Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 573

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

A dynamic perspective on the resilience of firms: A systematic literature review and a framework for future research

Conz, Elisa, Magnani, Giovanna·2020·European Management Journal

Abstract

Abstract This study aims to answer the following research question: how is the resilience of firms defined in the business and management field? In doing so, we answer recent calls for research about a more thorough conceptualisation of the resilience of firms and its definition. We conducted a systematic literature review of 66 selected papers published between 2000 and 2017. By means of inductive content analysis, we analyse the definitions of ‘resilience’ and elaborate a novel conceptual framework that introduces a dynamic perspective on the resilience of firms. The proposed framework overcomes existing definitional fragmentation and raises awareness of the temporal dimension in the conceptualisation of the resilience of firms. We contribute to extant business and management literature on the resilience of firms by proposing a model that articulates two main paths for explaining organisational resilience, i.e. absorptive resilience and adaptive resilience paths. We also identify a set of key capabilities needed to be successfully resilient at the different stages of the two paths.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.emj.2019.12.004

Cites

88 of 88 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 88 references

Cited by

See all 573

Metadata

Authors
Conz, E., & Magnani, G.
Venue
European Management Journal
Publisher
Elsevier BV
Published
2020-06
Volume
38
Issue
3
Pages
400-412
ISSN
0263-2373 (ISSN-L)
OpenAlex
W2992692326
Cited by
573
References
88
FWCI
7.56
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A dynamic perspective on the resilience of firms: A systematic literature review and a framework for future research. https://app.cochat.ai/papers/10.1016/j.emj.2019.12.004
The paper
Conz, E., & Magnani, G. (2020). A dynamic perspective on the resilience of firms: A systematic literature review and a framework for future research. European Management Journal. https://doi.org/10.1016/j.emj.2019.12.004

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.