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Khalili, S., EMAMIAN, S., Ghazizadeh, S., armoon, A. (2026). Analysis of Science and Technology Trends Affecting Logistics. Electronic and Cyber Defense, 28(90), 107-131. doi: 10.47176/scmj.2026.1619
Saeed Khalili; soheil EMAMIAN; Seyyed Ziauddin Ghazizadeh; arash armoon. "Analysis of Science and Technology Trends Affecting Logistics". Electronic and Cyber Defense, 28, 90, 2026, 107-131. doi: 10.47176/scmj.2026.1619
Khalili, S., EMAMIAN, S., Ghazizadeh, S., armoon, A. (2026). 'Analysis of Science and Technology Trends Affecting Logistics', Electronic and Cyber Defense, 28(90), pp. 107-131. doi: 10.47176/scmj.2026.1619
Khalili, S., EMAMIAN, S., Ghazizadeh, S., armoon, A. Analysis of Science and Technology Trends Affecting Logistics. Electronic and Cyber Defense, 2026; 28(90): 107-131. doi: 10.47176/scmj.2026.1619

Analysis of Science and Technology Trends Affecting Logistics

مدیریت زنجیره تأمین
Volume 28, Issue 90, June 2026, Pages 107-131    PDF (2.04 M)
Document Type: Scientific Paper
DOI: 10.47176/scmj.2026.1619
Authors
Saeed Khalili* 1; soheil EMAMIAN2; Seyyed Ziauddin Ghazizadeh2; arash armoon3
1PhD Student of Industrial Engineering, Faculty of Engineering, Imam Hossein University, Tehran, Iran.
2Associate Professor of Department of Industrial Engineering, Faculty of Engineering, Imam Hossein University, Tehran, Iran.
3Director of the Logistics Research Center, Imam Hossein University, Tehran, Iran.
Receive Date: 28 April 2025,  Revise Date: 04 July 2025,  Accept Date: 30 December 2025 
Abstract
In recent years, technological advancements in fields such as Artificial Intelligence (AI), Quantum Computing, Blockchain, and the Internet of Things (IoT) have brought about profound transformations in the logistics industry. However, existing logistics models are unable to adequately address future requirements due to their limited consideration of these emerging technological developments. Furthermore, most previous studies have focused on one-dimensional or case-specific analyses of particular technological trends, lacking a holistic and structured perspective. The aim of this study is to develop a comprehensive and future-oriented conceptual model for future logistics. In this research, a conceptual model is defined as an integrative framework that links major science and technology trends with the functional dimensions of future logistics. To this end, fifteen key science and technology trends were first identified through an analysis of reports published by reputable international institutions, and their potential impacts on the future of logistics were examined. Subsequently, using an analytical–synthetic research synthesis approach, an initial search of the literature identified 426 studies, from which 52 relevant studies published between 2015 and 2025 were selected for in-depth analysis. Through a rigorous process of iterative coding, recoding, and refinement of the extracted data, 140 components (codes) associated with future logistics were identified. In the next stage, the extracted codes were analyzed, integrated, and synthesized into higher-level concepts (categories). Based on conceptual similarities, the identified codes were grouped and consolidated into 46 concepts. Finally, building upon the components and elements of the proposed conceptual model, the study not only examines the individual effects of each science and technology trend but also highlights the interactions and synergies among these trends and their combined impacts on future logistics. The proposed model provides a comprehensive framework that can support strategic planning and decision-making for future logistics in industrial, defense, and governmental organizations.
Keywords
Future Logistics; Science and Technology Trends; Conceptual Model; Research Synthesis; Emerging Technologies; Strategic Logistics Planning
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