Supply Chain Management Journal最新文献

{"title":"A structured framework for improving digital transformation maturity in food supply chains","authors":"Shiyi Wang,Abhijeet Ghadge,Emel Aktas","doi":"10.1108/scm-03-2026-0266","DOIUrl":"https://doi.org/10.1108/scm-03-2026-0266","url":null,"abstract":"Purpose Digital transformation is the transition from traditional to digital supply chains, enabled by emerging technologies. A digital transformation maturity assessment is necessary to manage this transition effectively. However, existing maturity frameworks for digital transformation in supply chains lack a structured process with detailed actions guiding maturity improvement. This research, therefore, aims to develop a digital transformation maturity improvement framework with evidence from food supply chains (FSCs). Design/methodology/approach In-depth case studies conducted in two food companies were used to gain insights into the digital transformation journey. Adopting diffusion of innovation (DOI) theory, a seven-step maturity improvement process was established, taking into account context-specific influences. Insights obtained from 32 FSC practitioners through a workshop were used to confirm the framework and identify additional improvement actions. Findings The developed prescriptive digital transformation maturity improvement framework presents a circular improvement process, beginning with an evaluation of the current digital transformation status and progressing through the seven steps (initiation planning, alignment, preparation, configuration, pilot testing, scaling and sustaining), followed by re-evaluation to support continuous improvement. The identified internal and external contextual influences highlight their relevance to FSCs. Step-specific actions are provided for advancing digital transformation maturity. Originality/value This study extends the application of DOI theory to develop a maturity improvement process for digital transformation in FSCs. It enriches the understanding of DOI by emphasising the “sustaining” step, which aims to maintain achieved maturity levels and accommodate the evolving nature of digital supply chains.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"73 1","pages":"1-26"},"PeriodicalIF":0.0,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Building antifragile humanitarian supply chains: the role of transactive memory systems and big data analytics culture","authors":"Murilo Zamboni Alvarenga,Susana Carla Farias Pereira,Maciel M. Queiroz,Rodolfo Modrigais Strauss Nunes","doi":"10.1108/scm-09-2025-0870","DOIUrl":"https://doi.org/10.1108/scm-09-2025-0870","url":null,"abstract":"Purpose This study aims to investigate how big data analytics culture (BDAC) contributes to the development of antifragile humanitarian supply chains. Specifically, this study examines the mediating role of transactive memory systems (TMSs) and the moderating role of the frequency of natural disasters in the relationship between TMS and antifragility. Design/methodology/approach The authors collected 290 survey responses from key humanitarian professionals involved in disaster response operations. To test the proposed relationships among BDAC, TMS, antifragility and disaster frequency, the authors used Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings The results of this study reveal that BDAC enhances antifragility only when fact-based decision-making improves information credibility, member specialization and coordination, core manifestations of TMS. TMS fully mediates the relationship between BDAC and antifragility, while the positive effect of TMS on antifragility is stronger in contexts with frequent natural disasters. Originality/value This paper advances the literature by empirically demonstrating TMS as the underlying mechanism linking BDAC to antifragility in humanitarian supply chains, showing how TMS operate as microfoundations of dynamic capabilities that enable collective sensing, coordinated decision-making and the reconfiguration of practices.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"15 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green absorptive capacity and environmental sustainability: unveiling the interplay and moderating roles of blockchain and supply chain finance","authors":"Mahmoud Barakat","doi":"10.1108/scm-01-2026-0035","DOIUrl":"https://doi.org/10.1108/scm-01-2026-0035","url":null,"abstract":"Purpose Drawing on dynamic capability theory and the natural resource-based view, this study aims to examine how green absorptive capacity (GAC) enhances environmental sustainability performance (ESP) through financial performance (FP) and operational performance (OP) and how blockchain technology (BCT) and supply chain finance (SCF) strengthen these indirect relationships. Design/methodology/approach Data were collected from 522 organisations in Egypt and 508 in Jordan. Covariance-based structural equation modelling was used to test the moderated mediation model. Findings The results show that in both Egypt and Jordan, GAC improves ESP indirectly through FP and OP. In Jordan, blockchain technology strengthens the indirect relationship through both financial and operational performance, whereas in Egypt these blockchain effects are not supported. Supply chain finance strengthens the indirect relationship through operational performance in both countries, but not through financial performance. The nested model comparison indicates that whilst the overall model applies to both contexts, BCT and SCF exert varying degrees of influence in Egypt and Jordan. Research limitations/implications The results can support policymakers and organisational stakeholders by showing how digital technologies and green financing mechanisms can be used to strengthen the impact of green knowledge on performance and accelerate progress towards environmental sustainability. Originality/value This study develops and tests an integrated moderated mediation framework explaining how green absorptive capacity enhances environmental sustainability performance through financial and operational performance and how blockchain technology and supply chain finance strengthen these indirect relationships. By comparing Egypt and Jordan, the study extends dynamic capability theory and the natural resource-based view through context-specific evidence from two Arab emerging economies and reveals country-specific differences in the effectiveness of digital and financial enablers.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"15 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149151668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital ecosystems and supply chain resilience in manufacturing: the mediating role of supply chain complexity in technology-driven operations","authors":"Aamir Rashid,Rizwana Rasheed","doi":"10.1108/scm-04-2026-0527","DOIUrl":"https://doi.org/10.1108/scm-04-2026-0527","url":null,"abstract":"Purpose This study aims to examine the association between digital ecosystems and supply chain resilience in manufacturing firms, with particular attention to the statistical mediating role of supply chain complexity. It addresses the limited understanding of how digital technologies, including AI, IoT, and cybersecurity, operate collectively rather than in isolation. Design/methodology/approach Drawing on the resource-based view (RBV) and dynamic capability view (DCV), the study employs a quantitative research design using survey data from 732 managerial and supervisory respondents working in manufacturing firms in Mississippi, West Virginia, and Arkansas. Structural equation modeling (SEM) using AMOS is applied to test the proposed relationships. Findings The results indicate that digital ecosystems are positively associated with supply chain resilience, with cybersecurity exhibiting the strongest association with the Digital Ecosystem construct. Supply chain complexity shows a positive but comparatively smaller association with resilience and the statistically significant indirect relationship is consistent with partial mediation. Research limitations/implications The study is limited to manufacturing firms in selected U.S. states, which may affect generalizability. Future research could explore cross-industry and cross-country contexts and examine additional mediating or moderating mechanisms. Practical implications The findings suggest that managers should consider investing in integrated digital infrastructure, prioritizing cybersecurity capabilities and using data-driven technologies while proactively managing the complexity of digital transformation. Originality/value This study advances a systems-level understanding of digital ecosystems in supply chains by showing that integrated digital capabilities, rather than isolated technologies, are positively associated with resilience in complex operational environments.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"15 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149092964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From commitment to routine practice: explaining uneven sustainability implementation in multi-tier value chains","authors":"Ramin Behbehani,Demir Kaya","doi":"10.1108/scm-04-2026-0455","DOIUrl":"https://doi.org/10.1108/scm-04-2026-0455","url":null,"abstract":"Purpose This study aims to examine why sustainability initiatives in multi-tier value chains often fail to become embedded in routine practice, despite growing investment in traceability systems, reporting routines, digital tools, supplier development and process changes. It focuses on how such initiatives become consequential in practice and develop into uneven implementation trajectories that may stabilise, drift, become diluted, or be redirected across organisational positions. Design/methodology/approach Adopting paradox theory as a sensitising lens, the study uses an abductive, episode-based qualitative design in the petrochemical sector. It identifies 43 sustainability decision episodes and reconstructs 31 of them across linked organisational positions using interviews, follow-up interviews, focus groups or workshops, and documentary and workflow artefacts. Findings Sustainability initiatives became consequential as practical triggers that disrupted existing routines, accountabilities and coordination patterns. Their effects were shaped by how actors interpreted them through concerns about practical mastery, role and accountability, coordination and relational fit, and practical legitimacy. These concerns gave rise to defensive or integrative response patterns, depending partly on the relational conditions under which implementation unfolded. Over time, these responses accumulated into four recurring implementation trajectories: drift, toggling, stabilisation and recalibration. Originality/value The paper explains uneven sustainability implementation as a process through which sustainability initiatives are interpreted and enacted across multiple organisational positions and over time. In doing so, it extends sustainable value chain research beyond structural explanations and offers a process account of why similar initiatives stall, stabilise or are revised in practice.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"83 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149092966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hybrid machine learning framework for supplier risk prediction and segmentation: an automotive supply chain case study","authors":"Zahra GolchinZar,Bakhtiar Ostadi,Ehsan Nikbakhsh,Mahdi Esmaeili","doi":"10.1108/scm-11-2025-1094","DOIUrl":"https://doi.org/10.1108/scm-11-2025-1094","url":null,"abstract":"Purpose This study aims to develop a hybrid data-driven framework for supplier risk assessment in automotive supply chains. It seeks to integrate predictive modeling with clustering techniques to proactively identify and categorize supplier risks, enabling enhanced operational stability and resilience. The research focuses on creating a decision-support tool that combines expert-validated risk indicators with advanced machine learning (ML) methods to address gaps in traditional risk management approaches. Design/methodology/approach A systematic methodology was used, combining Delphi-based expert validation (28 indicators from 36 initial factors) with ML. Data from 500 suppliers were preprocessed (K‑nearest neighbor (KNN) outlier removal, MinMax scaling), and feature selection was performed using PCA/LASSO/Ridge. Six regression models were optimized (Grid Search and Optuna), with support vector regression (SVR) showing best performance. Agglomerative clustering segmented suppliers based on risk profiles. Findings Support vector regression achieved superior predictive accuracy among tested models. Clustering revealed a significant future shift toward higher-risk supplier segments, with low-risk suppliers decreasing notably. The study confirms that increasing budget allocation does not automatically reduce risk or enhance resilience. Expert-validated indicators proved crucial for accurate risk assessment, while the hybrid framework effectively segments suppliers for targeted risk mitigation strategies. Originality/value This research contributes a novel hybrid framework integrating prediction and clustering for supplier risk management. It introduces expert-validated indicators through Delphi methodology and demonstrates their critical role in risk modeling. The study provides automotive manufacturers with a practical decision-support tool for proactive risk mitigation and resource allocation, bridging the gap between theoretical risk models and practical supply chain challenges.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"9 1","pages":"1096-1109"},"PeriodicalIF":0.0,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149123625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating blockchain assimilation in supply chain organisations: an integrated institutional and innovation assimilation perspective","authors":"Colin Callinan,Trevor Clohessy,Amaya Vega,Graham Heaslip","doi":"10.1108/scm-10-2025-0961","DOIUrl":"https://doi.org/10.1108/scm-10-2025-0961","url":null,"abstract":"Purpose This study aims to examine how institutional pressures shape the adoption, assimilation and integration of blockchain technologies in supply chain organisations. By combining Gallivan’s innovation assimilation model with institutional theory, the paper explains why blockchain projects frequently stall or regress. Design/methodology/approach Qualitative data from semi-structured interviews with blockchain vendors, adopters and ecosystem actors are triangulated with a systematic literature review to map institutional influences across assimilation stages. Findings The analysis identifies four institutional mechanisms; network legitimacy, coordinated uncertainty reduction, institutional paradoxes and cross-organisational cognitive reframing which collectively explain non-linear and uneven assimilation trajectories. Regulative, normative and cognitive pressures function as both enablers and constraints at different stages, particularly during routinisation and infusion. Practical implications The findings provide managers and policymakers with guidance on reducing institutional friction, aligning incentives across supply chain tiers and supporting stable governance and assurance structures required for sustained blockchain integration. Originality/value The study advances supply chain management research by showing how multi-tier governance, power asymmetries and certification regimes shape blockchain assimilation. It offers a multi-level explanation for why blockchain rarely progresses beyond early pilots into embedded, long term practice.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"34 1","pages":"194-209"},"PeriodicalIF":0.0,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149124103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards environmental and economic sustainability through interorganisational postponement: a relational perspective","authors":"Trung Hieu Le,Lorenzo Bruno Prataviera,Heather Dawn Skipworth,Abhijeet Ghadge","doi":"10.1108/scm-12-2025-1273","DOIUrl":"https://doi.org/10.1108/scm-12-2025-1273","url":null,"abstract":"Purpose Firms face increasing pressure to reduce environmental impacts while maintaining cost-effective supply chains (SCs). Postponement has emerged as a promising strategy, yet existing research offers inconsistent evidence on its environmental and economic implications. In addition, the implementation of postponement relies on interorganisational collaboration, yet the relational processes underlying this implementation remain underexplored. This study aims to examine how interorganisational postponement is implemented and how it supports the joint pursuit of environmental and economic sustainability. Design/methodology/approach Drawing on the relational view (RV), the study analyses an in-depth single case of a UK-based multinational manufacturer implementing interorganisational postponement with three suppliers. Using a process-based approach, we examine interviews, internal documents and operational data to trace how the four sources of relational rents enable the implementation of postponement and how underlying relational mechanisms connect these sources to sustainability outcomes over time. Findings Interorganisational postponement implementation is enabled by complementary resources and capabilities, relation-specific assets, knowledge-sharing routines and effective governance, which operate through underlying relational mechanisms including resource convergence and divergence, asymmetric investment adaptation, information-processing capabilities and formalised governance. These mechanisms explain how partner fit changes, investment commitments adapt, knowledge is processed across firms and governance becomes more formalised as operational complexity increases. Through these mechanisms, interorganisational postponement contributes to sustainability rents, reflected in joint environmental and economic gains such as lower emissions, reduced waste, tariff savings and improved transport efficiency. Originality/value The study offers a relational and processual understanding of postponement’s role in sustainable SC management by moving beyond a firm-centred, static view to explain how it unfolds across the SC. It illustrates how interfirm resources and relational mechanisms shape whether environmental and economic outcomes are jointly created and preserved. Accordingly, it extends the RV by providing a more nuanced understanding of the established sources of relational rents and the underlying relational mechanisms through which these sources evolve and contribute to sustainability rents, highlighting how interorganisational collaboration can co-create environmental and economic value through the implementation of postponement.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"4 1","pages":"173-193"},"PeriodicalIF":0.0,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring the value of blockchain adoption in supply chain management: an empirical analysis of key success dimensions","authors":"Marc Hübschke,Marius Gros,Benedikt Latos,Elmar Holschbach,Stefan Lier","doi":"10.1108/scm-02-2026-0170","DOIUrl":"https://doi.org/10.1108/scm-02-2026-0170","url":null,"abstract":"Purpose Blockchain technology is widely discussed as an enabler of transparency, efficiency and trust in supply chain management (SCM). However, empirical evidence on which blockchain-related success dimensions translate into value perceptions remains limited. This study aims to examine how the perceived relevance of blockchain success dimensions relates to realized benefits and whether these benefits contribute to overall perceived blockchain value. Design/methodology/approach A quantitative survey of 41 companies with blockchain experience in SCM is conducted. Success dimensions are prioritized using best–worst scaling (MaxDiff). Relationships between perceived relevance, dimension-specific benefits and overall perceived value are analyzed using partial least squares structural equation modeling (PLS-SEM). Exploratory analyses assess company characteristics. Findings Contrary to dominant expectations in academic and practitioner narratives, even highly prioritized blockchain success dimensions fail to translate into measurable firm-level value perceptions. While transparency and traceability are associated with significant dimension-specific benefits, these improvements do not produce statistically significant direct or indirect effects on overall perceived blockchain value. This suggests that localized operational gains alone may be insufficient to generate overall perceived value and indicates that blockchain benefits may depend on broader organizational and technological complements. Originality/value The study moves beyond identifying potential blockchain benefits by empirically differentiating which success dimensions matter and which do not. By combining MaxDiff with PLS-SEM, it offers a structured, mechanism-oriented framework for evaluating blockchain success and highlights boundary conditions for value realization in SCM.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"267 1","pages":"155-172"},"PeriodicalIF":0.0,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic adoption of additive manufacturing in edible product supply chains: a resource-based view on sustainability","authors":"Wenqi Li,Banu Yetkin Ekren,Emel Aktas","doi":"10.1108/scm-11-2025-1169","DOIUrl":"https://doi.org/10.1108/scm-11-2025-1169","url":null,"abstract":"Purpose This study aims to examine how the strategic value of additive manufacturing (AM) is created in edible product supply chains, using the resource-based view (RBV) as a theoretical lens. Design/methodology/approach Drawing on 29 semi-structured interviews with experts from the food, pharmaceutical and AM sectors, this research refines an initial, literature-based conceptual model and develops an empirically grounded framework. Findings AM’s VRIN attributes are necessary but not sufficient for strategic value; value depends on deployment within supply chain configurations. Three pathways are identified: supply chain transformation, product innovation and operational improvement. SMEs integrate AM strategically, while large incumbents often contain it within R&D. Sustainability outcomes remain conditional on economic viability, which acts as a gatekeeper for environmental and social value. Practical implications The framework offers decision guidance for practitioners: SMEs are shown the organisational prerequisites for pursuing supply chain transformation through AM, while large firms are given concrete signals for when to migrate AM from R&D into core operations. Policy levers for lowering adoption barriers are also identified. Originality/value This study extends the RBV by revealing that resources generate competitive advantage through multiple independent pathways, and that organisational context determines resource strategic status, not merely moderating effectiveness but fundamentally shaping whether resources function strategically or operationally. It provides the first interview-based evidence of these dynamics in the previously underexamined context of edible product supply chains.","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"34 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}