Evidence map›Paper›PMID 33015266›Full record

ReviewSustainable production and consumption2021

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis.

Tat-Dat Bui, Feng Ming Tsai, Ming-Lang Tseng, Raymond R Tan, Krista Danielle S Yu, Ming K Lim

Abstract readReview
In one paragraph

Review in Sustainable production and consumption, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Sustainability in Numbers by Data Analytics.Circular economy and sustainability · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

6 authors.

Tat-Dat BuiDepartment of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan.
Feng Ming TsaiDepartment of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan.
Ming-Lang TsengInstitute of Innovation and Circular Economy, Asia University Taiwan, Taichung, Taiwan.
Raymond R TanDepartment of Chemical Engineering, De La Salle University, Manila, Philippines.
Krista Danielle S YuSchool of Economics, De La Salle University, Manila, Philippines.
Ming K LimCentre for Business in Society, Faculty of Business and Law, Coventry University, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts' evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.

Indexed as

AmbidexterityContent analysisData drivenDisruptionEntropy weight methodFuzzy decision-making trial and Evaluation laboratoryFuzzy Delphi methodSustainable supply chain management

Identifiers

PMID33015266
PMCPMC7521552

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.