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Cited by 324

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Understanding and Creating Whole Organizational Change Through Learning Theory

Hendry, Chris·1996·Human Relations

Abstract

The management of change has become characterized by an atheoretical pragmatism, overfocused on the political aspects of the change process. Emerging interest in the learning organization provides an occasion to remedy this, by developing a theory of change which is more congruent with the requirement to build learning capacity within organizations. The result should be to place learning theory more centrally within the theory of planned organizational change. This should also reinvigorate action research by defining a wider range of learning technologies and perspectives. The argument is developed by first reviewing theories of learning employed in organizational change. The notion of communities-of-practice is then developed as a core concept to highlight the paradoxical processes of inertia and change centered on groups. A series of examples is then drawn from a recent action research project in order to illustrate the possibilities for applying learning theory. Finally, a research agenda is set out for exploring the role of communities-of-practice, with some preliminary observations from a study of small-medium enterprises.

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Metadata

Authors
Hendry, C.
Venue
Human Relations
Published
1996-05
Volume
49
Issue
5
Pages
621-641
ISSN
  • 0018-7267 (ISSN-L)
  • 1741-282X
OpenAlex
W2116506228
Cited by
324
References
63
FWCI
19.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding and Creating Whole Organizational Change Through Learning Theory. https://app.cochat.ai/papers/10.1177/001872679604900505
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Hendry, C. (1996). Understanding and Creating Whole Organizational Change Through Learning Theory. Human Relations. https://doi.org/10.1177/001872679604900505

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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.