Human Factor in Supply Chain Management: How Workers Training Impacts Supply Chain Efficiency
Keywords:
Behavioral Supply Chain Management, Human Factors, Human Resource Management Integration, Supply Chain Efficiency, Worker TrainingAbstract
Supply chain management (SCM) is a major backer of organizational performance, but the behavioral features of human beings (the cognitive, behavioral, and social aspects) have been ignored because all attention is placed on technology and processes. This conceptual paper looks into how worker training enhances supply chain efficiency by tackling human weaknesses such as decision-making biases and coordination problems. Using Resource-Based View (RBV) and Ability-Motivation-Opportunity (AMO) perspectives, we integrate the literature on human factors in SCM, types of training (skill-based, behavioral, and cross-functional), and how they operate to enhance performance. A proposed conceptual model views training as an antecedent that has a positive effect on efficiency through mediators of human capital development, motivation, quality of decision making, and supply chain integration, with moderation by culture, leadership support, and complexity in the supply chain. The paper furthers the development of the behavioral SCM domain by bridging the literatures on HRM and SCM, offering testable propositions and practical recommendations regarding investment in simulation-based training. Despite its conceptual nature, the framework advances the strategic importance of human capital in developing resilient and efficient supply chains.
Downloads
Published
Issue
Section
Most read articles by the same author(s)
- Samira Sanni, A Review on machine learning and Artificial Intelligence in procurement: building resilient supply chains for climate and economic priorities , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Julius Femi Ademilua, Abidemi Ojo Olatunji, Edwin King Ehiorobo, Samira Sanni, The Influence of Environmental Management Practices and Supply Chain Integration on Technological Innovation Performance , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
Similar Articles
- Simbiat Atinuke Lawal, Samuel Omefe, Adeseun Kafayat Balogun, Comfort Michael, Sakiru Folarin Bello, Itunu Taiwo Owen, Kevin Nnaemeka Ifiora, Circular Supply Chains in the Al Era with Renewable Energy Integration and Smart Transport Networks , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Julius Femi Ademilua, Abidemi Ojo Olatunji, Edwin King Ehiorobo, Samira Sanni, The Influence of Environmental Management Practices and Supply Chain Integration on Technological Innovation Performance , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Samuel Omefe, Simbiat Atinuke Lawal, Sakiru Folarin Bello, Adeseun Kafayat Balogun, Itunu Taiwo, Kevin Nnaemeka Ifiora, AI-Augmented Decision Support System for Sustainable Transportation and Supply Chain Management: A Review , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Abubakar Tahiru, Oluwasanmi M. Odeniran, Shardrack Amoako, Developing Artificial Intelligence-Powered Circular Bioeconomy Models That Transform Forestry Residues into High-Value Materials and Renewable Energy Solutions , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Aniekan Udongwo, https://dx.doi.org/10.4314/cps.v12i2.17 , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Enefiok Archibong Etuk, Omankwu, Obinnaya Chinecherem Beloved, Human-AI Collaboration: Enhancing Decision-Making in Critical Sectors , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Ayomide Ayomikun Ajiboye, Muslihat Adejoke Gaffari, Onaara Enitan Obamuwagun, Predictive Analytics in Sport Management: Applying Machine Learning Models for Talent Identification and Team Performance Forecasting , Communication In Physical Sciences: Vol. 12 No. 7 (2025): Volume 12 issue 7
- Samira Sanni, A Review on machine learning and Artificial Intelligence in procurement: building resilient supply chains for climate and economic priorities , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Adebayo Adegbenro, Arinze Madueke, Aniedi Ojo, Cynthia Alabi, AI-Driven Wealth Advisory: Machine Learning Models for Personalized Investment Portfolios and Risk Optimization , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Raymond Sugar Ebere Amougou, AI-Driven DevOps: Leveraging Machine Learning for Automated Software Delivery Pipelines , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
You may also start an advanced similarity search for this article.



