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Cited by 357

The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.

An Affect-Based Model of Recipients’ Responses to Organizational Change Events

Oreg, Shaul, Bartunek, Jean M., Lee, Gayoung, Do, Boram·2018·Academy of Management Review

Abstract

Following a long period during which scholarly attention was paid predominantly to the role of change agents in organizational change, change recipients and their experiences have finally begun to take center stage. Yet the typical view of recipients has been as passive reactors to change. In this article we take steps toward highlighting the central, active roles change recipients play in organizational change events. We discuss and distinguish between dimensions of valence and activation and introduce a circumplex of recipients’ affective and behavioral responses to change events. We describe the primary and secondary appraisal processes through which each response type emerges and discuss outcomes of each response type. We use our model to explain how change context and process variables affect recipients’ responses to change. Finally, we discuss implications of our model for theory, research, and practice.

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Metadata

Authors
Oreg, S., Bartunek, J. M., Lee, G., & Do, B.
Venue
Academy of Management Review
Published
2018-01
Volume
43
Issue
1
Pages
65-86
ISSN
  • 0363-7425 (ISSN-L)
  • 1930-3807
OpenAlex
W2471604960
Cited by
357
References
149
FWCI
25.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Affect-Based Model of Recipients’ Responses to Organizational Change Events. https://app.cochat.ai/papers/10.5465/amr.2014.0335
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Oreg, S., Bartunek, J. M., Lee, G., & Do, B. (2018). An Affect-Based Model of Recipients’ Responses to Organizational Change Events. Academy of Management Review. https://doi.org/10.5465/amr.2014.0335

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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.