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Cited by 989

The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.

Organizational Resilience: A Valuable Construct for Management Research?

Open access
Hillmann, Julia, Guenther, Edeltraud·2021·International Journal of Management Reviews

Abstract

Recently, the concept of resilience has gained new momentum in organization studies. It is held to be a very promising concept to explain how organizations can survive and thrive amidst adversity or turbulence. However, findings from an earlier review about resilience in the organizational and business context show that, although empirical research on the concept has increased, there is still a need for more clarity in terms of its measurement. The aim of this paper is to present a systematic review of the organizational resilience construct that covers both conceptual and operational issues. We discuss why researchers criticize resilience for being fuzzy and move on to identify and analyse existing literature under the lens of construct development and taxonomies. With this study, we aim to point out conceptual problems for future researchers to address conceptual clarity and to develop a clearer, more parsimonious concept. We conclude with a suggestion about future measurement.

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Metadata

Authors
Hillmann, J., & Guenther, E.
Venue
International Journal of Management Reviews
Publisher
Wiley
Published
2020-08-16
Volume
23
Issue
1
Pages
7-44
ISSN
  • 1460-8545 (ISSN-L)
  • 1468-2370
OpenAlex
W3081169735
Cited by
989
References
128
FWCI
89.85
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Organizational Resilience: A Valuable Construct for Management Research? https://app.cochat.ai/papers/10.1111/ijmr.12239
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Hillmann, J., & Guenther, E. (2021). Organizational Resilience: A Valuable Construct for Management Research? International Journal of Management Reviews. https://doi.org/10.1111/ijmr.12239

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.