The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice1
Abstract
Electronic networks of practice are computer-mediated discussion forums focused on problems of practice that enable individuals to exchange advice and ideas with others based on common interests. However, why individuals help strangers in these electronic networks is not well understood: there is no immediate benefit to the contributor, and free-riders are able to acquire the same knowledge as everyone else. To understand this paradox, we apply theories of collective action to examine how individual motivations and social capital influence knowledge contribution in electronic networks. This study reports on the activities of one electronic network supporting a professional legal association. Using archival, network, survey, and content analysis data, we empirically test a model of knowledge contribution. We find that people contribute their knowledge when they perceive that it enhances their professional reputations, when they have the experience to share, and when they are structurally embedded in the network. Surprisingly, contributions occur without regard to expectations of reciprocity from others or high levels of commitment to the network.
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Situated Learning: Legitimate Peripheral Participation
Lave, J., & Wenger, E. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815355 · Cited by 35,324
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
Toward a knowledge-based theory of the firm
Grant, R. M. (1996) · Strategic Management Journal · doi:10.1002/smj.4250171110 · Cited by 16,157
Bowling Alone: America's Declining Social Capital
Putnam, R. D. (1995) · Journal of Democracy · doi:10.1353/jod.1995.0002 · Cited by 14,037
Burt, R. S. (1992) · doi:10.4159/9780674029095 · Cited by 9,093
Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology
Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996) · Administrative Science Quarterly · doi:10.2307/2393988 · Cited by 8,499
Affect and Cognition Based Trust as Foundations for Interpersonal Cooperation in Organizations
McAllister, D. J. (1995) · Academy of Management Journal · doi:10.2307/256727 · Cited by 7,346
Social Capital, Intellectual Capital, and the Organizational Advantage
Nahapiet, J., & Ghoshal, S. (1998) · The Academy of Management Review · doi:10.2307/259373 · Cited by 7,111
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Hamari, J., Sjöklint, M., & Ukkonen, A. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23552 · Cited by 3,439
Ma, M., & Agarwal, R. (2007) · Information Systems Research · doi:10.1287/isre.1070.0113 · Cited by 1,143
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Carrots and Rainbows: Motivation and Social Practice in Open Source Software Development1
von Krogh, G., Haefliger, S., Spaeth, S., & Wallin, M. W. (2012) · MIS Quarterly · doi:10.2307/41703471 · Cited by 698
Metadata
- Authors
- Wasko, M. M., & Faraj, S.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2005-03-01
- Volume
- 29
- Issue
- 1
- Pages
- 35-58
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W3147795728
- Cited by
- 3,904
- References
- 14
- FWCI
- 238.21
- Type
- journal article
- Language
- en
- Open access
- closed
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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.