From general to situational privacy concerns: A new mechanism to explain information disclosure in social networks

  • Behrooz Davazdahemami
  • , Bryan Hammer
  • , Pankush Kalgotra
  • , Andy Luse

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Today, people spend many hours each day on social networking sites where they share a great deal of information with others. Prior research has shown that, unlike many other online contexts (e.g., e-commerce), individuals who use social networking sites (SNS) tend to share their personal information almost completely irrespective of their concerns for information privacy (CFIP). Thus, researchers have asked whether people really care about their privacy in SNS. In this study, by developing a new conceptual model based on privacy calculus theory and testing it using a scenario-based survey (N = 180), we argue that the inconsistencies in the literature (i.e., information sharing in SNS in the presence of CFIP) have emerged because researchers have not explicitly conceptualized and properly operationalized models. Our results show that prior research widely lacks parallelism between the operationalization levels of CFIP and willingness to share information. Moreover, we show that situational factors such as sensitivity of information and perceived control over privacy play a critical role in explaining the decision-making mechanism for information disclosure in SNS.

Original languageEnglish
Article number26
Pages (from-to)652-677
Number of pages26
JournalCommunications of the Association for Information Systems
Volume47
Issue number1
DOIs
StatePublished - Dec 2020

Keywords

  • Information Disclosure
  • Parallelism
  • Privacy Concerns
  • Privacy Paradox
  • Social Networks
  • Trust

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