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Education supply chain in the era of Industry 4.0

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  • Ling Li

Abstract

To date, there is a very limited literature on the use of systems ideas and methodologies as a basis for developing curriculum or courses. To fill the gap, this study has made several contributions by employing systems theory and thinking in analysing issues related to higher education. Industry 4.0 is reshaping the future of education, which opens up our vision and makes us to consider what knowledge and skills students should possess after they have graduated from college, when to accelerate workforce reskilling and what is the building blocks and connections of education supply chain. In this study, it is the first time the concept of ‘education supply chain’ is proposed and coined. Furthermore, our research has led us to view educational systems and configurations, such as international mobility and transnationalization, as outcomes of enduring power related to industrial revolutions. Finally, a curriculum structure based on system thinking is proposed. We engage our inquiry with transformations that are happening around higher education and position our research on the benefits of sharing of global intellectual resource and top talents through transnational mobility and education joint ventures in the context of Industry 4.0.

Suggested Citation

  • Ling Li, 2020. "Education supply chain in the era of Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 579-592, July.
    • Handle: RePEc:bla:srbeha:v:37:y:2020:i:4:p:579-592
    DOI: 10.1002/sres.2702
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    Cited by:

    1. Katarzyna Szum & Joanicjusz Nazarko, 2020. "Exploring the Determinants of Industry 4.0 Development Using an Extended SWOT Analysis: A Regional Study," Energies, MDPI, vol. 13(22), pages 1-27, November.
    2. Li Da Xu, 2020. "Industry 4.0—Frontiers of fourth industrial revolution," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 531-534, July.
    3. Xueling Li & Xiaoyan Zhang & Yuan Liu & Yuanying Mi & Yong Chen, 2022. "The impact of artificial intelligence on users' entrepreneurial activities," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 597-608, May.
    4. Pedota, Mattia & Grilli, Luca & Piscitello, Lucia, 2023. "Technology adoption and upskilling in the wake of Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    5. Sindhwani, Rahul & Afridi, Shayan & Kumar, Anil & Banaitis, Audrius & Luthra, Sunil & Singh, Punj Lata, 2022. "Can industry 5.0 revolutionize the wave of resilience and social value creation? A multi-criteria framework to analyze enablers," Technology in Society, Elsevier, vol. 68(C).
    6. Huishuang Su & Xintong Qu & Shuo Tian & Qiang Ma & Ling Li & Yong Chen, 2022. "Artificial intelligence empowerment: The impact of research and development investment on green radical innovation in high‐tech enterprises," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 489-502, May.
    7. Jianjing Qu & Yanan Zhao & Yongping Xie, 2022. "Artificial intelligence leads the reform of education models," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 581-588, May.
    8. Yazdani, Morteza & Pamucar, Dragan & Erdmann, Anett & Toro-Dupouy, Luis, 2023. "Resilient sustainable investment in digital education technology: A stakeholder-centric decision support model under uncertainty," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

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