Revealing the black box: Understanding how prior self-disclosure affects privacy concern in the on-demand services

Chenwei Li, Cheng Wang, Patrick Y.K. Chau

Research output: Journal PublicationArticlepeer-review

Abstract

With the growth of on-demand services, consumers are increasingly concerned about information privacy. While the direct relationship between prior self-disclosure and privacy concern has been extensively examined, the mediating mechanism remains as a black box. Revealing this black box can broaden the theoretical understanding of this important relationship, and also provide implications for addressing consumers’ privacy concern. Drawing on prominence interpretation theory and information processing theory, we propose two mediating models. Results suggest that expertise and trustworthiness are key mediators and that a combined model outperforms either one alone in explaining the effect of prior self-disclosure on privacy concern.

Original languageEnglish
Article number102547
JournalInternational Journal of Information Management
Volume67
DOIs
Publication statusPublished - Dec 2022
Externally publishedYes

Keywords

  • Information processing theory
  • On-demand services
  • Privacy concern
  • Prominence interpretation theory
  • Self-disclosure

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Marketing
  • Library and Information Sciences
  • Artificial Intelligence

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