[50]  Anita L. Vangelisti,et al.  Revealing Family Secrets: The Influence of Topic, Function, and Relationships , 1997 .

[51]  K. Pauwels,et al.  Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site , 2009 .

[52]  Shu-Chuan Chu,et al.  Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites , 2011 .

[53]  Anthony D. Miyazaki,et al.  Consumer Perceptions of Privacy and Security Risks for Online Shopping , 2001 .

[54]  Jacob Kramer-Duffield,et al.  Friends only: examining a privacy-enhancing behavior in facebook , 2010, CHI.

[55]  Andrea Hemetsberger,et al.  Fostering Cooperation on the Internet: Social Exchange Processes in Innovative Virtual Consumer Communities , 2002 .

[56]  D. Zwick,et al.  Whose Identity Is It Anyway? Consumer Representation in the Age of Database Marketing , 2004 .

[57]  Marko Hölbl,et al.  Privacy antecedents for SNS self-disclosure: The case of Facebook , 2015, Comput. Hum. Behav..

[58]  Norm Archer,et al.  Raising the Cohesion and Vitality of Online Communities by Reducing Privacy Concerns , 2017, Int. J. Electron. Commer..

[59]  Nima Kordzadeh,et al.  Antecedents of privacy calculus components in virtual health communities , 2016, Int. J. Inf. Manag..

[60]  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..

[61]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[62]  G. Lilien,et al.  A multi-stage model of word-of-mouth influence through viral marketing , 2008 .

[63]  Jonathan K. Frenzen,et al.  Structure, Cooperation, and the Flow of Market Information , 1993 .

[64]  M. Gilly,et al.  A dyadic study of interpersonal information search , 1998 .

[65]  Lawrence R. Wheeless SELF‐DISCLOSURE AND INTERPERSONAL SOLIDARITY: MEASUREMENT, VALIDATION, AND RELATIONSHIPS , 1976 .

[66]  Joseph P. Cannon,et al.  An Examination of the Nature of Trust in Buyer–Seller Relationships: , 1997 .