1. OSCM Publications
  2. Volume 17, Issue 1, 2024

Volume 17, Issue 1, 2024

  1. A Novel Prescriptive Supply Chain Analytics Model for Monitoring the Relationship Between Influential Variables Across the Supply Chain Network
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0590441
    The goal of supply chain monitoring is to provide an efficient tracking system for ensuring a secure flow of goods and services throughout the supply chain. Supply chain monitoring helps identify and address unexpected events early. There are five main components in supply chain networks including manufacturing, warehousing, procurement, logistic / transportation and demand. Numerous factors in each of the five components of the supply chain have direct impacts on sales and production. This paper presents a comprehensive method to monitor and analyze the impacts of these factors on both sales and production, ultimately aiming to identify areas for cost reduction and improvement. To achieve this goal, the sales and production are modeled and evaluated. Then, products with out-of-control behavior are simultaneously identified. Finally, to optimize out-of-control products, we considered the most influential factors affecting sales and production. The optimal values for out-of-control products are selected, which minimize operating costs while simultaneously maximizing operating profits within the supply chain. A case study in the personal care industry shows that the method increases the operation profit rate for out-of-control products.
    @article{oscm-2024-23,
  title={A Novel Prescriptive Supply Chain Analytics Model for Monitoring the Relationship Between Influential Variables Across the Supply Chain Network},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0590441}
}
     (2024). A Novel Prescriptive Supply Chain Analytics Model for Monitoring the Relationship Between Influential Variables Across the Supply Chain Network. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0590441
  2. Supplier Development and the Adoption of Sustainable Supplier Practices – A Power Perspective
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0590442
    Although supplier development is a mature tool to increase performance and capabilities, little is known about the impact on sustainable supplier practices and the role of buyer power use. This study investigates the relationships between buyer power, supplier development and sustainable supplier practices. We developed and tested a conceptual model with survey data from 130 managers in Dutch supplying companies. The results indicate a positive impact of direct (active involvement) and indirect (communication) supplier development on sustainable supplier practices. Furthermore, we found paths that run from coercive and non-coercive power and (direct and indirect) supplier development to the adoption of sustainable supplier practices. Apparently, companies stimulate sustainable supplier practices through supplier development, further enhanced by the use of their buying power.
    @article{oscm-2024-24,
  title={Supplier Development and the Adoption of Sustainable Supplier Practices – A Power Perspective},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0590442}
}
     (2024). Supplier Development and the Adoption of Sustainable Supplier Practices – A Power Perspective. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0590442
  3. Sustainable Healthcare Supply Chain Innovations: A Systematic Literature Review
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0590443
    The concept of sustainability-oriented innovation (SOI) requires intentionally applying new or improved changes at both organizational and process levels to create social and environmental value and promote economic returns. Within the healthcare sector, however, organizational priorities are often directed toward short-term goals and easily accessible resources, and responsibilities relating to sustainable development tend to be disregarded. Due to the complexity of the sustainability concept within the healthcare context, research explicitly focused on this topic remains scarce. This research presents a systematic literature review (SLR) of SOI sustainable healthcare supply chain innovations, revealing current research themes in the field. The content-based conceptual guide analysis identifies the current research and knowledge gaps by analyzing collected literature and developing an understanding of sustainable healthcare supply chain innovations. The findings encompass both technological and organizational practices and models in healthcare. The conceptual guideline for future practices and research is presented through building on two theoretical concepts: circularization and the diffusion of innovation. Furthermore, the SLR reveals potential future research avenues which improve both the practical implementation and theoretical understanding of SOI within the healthcare supply chain.
    @article{oscm-2024-25,
  title={Sustainable Healthcare Supply Chain Innovations: A Systematic Literature Review},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0590443}
}
     (2024). Sustainable Healthcare Supply Chain Innovations: A Systematic Literature Review. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0590443
  4. Development-or-Switching Decisions Under Uncertainty for Dealing with Problematic Suppliers Considering the Strategic Potential
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0590444
    This study investigates managing the relationship with problematic suppliers. Three options are supposed, development, switching, or bearing the current situation. We consider a two-dimensional supplier evaluation structure to develop an analytical formulation for resolving the issue. The proposed solution is presented in two sections: the first section utilizes the lost market share considering the supplier performance and the second section examines the role of strategic potential as a critical indicator of suppliers besides the performance using the earned market share to make the development-or-switching decision. Results revealed that strategic potential plays a critical role in the considered decision. We develop a decision map based on the strategic potential of the incumbent and alternative suppliers. We realize that the effectiveness of the development decision is independent of the performance and relies mainly on the strategic potential of the incumbent supplier. Furthermore, besides the strategic potential of the incumbent supplier, the performance of the alternative supplier has a double effect on the optimality area of switching in the decision map. Finally, our work is numerically compared to a well-known model in the literature.
    @article{oscm-2024-26,
  title={Development-or-Switching Decisions Under Uncertainty for Dealing with Problematic Suppliers Considering the Strategic Potential},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0590444}
}
     (2024). Development-or-Switching Decisions Under Uncertainty for Dealing with Problematic Suppliers Considering the Strategic Potential. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0590444
  5. Theorizing Supply Chain Management and Logistics Research: A Comprehensive Review of Trends, Gaps, and Future Directions
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0590445
    This study aims to explore the development and application of theory in logistics and supply chain management (SCM) research from 2010 to 2022. It examines the frequency and diversity of theory to uncover trends and patterns in academic discourse. A broad systematic review of five prominent journals in the field of logistics and SCM was conducted. The objective was to determine the frequency of theory application and to categorize the specific theories used. The paper presents an analysis of these theory categories to highlight the nature and frequency of theory application. The study shows that certain theories have become more prevalent over time, while others have become less relevant. It highlights the diversity of theories in use and illustrates how their use has evolved in the context of changing global and technological trends. Our findings underscore the importance of theoretical foundations for effective logistics and SCM strategies and advocate the application of relevant theories in practice. The article provides a unique perspective on the evolution of discipline and serves as a guide for future research directions in the field.
    @article{oscm-2024-27,
  title={Theorizing Supply Chain Management and Logistics Research: A Comprehensive Review of Trends, Gaps, and Future Directions},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0590445}
}
     (2024). Theorizing Supply Chain Management and Logistics Research: A Comprehensive Review of Trends, Gaps, and Future Directions. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0590445
  6. Digitalization and the Medical Supply Chain Management: Systematic Literature Review and Bibliometric Analysis
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580431
    This study uses a systematic literature review and bibliometric analysis to examine the current medical supply chain issues. The goal is to identify past trends and research gaps, focusing on lowering costs, improving efficiency, and eliminating drug shortages or oversupplies through digitalization. This study employs a systematic literature review and bibliometric analysis to identify key terms in medical supply chain academic research, analyzing 51 out of 904 articles from 2,160 publications. Past medical supply chain research has primarily focused on logistics, inventory, and cost management. The COVID-19 pandemic has heightened the complexity of the medical supply chain, highlighting the need for reverse logistics and sustainability while digitalization improves connectivity and resource management. Blockchain technologies are revolutionizing supply chains, improving visibility, reducing costs, enhancing patient satisfaction, and facilitating integrated healthcare systems.
    @article{oscm-2024-28,
  title={Digitalization and the Medical Supply Chain Management: Systematic Literature Review and Bibliometric Analysis},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580431}
}
     (2024). Digitalization and the Medical Supply Chain Management: Systematic Literature Review and Bibliometric Analysis. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580431
  7. Green E-commerce Supply Chain Management
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580432
    The continuous rise of e-commerce, driven by changing consumer behavior, has brought significant value to the supply chain. However, it also generates substantial waste through packaging, energy consumption, and vehicle usage. This research aims to mitigate the environmental impact of e-commerce by reducing its carbon footprint. A detailed green e-commerce model is proposed to lower environmental impacts, enhance economic performance, and improve competitiveness. Using the Life Cycle Assessment (LCA) discipline, activities are analyzed from cradle to grave, focusing on packaging, transportation, and disposal as primary sources of carbon emissions. In a case study, green strategies were implemented in key activities, demonstrating that reducing transportation distances and eliminating unnecessary packaging are critical to lowering carbon footprints. The study achieved a reduction of 0.1116 kg CO2 equivalent per transaction, totaling 297,532 t CO2 equivalent in 2023. This reduction equates to a carbon credit of 32 million THB and significant cost savings of 18 million THB by eliminating materials such as plastic bags, sleeves, and order receipts.
    @article{oscm-2024-29,
  title={Green E-commerce Supply Chain Management},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580432}
}
     (2024). Green E-commerce Supply Chain Management. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580432
  8. Energy Issues in Sustainable Retailing: A Systematic Literature Review
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580433
    In addition to playing a very important role as an intermediary between producers and end consumers, retail has an economic role, for example in terms of providing employment opportunities and contributing to GDP (gross domestic product). However, retail also faces several issues related to sustainability, such as consumerism, food waste, energy efficiency and carbon emissions in retail transportation activities. These issues are always related to energy. For example, carbon emissions from transportation activities are closely related to fuel consumption, and storing goods in cold storage is related to energy efficiency. This fact makes research on energy issues in the context of retail operations that support sustainability important. Therefore, in this paper, we comprehensively review and synthesize the literature on sustainable retailing by focusing on energy issues. The articles were collected from the Scopus database and filtered using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) framework. The analysis continued by applying k-means text mining to form research topic groups in a retail sustainability context. After that, the characteristics of the papers in each group are analyzed. The results show that articles related to sustainable retailing can be grouped into four clusters, with the following characteristics: 1) energy issues related to food waste; 2) energy issues related to cooled storage; 3) energy issues related to general energy issues and energy efficiency, including green models in retail buildings; and 4) energy issues related to transportation in retail. Finally, the research gap and potential research directions related to sustainable retailing issues are explained.
    @article{oscm-2024-30,
  title={Energy Issues in Sustainable Retailing:  A Systematic Literature Review},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580433}
}
     (2024). Energy Issues in Sustainable Retailing:  A Systematic Literature Review. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580433
  9. Blockchain Technology as a Tool to Make Supply Chains More Resilient and Sustainable
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580434
    Supply Chain Management (SCM) is a critical part of all businesses that dictates their success and customer satisfaction. The COVID-19 pandemic and other disruptions exposed critical shortcomings in SCM, such as material and labor scarcity, high freight prices, and demand forecasting complexities. These developments have called for an urgent need to explore ways to make supply chains more resilient. Digital technologies like blockchain, QR codes, and RFID tags are recognized for enhancing transparency and traceability. The paper focuses on enhancing the resilience of supply chains, emphasizing transparency and reliability. It presents a case study of a regional Australian food processing company and evaluates a blockchain-based SCM model to address its upstream supply chain and logistics issues. A smart contract of the proposed model is validated via simulation on Remix IDE. The model promotes total quality by facilitating real-time tracking for rapid fault identification, enabling timely, cost-efficient procurement of raw materials and inventory, and reducing waste. The framework enshrines the principles of the green supply chain, crucial for the SDGs of the UN’s 2030 Agenda.
    @article{oscm-2024-31,
  title={Blockchain Technology as a Tool to Make Supply Chains More Resilient and Sustainable},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580434}
}
     (2024). Blockchain Technology as a Tool to Make Supply Chains More Resilient and Sustainable. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580434
  10. Examining the Impact of Sustainable Supply Chain Management Practices and Supply Chain Ambidexterity on Sustainability Performance
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580435
    In recent years, both businesses and academia have started to recognize sustainability as a crucial aspect of gaining a competitive advantage in the supply chain. This study aims to assess the effects of sustainable supply chain management (SSCM) practices on textile sectors’ sustainability performance. It also assesses how supply chain ambidexterity mediates the connection between SSCM, from a triple bottom line (TBL) standpoint, and firm sustainability performance outcomes. Using the resource-based view and stakeholder theories, the study employed 240 survey responses from firms operating in textile industry in Pakistan and the validity and reliability of the data were confirmed, and the hypotheses were evaluated, using PLS-SEM. The findings show that SSCM practices have a major favorable influence on Sustainability Performance (SP) and Supply Chain Ambidexterity (SCA). Furthermore, in Pakistan's textile industry, SCA acts as a mediator in the relationship between SSCM and Sustainability Performance. Through an analysis of the fundamental factors and connections that lead to the development of the intricate connection between SSCM practices from a triple bottom line viewpoint and a company's sustainability performance, this research contributes to the current literature on SSCM and SCA, especially in the context of Pakistan's textile industry, by identifying the mediation effect of SCA on SSCM and SP.
    @article{oscm-2024-32,
  title={Examining the Impact of Sustainable Supply Chain Management Practices and Supply Chain Ambidexterity on Sustainability Performance},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580435}
}
     (2024). Examining the Impact of Sustainable Supply Chain Management Practices and Supply Chain Ambidexterity on Sustainability Performance. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580435
  11. Optimizing Distribution Center Locations for Disaster Relief: A Multi-Objective Model and Case Study in Istanbul
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580436
    Effective distribution center location planning is crucial in disaster management, as it significantly influences the transportation, storage, and delivery of relief supplies to affected areas. This study uses a novel multi-objective mathematical programming model to optimize the concurrent selection of main distribution centers (MDCs) and local distribution centers (LDCs). The model addresses six key objectives: minimizing distances between demand points, LDCs, and MDCs; determining optimal numbers of LDCs and MDCs; reducing unsatisfied demand; improving citizens' accessibility to LDCs; and evaluating the suitability of selected centers for humanitarian operations. A goal programming approach is used to solve the model effectively. The model's applicability and efficacy are demonstrated through a case study in Istanbul, a region prone to seismic activity, with detailed sensitivity analyses validating its performance. By tackling the complexities of distribution center location planning in disaster management, this study enhances the efficiency and resilience of humanitarian logistics, ensuring the timely and effective delivery of relief supplies during crises.
    @article{oscm-2024-33,
  title={Optimizing Distribution Center Locations for Disaster Relief: A Multi-Objective Model and Case Study in Istanbul},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580436}
}
     (2024). Optimizing Distribution Center Locations for Disaster Relief: A Multi-Objective Model and Case Study in Istanbul. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580436
  12. Blood Supply Chain Optimization Model with Transshipment and Multiple Blood Products
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580437
    The blood supply chain is a complex, integrated system, involving multiple echelons that requires optimization to obtain optimal solutions. This study develops a mixed-integer linear programming (MILP) model for blood supply chains with multi-echelons including donors, blood centers, and hospitals. The model also considers multiple blood products, vehicle routing, and transshipment between blood centers, with the aim of minimizing the total costs of the blood supply chain. The results of the computational model indicate that there is a significant relationship between the number of blood centers and the total cost of the blood supply chain. In addition, the volume of blood products distributed between blood centers is inversely proportional to the volume of blood products produced in each blood center.
    @article{oscm-2024-34,
  title={Blood Supply Chain Optimization Model with Transshipment and Multiple Blood Products},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580437}
}
     (2024). Blood Supply Chain Optimization Model with Transshipment and Multiple Blood Products. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580437
  13. Big Data Analytics Capabilities, Green Intellectual Capital, Supply Chain Innovations and Sustainable Supply Chain Performance
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580438
    Based on the Dynamic Capability View and sustainable supply chains in multinational enterprises (MNEs), a theoretical framework is proposed to examine how big-data analytics capabilities affect MNEs' sustainable supply chain performance through green intellectual capital and supply chain innovation. 331 completed questionnaires were collected from IT, logistics, and supply chain managers. Using structural equation modeling (SEM), the study shows that big-data analytics capabilities positively impact the development of firms' green intellectual capital. Further, green intellectual capital contributes to sustainable supply chain performance, and supply chain innovations moderate the relationship. Moreover, green intellectual capital proves advantageous in mediating the influence of big-data analytics capabilities on sustainable supply chain performance when supply chain innovations moderate this influence. The findings provide novel insights into the big-data analytics capabilities, green intellectual capital, supply chain innovations, and sustainable supply chain performance nexus in the Gulf Cooperation Council (GCC) context. The managerial implications for promoting sustainable supply chain performance via green intellectual capital and innovations are critically examined.
    @article{oscm-2024-35,
  title={Big Data Analytics Capabilities, Green Intellectual Capital, Supply Chain Innovations and Sustainable Supply Chain Performance},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580438}
}
     (2024). Big Data Analytics Capabilities, Green Intellectual Capital, Supply Chain Innovations and Sustainable Supply Chain Performance. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580438
  14. Systematic Review of Supply Chain Control Tower Critical Success Factors and Resilience Effects
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580439
    Supply chain control towers (SCCTs) are emerging as vital components of modern supply chain management (SCM). However, research on SCCTs is limited and disjointed. This paper explores critical success factors (CSFs) necessary for high-performing SCCTs and examines their impact on supply chain resilience (SCRES). Through a comprehensive systematic literature review, this research inductively identifies and classifies 14 CSFs into a framework consisting of organizational, process, and technological dimensions. We further map complex relationships among these CSFs, revealing how SCCT performance relies on CSFs interacting synergistically as dynamic capabilities. Moreover, this study extends the theory related to SCRES under dynamic and disruptive market conditions by discretely connecting SCCT outcomes to supply chain readiness, responsiveness, recovery, and renewal. By integrating both theoretical and practical perspectives, this study contributes to existing SCM knowledge by providing both a structured approach to identifying and implementing CSFs for SCCTs and explaining the role of SCCTs in advancing SCRES. This paper, therefore, serves as a valuable resource for both researchers and industry practitioners in understanding SCCT operations and outcomes in achieving efficient, robust, and resilient supply chains.
    @article{oscm-2024-36,
  title={Systematic Review of Supply Chain Control Tower Critical Success Factors and Resilience Effects},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580439}
}
     (2024). Systematic Review of Supply Chain Control Tower Critical Success Factors and Resilience Effects. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580439
  15. Institutional Pressures, Top Management Leadership and Sustainable Supply Chain Management Practices of Manufacturing Firms: Evidence from a Developing Economy
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0580440
    The study examined the mediating role of top management leadership between institutional pressures and sustainable supply chain management practices. Specifically, it examined how top management leadership mediates the relationship between institutional pressures and sustainable procurement, sustainable manufacturing operations and reverse logistics. It also assessed how institutional pressures and top management leadership influence sustainable supply chain management practices. The research was quantitative, with data gathered from 386 medium and large-sized manufacturing facilities located in the Greater Accra, Ashanti, and Western regions of Ghana. Structural equation modelling was used as the analytical tool. The study's findings show that institutional pressures significantly affect the components of sustainable supply chain management. It also demonstrated that top management leadership significantly affects sustainable supply chain management aspects except for sustainable manufacturing operations. Furthermore, the research findings indicate that, except for sustainable manufacturing operations, the relationship between institutional pressures and other aspects of sustainable supply chain management is significantly mediated by top management leadership.
    @article{oscm-2024-37,
  title={Institutional Pressures, Top Management Leadership and Sustainable Supply Chain Management Practices of Manufacturing Firms: Evidence from a Developing Economy},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580440}
}
     (2024). Institutional Pressures, Top Management Leadership and Sustainable Supply Chain Management Practices of Manufacturing Firms: Evidence from a Developing Economy. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580440
  16. A Bibliometric Analysis: Mapping the Evolution of Maritime Supply Chain Research Trends Across Academic Tides
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570421
    The maritime industry has been vital in facilitating and enabling economic development and global trade. Although the industry and its supply chain are not new concepts, they have gained significant attention from academic researchers over the past decade. As a result, numerous scholarly explorations and investigations have been published. This study aims to analyze publication trends, scientific impact, and existing themes and address gaps within maritime supply chain publications. a bibliometric method is applied to 382 articles extracted from two popular databases, Scopus and Web of Science. The study uncovered a growing focus on the maritime supply chain, with particular attention given to maritime logistics. The literature revealed several recurring themes: blockchain integration, supply chain risk management, and green logistics. However, there is still a need for more empirical investigation into sustainable performance, especially in areas like the green maritime supply chain. Future studies should expand on existing conceptual explorations and incorporate empirical investigations. The findings have two main benefits: they provide researchers with opportunities for further investigation and enable policymakers and port authorities to monitor global maritime supply chain trends and progress. By doing so, they can learn from others' initiatives and improve their current practices.
    @article{oscm-2024-38,
  title={A Bibliometric Analysis: Mapping the Evolution of Maritime Supply Chain Research Trends Across Academic Tides},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570421}
}
     (2024). A Bibliometric Analysis: Mapping the Evolution of Maritime Supply Chain Research Trends Across Academic Tides. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570421
  17. Impact of Interactional Justice on Long-Term Orientation and Logistics Performance in the Supply Chain
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570422
    The aim of this study is to empirically analyze the impact of justice on long-term orientation and logistics performance in the relationships between firms within the supply chain. Specifically, justice is categorized into distributive justice, procedural justice, and interactional justice. This study particularly concentrates on interactional justice, which pertains to the quality of interpersonal treatment. To investigate their correlation, a survey was conducted among employees working in departments related to supply chains in South Korea, resulting in a total of 350 valid questionnaire responses. Subsequently, the hypotheses were assessed using structural equation modeling with SPSS 18.0 and AMOS 18.0. The findings of the study are as follows: The subfactors of interactional justice, such as interpersonal justice and informational justice, both had a positive impact on long-term orientation. Furthermore, long-term orientation positively influenced logistics performance. Based on the aforementioned results, the following conclusions can be drawn: Long-term orientation among firms in the supply chain plays a pivotal role in enhancing logistics performance. Given that the perception of justice heightens the likelihood of such long-term orientation, firms in the supply chain must take this relationship into careful consideration.
    @article{oscm-2024-39,
  title={Impact of Interactional Justice on Long-Term Orientation and Logistics Performance in the Supply Chain},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570422}
}
     (2024). Impact of Interactional Justice on Long-Term Orientation and Logistics Performance in the Supply Chain. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570422
  18. Location-Routing Problem for Integrated Supply Chain Network Design with First and Last Mile: A Critical Literature Review
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570423
    Supply chain management includes strategic, tactical, and operational decisions for long, medium, and short-term planning. Strategic decisions, such as network design, and operational decisions, such as last-mile routing, have mutual implications. Therefore, modelling them separately can lead to sub-optimal solutions. The integrated modelling of these decisions has been addressed as a location routing problem (LRP). This paper aims to identify the solution strategies and methods to solve the LRP, as well as related challenges and research opportunities based on a critical literature review. The findings reveal that 46% of the reviewed publications have adopted a multistage modelling approach to address the LRP, sequentially tackling strategic and operational decisions. Moreover, in addition to the challenge of modelling diverse decision levels, the LRP models need to incorporate variables such as time windows, delivery failure rates, demand density, etc. Five research opportunities are proposed: i) modelling the first and last mile with a strategic approach when making strategic network decisions, ii) integrating environmental and social objectives into the modelling framework, iii) applying the solution methods and algorithms to complex real-world cases, iv) exploring competitive and cooperative models in LRP, and v) evaluating the use of emerging technologies.
    @article{oscm-2024-40,
  title={Location-Routing Problem for Integrated Supply Chain Network Design with First and Last Mile: A Critical Literature Review},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570423}
}
     (2024). Location-Routing Problem for Integrated Supply Chain Network Design with First and Last Mile: A Critical Literature Review. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570423
  19. Simulation-Based Optimization of Logistics Decisions under Horizontal Collaboration Following the Can-Order Policy
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570424
    In today's competitive and environmentally conscious business landscape, companies constantly seek more efficient ways to conduct their daily operations. Horizontal Logistics Collaboration (HLC), in which firms at the same supply chain level share resources such as trucks and information, has proven effective in achieving synchronized deliveries, optimizing transport equipment usage, and reducing carbon footprint. This study implements HLC between two neighboring companies ordering different products from the same supplier. The study adopts the can-order policy, employing three threshold values to define each company's ordering policy and potential joint orders. To better reflect real-world operational aspects, a simulation-based optimization approach is employed, allowing experimentation with various realistic scenarios. The developed model assumes stochastic demand and lead time for both companies and assesses the benefits of HLC from both economic and environmental standpoints, one at a time. Computational experiments consistently demonstrate cost savings through collaboration, especially when both companies are similar with low unit holding costs. From an environmental standpoint, adopting the collaborative model can reduce carbon emissions by up to 27%, particularly when both companies are identical and have low demand and low products' weight. Statistical analysis using paired t-tests confirms the significant differences in cost and carbon emissions after implementing HLC.
    @article{oscm-2024-41,
  title={Simulation-Based Optimization of Logistics Decisions under Horizontal Collaboration Following the Can-Order Policy},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570424}
}
     (2024). Simulation-Based Optimization of Logistics Decisions under Horizontal Collaboration Following the Can-Order Policy. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570424
  20. Optimizing Procurement Strategies for Diverse Product Segments: A Case Study in Pharmaceutical Supply Chain Management
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570425
    Selecting the most suitable procurement strategy is crucial to the efficient management of supply chain operations and the prevention of stock shortages. Nevertheless, when dealing with a wide variety of products, this task becomes an intricate challenge. While traditional and advanced procurement tools are available, applying them across such diverse product ranges is often impractical. This research is dedicated to determining distinct procurement strategies tailored to each product cluster. These strategies will be designed to accommodate the technical and financial constraints specific to each cluster. To address the optimization challenges associated with clustering algorithms, especially within complex search spaces, metaheuristic algorithms are considered as promising solutions. In this paper, Accelerated Particle Swarm Optimization (APSO) is harnessed for its exploratory capabilities, and Teaching Learning Based Algorithms (TLBO) are leveraged for their high exploitation competence. This innovative approach effectively combines the strengths of both algorithms, ensuring optimal clustering solutions in an efficient manner. The suggested approach outperforms the accuracy of the well-known metaheuristics including Grey Wolf Optimizer and the Whale Optimization Algorithm. This methodology successfully identifies five major clusters and assigns the appropriate procurement strategy to each cluster. The selection of a suitable procurement strategy for each product cluster significantly enhances overall procurement performance. This study introduces a powerful approach to assist managers in adapting procurement strategies for different product clusters. This approach has been implemented within organizations specializing in pharmaceutical freight and holds potential applicability across various product types. This innovation has the capacity to significantly impact and enhance global procurement performance.
    @article{oscm-2024-42,
  title={Optimizing Procurement Strategies for Diverse Product Segments: A Case Study in Pharmaceutical Supply Chain Management   },
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570425}
}
     (2024). Optimizing Procurement Strategies for Diverse Product Segments: A Case Study in Pharmaceutical Supply Chain Management   . Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570425
  21. The Role of Supply Chain Transparency in the Relation between Supply Chain Analytics Capabilities and Firm Performance
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570426
    Ever-increasing data change the business environment with a great acceleration. This unavoidable data growth brings uncertainties and causes heavy pressure on firms. In this context, supply chain analytics have much more attention in order to manage data in the field of supply chain management. Despite the growing interest in analytics capabilities, the studies are in its early stages. The current study investigated the role of supply chain transparency in the relation between supply chain analytics capabilities and firm performance. The data was gathered via survey from 100 participants from different companies and the PLS-SEM was used in order to investigate theoretical framework. The results indicate that enhanced supply chain analytic capabilities have positive impacts on the firm performance and the supply chain transparency positively moderates this relationship.
    @article{oscm-2024-43,
  title={The Role of Supply Chain Transparency in the Relation between Supply Chain Analytics Capabilities and Firm Performance},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570426}
}
     (2024). The Role of Supply Chain Transparency in the Relation between Supply Chain Analytics Capabilities and Firm Performance. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570426
  22. Healthcare Supply Chain Disruption Risks
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570427
    The healthcare sector stands as a cornerstone of every nation’s economy, while playing a vital role in fostering the health and wellbeing of populations. Numerous studies have addressed the effective management of healthcare supply chains to ensure optimal healthcare provision. Implementing efficient strategies not only reduces costs but also enhances quality, efficiency, and adaptability. However, the COVID-19 pandemic has exposed significant shortcomings in Healthcare Supply Chain (HSC) risk management strategies. This pandemic has shown that the HSC was unprepared for such disruption and that the traditional supply chain risk strategies followed are restrictive in tackling long-term global pandemic disruptions. To contribute to the current research on this topic, we introduce a framework that identifies and comprehends disruption risks, their origins, and impacts. Through a thorough literature review and interviews with HSC specialists, risks are identified and prioritized using Bayesian Belief Networks (BBN). The findings of this study seek to provide HSC decision-makers with valuable insights into the primary risks associated with HSC disruptions, paving the way for the development of effective mitigation strategies.
    @article{oscm-2024-44,
  title={Healthcare Supply Chain Disruption Risks},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570427}
}
     (2024). Healthcare Supply Chain Disruption Risks. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570427
  23. The Impact of COVID-19 on Industry 4.0 Adoption: An Emerging Economy Perspective
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570428
    The disruptions that COVID-19 precipitated on the world economy made it hard for companies to maintain their operations and achieve sustainable supply chain management. To address these challenges, companies had to leverage a new set of resources. This study, employing a desk-based qualitative research approach, investigated how COVID-19 drove companies to adopt Industry 4.0 technologies in their supply chain management and how these technologies, including artificial intelligence and the Internet of Things, in turn, drove supply chain resilience among firms in emerging countries. Through a comprehensive review of scholarly articles and publications from various organizations, the study employed the triangulation method to ensure the validity and reliability of the findings. The data collection adhered to specific criteria, including relevance, credibility, and publication date post-2020, aligning with the period when the COVID-19 pandemic began. Through a content analysis of these diverse data sources, mainly capturing the sentiments of industry players, three main findings emerged. First, the adoption of Industry 4.0 technologies has had a significant impact on the resilience of supply chain management in emerging economies during the COVID-19 pandemic. Second, the characteristics of emerging economies, such as limited infrastructure and a lack of technological proficiency, significantly influence the effectiveness of Industry 4.0 in enhancing supply chain resilience. Third, the long-term implications of Industry 4.0 adoption on supply chain resilience in emerging economies post-COVID-19 are multifaceted, encompassing both positive and negative effects. Based on these findings, the study recommends that companies in emerging economies invest in infrastructure, training and development, seek government support, address data privacy and security concerns, and plan for the long-term implications of Industry 4.0 adoption. This research, anchored in a robust dataset, provides valuable insights into the role of Industry 4.0 technologies in enhancing supply chain resilience in emerging economies during the COVID-19 pandemic and the challenges that companies in these economies may face in implementing these technologies.
    @article{oscm-2024-45,
  title={The Impact of COVID-19 on Industry 4.0 Adoption: An Emerging Economy Perspective},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570428}
}
     (2024). The Impact of COVID-19 on Industry 4.0 Adoption: An Emerging Economy Perspective. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570428
  24. Central Hospital Location and Distribution Planning Using Integrated K-Means and Vehicle Routing Algorithm in the Healthcare Chain
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570429
    A healthcare chain (HC) involves interrelated activities inclusive of medicine manufacturing, storage, and last-mile distribution to drug retailers and users. Major decision-makers in the HC are also interrelated, in which proper management and planning for logistics activities are required to enhance efficiency and effectiveness. In this study, we first investigate the optimal locations of central hospitals using the K-means algorithm at the midstream of the healthcare chain for long-term planning. Next, we assess the distribution plan of medical supplies by integrating the capacitated vehicle routing problem (CVRP) model with a limited time planning horizon, in which the total economic aspect is evaluated for the short-term plan. Then, our integrated framework is applied to a case study of existing hospitals in Thailand to verify and validate model functionalities. We then examine both locational and distribution plans and present our findings using the geographic information system (GIS). The sensitivity analysis is further performed to evaluate the clustering classification scheme for central hospitals and to evaluate the impact on healthcare logistics plans.
    @article{oscm-2024-46,
  title={Central Hospital Location and Distribution Planning Using Integrated K-Means and Vehicle Routing Algorithm in the Healthcare Chain},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570429}
}
     (2024). Central Hospital Location and Distribution Planning Using Integrated K-Means and Vehicle Routing Algorithm in the Healthcare Chain. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570429
  25. A Review of Models for Dependency of Risks: Extension and Applications to Supply Chains
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0570430
    Today’s highly integrated supply chains are exposed to various types of risks that disrupt the normal flow of goods or services within a supply chain network. Since most of these individual risks are interconnected, a mitigation strategy to tackle one risk may result in the exacerbation of another. Given that the occurrence of one risk may cause a chain reaction, an important question arises: how to model risk dependencies in a supply chain and what factors are relevant in measuring supply chain dependencies? In the financial insurance literature, risk dependencies have been modeled using two approaches: (i) random variables, and (ii) copulas. This paper first reviews these studies to understand the dependency factors and their sources. Then, these models are extended for predicting and mitigating supply chain risks under dependencies. Finally, those models are applied to different supply chain network configurations.
    @article{oscm-2024-47,
  title={A Review of Models for Dependency of Risks: Extension and Applications to Supply Chains},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0570430}
}
     (2024). A Review of Models for Dependency of Risks: Extension and Applications to Supply Chains. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0570430
  26. Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560411
    In recent years, there has been a growing surge of interest in the application of data analytics (DA) within the realm of supply chain management (SCM), attracting attention from both practitioners and researchers. This paper presents a comprehensive examination of recent implementations of DA in SCM. Employing a systematic literature review (SLR), we conducted a meticulous analysis of over 354 papers. Building upon a prior SLR conducted in 2018, we identify contemporary areas where DA has been applied across various functions within the supply chain and scrutinize the DA models and techniques that have been employed. A comparison between past findings and the current literature reveals a notable upsurge in the utilization of DA across most SCM functions, with a particular emphasis on the prevalence of predictive analytics models in contemporary SCM applications. The findings of this paper offer a detailed insight into the specific DA models and techniques currently in use across various SCM functions. Additionally, a discernible increase in the adoption of mixed or hybrid DA models is observed. However, several research gaps persist, including the need for more attention to real-time DA in SCM, the integration of publicly available data, and the application of DA to mitigate uncertainty in SCM. To address these areas and guide future research endeavors, the paper concludes by delineating six concrete research directions. These directions offer valuable avenues for further exploration in the field.
    @article{oscm-2024-48,
  title={Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560411}
}
     (2024). Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560411
  27. Developing A Strategic Framework to Build Future Last Mile Delivery Scenarios: A Scenario Thinking Approach
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560412
    Last mile delivery (LMD) logistics research has drawn attention due to increased urban compactness and environmental concerns arising from freight traffic congestion. This has affected the cost-effectiveness and on-time delivery of urban freight. This study aims to develop a strategic framework to formulate future LMD scenarios based on transport and urban planning constraints using a scenario thinking approach. A scenario thinking stakeholder workshop was conducted to collect data on last mile delivery constraints in Metropolitan Melbourne. The research develops five abridge scenario thinking stages that researchers can adopt in scenario thinking methodology. Using brainstorming and storytelling of scenario thinking approach, participants identified 34 transportation and planning constraints clustered into six urban built-environment dimensions that formed the basis of the development of LMD future scenarios. The six clustered dimensions include Freight Infrastructure, Infrastructure Supply, Land use Intensity, Infrastructure Sharing, Intersection Controls and Human Behaviour. Infrastructure Supply and Land use Intensity were found to represent higher uncertainty and higher impact on city logistics provisions. The proposed regulatory-informed and efficiency-responsive strategies are the key to manage LMD. These strategies will help city logistics providers and planners in development of operational plans in making investment decision on LMD challenges.
    @article{oscm-2024-49,
  title={Developing A Strategic Framework to Build Future Last Mile Delivery Scenarios: A Scenario Thinking Approach},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560412}
}
     (2024). Developing A Strategic Framework to Build Future Last Mile Delivery Scenarios: A Scenario Thinking Approach. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560412
  28. Are Chatbots the Key to Success in Customer Service for Logistics Companies? A Statistical Study of 10 of the Most Important Companies in South America
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560413
    This article aims to investigate the effectiveness of chatbots in improving customer service for logistics companies, focusing on ten of the most important companies in South America. Data was collected from 1250 chatbot users across these companies and analyzed to determine the relationship between chatbot usage and customer satisfaction. The results indicate that chatbots can effectively improve customer service in the logistics industry, with a significant positive correlation between chatbot usage and customer satisfaction. The study employed multiple regression analysis to identify the most important factors influencing customer satisfaction with chatbots, including the chatbot’s capacity to address customer concerns, its familiarity with the company’s products and services, its capability to manage issues without requiring human intervention, its usage of correct grammar in its responses, and its general reputation for customer satisfaction. The results of this study have important implications for the logistics industry, as they provide insight into the potential benefits of chatbot technology for enhancing customer service.
    @article{oscm-2024-50,
  title={Are Chatbots the Key to Success in Customer Service for Logistics Companies? A Statistical Study of 10 of the Most Important Companies in South America},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560413}
}
     (2024). Are Chatbots the Key to Success in Customer Service for Logistics Companies? A Statistical Study of 10 of the Most Important Companies in South America. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560413
  29. Digital Technology Adoption for Building Supply Chain Resilience Amid the COVID-19 Pandemic: Evidence from South Korean Manufacturers
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560414
    This study examines the digital technology adoption of South Korean manufacturers amidst the pandemic unveiling how supply chain disruption orientation improves the adoption of technology to build supply chain resilience and market performance. This is an empirical study utilizing psychosomatic variables (supply chain disruption orientation, innovation adoption, digital infrastructure capability, supply chain resilience, and market performance) to build a model. A sample of 76 South Korean manufacturers is used to test the model and the interrelationships. PLS-SEM is employed for the analysis and mediation effects are provided. Findings indicate that supply chain disruption orientation was significant for the adoption of digital technology during the pandemic; moreover, digital technology facilitated improved supply chain resilience and market performance. Further implications are explicated in this paper.
    @article{oscm-2024-51,
  title={Digital Technology Adoption for Building Supply Chain Resilience Amid the COVID-19 Pandemic: Evidence from South Korean Manufacturers},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560414}
}
     (2024). Digital Technology Adoption for Building Supply Chain Resilience Amid the COVID-19 Pandemic: Evidence from South Korean Manufacturers. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560414
  30. Study Examines Role of Collaboration-Enhancing Factors in Supply Chain
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560415
    In a dynamic business landscape, competition is increasingly shifting from individual entities to the competitive strength of the entire supply chain. Therefore, it is imperative to ensure and enhance supply chain competitiveness. Accordingly, our study explores the crucial role of collaboration-enhancing elements within supply chains, focusing on how trust, collaboration, and affective commitment—integral aspects of supply chain management—affect logistics performance, a key performance indicator in this domain. The study introduces two distinct dimensions of trust as precursors to fostering collaboration and enhancing affective commitment. Additionally, it scrutinizes the intricate interplay between supply chain collaboration, affective commitment, and logistics performance. For empirical evidence, we surveyed employees in supply chain-related departments in Korean manufacturing companies, analyzing 281 questionnaires. A structural equation model was employed to rigorously test hypotheses. Within regard to trust, cognitive trust has been identified as a significant catalyst for promoting supply chain collaboration, while both affective and cognitive trust contribute positively to cultivating affective commitment. Conversely, affective commitment is considered a pertinent precursor to fostering supply chain collaboration. Significantly, both supply chain collaboration and affective commitment exhibit a substantial and positive influence on enhancing logistics performance. These findings underscore the pivotal roles of supply chain collaboration and affective commitment in establishing enduring partnerships within supply chains, with trust, in its multifaceted form, emerging as the keystone facilitating these crucial relationships.
    @article{oscm-2024-52,
  title={Study Examines Role of Collaboration-Enhancing Factors in Supply Chain},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560415}
}
     (2024). Study Examines Role of Collaboration-Enhancing Factors in Supply Chain. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560415
  31. Mapping the Research Landscape of Buyer-Supplier Relationships: Insights and Trends from Bibliometric Analysis
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560416
    We conducted a bibliometric analysis of existing published articles on Buyer-Supplier Relationships (BSR) by extracting the data from the Scopus database. This analysis covered the period (1983 to 2023), using VOSviewer and Biblioshiny R for data analysis and visualization. The findings of this research reveal insights. For example, research on BSR was conducted in 63 countries, with the United States having the highest number of articles, followed by the United Kingdom and China, respectively. The study provides information regarding the top journals for BSR publications and highlights influential authors and institutions. In this way, we performed a co-occurrence analysis of indexed keywords, which emerged as five distinct clusters: operations and quality management, sustainable and innovative supply chain, digital transformation, supply chain economics and strategic advantage. Furthermore, we discovered potential research areas during thematic mapping, such as strategic planning, sustainable development, and information sharing in BSR. This study provides valuable insights and information into the current status and future sustainability of BSR research for different communities, such as buyers, suppliers, managers and research scholars.
    @article{oscm-2024-53,
  title={Mapping the Research Landscape of Buyer-Supplier Relationships: Insights and Trends from Bibliometric Analysis},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560416}
}
     (2024). Mapping the Research Landscape of Buyer-Supplier Relationships: Insights and Trends from Bibliometric Analysis. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560416
  32. Untangling the Influencing Factors of Intention to Adopt Green Supply Chain Management Practices: An Integration of Toe Framework and Self-Determination Theory
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560417
    This study aims to empirically investigate the predictors of intentions to adopt green supply chain management (GSCM) practices. Technology-Organization-Environment framework has incorporated as a primary theoretical lens in which technological factors (relative advantage, compatibility, and complexity), organizational factors (corporate social responsibility, organizational readiness and top management support) and environmental factors (normative pressure, coercive pressure, mimetic pressure and government support) were ruminated which is further extended with Self-determination theory factors (intrinsic motivation and extrinsic motivation). The data was collected through an online survey from the employee of manufacturing SMEs in Pakistan and received 409 valid responses for hypothesis testing. The results demonstrated that all the selected predictors are significantly associated with intentions to adopt GSCM practices. The findings of the study contributed to the literature on intentions to adopt GSCM practices and provide intuition to scholars and practitioners.
    @article{oscm-2024-54,
  title={Untangling the Influencing Factors of Intention to Adopt Green Supply Chain Management Practices: An Integration of Toe Framework and Self-Determination Theory  },
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560417}
}
     (2024). Untangling the Influencing Factors of Intention to Adopt Green Supply Chain Management Practices: An Integration of Toe Framework and Self-Determination Theory  . Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560417
  33. Unlocking the Potential of Vietnamese Supply Chain with Digitalization: A Bibliometric Analysis and Systematic Literature Review
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560418
    Unlocking the potential of digital transformation in emerging economies like Vietnam holds the key to revolutionizing supply chains for a brighter, more efficient future. This review paper explores digital transformation in emerging economies, with a focus on Vietnam, aiming to investigate strategic pathways for reshaping supply chains and enhancing efficiency. The study employs a rigorous methodology, combining bibliometric analysis and systematic literature review, to contribute significantly to the knowledge base. Findings empower businesses with comprehensive insights into the current state of supply chain management digitalization in Vietnam, revealing not only the existing landscape but also actionable recommendations for improvement. The research sheds light on innovative approaches, highlighting areas where businesses can strengthen their digitalization efforts. This original contribution enriches academic discourse, providing valuable insights for both academia and industry practitioners seeking sustainable growth and success in an ever-evolving market.
    @article{oscm-2024-55,
  title={Unlocking the Potential of Vietnamese Supply Chain with Digitalization: A Bibliometric Analysis and Systematic Literature Review},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560418}
}
     (2024). Unlocking the Potential of Vietnamese Supply Chain with Digitalization: A Bibliometric Analysis and Systematic Literature Review. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560418
  34. Scenario Analysis for Supply Chain Management of Milled Grain Products in South Africa: A System Dynamics Approach
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560419
    This study aimed to identify the interactions between the sub-systems of the supply chain system of milled grain products, in South Africa, namely: (1) farming (agricultural); (2) transport (transportation); (3) manufacturing (milling); and (4) trade (retail). Furthermore, this paper investigated how these sub-systems are affected by economic and natural external factors namely: (1) the exchange rate between ZAR and USD; (2) the price of international crude oil; and (3) climate change and/or droughts. For this purpose, system dynamics (SD) model was developed and used, which enabled to accommodate the system components and factors influencing the performance of the supply chain system of milled grain products. The SD model runs demonstrated the interdependent relationships among the four sub-systems of the supply chain of milled grain products. Furthermore, the simulation results and scenario analysis showed the impact of the three external factors on the overall performance of the milled grain supply chain and its four sub-systems in terms of the availability and utilization of farming land, grain yield, transportation costs, milling costs, retail costs and farming profits.
    @article{oscm-2024-56,
  title={Scenario Analysis for Supply Chain Management of Milled Grain Products in South Africa: A System Dynamics Approach},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560419}
}
     (2024). Scenario Analysis for Supply Chain Management of Milled Grain Products in South Africa: A System Dynamics Approach. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560419
  35. Lifecycle Cost Affordability and Performance-Based Contracting – A Managerial Decision Framework Based on Literature Review
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0560420
    This manuscript reviews and synthesizes the product service system, lifecycle affordability, and performance-based contracting (PBC) literature across supply chain management, operations management, and logistics discipline. The study is based on 128 peer-reviewed articles published between 2005 and 2023 in journals related to the supply chain, logistics, and operations management field. The study proposes a framework for lifecycle affordability (LCA) and key aspects of performance-based strategy design and management, performance specification, and cost elements. This study is a robust literature review of lifecycle affordability and performance-based contracting. It proposes a framework to assist in business-to-business managerial decision-making to reduce lifecycle costs.
    @article{oscm-2024-57,
  title={Lifecycle Cost Affordability and Performance-Based Contracting – A Managerial Decision Framework Based on Literature Review},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0560420}
}
     (2024). Lifecycle Cost Affordability and Performance-Based Contracting – A Managerial Decision Framework Based on Literature Review. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0560420
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