Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises
Open accessAbstract
Despite the exponential growth of artificial intelligence (AI) research in operations, supply chain, and productions management literature, empirical insights on how organisational behavioural mechanisms at the human–technology interface will facilitate AI adoption in small- and medium-sized enterprises (SMEs), and subsequent impact of the adoption on sustainable practices and supply chain resilience (SCR) is under-researched. To bridge these gaps, we integrate resource orchestration and knowledge-based view theoretical perspectives to develop a novel structural model examining antecedents to SCR and AI adoption, considering AI adoption as a pivot for facilitating SCR. The structural equation modelling technique was employed on the data collected from 280 Vietnamese manufacturing SMEs’ operations managers. Our results demonstrate that leadership will drive AI adoption by creating a data-driven, digital and conducive culture, and strengthening employee skills and competencies. Furthermore, AI adoption positively influences CE practices, SC agility and risk management, which will help to achieve SCR. For managers, the importance of internal organisational employee-centric mechanisms to create value from AI adoption without impeding business value is highlighted. We reveal the enablers that will help in transforming SMEs to become resilient by deriving appropriate responses to unprecedented disruptions through data-driven decision-making leveraging AI adoption.
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Generative AI facilitates developing decision support systems (DSS) that are essential to transform the organisational value chain at strategic, planning, and operational levels through various sustainability practices.
“Specifically, it facilitates developing the decision support system (DSS) that are essential to transform organisational value chain at strategic, planning, and operational levels through various sustainability practices (Dey et al., 2023).”
From Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT (2023) · cites this paper as Dey et al., 2023
Cites
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BackgroundSample size determination and power analysis using the G*Power software
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Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Boselie, P., Lee Cooke, F., Decker, S., DeNisi, A., et al. (2023) · Human Resource Management Journal · doi:10.1111/1748-8583.12524 · Cited by 908 · see citing works
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Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach
Peretz-Andersson, E., Tabares, S., Mikalef, P., & Parida, V. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102781 · Cited by 218 · see citing works
- Authors
- Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S.
- Affiliations
- Aston University (GB)
- TBS Education (FR)
- TBS Business School
- University of Huddersfield
- Indian Institute of Management Ranchi (IN)
- Corresponding author
- Dey, Prasanta Kumar
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2023-03-23
- Volume
- 62
- Issue
- 15
- Pages
- 5417-5456
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W4360882499
- Cited by
- 330
- References
- 17
- Citations by year
- 2026: 136 · 2025: 128 · 2024: 56 · 2023: 10
- FWCI
- 60.84
- Type
- journal article
- Language
- en
- Open access
- green
- pure.hud.ac.uk
- Licence
- cc-by-nc
- Locations
- International Journal of Production Research (publishedVersion)
- Huddersfield Research Portal (University of Huddersfield) (acceptedVersion, cc-by-nc)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- British Council
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Business, Management and Accounting › Strategy and Management › Supply Chain Resilience and Risk Management
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Keywords
- artificial intelligence adoption, supply chain resilience, small and medium-sized enterprises, manufacturing SMEs, leadership, resource orchestration, knowledge-based view, circular economy practices, supply chain agility, risk management, employee skills, data-driven decision making, human-technology interface, Vietnamese manufacturing
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