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Adoption of Industrial IoT (IIoT) in Auto-Component Manufacturing SMEs in India

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  • Brijesh Sivathanu

    (Symbiosis Centre for Information Technology (SCIT), Symbiosis International University (SIU), Pune, India)

Abstract

This article investigates the adoption of Industrial Internet-of-Things (IIoT) in Auto-Component Manufacturing SMEs (ACM SMEs) in the context of a developing country like India by using the Technology-Organization-Environment (TOE) framework. This research surveyed Information & Communication Technology (ICT) officers, managers and owners of 320 ACM SMEs in India using a structured questionnaire to understand the adoption of IIoT. The primary data was analyzed using the PLS-SEM technique. It was found that IIoT expertise, IIoT infrastructure, relative advantage, compatibility, cost, security, organizational readiness, top management support, competitive pressure, and support from technology vendors are factors that affect the adoption of IIoT. This article considered organization size as the control variable. The results show that it does not have a significant effect on the adoption of IIoT. ACM SMEs are one of the important sectors adopting IIoT. This article provides valuable insights to their managers and IIoT vendors. It also suggests key inputs to the government officials involved in the ‘Make in India' initiative of Government of India (GoI) and Ministry of Micro, Small and Medium Enterprises (MSME).

Suggested Citation

  • Brijesh Sivathanu, 2019. "Adoption of Industrial IoT (IIoT) in Auto-Component Manufacturing SMEs in India," Information Resources Management Journal (IRMJ), IGI Global, vol. 32(2), pages 52-75, April.
    • Handle: RePEc:igg:rmj000:v:32:y:2019:i:2:p:52-75
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    Cited by:

    1. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Mirjana Pejić Bach & Amir Topalović & Lejla Turulja, 2023. "Data mining usage in Italian SMEs: an integrated SEM-ANN approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(3), pages 941-973, September.
    3. Hong, Jiangtao & Guo, Pengjie & Deng, Hepu & Quan, Yuting, 2021. "The adoption of supply chain service platforms for organizational performance: Evidences from Chinese catering organizations," International Journal of Production Economics, Elsevier, vol. 237(C).
    4. Ghobakhloo, Morteza & Asadi, Shahla & Iranmanesh, Mohammad & Foroughi, Behzad & Mubarak, Muhammad Faraz & Yadegaridehkordi, Elaheh, 2023. "Intelligent automation implementation and corporate sustainability performance: The enabling role of corporate social responsibility strategy," Technology in Society, Elsevier, vol. 74(C).

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