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Adoption of information and digital technologies for sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises (SMMEs)

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  • Yang, Li
  • Zou, Haobo
  • Shang, Chao
  • Ye, Xiaoming
  • Rani, Pratibha

Abstract

An enterprise reference model in a conventional system paradigm guides users when selecting manufacturing elements, configuring the required elements into a manufacturing system, modeling the system options for evaluative processes, and comparing the system solutions with the predefined performance metrics. At present, digital innovation has a close connection with firms' sustainability. Sustainability and digital innovation are two essential components of the circular economy. In this study, an integrated decision-making framework called the q-ROF-MEREC-RS-DNMA is developed. In this approach, the q-ROF-MEREC-RS method is applied to compute the subjective and objective weights of criteria to the adoption of information and digital technologies for sustainable smart manufacturing systems for Industry 4.0 in small, medium, and micro enterprises (SMMEs), and the q-ROF-DNMA model is used to assess the preferences of industries over different criteria to the adoption of information and digital technologies for sustainable smart manufacturing systems for Industry 4.0 in SMMEs. An empirical case study to evaluate the main criteria for the adoption of information and digital technologies for sustainable smart manufacturing systems for Industry 4.0 in small, medium, and micro enterprises (SMMEs) is taken. Also, comparison and sensitivity investigation are made to show the superiority of the developed framework.

Suggested Citation

  • Yang, Li & Zou, Haobo & Shang, Chao & Ye, Xiaoming & Rani, Pratibha, 2023. "Adoption of information and digital technologies for sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises (SMMEs)," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:tefoso:v:188:y:2023:i:c:s0040162522008290
    DOI: 10.1016/j.techfore.2022.122308
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    2. Truant, Elisa & Giordino, Daniele & Borlatto, Edoardo & Bhatia, Meena, 2024. "Drivers and barriers of smart technologies for circular economy: Leveraging smart circular economy implementation to nurture companies' performance," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Chaudhuri, Ranjan & Chatterjee, Sheshadri & Mariani, Marcello M. & Wamba, Samuel Fosso, 2024. "Assessing the influence of emerging technologies on organizational data driven culture and innovation capabilities: A sustainability performance perspective," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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