Bridging the gap: Empowering manufacturing and production small medium enterprises through industrial Internet of Things adoption model

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.

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Publication Details

Journal
IET Collaborative Intelligent Manufacturing
Published
2025-01-01
DOI
https://doi.org/10.1049/cim2.70021
Citations
3
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
3.73
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article

Bridging the gap: Empowering manufacturing and production small medium enterprises through industrial Internet of Things adoption model

Shahrir Hashim, Hafiz Muhammad Faisal Shehzad, Syed Hamid Hussain Madni, Muhammad Faheem et al.
3 citations
IET Collaborative Intelligent Manufacturing
Digital Transformation in Industry
3.73
article

Bridging the gap: Empowering manufacturing and production small medium enterprises through industrial Internet of Things adoption model

Shahrir Hashim, Hafiz Muhammad Faisal Shehzad, Syed Hamid Hussain Madni, Muhammad Faheem, Sajid Shah
article en
3 citations

Abstract

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.

IET Collaborative Intelligent ManufacturingVol. 7(1)
University of Sargodha (PK), University of Southampton Malaysia (MY), University of Technology Malaysia (MY), University of Vaasa (FI), VTT Technical Research Centre of Finland (FI)
Openalex Percentile: Top 7%
Digital Transformation in Industry
3.73
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