1. OSCM Publications
  2. Volume 19, Issue 4, 2026

Volume 19, Issue 4, 2026

  1. Exploring the Role of Supply Chain Leadership and Interorganizational Citizenship Behavior in Cultivating Supply Chain Security
    • Sean P. Goffnett
    • Frederick L. Lawrence IV
    Abstract Full PDF Cite DOI: 10.31387/oscm0670542
    This paper tests the effect of supply chain leadership on security perceptions by explicitly considering how leadership characteristics directly and indirectly influence this relationship. Data obtained from 102 supply chain affiliates was analyzed using partial least squares path modeling. A mediated model where supply chain leadership has an indirect effect on supply chain security perceptions via supply chain citizenship behavior is tested. Results offer insight into the paths in which leadership can affect security perceptions and how these perceptions can be reinforced through citizenship behaviors. While supply chain leadership is necessary to enhance security perceptions in supply chains, interorganizational citizenship behaviors absorb part of the effect from leadership and contribute through a path that influences perceptions of security. Collaborative supply chain relationships, guided by transformational leadership actions that inspire citizenship behaviors amongst followers, can cultivate a more vigilant security climate that is better positioned to advance security practices and performance.
    @article{oscm-2026-936,
  title={Exploring the Role of Supply Chain Leadership and Interorganizational Citizenship Behavior in Cultivating Supply Chain Security},
  year={2026},
  author={Sean P. Goffnett and Frederick L. Lawrence IV},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={19},
  number={4},
  pages={627--639},
  doi={10.31387/oscm0670542}
}
    Sean P. Goffnett, Frederick L. Lawrence IV (2026). Exploring the Role of Supply Chain Leadership and Interorganizational Citizenship Behavior in Cultivating Supply Chain Security. Operations and Supply Chain Management: An International Journal, 19(4), 627-639. https://doi.org/10.31387/oscm0670542
  2. A Humanitarian Logistics Model Integrating Heterogeneous Vehicle Routing, Time-Based Transportation Mode Switching, and Overtime Penalties for Disaster Pharmaceutical Logistics
    • Lingga Ikaditya
    • Yosi Agustina Hidayat
    • Zulfan Zazuli
    • I Ketut Adnyana
    • Zulfian Muhammad Furqon
    Abstract Full PDF Cite DOI: 10.31387/oscm0670543
    Earthquakes are sudden, unpredictable disasters that disrupt transportation infrastructure while generating surges in medical demand, posing critical challenges to last-mile pharmaceutical logistics. Existing humanitarian logistics models rarely integrate heterogeneous transportation modes, time-dependent mode switching, and operational constraints within a unified framework. This study develops a cost-optimised pharmaceutical distribution model based on a heterogeneous vehicle routing problem (VRP) that incorporates post-disaster infrastructure disruption, time-based mode switching, and overtime penalties. Using the 2022 Cianjur Earthquake (Indonesia) as a case study, three strategies are evaluated: a baseline, a Mixed-Integer Linear Programming (MILP) optimisation model, and a two-phase heuristic combining a savings algorithm with local search. The model distributes 550 pharmaceutical packages to 47 primary healthcare centres (PHCs) under a 480-minute daily operating constraint. The MILP model reduces total cost by 5.89% relative to the baseline (IDR 430,052,945), while the two-phase heuristic achieves the lowest cost (IDR 391,811,960; ?8.89%) at a 100% service level. Sensitivity analysis indicates a four-day emergency duration gives the most cost-efficient transition from fast-response modes to consolidated truck distribution. The findings provide a practical optimisation framework and decision-support insights for efficiency, responsiveness, and resilience in disaster pharmaceutical logistics.
    @article{oscm-2026-1231,
  title={A Humanitarian Logistics Model Integrating Heterogeneous Vehicle Routing, Time-Based Transportation Mode Switching, and Overtime Penalties for Disaster Pharmaceutical Logistics},
  year={2026},
  author={Lingga Ikaditya and Yosi Agustina Hidayat and Zulfan Zazuli and I Ketut Adnyana and Zulfian Muhammad Furqon},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={19},
  number={4},
  pages={640--656},
  doi={10.31387/oscm0670543}
}
    Lingga Ikaditya, Yosi Agustina Hidayat, Zulfan Zazuli, I Ketut Adnyana, Zulfian Muhammad Furqon (2026). A Humanitarian Logistics Model Integrating Heterogeneous Vehicle Routing, Time-Based Transportation Mode Switching, and Overtime Penalties for Disaster Pharmaceutical Logistics. Operations and Supply Chain Management: An International Journal, 19(4), 640-656. https://doi.org/10.31387/oscm0670543
  3. Adoption of Proactive and Reactive Supply Chain Resilience Strategies: A Comparative Analysis of Apparel and Construction Industries in Sri Lanka
    • Anuradha Ranawakage
    • Chathurani Silva
    Abstract Full PDF Cite DOI: 10.31387/oscm0670544
    With the current uncertain globalized supply chain (SC) networks, business organizations face serious resilience challenges during disruptions. To mitigate the effects of these disruptions, organizations adopt variety of resilience strategies. The degree of adoption of resilience strategies may differ across industries based on variances in the business environments and the characteristics of SCs. Considering the significance of exploring the differences, particularly, in the developing economies that have undergone frequent disruptive events due to economic and political reasons, this study assesses the degree of adoption of three proactive and three reactive SC resilience strategies in Sri Lankan apparel and construction industries. The primary data for this study were gathered using an online survey consisting of multi-itemed questions on the six resilience strategies from 162 apparel and 185 construction companies in Sri Lanka. The findings revealed that a significant difference exists between the two industries in terms of the level of implementation of five resilience strategies, namely, proactive collaboration, digital connectivity, integrated SC risk management, inventory and reserve capacity and lifeline maintenance, while reactive collaboration has no significant difference across the two industries in terms of implementation. Further analysis confirmed that the export-oriented apparel industry led in adopting SC resilience strategies, mainly the reactive strategies compared to the construction sector, which has project-based characteristics in SCs. Improving proactive strategies could be a great initiative to higher resilience performance in both apparel and construction sectors, where implementation could be challenging due to high resource and knowledge requirements of strategies including digital connectivity.
    @article{oscm-2026-761,
  title={Adoption of Proactive and Reactive Supply Chain Resilience Strategies: A Comparative Analysis of Apparel and Construction Industries in Sri Lanka},
  year={2026},
  author={Anuradha Ranawakage and Chathurani Silva},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={19},
  number={4},
  pages={657--670},
  doi={10.31387/oscm0670544}
}
    Anuradha Ranawakage, Chathurani Silva (2026). Adoption of Proactive and Reactive Supply Chain Resilience Strategies: A Comparative Analysis of Apparel and Construction Industries in Sri Lanka. Operations and Supply Chain Management: An International Journal, 19(4), 657-670. https://doi.org/10.31387/oscm0670544
  4. Market Structure as a Moderator of Supply Chain Resilience: A Monte Carlo Simulation of Tariff Volatility
    • Douglas L. McWilliams
    • Nero Edevbie
    Abstract Full PDF Cite DOI: 10.31387/oscm0670545
    This study examines how market structure moderates supply chain resilience to tariff volatility through a Monte Carlo simulation of monopoly, oligopoly, and perfect competition. Drawing on profit maximization theory, supply chain resilience theory, and survivability theory, we model the performance of firms across 81 experimental scenarios, varying tariff rates, pass-through rates, and desired profit margins. The findings reveal a clear hierarchy of resilience: oligopolies emerge as the most resilient, maintaining positive margins even under high tariffs through strategic coordination; monopolies achieve the highest margins but exhibit the most volatility, with profitability collapsing as tariffs rise; and perfectly competitive firms are the most vulnerable, unable to survive tariffs beyond moderate levels due to their lack of pricing power. Pass-through capability, a key resilience mechanism, is most effective in monopoly settings where it protects profit margins, while desired profit margins show no significant impact on performance outcomes, suggesting that strategic intent alone is insufficient without the market power to execute pricing strategies. The results demonstrate that market structure fundamentally determines supply chain resilience to trade policy uncertainty. For practice, the findings highlight the need for market-structure-aware resilience strategies: monopolies should dynamically adjust pass-through based on tariff levels, oligopolies should maintain consistent pass-through to coordinate with competitors, and competitive firms should prioritize cost reduction, diversification, and consolidation to survive tariff shocks. For policymakers, the results underscore the extreme vulnerability of competitive industries to tariff volatility, the need to monitor oligopolistic coordination that may harm consumers, and the importance of considering market concentration when designing trade policy. This research extends profit maximization and survival-based theories by demonstrating that resilience mechanisms are contingent on competitive position, and it provides a framework for understanding the differential impacts of tariffs across industries. The hierarchy of resilience revealed by this analysis—oligopolies most resilient, monopolies most volatile, and competitive firms most vulnerable—offers a foundation for firms navigating volatile trade environments and for policymakers designing effective trade policies.
    @article{oscm-2026-962,
  title={Market Structure as a Moderator of Supply Chain Resilience: A Monte Carlo Simulation of Tariff Volatility},
  year={2026},
  author={Douglas L. McWilliams and Nero Edevbie},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={19},
  number={4},
  pages={671--686},
  doi={10.31387/oscm0670545}
}
    Douglas L. McWilliams, Nero Edevbie (2026). Market Structure as a Moderator of Supply Chain Resilience: A Monte Carlo Simulation of Tariff Volatility. Operations and Supply Chain Management: An International Journal, 19(4), 671-686. https://doi.org/10.31387/oscm0670545
  5. A Structural Model of Maritime Logistics Collaboration: Examining the Roles of Adaptive Leadership and Trust in Driving Performance
    • Dothy Dothy
    • Raja Oloan Saut Gurning
    • Imam Baihaqi
    • Bahana Wiradanti
    Abstract Full PDF Cite DOI: 10.31387/oscm0670546
    Maritime logistics collaboration research has concentrated on bilateral trust and digital integration, while the structural roles of adaptive leadership, organizational flexibility, trust, and internal capability as antecedents of collaboration remain underexplored, particularly in emerging archipelagic economies. This study develops and empirically tests a structural model using Partial Least Squares Structural Equation Modeling (PLS-SEM) with survey data from 120 Indonesian port stakeholders, situated within Indonesia’s National Logistics Ecosystem (NLE), a government reform initiative integrating cargo flows from vessel arrival to warehouse delivery through a unified national digital platform. The initial conceptual model, grounded in the literature, examines adaptive leadership, organizational flexibility, trust, and internal capability as antecedents of maritime logistics collaboration and collaboration as a driver of operational, financial, and environmental performance. Following measurement model assessment, the model was empirically respecified to address construct overlap and improve statistical robustness. The final model reveals a sequential mechanism in which Adaptive Leadership significantly strengthens Trust, Trust facilitates Strategic Collaboration, and Strategic Collaboration enables Operational Collaboration. Operational Collaboration subsequently improves Operational, Financial, and Environmental Performance, with the strongest effect observed on Operational Performance. The findings extend traditional trust centered collaboration perspectives by demonstrating how leadership and relational mechanisms progress through strategic and operational collaboration to generate multidimensional performance. The study therefore advances a governance-based orchestration perspective on maritime logistics collaboration while highlighting the importance of translating strategic alignment into coordinated operational action.
    @article{oscm-2026-1243,
  title={A Structural Model of Maritime Logistics Collaboration: Examining the Roles of Adaptive Leadership and Trust in Driving Performance},
  year={2026},
  author={Dothy Dothy and Raja Oloan Saut Gurning and Imam Baihaqi and Bahana Wiradanti},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={19},
  number={4},
  pages={687--710},
  doi={10.31387/oscm0670546}
}
    Dothy Dothy, Raja Oloan Saut Gurning, Imam Baihaqi, Bahana Wiradanti (2026). A Structural Model of Maritime Logistics Collaboration: Examining the Roles of Adaptive Leadership and Trust in Driving Performance. Operations and Supply Chain Management: An International Journal, 19(4), 687-710. https://doi.org/10.31387/oscm0670546
  6. Trends and Insights in Integrating Artificial Intelligence with Sustainable Supply Chain Management
    • Mariem Mrad
    • Mohamed Amine Frikha
    Abstract Full PDF Cite DOI: 10.31387/oscm0670547
    Background: Artificial intelligence (AI) and robotics are increasingly pivotal for reducing carbon emissions in supply chain management (SCM), yet research exploring their com-bined potential from a sustainability perspective remains fragmented. This study aims to systematically map the research landscape and synthesize evidence on their applications, benefits, and challenges. Methods: A systematic scoping review was conducted on 23 peer-reviewed studies from the Scopus database, published between 2013 and 2024. Data were systematically extracted and analyzed for publication trends, application domains (e.g., transportation, warehousing), specific AI and robotic technologies, emissions reduc-tion strategies, and implementation challenges. Results: The analysis reveals that AI-driven logistics optimization is the most frequently reported strategy for reducing transportation emissions, while robotic automation is commonly associated with im-proved energy efficiency in warehousing. Despite these benefits, the reviewed literature consistently identifies significant barriers, including the high energy demands of AI computation and complexities in data integration. Conclusions: This review confirms the transformative potential of AI and robotics for developing low-carbon supply chains. An evidence-based framework is proposed to guide practical implementation and identify critical gaps, such as the need for standardized validation benchmarks, to direct future research and accelerate the transition to sustainable SCM.
    @article{oscm-2026-742,
  title={Trends and Insights in Integrating Artificial Intelligence with Sustainable Supply Chain Management},
  year={2026},
  author={Mariem Mrad and Mohamed Amine Frikha},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={19},
  number={4},
  pages={711--727},
  doi={10.31387/oscm0670547}
}
    Mariem Mrad, Mohamed Amine Frikha (2026). Trends and Insights in Integrating Artificial Intelligence with Sustainable Supply Chain Management. Operations and Supply Chain Management: An International Journal, 19(4), 711-727. https://doi.org/10.31387/oscm0670547
  7. Stakeholder Requirements for Supply Chain Viability: A Vector-Based Consideration of Efficiency, Resilience, and Sustainability
    • Marcel Jaun
    • Jörg H. Grimm
    • Ann-Kathrin Gilliot
    • Tim Auer
    Abstract Full PDF Cite DOI: 10.31387/oscm0670548
    The concept of supply chain viability (SCV) has evolved into a thriving research area within supply chain management. SCV has largely been theorized from the narrow perspective of survival amid long-term crises. In this paper, we argue that organizations must balance the requirements of all stakeholders to achieve SCV. Based on a semi-systematic literature review and eight expert interviews, we have identified 26 overarching stakeholder requirements across the three SCV performance dimensions of efficiency, resilience, and sustainability. We found that the requirements diverge in content and priority across stakeholder groups. This divergence results in either paradoxical tensions or synergies. We subsequently introduce a vector-based model to analyze and compare the requirements systematically and present two research propositions. First, each identified stakeholder requirement influences efficiency, resilience, and sustainability simultaneously, albeit to varying degrees. Second, the aggregated direction and dispersion of all stakeholder requirements determine the priorities for the strategic development of SCV. This paper contributes to theory by introducing a stakeholder-focused approach to the systems-theoretical conceptualization that has dominated SCV research to date. For practitioners, the model provides a method for anticipating trade-offs and synergies, which can be used to prioritize future SCV practices.
    @article{oscm-2026-751,
  title={Stakeholder Requirements for Supply Chain Viability: A Vector-Based Consideration of Efficiency, Resilience, and Sustainability},
  year={2026},
  author={Marcel Jaun and Jörg H. Grimm and Ann-Kathrin Gilliot and Tim Auer},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={19},
  number={4},
  pages={728--744},
  doi={10.31387/oscm0670548}
}
    Marcel Jaun, Jörg H. Grimm, Ann-Kathrin Gilliot, Tim Auer (2026). Stakeholder Requirements for Supply Chain Viability: A Vector-Based Consideration of Efficiency, Resilience, and Sustainability. Operations and Supply Chain Management: An International Journal, 19(4), 728-744. https://doi.org/10.31387/oscm0670548
  8. How Relational Capital and Disruption Orientation Shape Supply Chain Resilience and Market Performance: A Multi-Group Analysis of SMEs and MNEs
    • Charles Arthur Robb
    • Aaron Rae Stephens
    • Minhyo Kang
    Abstract Full PDF Cite DOI: 10.31387/oscm0670549
    Supply chain disruptions have intensified in frequency and severity, compelling firms to develop adaptive capabilities to sustain competitive performance. This study examines how relational capital and supply chain disruption orientation contribute to supply chain resilience and market performance, and whether these relationships differ between small and medium-sized enterprises and multinational enterprises. Drawing on the relational view and dynamic capability theory, a framework is proposed in which relational capital and disruption orientation enhance resilience, which in turn drives market performance. Using survey data from 191 firms, the study finds that relational capital significantly strengthens both disruption orientation and resilience across firm sizes. Resilience emerges as the strongest predictor of market performance in the pooled sample. However, multi-group results reveal a significant asymmetry: the resilience–performance relationship is stronger for SMEs than for MNEs, while disruption orientation directly enhances performance only in large firms. These findings demonstrate that the performance returns of supply chain capabilities are contingent upon firm size. The study contributes to supply chain management literature by integrating relational and dynamic capability perspectives and highlighting structural context as a boundary condition in resilience research. Managerially, the results highlight the pivotal role of resilience for smaller firms operating under resource constraints.
    @article{oscm-2026-786,
  title={How Relational Capital and Disruption Orientation Shape Supply Chain Resilience and Market Performance: A Multi-Group Analysis of SMEs and MNEs},
  year={2026},
  author={Charles Arthur Robb and Aaron Rae Stephens and Minhyo Kang},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={19},
  number={4},
  pages={745--758},
  doi={10.31387/oscm0670549}
}
    Charles Arthur Robb, Aaron Rae Stephens, Minhyo Kang (2026). How Relational Capital and Disruption Orientation Shape Supply Chain Resilience and Market Performance: A Multi-Group Analysis of SMEs and MNEs. Operations and Supply Chain Management: An International Journal, 19(4), 745-758. https://doi.org/10.31387/oscm0670549
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