Evidence map›Paper›PMID 38547182›Full record

ArticlePloS one2024

A duo-theme cloud model DEMATEL approach for exploring the cause factors of green supply chain management.

Jih-Kuang Chen, Tseng-Chan Tseng

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jih-Kuang ChenEconomics and Management College, Zhaoqing University, Zhaoqing, China.ORCID 0000-0003-2357-5109
Tseng-Chan TsengEconomics and Management College, Zhaoqing University, Zhaoqing, China.ORCID 0000-0001-5259-817X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDecision-Making Trial and Evaluation Laboratory (DEMATEL) methods identify cause factors in green supply chain management (GSCM). This study argues that the target method treats affecting factors as unique themes; however, various factors may be mutually antagonistic (i.e., mutually positive or negative) or encompass other meaningful information (e.g., gain/risk, intensify/depress). The factor affecting GSCM implicitly encompasses the economy and ecology (greenness), which may conflict. This new approach can be integrated into the analysis, dividing affecting factors into "cause" and "effect" groups. The organization should focus on affecting factors in the cause group. The findings provide strategic guidance for organizations to practice GSCM. DESIGN/METHODOLOGY/APPROACH: A duo-theme cloud model DEMATEL approach was proposed to divide these affecting factors of GSCM into "economy" and "greenness." The cloud model was applied to overcome the ambiguity and randomness in the concept of uncertainty and allow the integration of mutual qualitative and quantitative mapping.

findingsSix factors in the economic aspect and four in the greenness aspect should be classified as the cause group. PRACTICAL IMPLICATIONS: Organizations should prioritize these ten factors in their GSCM practices. Doing so makes the GSCM problem relatively straightforward and allows for efficacious decision-making. ORIGINALITY/VALUE: This study proposes a duo-theme cloud model DEMATEL approach to identify cause factors in GSCM.

Indexed as

EcologyOrganizationsUncertainty

Identifiers

PMID38547182
PMCPMC10977737

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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.