The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Why a Central Network Position Isn't Enough: The Role of Motivation and Ability for Knowledge Sharing in Employee Networks
Abstract
Contrasting views exist on how network characteristics predict knowledge sharing. Although large, open egocentric networks foster network positions that provide access to nonredundant knowledge, critics have noted that such networks impair knowledge sharing, because trust and reciprocity do not thrive in them. This problem may, however, be resolved by including motivation and ability to share knowledge as moderators of the association between network position and knowledge sharing. Our analysis of 705 employees in a consultancy shows that employees' knowledge acquisition and provision are highest when network centrality, autonomous motivation, and ability are all high, thus supporting the proposed three-way interaction.
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Cited by
Chuang, C.-H., Jackson, S. E., & Jiang, Y. (2016) · Journal of Management · doi:10.1177/0149206313478189 · Cited by 423
Dahlin, K. B., Chuang, Y.-T., & Roulet, T. J. (2018) · Academy of Management Annals · doi:10.5465/annals.2016.0049 · Cited by 304
Radaelli, G., Lettieri, E., Mura, M., & Spiller, N. (2014) · Creativity and Innovation Management · doi:10.1111/caim.12084 · Cited by 268
Hambrick, D. C., Misangyi, V. F., & Park, C. A. (2015) · Academy of Management Review · doi:10.5465/amr.2014.0066 · Cited by 265
Ego-Network Stability and Innovation in Alliances
Kumar, P., & Zaheer, A. (2019) · Academy of Management Journal · doi:10.5465/amj.2016.0819 · Cited by 171
Metadata
- Authors
- Reinholt, M., Pedersen, T., & Foss, N. J.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2011-12
- Volume
- 54
- Issue
- 6
- Pages
- 1277-1297
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W2028992555
- Cited by
- 548
- References
- 110
- FWCI
- 72.17
- 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).
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