Synergizing Total Quality and Knowledge Management to Enhance Supply Chain Learning in Emerging Economies: Evidence from Nigeria

This study investigates the integrated effects of Total Quality Management (TQM) and Knowledge Management (KM) on Supply Chain Learning (SCL) within the context of emerging economies, with a focus on Nigeria. Employing structural equation modeling (SEM), the research validates the reliability and distinctiveness of TQM and KM constructs and demonstrates their significant positive impacts on SCL. Importantly, the findings reveal a complementary synergy between TQM and KM practices, indicating that their combined application enhances supply chain learning outcomes more effectively than when implemented independently. The study contributes to the resource-based view by empirically supporting the strategic bundling of quality and knowledge resources as critical drivers of adaptive learning and operational resilience. Policy and managerial implications are discussed, highlighting the importance of integrated management frameworks to improve supply chain responsiveness and innovation. Future research avenues include longitudinal analyses, digital transformation influences, and sector-specific investigations.

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Publication Details

Journal
International Journal of Applied Research in Business and Management
Published
2025-11-26
DOI
https://doi.org/10.51137/wrp.ijarbm.470
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Synergizing Total Quality and Knowledge Management to Enhance Supply Chain Learning in Emerging Economies: Evidence from Nigeria

Adedeji Daniel Gbadebo
International Journal of Applied Research in Business and Management
Quality and Supply Management
article

Synergizing Total Quality and Knowledge Management to Enhance Supply Chain Learning in Emerging Economies: Evidence from Nigeria

Adedeji Daniel Gbadebo
article en

Abstract

This study investigates the integrated effects of Total Quality Management (TQM) and Knowledge Management (KM) on Supply Chain Learning (SCL) within the context of emerging economies, with a focus on Nigeria. Employing structural equation modeling (SEM), the research validates the reliability and distinctiveness of TQM and KM constructs and demonstrates their significant positive impacts on SCL. Importantly, the findings reveal a complementary synergy between TQM and KM practices, indicating that their combined application enhances supply chain learning outcomes more effectively than when implemented independently. The study contributes to the resource-based view by empirically supporting the strategic bundling of quality and knowledge resources as critical drivers of adaptive learning and operational resilience. Policy and managerial implications are discussed, highlighting the importance of integrated management frameworks to improve supply chain responsiveness and innovation. Future research avenues include longitudinal analyses, digital transformation influences, and sector-specific investigations.

International Journal of Applied Research in Business and ManagementVol. 6(4)
Walter Sisulu University (ZA)
Openalex Percentile: Top 45%
Quality and Supply Management
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