Abstract
The industrial Internet of Things (IIoT) is revolutionising manufacturing and production of small and medium enterprises (SMEs) by enhancing efficiency and product quality. While developed countries like the USA, UK, Canada, Finland, and Japan have widely adopted IIoT, developing nations such as Bangladesh, India, Pakistan, and Malaysia are still lagging. This study explores IIoT adoption in manufacturing SMEs, emphasising its potential for economic growth despite challenges like budget constraints and skill gaps in developing countries. It presents a novel model based on 17 factors from the TOEI (Technology, Organization, Environment, and Individual) framework to support decision-makers in integrating IIoT technologies. The model’s reliability and validity are confirmed through rigorous testing and a survey of three SMEs. This proposed model serves as a roadmap for SMEs, breaking down complex processes into manageable steps, and providing SMEs with a structured approach.
| Original language | English |
|---|---|
| Article number | e70021 |
| Journal | IET Collaborative Intelligent Manufacturing |
| Volume | 7 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2025 |
| MoE publication type | A1 Journal article-refereed |
Funding
The authors are thankful to Saudi Electronic University, University of Southampton Malaysia (UoSM) and Universiti Teknologi Malaysia (UTM) for supporting this research through RUG grant No IFRS8253. The research of M. Faheem is funded by VTT Technical Research Center of Finland.
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
Keywords
- computer integrated manufacturing
- Internet of things
- m2m communication
- product customisation
- small medium enterprises
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