Evidence map›Paper›PMID 35966134›Full record

ArticleOmega2022

Understanding systemic disruption from the Covid-19-induced semiconductor shortage for the auto industry.

Vinay Ramani, Debabrata Ghosh, ManMohan S Sodhi

Abstract read
In one paragraph

Article in Omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors.

Vinay RamaniDepartment of Industrial & Management Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India.
Debabrata GhoshEssex Business School, University of Essex, Elmer Approach, Southend-on-Sea, SS1 1LW, UK.
ManMohan S SodhiBayes Business School (formerly Cass) City, University of London, 106 Bunhill Row, London, EC1Y 8TZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covid-19 has allowed us to study systemic disruptions that impact entire industries. This paper explores how disruptions start, propagate, and continue over time by examining the semiconductor chip shortage faced by the auto industry during the years following Covid-19 in 2020. First, we carried out a thematic analysis of 209 pertinent newspaper articles. The analysis resulted in a thematic model of such disruptions with the interplay of various factors leading to the prolonged disruption to the auto sector. Second, we present the results from a stylized supply chain planning model run at different times to show how disruptions propagate to the auto and other sectors, causing systemic shortages. Overall, we contribute to the supply chain risk literature by focusing on system disruptions impacting entire industries versus normal disruptions affecting a particular company's supply chain.

Indexed as

AutomotiveChips shortageCovid-19Electronic industrySystemic disruption

Identifiers

PMID35966134
PMCPMC9363154

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.