1. OSCM Publications
  2. Volume 19, Issue 1, 2026

Volume 19, Issue 1, 2026

  1. A Practical Framework for Aggregate Production Planning
    • Kingsley Gnanendran
    • Kathleen Iacocca
    • Robyn Lawrence
    Abstract Full PDF Cite DOI: 10.31387/oscm0640503
    Aggregate planning (AP) is widely used in industry to determine production levels given the forecasted demand for a family of products over a finite planning horizon. Here, we extend a spreadsheet-based AP approach to include both marketing and financial aspects. Previous authors have suggested a “linked spreadsheet” approach where the results of an earlier module are fed into a subsequent module. That is, it begins with a sales forecasting module to determine demand, then an aggregate planning module is used to compute production levels, and, finally, a cash budgeting module is used to evaluate the amounts of required cash. While this spreadsheet approach is commendable due to its practicality, unfortunately it is clear that it would give rise to suboptimal solutions due to its sequential nature. Here we extend this spreadsheet approach by developing an integrated model that incorporates both marketing and financial aspects into the traditional, operations-oriented aggregate planning methodology. On the marketing side, we determine optimal product prices and (the resulting) demand in each period, whereas on the financial side we include monthly sales collections, loan interest, fixed costs, and a minimum allowable cash balance in determining optimal production, workforce, and inventory levels. We incorporate cashflow accounting to ensure financial viability of the proposed plan.
    @article{kingsleygnanendran-2026-1712,
  title={A Practical Framework for Aggregate Production Planning},
  author={Kingsley  Gnanendran and Kathleen  Iacocca and Robyn  Lawrence},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={1--12},
  doi={10.31387/oscm0640503}
}
    Kingsley  Gnanendran, Kathleen  Iacocca, Robyn  Lawrence (2026). A Practical Framework for Aggregate Production Planning. Operations and Supply Chain Management: An International Journal, 19(1), 1-12. https://doi.org/10.31387/oscm0640503
  2. Digital Twins for Sustainable and Low-Carbon Supply Chains in Industry X.0: Crossing the Fragmented Bridge Between Academic Research and Industrial Adoption
    • Boutayna Elghomri
    • Faycal Messaoudi
    Abstract Full PDF Cite DOI: 10.31387/oscm0640504
    Digital twins (DTs) offer transformative potential for shaping low-carbon, resilient, and circular supply chains by providing real-time virtual monitoring and decision-support capabilities. However, despite growing theoretical interest in technology-driven frameworks, translations into scalable, standards-aligned industrial implementations remain limited. To address this gap, we conducted a comprehensive bibliometric and thematic analysis of 229 DT-related research articles published between late 2019 and mid-2025, focusing on sustainability outcomes. The dataset was systematically compiled from three major academic databases, Scopus, ScienceDirect, and Web of Science, which ensured both consistency and robustness of the review. We mapped trends across research themes, geographies, and journal outlets and identified key clusters spanning AI-powered optimization, circular-economy frameworks, and built-environment lifecycle modeling. Our findings reveal that, although nearly 40% of studies are conceptual, only one-third present practical deployment and fewer than 30% adopt a mixed approach. Critically, interoperability standards (for example, ISO 23247 and OPC UA) and lifecycle metrics (Scope 3 emissions, LCA, Digital Product Passports) are seldom fully integrated within empirical work. This fragmentation underscores a bridge in progress between academic innovation and industrial practice. We conclude by highlighting opportunities to accelerate adoption, namely, designing DTs that are empirically validated, multi-objective, and grounded in stakeholder ecosystems, which would enable DTs to evolve from theoretical promise to operational tools for sustainable supply network transformation.
    @article{boutaynaelghomri-2026-1713,
  title={Digital Twins for Sustainable and Low-Carbon  Supply Chains in Industry X.0: Crossing the  Fragmented Bridge Between Academic  Research and Industrial Adoption},
  author={Boutayna  Elghomri and Faycal  Messaoudi},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={13--29},
  doi={10.31387/oscm0640504}
}
    Boutayna  Elghomri, Faycal  Messaoudi (2026). Digital Twins for Sustainable and Low-Carbon  Supply Chains in Industry X.0: Crossing the  Fragmented Bridge Between Academic  Research and Industrial Adoption. Operations and Supply Chain Management: An International Journal, 19(1), 13-29. https://doi.org/10.31387/oscm0640504
  3. A Bibliometric Analysis of Augmented Reality in E-Commerce Research
    • Nguyen Thi Phuong Giang
    • Le Ngoc Son
    • Thai Dong Tan
    • Nguyen Hoai Linh
    Abstract Full PDF Cite DOI: 10.31387/oscm0640505
    This paper employs bibliometric analysis to systematically map the global research landscape on Augmented Reality (AR) in e-commerce from 2014 to 2024. A total of 610 publications retrieved from the Scopus database were analyzed, yielding 10,262 citations and an average annual growth rate of 24.97%. The results reveal three major clusters of countries: (i) research leaders in production and growth (India, the United States, China); (ii) nations emphasizing scientific collaboration and policy orientation (the United Kingdom, Germany, Portugal); and (iii) emerging contributors with regional and application-driven characteristics (Indonesia, Taiwan, Japan, Malaysia). Thematic evolution analysis highlights a clear transition from early-stage technological exploration (2014–2016) to theoretical consolidation and application expansion (2017–2024). From a theoretical perspective, the study enriches understanding of AR as not merely a visualization tool but a driver of affective engagement and consumer decision-making in digital environments. Practically, the findings offer managerial insights for e-commerce firms, technology developers, and policymakers in leveraging AR for immersive retailing, AI integration, and sustainable digital transformation. Overall, this analysis presents a comprehensive knowledge map that informs both academic inquiry and strategic application of AR in the evolving digital commerce landscape.
    @article{nguyenthiphuonggiang-2026-1714,
  title={A Bibliometric Analysis of Augmented Reality in E-Commerce Research},
  author={Nguyen Thi Phuong  Giang and Le Ngoc  Son and Thai Dong  Tan and Nguyen Hoai  Linh},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={30--46},
  doi={10.31387/oscm0640505}
}
    Nguyen Thi Phuong  Giang, Le Ngoc  Son, Thai Dong  Tan, Nguyen Hoai  Linh (2026). A Bibliometric Analysis of Augmented Reality in E-Commerce Research. Operations and Supply Chain Management: An International Journal, 19(1), 30-46. https://doi.org/10.31387/oscm0640505
  4. A Conceptual Model For Sustainable And Resilient Palm Oil Supply Chains: Integrating Digital Innovations, Circular Economy, And Policy Alignment
    • Cristian Rincon-Guio
    • Mariana de L. Cantos-Figueroa
    • Luz T. Y. Canarte-Quimis
    • Julieta Hernandez-Ramirez
    • Nancy Saray
    • Astrith Rincon-Sanchez
    • Víctor Manuel Martinez-García
    • Diana Concepcion Mex Alvarez
    • Daniel Ricardo Delgado
    • Nathalia Chaparro-Hernandez
    Abstract Full PDF Cite DOI: 10.31387/oscm0640506
    The global palm oil industry faces mounting pressure to balance economic growth with environmental protection and social equity. This study addresses the critical need for sustainable and resilient supply chain management (SCM) strategies in response to deforestation concerns, regulatory pressures, and stakeholder demands. The purpose is to develop an integrative conceptual framework that unites sustainability imperatives, digital transformations, and multi-stakeholder engagement in palm oil SCM. Through a systematic literature review of 46 peer-reviewed articles from Scopus and Web of Science, complemented by bibliometric analysis, this research consolidates existing knowledge on SCM practices, emergent technologies, and policy instruments. Findings indicate that integrating blockchain, machine learning, and circular economy principles significantly enhances traceability, resource efficiency, and compliance with sustainability certifications such as RSPO and NDPE. However, persistent barriers including high implementation costs, limited infrastructure, and smallholder exclusion hinder large-scale adoption. The proposed framework emphasizes the interdependence of regulatory frameworks, technological enablers, circular economy strategies, and policy alignment. Critical research gaps identified include the need for longitudinal analyses of certification impacts, comparative studies beyond Southeast Asia, and deeper investigations into social sustainability. This study provides actionable guidelines for industry practitioners and policymakers to foster a more sustainable, transparent, and resilient palm oil industry
    @article{cristianrincon-guio-2026-1715,
  title={A Conceptual Model For Sustainable And Resilient Palm Oil Supply Chains: Integrating Digital Innovations, Circular Economy, And Policy Alignment},
  author={Cristian  Rincon-Guio and Mariana de L.  Cantos-Figueroa and Luz T. Y.  Canarte-Quimis and Julieta  Hernandez-Ramirez and Nancy  Saray and Astrith  Rincon-Sanchez and Víctor Manuel  Martinez-García and Diana Concepcion  Mex Alvarez and Daniel Ricardo  Delgado and Nathalia  Chaparro-Hernandez},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={47--63},
  doi={10.31387/oscm0640506}
}
    Cristian  Rincon-Guio, Mariana de L.  Cantos-Figueroa, Luz T. Y.  Canarte-Quimis, Julieta  Hernandez-Ramirez, Nancy  Saray, Astrith  Rincon-Sanchez, Víctor Manuel  Martinez-García, Diana Concepcion  Mex Alvarez, Daniel Ricardo  Delgado, Nathalia  Chaparro-Hernandez (2026). A Conceptual Model For Sustainable And Resilient Palm Oil Supply Chains: Integrating Digital Innovations, Circular Economy, And Policy Alignment. Operations and Supply Chain Management: An International Journal, 19(1), 47-63. https://doi.org/10.31387/oscm0640506
  5. Overall Forklift Effectiveness: The Proposal of A Model for Measuring Productive Efficiency in Forklifts
    • Fabiano Lima Nunes
    • Cristine Hermann Nodari
    • Jose Antonio Valle Antunes Junior
    Abstract Full PDF Cite DOI: 10.31387/oscm0640507
    Rising competitiveness in logistics has increased the need for efficient operations in distribution centers (DCs), where forklifts play a key role in material handling and cost management. This study proposes the Overall Forklift Effectiveness (OFE) model, an adaptation of the Overall Equipment Effectiveness (OEE) framework, designed to capture variables specific to forklift operations such as empty movements, battery replacement, and load adjustments. Developed through a Design Science Research (DSR) approach, the model was validated in a Brazilian DC over 10 business days using a mobile application for data collection. Results demonstrate that the OFE provided higher measurement precision by capturing operational losses overlooked by the OEE baseline. When applied in practice, the OFE enabled managers to identify that 75% of downtime was caused by unscheduled stops, allowing targeted actions to reduce idle time. Compared with the OEE baseline, the OFE model revealed a 49.5% occupancy rate and an overall efficiency of 14%, highlighting improvement opportunities that were invisible under the traditional metric. The empirical evidence shows that decisions supported by OFE can lead to more accurate resource allocation and enhanced equipment utilization, contributing to operational efficiency in logistics centers. The model offers logistics managers a structured tool to improve decision-making, while advancing the literature by extending OEE applications to material handling equipment.
    @article{fabianolimanunes-2026-1716,
  title={Overall Forklift Effectiveness:   The Proposal of A Model for Measuring  Productive Efficiency in Forklifts},
  author={Fabiano Lima  Nunes and Cristine Hermann  Nodari and Jose Antonio Valle  Antunes Junior},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={64--77},
  doi={10.31387/oscm0640507}
}
    Fabiano Lima  Nunes, Cristine Hermann  Nodari, Jose Antonio Valle  Antunes Junior (2026). Overall Forklift Effectiveness:   The Proposal of A Model for Measuring  Productive Efficiency in Forklifts. Operations and Supply Chain Management: An International Journal, 19(1), 64-77. https://doi.org/10.31387/oscm0640507
  6. Resilient and Governed: Enhancing Firm Performance in the Traditional Weaving SMEs Supply Chain – An Empirical Investigation
    • Moh Ramdhan Arif Kaluku
    • Sumiati Sumiati
    • Ainur Rofiq
    • Djumilah Hadiwidjojo
    Abstract Full PDF Cite DOI: 10.31387/oscm0640508
    Traditional weaving SMEs in Gorontalo province, Indonesia, known for producing Karawo textiles, play an important role in preserving cultural heritage but face persistent supply chain challenges, including fragmented collaborations, limited market access, and poor inventory coordination. These constraints hinder their ability to achieve sustainable firm performance, especially under conditions of uncertainty. Addressing these issues requires not only operational improvements but also the development of resilient and well governed supply chains. This study is to evaluate, under consideration the mediating function of supply chain governance (SCG), how supply chain resilience (SCR) influences firm performance (FP) in Karawo SMEs. Based on the theory of constraint (TOC), this paper proposes a theoretical framework to investigate, using supply chain resilience, financial and non-financial performance. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), data gathered from 195 traditional weaving SMEs in Gorontalo province, Indonesia is evaluated in order to evaluate theoretical assumptions. According to the results, SCR does not immediately increase FP by means of agility, integration, and SCRE. Moreover, SCG plays a mediator in the link between SCR and FP. By means of supply chain governance, this study enables SMEs to raise their performance. This paper develops a theoretical framework connecting agility, integration, and SCRE with resilience as its basis, therefore exploring past research in the subject of SCM. Based on TOC, the work clarifies how agility, integration, and SCRE affect SCG. Second, SCG mediates the effect of SCR on FP by operationalizing resilience capabilities into coordinated, performance-enhancing governance practices.
    @article{mohramdhanarifkaluku-2026-1717,
  title={Resilient and Governed: Enhancing Firm Performance in the Traditional Weaving SMEs Supply Chain – An Empirical Investigation},
  author={Moh Ramdhan Arif  Kaluku and Sumiati  Sumiati and Ainur  Rofiq and Djumilah  Hadiwidjojo},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={78--92},
  doi={10.31387/oscm0640508}
}
    Moh Ramdhan Arif  Kaluku, Sumiati  Sumiati, Ainur  Rofiq, Djumilah  Hadiwidjojo (2026). Resilient and Governed: Enhancing Firm Performance in the Traditional Weaving SMEs Supply Chain – An Empirical Investigation. Operations and Supply Chain Management: An International Journal, 19(1), 78-92. https://doi.org/10.31387/oscm0640508
  7. Optimizing Patient Scheduling and Resource Allocation in a 3D Printing-Enabled Dental Prosthesis Supply Chain: A Mixed-Integer Linear Programming Approach
    • Janet Kwakye
    • Hansuk Sohn
    Abstract Full PDF Cite DOI: 10.31387/oscm0640509
    Efficient scheduling and resource allocation in dental prosthesis supply chains are critical for improving patient outcomes and reducing turnaround times. Traditional workflows often suffer from delays due to fragmented routing, clinic bottlenecks, and limited visibility across production stages. To address these challenges, we develop a mixed-integer linear programming (MILP) model that jointly optimizes patient scheduling, routing decisions, and capacity constrained resource allocation in a digitally enabled, 3D printing-based prosthesis workflow. The model incorporates patient routing decisions (direct-to-lab vs. via-clinic), lab capacity constraints, material availability, and fixed delivery delays. The model minimizes lead time while enforcing fairness through worst-case constraints and deterministic delivery assumptions. Results from a baseline scenario involving 850 patients across a 45-day planning window show that the optimized system achieves balanced lab utilization, equitable lead time distribution, and full satisfaction of routing constraints. Comparative analysis highlights the significant advantage of direct-to-lab workflows over clinic-mediated routes. Scenario-based sensitivity analyses reveal the impact of routing strategies, inventory thresholds, and delivery penalties on system performance. The study demonstrates how simulation-informed optimization can guide strategic planning in healthcare logistics, offering a reproducible and adaptable framework for real-world deployment.
    @article{janetkwakye-2026-1718,
  title={Optimizing Patient Scheduling and Resource Allocation in a 3D Printing-Enabled Dental Prosthesis Supply Chain: A Mixed-Integer Linear Programming Approach},
  author={Janet  Kwakye and Hansuk  Sohn},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={93--113},
  doi={10.31387/oscm0640509}
}
    Janet  Kwakye, Hansuk  Sohn (2026). Optimizing Patient Scheduling and Resource Allocation in a 3D Printing-Enabled Dental Prosthesis Supply Chain: A Mixed-Integer Linear Programming Approach. Operations and Supply Chain Management: An International Journal, 19(1), 93-113. https://doi.org/10.31387/oscm0640509
  8. Partial vs Full Technology Adoption: Strategic Implications for Two-Sided Platform
    • Xiaoxiao Wang
    • Changyong Liang
    • Jingxian Chen
    • Dong-Qing Yao
    Abstract Full PDF Cite DOI: 10.31387/oscm0640510
    With the rapid development and widespread adoption of digital technology, two-sided platforms increasingly leverage digital technology to enhance operations and facilitate transactions. However, varying levels of acceptance among consumers and providers present platforms with three strategic options for technology adoption: no adoption, partial adoption, or full adoption. Although previous studies have explored technology adoption decisions in two-sided platforms, there remains a research gap in the choice between partial and full technology adoption. This paper aims to address this gap by developing a game-theoretic model to analyze the impact of different technology adoption strategies on two-sided platforms, consumers, and providers. Our findings reveal that the adoption of digital technology can increase both service supply and demand but decrease service prices and commission rates. Notably, in the scenario of partial technology adoption, the price of traditional services is higher than when technology is not adopted. Moreover, we demonstrate that higher operating costs do not necessarily incentivize the platform to adopt digital technology. Specifically, platforms are more likely to partially adopt technology when operating costs are low and fully adopt it when costs are moderate. Furthermore, we find that partial technology adoption can generate more consumer and provider surplus but may reduce overall social welfare. Our study provides strategic guidance for platform managers regarding adopting digital technology within their operations management.
    @article{xiaoxiaowang-2026-1719,
  title={Partial vs Full Technology Adoption: Strategic Implications for Two-Sided Platform},
  author={Xiaoxiao  Wang and Changyong  Liang and Jingxian  Chen and Dong-Qing  Yao},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={114--134},
  doi={10.31387/oscm0640510}
}
    Xiaoxiao  Wang, Changyong  Liang, Jingxian  Chen, Dong-Qing  Yao (2026). Partial vs Full Technology Adoption: Strategic Implications for Two-Sided Platform. Operations and Supply Chain Management: An International Journal, 19(1), 114-134. https://doi.org/10.31387/oscm0640510
  9. A Comparative Analysis of Export Competitiveness of Korea in the ASEAN-5 Market
    • Yoomi Kim
    Abstract Full PDF Cite DOI: 10.31387/oscm0640511
    This study aims to find out Korea’s comparative advantages in the ASEAN market to accelerate the deepening GVC participation and efficiency. In particular, Vietnam, Singapore, Malaysia, the Philippines, and Indonesia were estimated to be the top trading partners, showing that higher economic cooperation among ASEAN member countries. This analysis shows that the proportion of exports between Korea and ASEAN-5 is highest in intermediate goods, and Korea’s competitive advantage (RCI) in intermediate goods is also high. Analyzing the export specialization index (TSI) between Korea and the ASEAN-5 to determine export competitiveness by item shows that it is high in petrochemical products and machinery are dominant among items with relatively strong competitiveness. This demonstrates that the trade structures of the ASEAN and Korea are complementary. Meanwhile, inter-industry trade (GLI) showed a high proportion of textiles, inorganic chemicals, electronic products, organic chemicals, copper, and rubber. In this field, Korean companies should increase their technological competitiveness to maintain export competitiveness on GVC.
    @article{yoomikim-2026-1720,
  title={A Comparative Analysis of Export Competitiveness of Korea in the ASEAN-5 Market},
  author={Yoomi  Kim},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={135--144},
  doi={10.31387/oscm0640511}
}
    Yoomi  Kim (2026). A Comparative Analysis of Export Competitiveness of Korea in the ASEAN-5 Market. Operations and Supply Chain Management: An International Journal, 19(1), 135-144. https://doi.org/10.31387/oscm0640511
  10. Big Data Analytics Powered by AI for Enhancing Supply Chain Agility and Customer Relationship Performance
    • Syed Zamin Shah
    • Aijun Liu
    • Ayesha Nusrat
    • Lei Chen
    • Xiaodong Li
    • Hui Lu
    Abstract Full PDF Cite DOI: 10.31387/oscm0640512
    In today’s volatile and complex international organization conditions, B2B manufacturing firms face increasing challenges in managing supply chains that are efficient, responsive and aligned with dynamic customer demands. The rapid changes in the market due to trade wars, pandemics and political instability add more problems to the customer-centric supply chain. This paper examines the function of big data analytics powered by artificial intelligence as a vital facilitator of supply chain agility and customer relationship efficacy in Chinese B2B manufacturing firms. Using the Dynamic Capabilities View, the study presents and experimentally evaluates a model that investigates the impact of big data analytics augmented to artificial intelligence on supply chain agility, both directly and indirectly, through supply chain alignment and Adaptability, while also accounting for market turbulence as a moderating factor between agility and customer outcomes. Data were collected from 434 B2B Chinese manufacturing firms involved in export and import activities through structured questionnaires. Expending Partial Least Squares Structural Equation Modelling, the conclusions confirm that big data analytics and artificial intelligence significantly enhance supply chain agility, supply chain adaptability and supply chain alignment, which in turn positively impact customer relationship performance. The moderating validity of market turbulence signifies that the impact of supply chain agility on customer relationships is particularly significant in conditions of high market volatility. The findings also highlight how critical big data analytics and artificial intelligence has become an essential dynamic capability that converts data into valuable actionable insights and as such, can enable firms align and redesign their supply chain business to achieve higher levels of customer performance. This research also helps digital supply chain literature by connecting advances in technology with the changes in the supply chain and being customer-focused, offering useful information for both theory and practical application in difficult industrial circumstances.
    @article{syedzaminshah-2026-1721,
  title={Big Data Analytics Powered by AI for Enhancing Supply Chain Agility and Customer Relationship Performance},
  author={Syed Zamin  Shah and Aijun  Liu and Ayesha  Nusrat and Lei  Chen and Xiaodong  Li and Hui  Lu},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={145--163},
  doi={10.31387/oscm0640512}
}
    Syed Zamin  Shah, Aijun  Liu, Ayesha  Nusrat, Lei  Chen, Xiaodong  Li, Hui  Lu (2026). Big Data Analytics Powered by AI for Enhancing Supply Chain Agility and Customer Relationship Performance. Operations and Supply Chain Management: An International Journal, 19(1), 145-163. https://doi.org/10.31387/oscm0640512
  11. Leveraging Blockchain Technology to Combat Counterfeiting: Expert Perspectives and Practical Solutions
    • Thi Thuy Hanh Nguyen
    Abstract Full PDF Cite DOI: 10.31387/oscm0640513
    Counterfeiting has become a significant global issue, raising concerns among stakeholders in supply chains. Counterfeit products often contain substandard or hazardous components, posing significant health risks, particularly in sectors such as pharmaceuticals, cosmetics, and food. They may lead to consumer illness or even death, while also causing substantial revenue losses for businesses, disrupting legitimate supply chains, damaging brand reputation, and weakening consumer confidence. Counterfeit goods are often manufactured in unregulated settings that disregard environmental standards, resulting in the use of toxic materials, improper waste disposal, and increased pollution. Therefore, preventing counterfeit goods is crucial to ensuring the economic benefits of all stakeholders and promoting the sustainable development of the supply chain. Blockchain Technology (BT) is a revolutionary technology that offers several unique characteristics for combating counterfeiting. Nevertheless, BT deployment currently remains in the experimental stage, especially for anti-counterfeiting purposes. This study examines the barriers that hinder the adoption of BT-based solutions. This is the first study to conduct interviews with academic and industry experts to look into the key barriers to deploying BT-based anti-counterfeiting solutions. This study utilized key barriers identified in previous studies, including technological, organizational, and environmental barriers, to establish a foundation for interview questions. Semi-structured questions will be selected to obtain expert opinions and viewpoints on the significant challenges in Vietnam. As a result, this study indicated that deployment cost is the most significant technological barrier. A lack of competence and skills is a significant organizational barrier, whereas the absence of a defined legal framework is the most significant environmental barrier. In addition to the most significant barriers, several other barriers are identified, such as limited customer awareness, a lack of reliable service providers, and inadequate national infrastructure. As a result, practical solutions have been proposed to address those barriers and encourage stakeholders to adopt blockchain-based solutions.
    @article{thithuyhanhnguyen-2026-1722,
  title={Leveraging Blockchain Technology to Combat Counterfeiting: Expert Perspectives and Practical Solutions},
  author={Thi Thuy Hanh  Nguyen},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={164--181},
  doi={10.31387/oscm0640513}
}
    Thi Thuy Hanh  Nguyen (2026). Leveraging Blockchain Technology to Combat Counterfeiting: Expert Perspectives and Practical Solutions. Operations and Supply Chain Management: An International Journal, 19(1), 164-181. https://doi.org/10.31387/oscm0640513
  12. Digital Technology Ecosystems and Sustainable Firm Performance: The Mediating Role of GSCM and Circular Economy Under Institutional Pressure
    • Saif Rehman
    • Rosli Mahmood
    • Misbah Sadiq
    Abstract Full PDF Cite DOI: 10.31387/oscm0640514
    This study examines how integrated digital technology ecosystems (IDTE) improve sustainable firm performance (SFP). With the transformation of IDTE, firms should incorporate complementary dimensions to achieve long-term efficiency. The study employs the dynamic capabilities view (DCV) and institutional theory to examine the complex impact of IDTE on SFP, mediated by the effects of green supply chain management (GSCM) and circular economy practices (CEP). Additionally, the study investigates the moderation effect of institutional pressure (IP) on the impact of IDTE on GSCM and CEP. PLS-SEM was applied to analyze 260 valid responses collected from IT and logistics and supply chain managers of MNEs. Contrary to our hypothesis, IDTE does not directly improve SFP. However, the IDTE-SFP relationship is significantly mediated by GSCM and CEP. Institutional pressure (IP) significantly affects how legislative frameworks, market dynamics, and stakeholder expectations influence sustainable practices, thereby amplifying the impact of IDTE's GSCM and CEP. Thus, MNEs should purposefully link IDTE to sustainability-focused capabilities for long-term benefits. Our findings underscore the importance of Gulf Cooperation Council (GCC) governments and MNEs in supporting integrated digital technology ecosystems that promote GSCM and CEP to achieve SFP.
    @article{saifrehman-2026-1723,
  title={Digital Technology Ecosystems and Sustainable Firm Performance: The Mediating Role of GSCM and Circular Economy Under Institutional Pressure},
  author={Saif  Rehman and Rosli  Mahmood and Misbah  Sadiq},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2026},
  volume={19},
  number={1},
  pages={182--198},
  doi={10.31387/oscm0640514}
}
    Saif  Rehman, Rosli  Mahmood, Misbah  Sadiq (2026). Digital Technology Ecosystems and Sustainable Firm Performance: The Mediating Role of GSCM and Circular Economy Under Institutional Pressure. Operations and Supply Chain Management: An International Journal, 19(1), 182-198. https://doi.org/10.31387/oscm0640514
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