cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
,
INDONESIA
International Journal of Supply Chain Management
Published by ExcelingTech
ISSN : 20513771     EISSN : 20507399     DOI : -
Core Subject : Science, Social, Engineering,
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation
International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts accepted for publication in IJSCM must have clear implications for Supply chain managers based on one or more of a variety of rigorous research methodologies. IJSCM also publishes insightful meta-analyses of the SCM literature, conceptual/theoretical studies with clear implications for practice, comments on past articles, studies concerning the SCM field itself, and other such matters relevant to SCM.
Arjuna Subject : -
Articles 2,573 Documents
 254   255   256   257   258 
Ontology-Driven AI Integration in Supply Chain Management: A Design Science Framework Prakash Jeganathan Perumal
International Journal of Supply Chain Management Vol 15, No 3 (2026): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v15i3.6403

Abstract

Supply chain organizations are hitting a wall with AI (Artificial Intelligence) automation initiatives because their data is a fragmented mess. Inconsistent terminology and siloed systems create a structural bottleneck that kills AI effectiveness before it can even scale. This study delivers the essential semantic infrastructure with a specialized ontology framework specifically designed to bridge these existing gaps. It transforms AI from a disconnected tool into a scalable, explainable, and high-performing asset that actually works across the entire supply chain network. Utilizing a rigorous Design Science Research (DSR) approach, this study moves beyond theory to build a high-functioning solution for real-world operational failures. By analysing documented semantic gaps in current supply chains, a domain-specific ontology was engineered to formalize every relationship, attribute, and constraint within the operation. This framework was then stress-tested through scenario analysis across procurement, forecasting, inventory management, and logistics to ensure it demonstrates potential utility and logical coherence. The results are clear, this ontology successfully bridges the gap between fragmented systems, ensuring data remains consistent and actionable across the entire network. By embedding logical rules and explicit relationships directly into the data structure, the framework facilitates interoperability across heterogeneous platforms. This doesn't just make systems talk to each other; it empowers AI to perform complex reasoning and enhances traceability for every decision made, ensuring total transparency. This research redefines the “ontology” as a strategic mandate for AI success rather than a mere modelling exercise. It proves that semantic architecture is the primary driver of AI scalability. For industry leaders, this provides a structured pathway for harmonizing data definitions and building a foundation that can support large-scale, high-stakes AI integration.
Agentic AI in Supply Chain Orchestration: Towards a Framework for Autonomous, Resilient, and Intelligent Supply Networks Piu Ghosh
International Journal of Supply Chain Management Vol 15, No 3 (2026): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v15i3.6410

Abstract

Global supply chains face unprecedented complexity and volatility, accelerating demand for adaptive management systems beyond human-in-the-loop AI. This paper examines agentic AI — AI systems capable of autonomous, goal-directed behavior across multi-step tasks — as applied to end-to-end supply chain orchestration. Unlike conventional AI tools that recommend actions for human execution, agentic AI systems independently perceive supply chain states, reason about optimal interventions, and execute decisions across procurement, inventory, logistics, and risk management functions. Drawing on emerging literature and practitioner experience managing supply chain operations at scale, this paper makes four principal contributions. First, it traces the evolution from assistive AI to autonomous agents, establishing a conceptual foundation for understanding the transformative shift underway. Second, it examines the architectural components of multi-agent supply chain systems, detailing how specialized agents collaborate within enterprise infrastructure. Third, it maps key application domains where agentic AI is generating measurable operational impact. Fourth, it proposes the STAR Framework — comprising Structure, Trust, Adaptation, and Resilience — as a governance architecture for responsible deployment. The paper further introduces an Autonomy Decision Matrix that calibrates agent authority to risk exposure and decision certainty, and critically examines the Deskilling Hypothesis as a counter-theoretical challenge to autonomous supply chain management. Three illustrative case applications validate the framework's practical relevance. Implications for practitioners, organizational designers, and researchers are discussed.
The Innovation Paradox in Public Procurement: A Systematic Review and Conceptual Taxonomy Pross Oluka Nagitta; Gracious Jean Ampumuza; Robert Agwot Komakech; John Michael Maxel Okoche; Peter Adoko Obicci
International Journal of Supply Chain Management Vol 15, No 3 (2026): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v15i3.6404

Abstract

Public procurement is increasingly recognized as a strategic policy instrument for stimulating innovation, addressing societal challenges, and creating public value. Despite growing policy support and scholarly interest, the implementation of innovation-oriented procurement remains uneven, with public organizations frequently struggling to translate innovation ambitions into practice. This study systematically reviews the literature on Public Procurement Innovation (PPI) to identify the drivers and constraints influencing innovation-oriented procurement, examine the conditions shaping its implementation, and explain the persistence of the innovation paradox. Drawing on Institutional Theory and Innovation Systems Theory, the study employs a systematic literature review methodology to analyse 133 peer-reviewed articles published between 2006 and 2024 and indexed in the Scopus database. The findings reveal that innovation procurement outcomes are shaped by four interrelated dimensions: institutional conditions, regulatory frameworks, organizational capabilities, and market dynamics. Policy commitment, governance coordination, flexible procurement instruments, organizational competencies, supplier engagement, and supportive innovation ecosystems emerge as important enablers of innovation-oriented procurement. Conversely, fragmented governance structures, procedural rigidity, capability deficits, risk aversion, information asymmetries, and weak market responsiveness frequently constrain implementation. The review demonstrates that innovation outcomes depend not on individual factors alone but on the alignment of conditions across these dimensions. The study contributes to the literature by advancing a multidimensional explanation of the innovation paradox in public procurement and developing a conceptual taxonomy that integrates institutional, regulatory, organizational, and market perspectives into a unified analytical framework. The findings offer theoretical insights into the governance of innovation-oriented procurement and practical implications for policymakers and procurement practitioners seeking to strengthen innovation outcomes through public procurement.

Page 258 of 258 | Total Record : 2573

 254   255   256   257   258 

Filter by Year

2012 2026


Reset
Filter By Issues
All Issue Vol 15, No 3 (2026): International Journal of Supply Chain Management (IJSCM) Vol 15, No 2 (2026): International Journal of Supply Chain Management (IJSCM) Vol 15, No 1 (2026): International Journal of Supply Chain Management (IJSCM) Vol 14, No 6 (2025): International Journal of Supply Chain Management (IJSCM) Vol 14, No 5 (2025): International Journal of Supply Chain Management (IJSCM) Vol 14, No 4 (2025): International Journal of Supply Chain Management (IJSCM) Vol 14, No 3 (2025): International Journal of Supply Chain Management (IJSCM) Vol 14, No 2 (2025): International Journal of Supply Chain Management (IJSCM) Vol 14, No 1 (2025): International Journal of Supply Chain Management (IJSCM) Vol 13, No 6 (2024): International Journal of Supply Chain Management (IJSCM) Vol 13, No 5 (2024): International Journal of Supply Chain Management (IJSCM) Vol 13, No 4 (2024): International Journal of Supply Chain Management (IJSCM) Vol 13, No 3 (2024): International Journal of Supply Chain Management (IJSCM) Vol 13, No 2 (2024): International Journal of Supply Chain Management (IJSCM) Vol 13, No 1 (2024): International Journal of Supply Chain Management (IJSCM) Vol 12, No 6 (2023): International Journal of Supply Chain Management (IJSCM) Vol 12, No 5 (2023): International Journal of Supply Chain Management (IJSCM) Vol 12, No 4 (2023): International Journal of Supply Chain Management (IJSCM) Vol 12, No 3 (2023): International Journal of Supply Chain Management (IJSCM) Vol 12, No 2 (2023): International Journal of Supply Chain Management (IJSCM) Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM) Vol 11, No 6 (2022): International Journal of Supply Chain Management (IJSCM) Vol 11, No 5 (2022): International Journal of Supply Chain Management (IJSCM) Vol 11, No 4 (2022): International Journal of Supply Chain Management (IJSCM) Vol 11, No 3 (2022): International Journal of Supply Chain Management (IJSCM) Vol 11, No 2 (2022): International Journal of Supply Chain Management (IJSCM) Vol 11, No 1 (2022): International Journal of Supply Chain Management (IJSCM) Vol 10, No 6 (2021): International Journal of Supply Chain Management (IJSCM) Vol 10, No 5 (2021): International Journal of Supply Chain Management (IJSCM) Vol 10, No 4 (2021): International Journal of Supply Chain Management (IJSCM) Vol 10, No 3 (2021): International Journal of Supply Chain Management (IJSCM) Vol 10, No 2 (2021): International Journal of Supply Chain Management (IJSCM) Vol 10, No 1 (2021): International Journal of Supply Chain Management (IJSCM) Vol 9, No 6 (2020): International Journal of Supply Chain Management (IJSCM) Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM) Vol 9, No 4 (2020): International Journal of Supply Chain Management (IJSCM) Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM) Vol 9, No 2 (2020): International Journal of Supply Chain Management (IJSCM) Vol 9, No 1 (2020): International Journal of Supply Chain Management (IJSCM) Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM) Vol 8, No 5 (2019): International Journal of Supply Chain Management (IJSCM) Vol 8, No 4 (2019): International Journal of Supply Chain Management (IJSCM) Vol 8, No 3 (2019): International Journal of Supply Chain Management (IJSCM) Vol 8, No 3 (2019): International Journal of Supply Chain Management (IJSCM) Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM) Vol 8, No 1 (2019): International Journal of Supply Chain Management (IJSCM) Vol 7, No 6 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 6 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 5 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 5 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 4 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 3 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 3 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 2 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 2 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 1 (2018): International Journal of Supply Chain Management (IJSCM) Vol 7, No 1 (2018): International Journal of Supply Chain Management (IJSCM) Vol 6, No 4 (2017): International Journal of Supply Chain Management (IJSCM) Vol 6, No 4 (2017): International Journal of Supply Chain Management (IJSCM) Vol 6, No 3 (2017): International Journal of Supply Chain Management (IJSCM) Vol 6, No 3 (2017): International Journal of Supply Chain Management (IJSCM) Vol 6, No 2 (2017): International Journal of Supply Chain Management (IJSCM) Vol 6, No 2 (2017): International Journal of Supply Chain Management (IJSCM) Vol 6, No 1 (2017): International Journal of Supply Chain Management (IJSCM) Vol 6, No 1 (2017): International Journal of Supply Chain Management (IJSCM) Vol 5, No 4 (2016): International Journal of Supply Chain Management (IJSCM) Vol 5, No 4 (2016): International Journal of Supply Chain Management (IJSCM) Vol 5, No 3 (2016): International Journal of Supply Chain Management (IJSCM) Vol 5, No 3 (2016): International Journal of Supply Chain Management (IJSCM) Vol 5, No 2 (2016): International Journal of Supply Chain Management (IJSCM) Vol 5, No 2 (2016): International Journal of Supply Chain Management (IJSCM) Vol 5, No 1 (2016): International Journal of Supply Chain Management (IJSCM) Vol 5, No 1 (2016): International Journal of Supply Chain Management (IJSCM) Vol 4, No 4 (2015): International Journal of Supply Chain Management (IJSCM) Vol 4, No 4 (2015): International Journal of Supply Chain Management (IJSCM) Vol 4, No 3 (2015): International Journal of Supply Chain Management (IJSCM) Vol 4, No 2 (2015): International Journal of Supply Chain Management (IJSCM) Vol 4, No 2 (2015): International Journal of Supply Chain Management (IJSCM) Vol 4, No 1 (2015): International Journal of Supply Chain Management (IJSCM) Vol 4, No 1 (2015): International Journal of Supply Chain Management (IJSCM) Vol 3, No 4 (2014): International Journal of Supply Chain Management (IJSCM) Vol 3, No 4 (2014): International Journal of Supply Chain Management (IJSCM) Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM) Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM) Vol 3, No 2 (2014): International Journal of Supply Chain Management (IJSCM) Vol 3, No 2 (2014): International Journal of Supply Chain Management (IJSCM) Vol 3, No 1 (2014): International Journal of Supply Chain Management (IJSCM) Vol 2, No 4 (2013): International Journal of Supply Chain Management (IJSCM) Vol 2, No 3 (2013): International Journal of Supply Chain Management (IJSCM) Vol 2, No 3 (2013): International Journal of Supply Chain Management (IJSCM) Vol 2, No 2 (2013): International Journal of Supply Chain Management (IJSCM) Vol 2, No 2 (2013): International Journal of Supply Chain Management (IJSCM) Vol 2, No 1 (2013): International Journal of Supply Chain Management (IJSCM) Vol 2, No 1 (2013): International Journal of Supply Chain Management (IJSCM) Vol 1, No 3 (2012): International Journal of Supply Chain Management (IJSCM) Vol 1, No 3 (2012): International Journal of Supply Chain Management (IJSCM) Vol 1, No 2 (2012): International Journal of Supply Chain Management (IJSCM) Vol 1, No 2 (2012): International Journal of Supply Chain Management (IJSCM) Vol 1, No 1 (2012): International Journal of Supply Chain Management (IJSCM) Vol 1, No 1 (2012): International Journal of Supply Chain Management (IJSCM) More Issue