Abstract
Small- and medium-sized enterprises (SMEs) play a critical role as innovation intermediaries(IIs) in supply chains (SCs) by adopting emerging technologies, such as artificial intelligence(AI), which drives smart data-driven decision making. However, there is a paucity of empiricalevidence on the role of intangible organisational capabilities to drive AI adoption withinSMEs that will lead to SC productivity, low carbon management, and resilience. To bridgethis gap in the literature, our research employs perceived organisational support (POS) as thetheoretical lens to develop a theoretical model that is tested by surveying 375 Vietnamesemanagers of manufacturing SMEs. Our findings from structural equation modelling analysisdemonstrate that organisational change capacity will facilitate AI adoption, which will leadto SC productivity, resilience, and low carbon management because of SMEs’ ability to leverage AI for data-driven decision making. Based on POS theory, our research high lights the role of intangible SME resources in implementing sustainable digital SCs’ transformation, an essential strategy for acting as IIs in business ecosystems. Our findings will help SMEs to develop strategies that will enhance skills, competencies, expertise, and organisational creativity conducive to the needs of the human workforce. This will enhance the capacity and capability of SMEs to innovate, manage, and efficiently adapt to change in a technologically turbulent, dynamic, uncertain, and volatile business environment.
| Original language | English |
|---|---|
| Pages (from-to) | 1537-1586 |
| Number of pages | 50 |
| Journal | Annals of Operations Research |
| Volume | 355 |
| Issue number | 2 |
| Early online date | 29 Dec 2023 |
| DOIs | |
| Publication status | Published - 1 Dec 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 13 Climate Action
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