Evidence map›Paper›PMID 34931109›Full record

ArticleInternational journal of production economics2022

Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective.

Fei Ye, Ke Liu, Lixu Li, Kee-Hung Lai, Yuanzhu Zhan, Ajay Kumar

Open access · greenAbstract read
In one paragraph

Article in International journal of production economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
28.4field-weighted citation impact, top 1% of its field
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

6 citing papers in PubMed, 217 citations in OpenAlex.

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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 at 5 institutions in 4 countries.

Fei YeSchool of Business Administration, South China University of Technology, Guangzhou, 510640, China.
Ke LiuSchool of Business Administration, South China University of Technology, Guangzhou, 510640, China.
Lixu LiSchool of Economics and Management, Xi'an University of Technology, Xi'an, 710054, China.
Kee-Hung LaiDepartment of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hong Kong.
Yuanzhu ZhanBirmingham Business School, University of Birmingham, Birmingham, United Kingdom.
Ajay KumarEmlyon Business School, France.
South China University of Technology · CNÉcole de management de Lyon · FRHong Kong Polytechnic University · HKUniversity of Birmingham · GBXi'an University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although many firms are actively deploying various digital technology (DT) assets across their supply chains to mitigate the negative impact of the COVID-19 pandemic on operations, whether these DT assets are truly helpful remains unclear. To disentangle this puzzle, we investigate whether firms that have higher levels of DT asset deployment achieve better supply chain performance in the COVID-19 crisis than firms with lower levels. From an asset orchestration perspective, we focus on two dimensions of DT asset deployment: breadth and depth, which reflect the scope and scale of DT assets, respectively. The empirical results from 175 Chinese firms that have deployed DT assets to varying degrees reveal that both the breadth and the depth of DT asset deployment show positive relationships with supply chain visibility. In contrast, the depth but not the breadth of DT asset deployment poses a positive relationship with supply chain agility. Most importantly, high levels of supply chain visibility and supply chain agility were prerequisites for excellent supply chain performance in the COVID-19 crisis. We contribute to the digital supply chain management literature by uncovering the mechanism through which DT asset deployment generates impacts on supply chain performance from an asset orchestration perspective. Our study also assists firms in improving their digital transformation strategies to combat the COVID-19 pandemic.

Indexed as

Asset orchestrationCOVID-19Digital technology assetsSupply chain agilitySupply chain performanceSupply chain visibility

Identifiers

PMID34931109
PMCPMC8674654
OpenAlexW4200087611

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.