Evidence map›Paper›PMID 36570556›Full record

ArticleAnnals of operations research2022

Fake news on Facebook and their impact on supply chain disruption during COVID-19.

Mohammad Alamgir Hossain, Md Maruf Hossan Chowdhury, Ilias O Pappas, Bhimaraya Metri, Laurie Hughes, Yogesh K Dwivedi

Abstract readNews
In one paragraph

Article in Annals of operations research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Mohammad Alamgir HossainSchool of Accounting, Information Systems, and Supply Chain, RMIT University, Melbourne, VIC 3000 Australia.ORCID 0000-0002-4292-8478
Md Maruf Hossan ChowdhuryUTS Business School, University of Technology Sydney, Broadway, NSW 2007 Australia.
Ilias O PappasUniversity of Agder, Kristiansand, Norway.
Bhimaraya MetriIndian Institute of Management Nagpur, Dahegaon, India.
Laurie HughesDigital Futures for Sustainable Business & Society Group, School of Management, Swansea University, Bay Campus, Swansea, UK.
Yogesh K DwivediDigital Futures for Sustainable Business & Society Group, School of Management, Swansea University, Bay Campus, Fabian Bay, Swansea, SA1 8EN Wales UK.ORCID 0000-0002-5547-9990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media (SM) fake news has become a serious concern especially during COVID-19. In this study, we develop a research model to investigate to what extent SM fake news contributes to supply chain disruption (SCD), and what are the different SM affordances that contribute to SM fake news. To test the derived hypotheses with survey data, we have applied partial least square based structural equation modelling (PLS-SEM) technique. Further, to identify how different configurations of SC resilience (SCR) capabilities reduce SCD, we have used fuzzy set qualitative comparative analysis (fsQCA). The results show that SM affordances lead to fake news, which increases consumer panic buying (CPB); CPB in turn increases SCD. In addition, SM fake news directly increases SCD. The moderation test suggests that, SCR capability, as a higher-order construct, decreases the effect of CPB on SCD; however, neither of the capabilities individually moderates. Complimentarily, the fsQCA results suggest that no single capability but their three specific configurations reduce SCD. This work offers a new theoretical perspective to study SCD through SM fake news. Our research advances the knowledge of SCR from a configurational lens by adopting an equifinal means towards mitigating disruption. This research will also assist the operations and SC managers to strategize and understand which combination of resilience capabilities is the most effective in tackling disruptions during a crisis e.g., COVID-19. In addition, by identifying the relative role of different SM affordances, this study provides pragmatic insights into SM affordance measures that combat fake news on SM.

Indexed as

COVID-19Fake newsPanic buyingResilienceSocial mediaSupply chain disruption

Identifiers

PMID36570556
PMCPMC9761633

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.