SUPPLY CHAIN RESILIENCE PRACTICE OF MANUFACTURING COMPANIES IN DEVELOPING COUNTRIES: A META-ANALYSIS

Supply chain resilience (SCR) is an adaptive capability that responds to unexpected disruptions. This meta-analysis presents manufacturing companies' supply chain resilience practice in developing countries, considering a sample of 25 studies published from 2014 to 2023. Data were analyzed using a random effects model with the help of Jamovi version 2.4 and SPSS version 23 software’s. The result infers that, especially during the last four years (2020-2023), the SCR practice of manufacturing companies in developing countries has been significantly enhanced (20%). This study also found that Indonesia is a better engaged (24%) developing country in supply chain resilience practice, followed by Kenya (16%). Moreover, this study revealed that the most widely used data analysis model in SCR practice studies was the structural equation model (40%), followed by multiple linear regression (24%). The weighted average effect size of the studies was 57%, which portrays that the SCR practice in developing nations encourages manufacturing companies to implement diverse resilience strategies to overcome supply chain disruptions. Further study of supply chain resilience practice in developed countries is suggested to compare the difference in effect size between developed and developing nations.

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Publication Details

Journal
Facta Universitatis Series Economics and Organization
Published
2025-07-20
DOI
https://doi.org/10.22190/fueo241116001g
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.23
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article

SUPPLY CHAIN RESILIENCE PRACTICE OF MANUFACTURING COMPANIES IN DEVELOPING COUNTRIES: A META-ANALYSIS

A. Solomon, Rajwinder Singh
1 citations
Facta Universitatis Series Economics and Organization
Supply Chain Resilience and Risk Management
2.23
article

SUPPLY CHAIN RESILIENCE PRACTICE OF MANUFACTURING COMPANIES IN DEVELOPING COUNTRIES: A META-ANALYSIS

A. Solomon, Rajwinder Singh
article en
1 citations

Abstract

Supply chain resilience (SCR) is an adaptive capability that responds to unexpected disruptions. This meta-analysis presents manufacturing companies' supply chain resilience practice in developing countries, considering a sample of 25 studies published from 2014 to 2023. Data were analyzed using a random effects model with the help of Jamovi version 2.4 and SPSS version 23 software’s. The result infers that, especially during the last four years (2020-2023), the SCR practice of manufacturing companies in developing countries has been significantly enhanced (20%). This study also found that Indonesia is a better engaged (24%) developing country in supply chain resilience practice, followed by Kenya (16%). Moreover, this study revealed that the most widely used data analysis model in SCR practice studies was the structural equation model (40%), followed by multiple linear regression (24%). The weighted average effect size of the studies was 57%, which portrays that the SCR practice in developing nations encourages manufacturing companies to implement diverse resilience strategies to overcome supply chain disruptions. Further study of supply chain resilience practice in developed countries is suggested to compare the difference in effect size between developed and developing nations.

Facta Universitatis Series Economics and Organization
Ambo University (ET), Punjabi University (IN)
Openalex Percentile: Top 10%
Supply Chain Resilience and Risk Management
2.23
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SUPPLY CHAIN RESILIENCE PRACTICE OF MANUFACTURING COMPANIES IN DEVELOPING COUNTRIES: A META-ANALYSIS — A. Solomon, Rajwinder Singh · Facta Universitatis Series Economics and Organization (2025) | TGRS Research Map | TGRS