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Cited by 272

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Toward Developing Human Resource Management Systems for Knowledge-Intensive Teamwork

Jackson, Susan E., Chuang, Chih-Hsun, Harden, Erika E., Jiang, Yuan·2006·Research in Personnel and Human Resources Management

Abstract

Building on the resource-based view of the firm and complex systems theory, we argue that the effective utilization of knowledge-intensive teamwork (KITwork) can be a source of sustained competitive advantage for firms that pursue a variety of strategies and compete in a variety of industries. KITwork is a multi-dimensional, multi-level social process that promotes knowledge flows within and between organizations. Through KITwork, the knowledge resources of individual employees are transformed into a capability that contributes to the effectiveness of knowledge-based organizations. After introducing and explaining the concept of KITwork, we explore the challenges that organizations must address in order to design HRM systems that support and facilitate KITwork.

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Metadata

Authors
Jackson, S. E., Chuang, C.-H., Harden, E. E., & Jiang, Y.
Venue
Research in Personnel and Human Resources Management
Published
2006-06-16
Pages
27-70
ISSN
0742-7301 (ISSN-L)
OpenAlex
W2489050305
Cited by
272
References
18
FWCI
8.80
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: Toward Developing Human Resource Management Systems for Knowledge-Intensive Teamwork. https://app.cochat.ai/papers/10.1016/s0742-7301(06)25002-3
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Jackson, S. E., Chuang, C.-H., Harden, E. E., & Jiang, Y. (2006). Toward Developing Human Resource Management Systems for Knowledge-Intensive Teamwork. Research in Personnel and Human Resources Management. https://doi.org/10.1016/s0742-7301(06)25002-3

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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.