The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Learning and Knowledge Sharing in Virtual Communities of Practice: Motivators, Barriers, and Enablers
Abstract
The problem and the solution . Virtual (online) communities of practice (VCoPs; when community members share and cocreate knowledge in online discussions and other forms of knowledge exchange) are increasingly viewed as important vehicles of collective learning in the workplace. Currently, factors leading to successful online knowledge sharing are not well understood. This article is based on an extensive review of online learning, knowledge management, and online communication literature, and proposes a framework for understanding motivators, barriers, and enablers for successful online knowledge sharing and learning. The framework includes key motivational factors, such as utilitarian considerations, value-based considerations, and sense of community and belonging; barriers to online knowledge sharing, including interpersonal factors, procedural and/or use of technology-related factors, and cultural norms; and enablers of VCoP knowledge sharing, including supportive organizational culture, presence of personal knowledge-based trust, and availability of adequate tools. The article concludes with specific recommendations for promoting and supporting vibrant and productive VCoPs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Situated Learning: Legitimate Peripheral Participation.
Bloch, M., Lave, J., & Wenger, E. (1994) · Man · doi:10.2307/2804509 · Cited by 39,454
Situated Learning: Legitimate Peripheral Participation
Lave, J., & Wenger, E. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815355 · Cited by 35,324
(1999) · Cited by 28,356
Communities of Practice: Learning, Meaning, and Identity
Wenger, E. (1998) · doi:10.1017/cbo9780511803932 · Cited by 23,500
Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations across Nations
Bhagat, R. S., & Hofstede, G. (2002) · The Academy of Management Review · doi:10.2307/4134391 · Cited by 21,664
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
POLANYI, M. (1997) · Knowledge in Organisations · doi:10.1016/b978-0-7506-9718-7.50010-x · Cited by 12,408
Academy of Management Executive
(2010) · The Academy of Management executive/Academy of Management executive · doi:10.5465/ame · Cited by 8,844
Brown, J. S., & Duguid, P. (1991) · Organization Science · doi:10.1287/orsc.2.1.40 · Cited by 8,390
Exploring internal stickiness: Impediments to the transfer of best practice within the firm
Szulanski, G. (1996) · Strategic Management Journal · doi:10.1002/smj.4250171105 · Cited by 7,839
Cited by
Understanding Human-Machine Networks: A Cross-Disciplinary Survey
Tsvetkova, M., Yasseri, T., Meyer, E. T., Pickering, J. B., Engen, V., Walland, P., Lüders, M., Følstad, A., & Bravos, G. (2018) · ACM Computing Surveys · doi:10.1145/3039868 · Cited by 67
Do I Belong? Modeling Sense of Virtual Community Among Linux Kernel Contributors
Trinkenreich, B., Stol, K.-J., Sarma, A., German, D. M., Gerosa, M. A., & Steinmacher, I. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) · doi:10.1109/icse48619.2023.00038 · Cited by 25
Electrophysiology and hyperscanning applied to e-learning for organizational training
Balconi, M., Angioletti, L., & Cassioli, F. (2023) · The Learning Organization · doi:10.1108/tlo-01-2023-0011 · Cited by 12
Metadata
- Authors
- Ardichvili, A.
- Venue
- Advances in Developing Human Resources
- Publisher
- SAGE Publications
- Published
- 2008-06-05
- Volume
- 10
- Issue
- 4
- Pages
- 541-554
- ISSN
- 1523-4223 (ISSN-L)
- 1552-3055
- OpenAlex
- W2000709544
- Cited by
- 473
- References
- 40
- FWCI
- 93.01
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Learning and Knowledge Sharing in Virtual Communities of Practice: Motivators, Barriers, and Enablers. https://app.cochat.ai/papers/10.1177/1523422308319536
- The paper
- Ardichvili, A. (2008). Learning and Knowledge Sharing in Virtual Communities of Practice: Motivators, Barriers, and Enablers. Advances in Developing Human Resources. https://doi.org/10.1177/1523422308319536
Data sources
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.