Artificial Intelligence-Enabled Digital Transformation in Circular Logistics: A Structural Equation Model of Organizational, Technological, and Environmental Drivers

Ionica Oncioiu, Diana Andreea Mândricel () and Mihaela Hortensia Hojda
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Ionica Oncioiu: Department of Informatics, Faculty of Informatics, Titu Maiorescu University, 040051 Bucharest, Romania
Diana Andreea Mândricel: Department of Economic Sciences, Faculty of Economic Sciences, Titu Maiorescu University, 040051 Bucharest, Romania
Mihaela Hortensia Hojda: Department of Economic Sciences, Faculty of Economic Sciences, Valahia University, 130024 Targoviste, Romania

Logistics, 2025, vol. 9, issue 3, 1-28

Abstract: Background : Digital transformation is increasingly present in modern logistics, especially in the context of sustainability and circularity pressures. The integration of technologies such as Internet of Things (IoT), Radio Frequency Identification (RFID), and automated platforms involves not only infrastructure but also a strategic vision, a flexible organizational culture, and the ability to support decisions through artificial intelligence (AI)-based systems. Methods : This study proposes an extended conceptual model using structural equation modelling (SEM) to explore the relationships between five constructs: technological change, strategic and organizational readiness, transformation environment, AI-enabled decision configuration, and operational redesign. The model was validated based on a sample of 217 active logistics specialists, coming from sectors such as road transport, retail, 3PL logistics services, and manufacturing. The participants are involved in the digitization of processes, especially in activities related to operational decisions and sustainability. Results : The findings reveal that the analysis confirms statistically significant relationships between organizational readiness, transformation environment, AI-based decision processes, and operational redesign. Conclusions : The study highlights the importance of an integrated approach in which technology, organizational culture, and advanced decision support collectively contribute to the transition to digital and circular logistics chains.

Keywords: artificial intelligence; circular logistics; digital transformation; decision configuration; operational redesign; sustainable supply chains (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlogis:v:9:y:2025:i:3:p:102-:d:1715687

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