The internet of things in supply chain management: past, present, and future – a systematic literature review and implementation framework
Abstract
The Internet of Things (IoT) was initially adopted to enhance efficiency and inform decision-making in supply chains (SC), but it is now increasingly utilised as a strategic tool to transform them. No prior study has systematically reviewed the past, present, and future of IoT in the SC context, especially amid the rise of advanced technologies like Generative Artificial Intelligence (GenAI). This study conducts a bibliometric analysis of 572 articles and a systematic literature review of 196 IoT studies published in the SC context between 2009 and 2025 (as of March). It applies descriptive, topic, and thematic analyses. This study develops the Theories, Context, Methods – Antecedents, Implementation, Outcomes – Emerging themes (TCM-AIO-E) framework. It tracks the ‘past’ and evolution of IoT applications on SC with several methods, like topic evolution analysis. The TCM-AIO-E framework guides scholars and practitioners with ‘present’ adoption and implementation mechanisms for transportation, warehouse, procurement, and resource management, focusing on decision-making, visibility, traceability, and agility. It reveals ‘future’ opportunities, significant barriers, and research gaps in the transformative role of IoT. The study proposes research questions to guide future research and help companies transition from IoT automation to autonomous and autodidact supply chains and production systems.
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Role of Technology (AI, IoT, Blockchain) in Supply Chain Sourcing
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Self-citation
- Authors
- Vlachos, I., & Graham, G.
- Affiliations
- Excelia Business School (FR)
- Liverpool John Moores University (GB)
- Corresponding author
- Vlachos, Ilias
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2025-09-15
- Volume
- 63
- Issue
- 24
- Pages
- 10555-10585
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W4414191861
- Cited by
- 12
- References
- 145
- Citations by year
- 2026: 9 · 2025: 3
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Research (publishedVersion)
- Liverpool John Moores University (acceptedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Supply Chain Traceability
- Keywords
- Internet of Things, supply chain management, IoT adoption, generative AI, supply chain traceability, supply chain visibility, supply chain agility, implementation barriers, transportation, warehouse management, procurement, resource management, decision-making
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