Optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets: an integrated linear (PLS-SEM) and non-linear (fsQCA) approach
Supply chain uncertainties are a key managerial concern because of their adverse influences on organizations and supply chain operations. Supply chain firms must establish a strategic construct: the capability to reconfigure, adapt, and respond during disruptive events. This study aims to empiricall...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | Cleaner Logistics and Supply Chain |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772390925000563 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849229256733753344 |
|---|---|
| author | Jewel Rana Md Zubair Ahmad Mohammad Fakhrul Islam Md Nazmul Islam Jihad Md. Rashed Mohammed Kamruzzaman |
| author_facet | Jewel Rana Md Zubair Ahmad Mohammad Fakhrul Islam Md Nazmul Islam Jihad Md. Rashed Mohammed Kamruzzaman |
| author_sort | Jewel Rana |
| collection | DOAJ |
| description | Supply chain uncertainties are a key managerial concern because of their adverse influences on organizations and supply chain operations. Supply chain firms must establish a strategic construct: the capability to reconfigure, adapt, and respond during disruptive events. This study aims to empirically examine the impact of the dimensions of supply chain analytics capability and sustainable manufacturing practices, thereby achieving high levels of supply chain performance in emerging markets. The study combines the theoretical framework using dynamic capability theory to reconfigure supply chain firms’ resources and capabilities to respond to disruptive events, thereby attaining a competitive advantage in dynamic markets. By employing the proposed questionnaires, participants are collected from 333 senior supply chain professionals involved in various manufacturing industries in Bangladesh. Accordingly, the study proposed five hypotheses to test the empirical validation using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). The results show that management capability, data-driven culture, supply chain management, and sustainable manufacturing process significantly impact supply chain performance using the PLS-SEM model. In the fsQCA model, the findings reveal that management capability and supply chain management are sufficient core conditions to achieve high supply chain performance. This substantial result identifies that deploying dynamic capabilities techniques for the implication of extant capabilities in combination with processes for expanding and employing new insights strengthens the supply chain’s capability to find potential uncertainties and respond to them rapidly. |
| format | Article |
| id | doaj-art-ac0720bc51ff465cba393eb660ada30c |
| institution | Kabale University |
| issn | 2772-3909 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Logistics and Supply Chain |
| spelling | doaj-art-ac0720bc51ff465cba393eb660ada30c2025-08-22T04:58:41ZengElsevierCleaner Logistics and Supply Chain2772-39092025-09-011610025710.1016/j.clscn.2025.100257Optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets: an integrated linear (PLS-SEM) and non-linear (fsQCA) approachJewel Rana0Md Zubair Ahmad1Mohammad Fakhrul Islam2Md Nazmul Islam Jihad3Md. Rashed4Mohammed Kamruzzaman5School of Business, International American University, Los Angeles, United States of AmericaSchool of Business, International American University, Los Angeles, United States of AmericaDoctoral School of Economic & Regional Sciences, Hungarian University of Agriculture and Life Sciences (MATE), Gödöllő, Hungary; College of Business Administration, International University of Business Agriculture and Technology, Dhaka, Bangladesh; Corresponding author at: Hungarian University of Agriculture and Life Sciences (MATE), Gödöllő, Hungary.School of Business, International American University, Los Angeles, United States of AmericaCollege of Business Administration, International University of Business Agriculture and Technology, Dhaka, Bangladesh; ResearchCraft Training & Development, Dhaka, BangladeshCollege of Business Administration, International University of Business Agriculture and Technology, Dhaka, BangladeshSupply chain uncertainties are a key managerial concern because of their adverse influences on organizations and supply chain operations. Supply chain firms must establish a strategic construct: the capability to reconfigure, adapt, and respond during disruptive events. This study aims to empirically examine the impact of the dimensions of supply chain analytics capability and sustainable manufacturing practices, thereby achieving high levels of supply chain performance in emerging markets. The study combines the theoretical framework using dynamic capability theory to reconfigure supply chain firms’ resources and capabilities to respond to disruptive events, thereby attaining a competitive advantage in dynamic markets. By employing the proposed questionnaires, participants are collected from 333 senior supply chain professionals involved in various manufacturing industries in Bangladesh. Accordingly, the study proposed five hypotheses to test the empirical validation using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). The results show that management capability, data-driven culture, supply chain management, and sustainable manufacturing process significantly impact supply chain performance using the PLS-SEM model. In the fsQCA model, the findings reveal that management capability and supply chain management are sufficient core conditions to achieve high supply chain performance. This substantial result identifies that deploying dynamic capabilities techniques for the implication of extant capabilities in combination with processes for expanding and employing new insights strengthens the supply chain’s capability to find potential uncertainties and respond to them rapidly.http://www.sciencedirect.com/science/article/pii/S2772390925000563Supply chain analyticsSustainable manufacturing practicesPLS-SEMfsQCASupply chain performance |
| spellingShingle | Jewel Rana Md Zubair Ahmad Mohammad Fakhrul Islam Md Nazmul Islam Jihad Md. Rashed Mohammed Kamruzzaman Optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets: an integrated linear (PLS-SEM) and non-linear (fsQCA) approach Cleaner Logistics and Supply Chain Supply chain analytics Sustainable manufacturing practices PLS-SEM fsQCA Supply chain performance |
| title | Optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets: an integrated linear (PLS-SEM) and non-linear (fsQCA) approach |
| title_full | Optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets: an integrated linear (PLS-SEM) and non-linear (fsQCA) approach |
| title_fullStr | Optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets: an integrated linear (PLS-SEM) and non-linear (fsQCA) approach |
| title_full_unstemmed | Optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets: an integrated linear (PLS-SEM) and non-linear (fsQCA) approach |
| title_short | Optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets: an integrated linear (PLS-SEM) and non-linear (fsQCA) approach |
| title_sort | optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets an integrated linear pls sem and non linear fsqca approach |
| topic | Supply chain analytics Sustainable manufacturing practices PLS-SEM fsQCA Supply chain performance |
| url | http://www.sciencedirect.com/science/article/pii/S2772390925000563 |
| work_keys_str_mv | AT jewelrana optimizingsupplychainperformancethroughsustainablemanufacturingpracticesandcapabilitiesinemergingmarketsanintegratedlinearplssemandnonlinearfsqcaapproach AT mdzubairahmad optimizingsupplychainperformancethroughsustainablemanufacturingpracticesandcapabilitiesinemergingmarketsanintegratedlinearplssemandnonlinearfsqcaapproach AT mohammadfakhrulislam optimizingsupplychainperformancethroughsustainablemanufacturingpracticesandcapabilitiesinemergingmarketsanintegratedlinearplssemandnonlinearfsqcaapproach AT mdnazmulislamjihad optimizingsupplychainperformancethroughsustainablemanufacturingpracticesandcapabilitiesinemergingmarketsanintegratedlinearplssemandnonlinearfsqcaapproach AT mdrashed optimizingsupplychainperformancethroughsustainablemanufacturingpracticesandcapabilitiesinemergingmarketsanintegratedlinearplssemandnonlinearfsqcaapproach AT mohammedkamruzzaman optimizingsupplychainperformancethroughsustainablemanufacturingpracticesandcapabilitiesinemergingmarketsanintegratedlinearplssemandnonlinearfsqcaapproach |