Data-driven digital transformation in operations and supply chain management

IF 9.8 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics Pub Date : 2025-03-13 DOI:10.1016/j.ijpe.2025.109599

Konstantina Spanaki , Denis Dennehy , Thanos Papadopoulos , Rameshwar Dubey

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引用次数: 0

Abstract

Data-driven digital transformation is a dynamic capability that enables organisations to derive actionable insights and achieve a competitive edge. Data-driven technologies have played a pivotal role in evolving operations and supply chains, making them more responsive and efficient. Data-driven technologies now support advanced functions such as supply chain analytics, blockchain for security and transparency, and AI for innovation and efficiency. Research has long stressed the benefits of improved visibility and collaboration in the operations and supply chain management (O&SCM). Despite rigorous research, there remains a disconnect between theoretical frameworks and their real-world application. This gap suggests further research to better align academic insights with practical implementations in OSCM and a more comprehensive and integrated approach to understanding and applying data-driven digital transformation strategies in O&SCM. This special issue (SI) aims to deepen the theoretical understanding of data-driven digital transformation within O&SCM. We believe the 20 accepted papers out of 97 submissions contribute meaningful theoretical insights to O&SCM research and practice. These contributions not only enrich the theoretical discourse in data-driven digital transformation and O&SCM but also provide practical pathways for future research and application in diverse industry settings.

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数据驱动的运营和供应链管理数字化转型

数据驱动的数字化转型是一种动态能力，使组织能够获得可操作的见解并获得竞争优势。数据驱动技术在不断发展的运营和供应链中发挥了关键作用，使其更具响应性和效率。数据驱动技术现在支持先进的功能，如供应链分析，区块链的安全性和透明度，以及人工智能的创新和效率。长期以来，研究一直强调在运营和供应链管理（O&；SCM）中改进可见性和协作的好处。尽管进行了严格的研究，但理论框架与其实际应用之间仍然存在脱节。这一差距建议进一步研究，以更好地将学术见解与OSCM中的实际实现结合起来，并采用更全面、更集成的方法来理解和应用数据驱动的数字化转型战略。本期特刊（SI）旨在加深对O&；SCM中数据驱动的数字化转型的理论理解。我们相信，97篇论文中有20篇被接受，为供应链管理的研究和实践提供了有意义的理论见解。这些贡献不仅丰富了数据驱动的数字化转型和O&；SCM的理论论述，而且为未来在不同行业环境中的研究和应用提供了实践途径。

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来源期刊

International Journal of Production Economics 管理科学-工程：工业

CiteScore

21.40

自引率

7.50%

发文量

266

审稿时长

52 days

期刊介绍： The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.