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INDONESIA
International Journal of Supply Chain Management
Published by ExcelingTech
ISSN : 20513771     EISSN : 20507399     DOI : -
Core Subject : Science, Social, Engineering,
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation
International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts accepted for publication in IJSCM must have clear implications for Supply chain managers based on one or more of a variety of rigorous research methodologies. IJSCM also publishes insightful meta-analyses of the SCM literature, conceptual/theoretical studies with clear implications for practice, comments on past articles, studies concerning the SCM field itself, and other such matters relevant to SCM.
Arjuna Subject : -
Articles 2,561 Documents
 253   254   255   256   257 
Sustainable Supply Chain Operations Through Artificial Intelligence: Pathways to EcoEfficient Logistics Sheikh, Abdullah; Rinvee, Tajbiha Mehonaj; Sheikh, Md Shakil
International Journal of Supply Chain Management Vol 14, No 5 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i5.6349

Abstract

Global supply chains face unprecedented volatility and environmental pressure. This paper proposes a conceptual framework that leverages artificial intelligence (AI) to achieve eco-efficient logistics, aligning competitive performance with environmental goals. The framework explains how AI-driven demand forecasting tools, dynamic routing, warehouse optimization, reverse logistics, and supply chain transparency directly lead to quantifiable results such as fuel savings, carbon emissions reduction, and waste reduction. The findings demonstrate that AI-based analytics can optimize critical functions like dynamic routing and predictive forecasting, leading to reduced fuel consumption, lower carbon emissions, and enhanced operational resilience. The methodology involved extracting common themes and applications from these real-world examples to validate and ground the proposed conceptual model, ensuring it is both theoretically sound and practically applicable. The paper concludes that AI is not only a technical tool but also a strategic path essential to a sustainable, competitive and truly sustainable future for global logistics.
A Study on ESG Adoption in Logistics Industry Towards a Carbon-Conscious Reporting Framework for Malaysian SMEs Vaz, Anthony; Lee Sit Choy, Allan
International Journal of Supply Chain Management Vol 14, No 5 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i5.6341

Abstract

As environmental, social, and governance (ESG) practices gain momentum globally, logistics service providers (LSPs) in Malaysia—particularly small and medium-sized enterprises (SMEs)—face growing pressure to adopt ESG frameworks and align with national sustainability mandates. This study investigates the key internal and external factors influencing ESG adoption among logistics SMEs, focusing on readiness for carbon-conscious reporting under the Simplified ESG Disclosure Guide (SEDG). Guided by Stakeholder and Institutional Theory, the study identifies four critical determinants: ESG knowledge and awareness, change readiness, resource availability, and stakeholder engagement.  A structured survey of 156 logistics professionals, combined with pilot testing and exploratory factor analysis, confirmed the reliability and validity of the constructs. Regression analysis revealed that all four factors significantly influence ESG adoption, with resource availability being the most dominant predictor. Findings show that knowledge gaps, resistance to change, limited financial resources, and weak stakeholder collaboration hinder effective ESG integration, especially regarding Scope 1–3 emissions reporting. To address these barriers, a five-year roadmap is proposed to help SMEs implement phased ESG strategies, build internal capabilities, and comply with upcoming regulatory requirements, including a potential carbon tax by 2027.  This research offers a practical framework for enhancing ESG maturity among logistics SMEs and provides actionable recommendations for policymakers, industry associations, and corporate stakeholders to support sustainable transformation in the Malaysian logistics sector.
A Study on the Education Supply Chain for Graduate Employability in Bangladesh's Higher Education System Chowdhury, Rashed; Habib, Md. Mamun
International Journal of Supply Chain Management Vol 14, No 5 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i5.6356

Abstract

This research examines the role of Educational Supply Chain Management (EduSCM) in enhancing graduate employability within Bangladesh's higher education system. Despite significant growth in the number of graduates, a skills gap persists, with many graduates facing underemployment or unemployment due to a mismatch between academic knowledge and industry demands. Through a mixed-methods approach combining qualitative insights from university administrators, faculty, industry professionals, and graduates with quantitative survey data from 300 participants, this study explores how aligning curriculum design, faculty quality, university infrastructure, and industry collaboration can improve graduate preparedness for the workforce. The findings reveal a notable disconnect between academic programs and industry needs, with curriculum relevance, faculty industry experience, and industry collaboration identified as key factors influencing employability. The study proposes actionable recommendations, including curriculum reform, enhanced industry partnerships, faculty development, and infrastructure modernization, to bridge the skills gap and improve the employability of graduates. By applying the EduSCM model, this research provides valuable insights for universities, policymakers, and industry stakeholders to optimize higher education and align it with labor market demands, contributing to Bangladesh’s economic growth and sustainable development.
Middleware Data Platform in Agricultural Supply Chain Kumar, Sanjeev
International Journal of Supply Chain Management Vol 14, No 5 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i5.6340

Abstract

Demographic and climatic changes, changes in resource distribution and soil condition of compost, depleting water resources, greater demand for customized products, need for traceability to maintain food safety and hygiene; all warrant the use of sophisticated modern technologies all along the food supply chain (SC). The integration of IoT, AI and such other technologies with blockchain can significantly improve operational efficiency of agriculture, allowing traceability and ensuring safety and quality control. Such integration also helps to realize maximum benefits from application of modern technologies to make entire agri SC more resilient. Successful application of various technologies hinges on efficient data analytics and technology integration and can be achieved using middleware for technology integration and seamless data flow within the SC. Though promising, it presents significant challenges that need to be handled to realize its full potential. This article establishes middleware data platform’s potential in integrating AI, IoT and blockchain technologies and enhancing operational efficiency of agri SC through enhanced transparency, efficiency, and security. Using a systematic AI-driven data analytics platform Middleware provides diagnostic intelligence to the farmers. Realizing middleware’s potential and utilizing it can greatly enhance functionality and performance of ASC, making it an essential tool for both developers and users. However, the technology being nascent, there is significant dearth of data, literature and evidence regarding the user experience and success rate of middleware, hence a significant knowledge gap. This article contributes towards bridging the gap, setting the floor for further research.
Procurement in the Age of Supply Chain Disruptions: Strategies for Building Resilient Networks Balkhair, Reema Mohammed
International Journal of Supply Chain Management Vol 14, No 5 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i5.6347

Abstract

In today’s age of volatility, where the slightest sign of uncertainty can unravel even the most meticulously developed plans, supply chains bear the burden of navigating a storm of intensifying geopolitical tensions, pandemics, environmental disasters, and economic flux. Earlier procurement models, portrayed disruptions as insulated-in-nature, with effects being confined to a certain region or supplier. However, as supply chains become more global and turbulent, a new procurement paradigm is needed, one that prioritizes resilience. Through practical examples and insights, this paper proposes an actionable farmwork for how organizations can become proactivity equipped for modern-day risks through employing a combination of strategies such as supplier diversification, emerging digital solutions, and inventory models, all of which effectively manage risks and maintain agility. It also explores the substantial upfront investment costs and administrative complexities as main deterrents of immediate implementation. However, it goes on to demonstrate how this farmwork establishes the foundations for long-term value, in both adaptability and stability, making them ultimately worthwhile.
Unearthing the Contribution of Driver Fatigue to the High Rate of Road Accidents in Zimbabwe: A Critical Analysis Mujakachi, Tapiwa Christopher; Chitanha, Zebediah
International Journal of Supply Chain Management Vol 14, No 5 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i5.6344

Abstract

This study sought to investigate the contribution of driver fatigue to the rate of road accidents in Zimbabwe. The attribution of human error to 90% of fatal road accidents motivated the researchers to seek to establish the relationship between driver fatigue and the chances of it contributing to high rate of fatal road accidents which are a major disruption of the supply chain. The Theory of Planned Behaviour (TPB) was used as the anchorage theory for the study while the Theory of Reasoned Action (TRA) was the supporting theory. A Critical Realism philosophy was adopted supported by a cross-sectional design and quantitative approach. A sample of 162 participants was drawn out of a target population of 250 using random sampling from which a response rate of 63% was achieved. Data collection was done using a structured questionnaire; whilst data analysis was done using the Statistical Package for Social Sciences (SPSS) Version 22. The major finding from the study was that driver fatigue significantly contributes to the chances of drivers being involved in fatal road accidents. However, in Zimbabwe this area has been to a greater extent ignored in previous research with more attention having been directed to human error which constitutes 97% of causes of road accidents. The conclusion drawn from thus study is that while Zimbabwe’s statistics give little attention to fatigue, it might be the underlying factor of human error as reflected by meta-data from international studies. This paper contributes new insights into the need for further rigorous studies in Zimbabwe on the actual contribution of driver fatigue to fatal road accidents making use of modern technologies such as artificial intelligence (AI) and new driving technologies.
Circular Warehouse Operations: ESG-Driven Optimization through Reusable Pallets Paida, Vishweswar Rao
International Journal of Supply Chain Management Vol 14, No 6 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i6.6363

Abstract

Sustainability, a key concept being implemented in all aspects of commercial activities around the world, aligns with nations’ objective of transition to a greener and cleaner world. A key facet of this transition is “circular flow” or what is commonly understood as recycling. This article establishes the benefits of integrating the same principles in logistics, through a comprehensive analysis of an Environmental, Social, and Governance or ESG aligned circular warehouse model implemented across six GoBolt warehouses in North America. Combining reusable plastic pallets and Gaylords, waste compaction and corrugated recycling, and 5S-based (Sort, Set in Order, Shine, Standardize, Sustain) workflow redesign yielded an average annual savings of $54,100 per warehouse, with an estimated 139 tons per year of CO? avoided per warehouse. Additionally, there was 12% productivity enhancement due to reduced picker walking and standardized 5S practices. Comparison with benchmarks of CHEP, iGPS, IFCO, and IKEA indicates that an in-house circular model can deliver competitive carbon reductions and attractive payback periods.
Intelligent Demand Forecasting for Sustainable Spare Parts Reuse in a Rational Consumption Environment BIN, LIN XI
International Journal of Supply Chain Management Vol 14, No 6 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i6.6360

Abstract

This study explores the development of intelligent demand forecasting methods in the context of the rise of rational consumption awareness, to establish the optimal spare parts reuse plan. As consumers pay more attention to sustainability and environmental protection, price and quality are no longer the only considerations; global inflation has also made consumer behavior more conservative, emphasizing budget control and long-term value. In response to the sluggish market demand, this study proposes a intelligent demand forecasting method to help companies understand consumer demand and design product reuse plans that are in line with their values. This study adopts the concept of "integrated forecasting" and designs two methods: (1) Hybrid Stacking (HS) Method: Combining traditional time series and machine learning techniques to improve forecast accuracy; (2) External Information Integration (EI-HS) Method: Incorporating external information into the HS model as an improvement baseline to further reduce forecast errors. Finally, the results of MASE and RGRMSE indicate that the methods proposed in this study hold strong application potential. The research results emphasize that the development of intelligent demand forecasting methods in the era of rational consumption is of key significance and points out the direction of sustainable improvement and expansion in the future, providing companies with more accurate forecasting tools and spare parts reuse decision-making basis.
Operational Efficiency of CapEx Procurement: The Impact of Lead Time and Requisition Quantity on Delivery Performance Chowdhury, Md. Hasan Maksud; Khan, Md. Rashad Yaqub
International Journal of Supply Chain Management Vol 14, No 6 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i6.6359

Abstract

A large number of lifestyle brands, such as Aarong, Yellow, Cats Eye, etc., are driving the apparel market of Bangladesh. Within this market, a huge number of capex procurements are required annually to meet companies' requirements. Each completed requisition includes a lead time, which is a critical factor impacting overall operational efficiency. This study determines the impact of the metrics, requisition quantity, and lead time on delivery performance. The purpose of the study was to discover the relationship between key variables that ease decision making and to establish the development of a concrete knowledge base intended to support strategies for managing diverse requisition quantity and lead time. Consequently, the study served the purpose of improving supply chain efficiency. To discover the relationship, supply chain and procurement theories were addressed. A total of 8,099 procurement records were analysed through the lens of a positivist research paradigm to ensure objectivity. A quantitative method was employed to conduct tests that generate accurate results supporting the purpose of this study. Predictions for the test were formulated to develop connection between lead time, requisition quantity on delivery performance. Chi-square tests were carried out to find out the connection. Findings revealed that the lead time and requisition quantity had a significant impact on delivery performance. Altogether, the study contributes to procurement and supply chain management literature by presenting evidence-based analysis into how operational factors and distinct item types may affect delivery efficiency.
The Role of Supply Chain Resilience and Integration in Enhancing the Supply Chain Performance: A Literature Review Khan, Tahsina; Habib, Md. Mamun
International Journal of Supply Chain Management Vol 14, No 6 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i6.6354

Abstract

This research aims to investigate the impact of supply chain resilience and integration on the performance of FMCG firms in Bangladesh. The primary objective is to synthesize existing literature to comprehend how these two interdependent capabilities enhance operational efficiency, delivery reliability, flexibility, innovation, and customer satisfaction in a developing economy. This research used a narrative and integrative review methodology, examining peer-reviewed journal articles, conference proceedings, and industry reports mostly published in the last decade. The technique included the thematic classification of literature into resilience, integration, and performance dimensions, followed by an iterative process of synthesis and interpretation. The study highlights findings that supply chain resilience, which includes adaptation, flexibility, visibility, redundancy, and recovery capacity, allows organizations to successfully absorb and recover from disturbances. The outcomes of the study emphasize the significant role of Supply chain integration to facilitate coordination, information exchange, and cooperation, hence enhancing resilience. Therefore, the research offers actionable insights for managers in cultivating robust and cohesive supply chains, governments in fostering enabling infrastructure and technology integration, and industry stakeholders in advancing collaborative networks.

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