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Cited by 547

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

Social Media and Their Affordances for Organizing: A Review and Agenda for Research

Leonardi, Paul M., Vaast, Emmanuelle·2017·Academy of Management Annals

Abstract

Social media—computer-mediated tools of the Web 2.0 generation that make it possible for anyone to create, circulate, share, and exchange information in a variety of formats and with multiple communities—have become increasingly widespread in today’s organizations. Social media have started to affect multiple organizational phenomena and processes. This article pursues three interrelated goals. First, it provides a theoretical framework, based upon the concept of affordances, to theorize the potential implications of social media use for organizing. Second, it reviews existing scholarship on social media and organizing, highlighting social media diffusion, use, and implications for organizational processes of communication, collaboration, and knowledge sharing. Third, it relies upon the affordance perspective and existing scholarship to articulate an agenda for future research on social media and organizing, advocating for a diversification of the phenomena under study and for greater diversity and innovativeness in the methodological approaches devised to investigate these phenomena.

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Metadata

Authors
Leonardi, P. M., & Vaast, E.
Venue
Academy of Management Annals
Published
2017-01
Volume
11
Issue
1
Pages
150-188
ISSN
  • 1941-6067 (ISSN-L)
  • 1941-6520
OpenAlex
W2570170593
Cited by
547
References
15
FWCI
86.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Social Media and Their Affordances for Organizing: A Review and Agenda for Research. https://app.cochat.ai/papers/10.5465/annals.2015.0144
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Leonardi, P. M., & Vaast, E. (2017). Social Media and Their Affordances for Organizing: A Review and Agenda for Research. Academy of Management Annals. https://doi.org/10.5465/annals.2015.0144

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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.