Public information sharing in enterprise social networks: a communication privacy management perspective

Abstract

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.

Citation

Wang, Y., Zheng, D. and Fang, Y. (2024), "Public information sharing in enterprise social networks: a communication privacy management perspective", Internet Research, Vol. 34 No. 2, pp. 610-630. https://doi.org/10.1108/INTR-09-2022-0745