Evidence map›Paper›PMID 37519339›Full record

ArticleGlobal journal of flexible systems management2022

The Mechanisms of Collective Resilience in a Crisis Context: The Case of The 'COVID-19' Crisis.

Bechir Mokline, Mohamed Anis Ben Abdallah

Abstract read
In one paragraph

Article in Global journal of flexible systems management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Modeling a COVID-19 Vaccination Campaign in the State of Madhya Pradesh, India.Global journal of flexible systems management · 2023
    Article
  3. Prescriptive Analytics-Based SIRM Model for Predicting Covid-19 Outbreak.Global journal of flexible systems management · 2023
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Bechir MoklineAssistant professor at the Ibn Khaldoun University, 17, rue du 1er, Mai, 8020 Soliman, Tunisie.ORCID 0000-0002-0896-6649
Mohamed Anis Ben AbdallahAssistant professor at the Faculty of Economics and Management of Nabeul, Campus Universitaire Mrezgua, 8000 Nabeul, Tunisie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this research, we claim to join the efforts of practitioners and researchers to provide managerial responses to an unprecedented health crisis such as COVID-19. To do this, we study the concept of 'collective resilience' as a mechanism for responding to crisis in the Tunisian context. The aim of this research is to explain the impact of collective resilience processes on the ability of organizations to withstand crisis. We conducted sixteen semi-structured interviews with Tunisian companies that had experienced the COVID-19 crisis. Continuous analysis of these interviews was carried out with the Nvivo12 software. Our results showed a positive effect of collective resilience on the capacity of organizations to resist the COVID-19 crisis by developing protective factors. These are manifested by new intersubjective interactions (massive exchanges, shared representation, collective consciousness, collaboration, solidarity, mutual aid, etc.), generic interactions (actions and assembly rules not used before: less formalized rules and procedures, more flexible and decentralized structure, new organizational diagrams based on trust, accountability, etc.) and finally the improvisation and tinkering of the organization which made it possible to bring about a change affecting all levels of the organization: strategic and organizational.

Indexed as

Collective resilienceCOVID-19CrisisOrganizationPandemicWeick

Identifiers

PMID37519339
PMCPMC8724648

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.