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- Publisher Website: 10.1108/INTR-09-2022-0745
- Scopus: eid_2-s2.0-85170837517
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Article: Public information sharing in enterprise social networks: a communication privacy management perspective
Title | Public information sharing in enterprise social networks: a communication privacy management perspective |
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Authors | |
Keywords | Communication privacy management theory Enterprise social networks Information control Information sharing Multilevel mixed-effects logistic regression |
Issue Date | 18-Sep-2023 |
Publisher | Emerald |
Citation | Internet Research, 2023 How to Cite? |
Abstract | PurposeThe 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/approachThis 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. FindingsThe 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/valueThis 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. |
Persistent Identifier | http://hdl.handle.net/10722/338125 |
ISSN | 2021 Impact Factor: 6.353 2020 SCImago Journal Rankings: 1.382 |
DC Field | Value | Language |
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dc.contributor.author | Wang, Yu | - |
dc.contributor.author | Zheng, Daqing | - |
dc.contributor.author | Fang, Yulin | - |
dc.date.accessioned | 2024-03-11T10:26:26Z | - |
dc.date.available | 2024-03-11T10:26:26Z | - |
dc.date.issued | 2023-09-18 | - |
dc.identifier.citation | Internet Research, 2023 | - |
dc.identifier.issn | 1066-2243 | - |
dc.identifier.uri | http://hdl.handle.net/10722/338125 | - |
dc.description.abstract | <h3>Purpose</h3><p>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.</p><h3>Design/methodology/approach</h3><p>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.</p><h3>Findings</h3><p>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.</p><h3>Originality/value</h3><p>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.</p> | - |
dc.language | eng | - |
dc.publisher | Emerald | - |
dc.relation.ispartof | Internet Research | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Communication privacy management theory | - |
dc.subject | Enterprise social networks | - |
dc.subject | Information control | - |
dc.subject | Information sharing | - |
dc.subject | Multilevel mixed-effects logistic regression | - |
dc.title | Public information sharing in enterprise social networks: a communication privacy management perspective | - |
dc.type | Article | - |
dc.identifier.doi | 10.1108/INTR-09-2022-0745 | - |
dc.identifier.scopus | eid_2-s2.0-85170837517 | - |
dc.identifier.issnl | 1066-2243 | - |