The journals in the list below have been accepted for publication in Operations and Supply Chain Management: An International Journal. We are currently in the process of assigning each of these entries into our upcoming issue. Once published, you can access the corresponding article for free through our repository. Please feel free to contact us via Contact Us page or our email for any inquiries.
1. Maturity Model for Industry 4.0 in the Indian Manufacturing Sectors MSME Supply Chain Network
Author(s): Surajit Bahulikar (Symbiosis International (Deemed University) (SIU), Lavale, Pune, Maharashtra, India),
Arundhati Chattopadhyay (National Productivity Council, Mumbai, Maharashtra, India),
Manoj Hudnurkar (Symbiosis Centre for Management and Human Resource Development (SCMHRD), Pune, Maharashtra, India)
Abstract:
Maturity models are vital for organisations in the Industry 4.0 age, facilitating assessing and improving their technological and procedural competencies. They assist in identifying areas of proficiency and establishing explicit objectives, allowing organisations to prioritise investments in technology, infrastructure, and talent efficiently. In an era where cyber risks and data security are crucial, these models are essential for risk mitigation, enabling firms to maintain competitiveness and resilience. A novel maturity model is presented for the Indian MSME sector, grounded in Baker's systematic approach and Nolan's Stage theories. The model delineates five maturation phases across ten dimensions, assessed using seventy-nine elements. The model underwent evaluation in a purposive sample study of 102 units from major manufacturing hubs to examine the maturity of manufacturing units in the MSME sector. The article presents the maturity results on multiple parameters like turnover of the business, generation running business, years of operation and types of manufacturing setup. The model serves as a thorough instrument for assessing an organisation's maturity level while also assisting practitioners in pinpointing essential areas for improvement and monitoring progress over time. It provides scholars with a comprehensive catalogue of dimensions and factors for assessing technological change, encompassing both the adoption of new technologies and the facilitation of substantial transition.
2. How do disruptions and last-mile delivery logistics affect shopping behaviour?
Author(s): Heider Al Mashalah (McMaster University, Canada),
Elkafi Hassini (McMaster University, Canada),
Deepa Bhatt Mishra (Montpellier Business School, France)
Abstract:
We investigated the effect of pandemic-related disruption on the frequency of non-grocery brick-and-mortar shopping. We conducted a quasi-longitudinal survey with structured questions that captured shopping experiences before and during the disruption. We employed machine learning algorithms and statistical tests such as chi-square, random forest model, and permutation test. Based on the permutation test, prior to the disruption, online shopping frequency was the sole feature statistically associated with brick-and-mortar shopping frequency. During the disruption, perceived safety of online shopping emerged as the only statistically significant feature. Delivery vehicle-induced traffic issues were not statistically associated with brick-and-mortar shopping frequency. Although crowdsourced deliveries were not significant, they exhibited a proportional relationship with shopping frequency according to SHAP values. Regular retrieval of orders from parcel lockers did not result in more frequent visits to brick-and-mortar stores. We investigated the effect of several aspects of online shopping on brick-and-mortar shopping frequency, including the frequency of online shopping, frequency of online-order deliveries, attitudes toward online shopping, and perceived issues arising from last-mile delivery logistics. Using a quasi-longitudinal survey and two machine learning-based models, we offer insights into how disruptions alter shopping behaviour and attitudes.
3. Barriers to Adopting Blockchain Technology for Combating Supply Chain Counterfeits
Author(s): Thi Thuy Hanh Nguyen (University of Economics and Law and Vietnam National University, Ho Chi Minh City, Vietnam)
Abstract:
E-commerce has expanded tremendously globally. It brings numerous benefits to customers, organizations, and governments, but it also raises many issues, especially counterfeit threats. Counterfeiting has a wide range of effects on shoppers, companies, and supply chain stakeholders, such as economic losses and human health risks. Blockchain technology (BC) has the potential for anti-counterfeiting solutions. However, it is still in its early phases, with slow and restricted acceptance, particularly in anti-counterfeiting. The purpose of this research is to investigate the primary barriers encountered when using BC to prevent supply chain counterfeiting. This study applies qualitative research methodologies. This study collects pertinent peer-reviewed research, official reports, and news. In addition, this study includes in-person interviews with experts in BC and supply chain management. The findings highlight the main barriers that businesses encounter when implementing BC in practice and research. As a result, this study offers practical strategies to encourage blockchain adoption to eliminate counterfeit items in e-commerce and supply chains.
4. Fostering Supply Chain Agility Through Transformational Leadership and Organizational Ambidexterity in the Indonesian Automotive Industry
Author(s): Mohamad Azizi (Institut Teknologi Sepuluh Nopember, Indonesia),
Syarifa Hanoum (Institut Teknologi Sepuluh Nopember, Indonesia),
Jerry Dwi Trijoyo Purnomo (Institut Teknologi Sepuluh Nopember, Indonesia),
Franco Gandolfi (McDonough School of Business Georgetown University, USA),
Mahmood Shubbak (College of Economics and Political Science, Sultan Qaboos University, Oman)
Abstract:
In 2025, Indonesia’s automotive components industry faces unprecedented supply chain and innovation challenges, driven by rapid Industry 4.0 adoption, the CASE (Connected, Autonomous, Shared, Electric) paradigm, and intensified global trade tensions. The Trump Trade War 2.0, marked by a 32% U.S. tariff on Indonesian exports, has disrupted supply chains and heightened the urgency for organizational agility and innovation among Tier-1 suppliers. This study examines how transformational leadership fosters organizational ambidexterity—the ability to balance exploration and exploitation—to enhance innovation performance. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) on data from 100 respondents, findings reveal that transformational leadership significantly strengthens ambidexterity, which fully mediates its indirect effect on innovation. However, transformational leadership does not directly impact innovation outcomes, reflecting the mature, process-driven nature of Tier-1 suppliers. These results highlight the critical role of leadership in building ambidextrous capabilities to drive innovation and resilience within globally exposed, digitally transforming supply chains in emerging markets.
5. Challenges and Strategic Responses in Halal Supply Chain Integration: A Multi-Dimensional Literature Review
Author(s): Irman Firmansyah (Jenderal Soedirman University, Indonesia),
Wiwiek Rabiatul Adawiyah (Jenderal Soedirman University, Indonesia),
Christina Tri Setyorini (Jenderal Soedirman University, Indonesia)
Abstract:
This study aims to provide a comprehensive understanding of the dynamics of halal supply chain (HSC) integration through a systematic literature review (SLR) approach. Using the PRISMA guidelines, the study analyzed 67 peer-reviewed journal articles from the Scopus database published between 2015 and 2024. The primary focus is to identify contemporary issues, major challenges, and proposed strategies in the integration of halal supply chains and halal logistics. The findings reveal that HSC integration extends beyond logistical operations, encompassing multidisciplinary dimensions such as regulatory clarity, stakeholder competencies, operational risks, supplier relationship complexity, and sociocultural challenges in multicultural environments. The strategies proposed in the literature include the adoption of emerging technologies such as blockchain and traceability systems, the enhancement of halal certification frameworks, human capital development, and collaboration among governments, industries, and academic institutions. This study offers a significant contribution by formulating an evidence-based integrative framework to support the development of effective, efficient, and sustainable halal supply chains at the global level. The findings provide strategic implications for policymakers, industry practitioners, and researchers in building a trustworthy and internationally competitive halal ecosystem.
6. How do disruptions and last-mile delivery logistics affect shopping behaviour?
Author(s): Heider Al Mashalah (McMaster University, Canada),
Elkafi Hassini (McMaster University, Canada),
Deepa Bhatt Mishra (Montpellier Business School, France )
Abstract:
We investigated the effect of pandemic-related disruption on the frequency of non-grocery brick-and-mortar shopping. We conducted a quasi-longitudinal survey with structured ques- tions that captured shopping experiences before and during the disruption. We employed machine learning algorithms and statistical tests such as chi-square, random forest model, and permutation test. Based on the permutation test, prior to the disruption, online shop- ping frequency was the sole feature statistically associated with brick-and-mortar shopping frequency. During the disruption, perceived safety of online shopping emerged as the only statistically significant feature. Delivery vehicle-induced traffic issues were not statistically associated with brick-and-mortar shopping frequency. Although crowdsourced deliveries were not significant, they exhibited a proportional relationship with shopping frequency ac- cording to SHAP values. Regular retrieval of orders from parcel lockers did not result in more frequent visits to brick-and-mortar stores. We investigated the effect of several aspects of online shopping on brick-and-mortar shopping frequency, including the frequency of online shopping, frequency of online-order deliveries, attitudes toward online shopping, and per- ceived issues arising from last-mile delivery logistics. Using a quasi-longitudinal survey and two machine learning-based models, we offer insights into how disruptions alter shopping behaviour and attitudes.
7. Enhancing Cross-Border Third-Party Logistics Performance: The Role of Supply Chain Visibility and Transparency
Author(s): Noor-Ul-Ain Hanif (Jinnah University for Women, Pakistan),
Syed Imran Zaman (Sichuan Tourism University, China),
Sherbaz Khan (Jinnah University for Women, Pakistan),
Syed Ahsan Ali Zaman (Kaunas University of Technology, Lithuania),
Muhammad Shujaat Mubarik (Heriot-Watt University, UK)
Abstract:
This study investigates key supply chain visibility and transparency factors influencing cross-border third-party logistics (3PL) performance. A two-step approach was used: first, a comprehensive literature review identified critical visibility and transparency factors; second, the Grey-DEMATEL method was applied to assess their relative importance and interrelationships. The findings reveal that key issues—such as audit cyclicality, predictive metrics, standardized policies, supply network status, and information sharing—are closely linked to communication gaps, logistical inefficiencies, long delivery cycles, elevated costs, lack of standardization, and ineffective work agreements. These findings underscore the critical role of supply chain visibility and transparency in effectively managing cross-border third-party logistics services utilized by e-commerce platforms. However, challenges such as restricted access to real-time data, information-sharing limitations, regulatory complexities, and security risks remain persistent barriers. The current research emphasizes that enhancing visibility and transparency within the supply chain is essential for improving the operational efficiency and service quality of cross-border third-party logistics in the context of global e-commerce.
8. Enhancing Hospital Supply Chains with 3PL Models Under Demand Uncertainty: A Case Study of a Tertiary Public Hospital in Thailand
Author(s): Nipapan Ananpalasak (Mahidol University, Nakhon Pathom, 73170, Thailand),
Duangpun Kritchanchai (Mahidol University, Nakhon Pathom, 73170, Thailand)
Abstract:
This study evaluates the integration of Third-Party Logistics (3PL) within hospital supply chain management under uncertain conditions, aiming to maintain service levels near 100% to prevent drug shortages and enhance patient care readiness. Employing a mixed-methods approach, it combines semi-structured interviews with logistics experts and simulations of four 3PL models for hospital Supply, Processing, and Distribution (SPD), including internal distribution (d), based on actual drug usage data. Results show that a hybrid model, which blends internal oversight with external logistics management, significantly enhances supply chain resilience and maintains optimal inventory levels. However, fully outsourcing logistics raises concerns about external control over internal drug distribution. The study concludes that integrating these 3PL/SPD models not only strengthens risk management but also adapts effectively to fluctuating demand. It offers a strategic framework for tertiary healthcare logistics, emphasizing the importance of aligning 3PL strategies with healthcare needs to optimize patient care outcomes and streamline logistics processes.
9. Optimizing Dual-Channel Retail Strategies: The Impact of Return ReSalability on Inventory and Contractual Decisions
Author(s): Mohannad Radhi (King Abdulaziz University, Saudi Arabia)
Abstract:
This research investigates a dual-channel retailer (DCR) operating both a physical store and an online store, where customers can return unwanted products for full refunds. By incorporating the re-salability of returned items into the analysis, this study expands the existing literature on dual-channel retailing. Focusing on the retailer’s strategy of delegating online store operations to a third-party logistics and service provider, we reexplore three contractual strategies: transaction-based fee, fixed-based fee, and gain-sharing. For each strategy, we determine the optimal inventory levels and, where applicable, the optimal fixed-fee. The primary purpose of this study is to compare decision-making outcomes with and without return re-salability, and to analyze how these decisions shift when re-salability is considered, using a combination of analytical and numerical methods. Through analytical analysis, it is found that when the retailer faces high logistical or purchasing costs, an online store may order more in a re-salable system than in a non-re-salable one. This underscores the importance of not assuming that order quantities are always lower in re-salable systems.
10. Procurement Process Digitalization in China’s Construction Supply Chains: Enabling Data-Driven Decision Making and Strategic Change
Author(s): Liu Qi (Faculty of Management Science, Dhonburi Rajabhat University,Thailand),
Tachakorn Wongkumchai (Faculty of Management Science, Dhonburi Rajabhat University,Thailand)
Abstract:
With the dual challenges of the global economy and the need for sustainability, digital procurement has become an essential means of increasing supply chain resilience and agility. For China's construction supply chain, which is characterized by complex subcontracting, high-value materials, and long-cycle projects, these factors make the impact of digital transformation particularly significant. This study proposes and empirically tests an integrated model based on the TOE framework, DOI theory, dynamic capabilities, and IPT perspectives to explore the impact of procurement process digitization (PPD) on data-driven decision-making (DM) and strategic change (SC). The study empirically analyzes empirical data from 383 Chinese construction supply chain firms using the PLS-SEM methodology. The results show that comparative advantage, compatibility, top management support, organizational readiness, information sharing culture, and partner readiness all significantly and positively influence the deeper implementation of PPD, while complexity does not significantly impede the advancement of digital sourcing.PPD plays a key role in facilitating data-driven decision making, and consequently, further drives strategic change. In addition to providing new perspectives for technology adoption research in large project industries, this study also provides practical insights into digital transformation, sustainability, and supply chain management. Further mediation effect analysis shows that PPD plays an important bridge role between data-driven decision-making and strategy change and that comparative advantage, compatibility, partner readiness, top management support, organizational readiness, and information-sharing culture drive strategy change through the dual mediation effects of PPD and data-driven decision-making. Finally, this study is further validated in terms of the reliability and validity of the results through robustness tests such as the endogeneity test and unobserved heterogeneity assessment.
11. A Comparative Analysis of Strategic Factors Influencing the Usage of Thailand’s Bangkok and Laem Chabang Port Logistics Systems
Author(s): Kanokporn Nakchatree (Department of Civil Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand),
Department of Civil Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand (Department of Civil Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand)
Abstract:
This study examines the strategic factors influencing port usage in Thailand's logistics system, responding to the critical need for enhanced port competitiveness in Southeast Asia's rapidly evolving trade environment. Quantitative research was used to collect data from 378 relevant stakeholders, including shipping lines, freight forwarders, exporters, importers, and port authorities, through questionnaires. Multiple regression analyses identified and evaluated the key strategic factors influencing port usage. The research reveals significant differences in the strategic positioning of Bangkok Port (BP) and Laem Chabang Port (LCP), highlighting the unique roles each plays in Thailand's logistics network. Findings indicate that location, capacity, efficiency, and connectivity are primary factors affecting port choice among logistics operators. While these findings are specific to Thailand's port system, they offer valuable insights for other developing economies with similar dual-port systems, particularly those balancing established river ports with newer deep-sea facilities. This study contributes to the understanding of port competitiveness in Thailand and offers insights for policymakers and port authorities to enhance the strategic value of these critical logistics hubs. The research underscores the need for targeted investments and policy interventions to optimize the complementary roles of Bangkok Port and Laem Chabang Port in supporting Thailand's economic growth and trade competitiveness.
12. Maritime Logistics Optimization for Bio-based Diesel Fuel Commodities in Indonesia: Costs and Vessel Suitability Analysis
Author(s): Artya Lathifah (Department of Industrial Engineering, Universitas Indonesia),
Komarudin (Department of Industrial Engineering, Universitas Indonesia),
Danang Sismartono (LEMIGAS Oil and Gas Testing Center, Ministry of Energy and Mineral Resources),
Muhammad Dliyaul Haq (Department of Information Management, National Sun Yat Sen University),
Nurul Lathifah (Department of Industrial Engineering, Universitas Indonesia),
Herbert Hasudungan (Department of Industrial Engineering, Universitas Islam Internasional Indonesia)
Abstract:
The distribution of bio-based diesel fuel commodities in Indonesia faces efficiency challenges due to fluctuating demand, geographically dispersed delivery points, and mismatches between shipment volumes and vessel capacities. Since maritime transport is a dominant mode in the national distribution network, optimizing sea-based logistics is crucial to reducing costs and ensuring reliable energy supply chains. This study addresses these challenges by focusing on maritime transportation and utilizing real-world allocation data from 2024 in Indonesia, consisting of 22 origin points and 51 destination points, with a total shipment volume of 9 million kiloliters. A monthly planning model based on recurring demand patterns is developed to design routes and number of deliveries, leveraging empirical data and addressing a real-world national logistics issue. A trip-based cost optimization model tailored to maritime logistics is employed to evaluate the effects of vessel suitability, consolidation strategies, and demand variability on delivery efficiency. This study shows that aligning vessel capacities with shipment volumes significantly reduces transportation costs, and implementing split deliveries when full consolidation is insufficient to meet monthly demand further enhances flexibility. Moreover, optimizing multi-destination routing combined with dynamic vessel selection and split delivery yields notable efficiency gains, achieving an overall cost reduction of more than 18% compared to the traditional point-to-point model. These findings highlight that consolidation, optimal vessel assignment and flexible split delivery can significantly enhance transportation efficiency. Finally, this study offers insights to improve the cost-efficiency of Indonesia’s bio-based diesel fuel that contributes to the reliability of its energy delivery systems.
13. Exploring The Influence of Information Exchange Determinants on Supply Chain Performance: An Empirical Study
Author(s): Nisrine Kourt (National School of Business and Management of Tangier Abdelmalek Essaadi University, Morocco),
Imad Ait Lhassan (National School of Applied Sciences of Tetouan Abdelmalek Essaadi University, Morocco)
Abstract:
In the field of supply chain management, information exchange is increasingly recognized as an intangible asset when it concerns specific operational and strategic data shared between partners. In this study, information exchange refers in particular to the sharing of demand forecasts, inventory levels, production plans, and order status updates between Moroccan manufacturing companies and their logistics partners. Organizations aim to develop such information-sharing practices to gain a comparative advantage within their supply chain, influencing the entire process, both upstream and downstream. Logistics, grounded in principles of flexibility and cost-effective adaptability, leverages accurate and timely information as a key driver for optimal performance. This paper addresses the following question: How can the exchange of specific supply chain information (e.g., demand forecasts, inventory data, production schedules) influence the supply chain performance of Moroccan manufacturing companies? A quantitative approach was employed with a positivist stance and a hypothetico-deductive reasoning framework. The study used the Smart PLS model to test the relationships between variables. Data were collected from a sample of 100 Moroccan manufacturing companies, enabling an analysis of interactions between these specific forms of information exchange and supply chain performance within the specific context of Morocco. The study’s findings reveal that targeted information exchange, particularly regarding operational and strategic supply chain data, within logistics partnerships has a positive impact on the supply chain performance of Moroccan manufacturing companies. Companies fostering structured and reliable information exchange with their logistics partners achieve superior performance, particularly in terms of flexibility, adaptability, and efficiency in logistics processes. The results confirm that specific information exchange is a critical factor in enhancing supply chain performance. By prioritizing the exchange of key supply chain information (e.g., demand forecasts, inventory levels, production and delivery data), Moroccan manufacturing companies can improve key logistical outcomes such as flexibility and efficiency, thereby gaining a competitive edge in their supply chain operations.