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Cited by 908

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

The Contradictory Influence of Social Media Affordances on Online Communal Knowledge Sharing

Open access
Majchrzak, Ann, Faraj, Samer, Kane, Gerald C., Azad, Bijan·2013·Journal of Computer-Mediated Communication

Abstract

The use of social media creates the opportunity to turn organization-wide knowledge sharing in the workplace from an intermittent, centralized knowledge management process to a continuous online knowledge conversation of strangers, unexpected interpretations and re-uses, and dynamic emergence. We theorize four affordances of social media representing different ways to engage in this publicly visible knowledge conversations: metavoicing, triggered attending, network-informed associating, and generative role-taking. We further theorize mechanisms that affect how people engage in the knowledge conversation, finding that some mechanisms, when activated, will have positive effects on moving the knowledge conversation forward, but others will have adverse consequences not intended by the organization. These emergent tensions become the basis for the implications we draw.

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Crossref · 10.1111/jcc4.12030

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Metadata

Authors
Majchrzak, A., Faraj, S., Kane, G. C., & Azad, B.
Venue
Journal of Computer-Mediated Communication
Published
2013-10
Volume
19
Issue
1
Pages
38-55
ISSN
1083-6101 (ISSN-L)
OpenAlex
W2150394933
Cited by
908
References
15
FWCI
121.29
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Contradictory Influence of Social Media Affordances on Online Communal Knowledge Sharing. https://app.cochat.ai/papers/10.1111/jcc4.12030
The paper
Majchrzak, A., Faraj, S., Kane, G. C., & Azad, B. (2013). The Contradictory Influence of Social Media Affordances on Online Communal Knowledge Sharing. Journal of Computer-Mediated Communication. https://doi.org/10.1111/jcc4.12030

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.