Public Information Sharing in Enterprise Social Networks: A Communication Privacy Management Perspective

Yu Wang, Daqing Zhang, Yulin Fang

Research output: Contribution to journalArticlepeer-review

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Purpose: The advancement of enterprise social networks (ESNs) facilitates information sharing but also presents the challenge of managing information boundaries. This study aims to explore the factors that influence the information-control behavior of ESN users when continuously sharing information. Design/methodology/approach: This study specifies the information-control behaviors in the “wall posts” channel and applies communication privacy management (CPM) theory to analyze the effects of the individual-specific factor (disposition to value information), context-specific factors (work-relatedness and information richness) and risk-benefit ratio (public benefit and public risk). Data on actual information-control behaviors extracted from ESN logs are examined using multilevel mixed-effects logistic regression analysis. Findings: The study's findings show the direct effects of the individual-specific factor, context-specific factors and risk-benefit ratio, highlighting interactions between the individual motivation factor and ESN context factors. Originality/value: This study reshapes the relationship of CPM theory boundary rules in the ESN context, extending information-control research and providing insights into ESNs' information-control practices.

Original languageEnglish
Pages (from-to)1-29
Number of pages29
JournalInternet Research: Electronic Networking Applications and Policy
Early online date18 Sept 2023
Publication statusPublished online - 18 Sept 2023

Bibliographical note

Funding Information:
This research is supported by National Social Science Foundation of China (Grant NO. 20BGL287) and Research and Innovation Fund of Shanghai University of Finance and Economics (CXJJ-2019-393).

Publisher Copyright:
© 2023, Emerald Publishing Limited.


  • Enterprise social networks
  • Information sharing
  • information control
  • Communication privacy management theory
  • Multilevel mixed-effects logistic regression


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