Evidence map›Paper›PMID 35813308›Full record

ArticleEnvironment, development and sustainability2022

Analyzing the key performance indicators of circular supply chains by hybrid fuzzy cognitive mapping and Fuzzy DEMATEL: evidence from healthcare sector.

Asana Hosseini Dolatabad, Hannan Amoozad Mahdiraji, Ali Zamani Babgohari, Jose Arturo Garza-Reyes, Ahad Ai

Abstract read
In one paragraph

Article in Environment, development and sustainability, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

5 authors.

Asana Hosseini DolatabadFaculty of Management, University of Tehran, Tehran, Iran.ORCID 0000-0003-2752-3293
Hannan Amoozad MahdirajiSchool of Business, University of Leicester, Leicester, UK.ORCID 0000-0002-8382-6603
Ali Zamani BabgohariFaculty of Management, University of Tehran, Tehran, Iran.ORCID 0000-0002-2724-4027
Jose Arturo Garza-ReyesCentre for Supply Chain Improvement, University of Derby, Derby, UK.ORCID 0000-0002-5493-877X
Ahad AiCollege of Engineering, Lawrence Technological University, Michigan, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a multi-layer fuzzy-based decision-making approach to enhance the hospital Circular Supply Chain (CSC) performance by focusing on intensive care units (ICU) via key performance indicators analysis. In this regard, a Systematic Literature Review (SLR) and Institution Fuzzy Delphi (IFD) are employed to extract the relevant and prominent KPIs. After, a hybrid Fuzzy Cognitive Mapping (FCM) and Fuzzy Decision Making Trial and Evaluation Laboratory (FDEMATEL) have been applied to illustrate a conceptual framework for the CSC performance management of the healthcare sector in the emerging economy of Iran. As a result, eight critical indicators emanated from the SLR-IFD approach. Furthermore, sixteen relationships amongst the performance indicators were identified via hybrid FCM-FDEMATEL. Inventory availability, information availability, innovation, and technology were selected as the most influential indicators. Besides, changing the information technology category, including information availability and Innovation and technology, had the most impact on the performance of the entire CSC. This study attempts to evaluate hospitals' circular supply chain performance, by designing the circular evaluation framework. Hospital managers can use the results of this research to improve their internal circular supply chain performances in the intensive care units by understanding the different scenarios.

Indexed as

Circular supply chainFuzzy cognitive mapFuzzy DEMATELHealthcare key performance indicatorsHealthcare performance measurement

Identifiers

PMID35813308
PMCPMC9251035

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.