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Navigating the Digital Odyssey: AI-Driven Business Models in Industry 4.0

Author

Listed:
  • Feng Ji

    (China University of Mining and Technology)

  • Yonghua Zhou

    (China University of Mining and Technology
    Wuhan Branch)

  • Hongjian Zhang

    (China University of Mining and Technology
    Taizhou College, Nanjing Normal University)

  • Guiqing Cheng

    (China University of Mining and Technology)

  • Qubo Luo

    (China University of Mining and Technology)

Abstract

In the era of Industry 4.0, characterized by the convergence of digital technologies and physical systems, the transformation of business models is paramount for sustainable industrial growth. This research explores the critical role of AI-driven data analytics in shaping digital business models within this dynamic landscape. The study investigates the interplay between technology readiness, innovation potential, automation and control, and privacy and security considerations in the context of Industry 4.0. Our findings reveal that technology readiness serves as a catalyst for innovation potential, emphasizing the importance of a robust technological infrastructure. Moreover, innovation potential plays a substantial mediating role in the linkage between technology readiness and privacy and security dynamics, highlighting the symbiotic relationship between innovation and security in the digital business arena. The study underscores the significance of automation and control in safeguarding privacy and fostering security, emphasizing the need for automated, data-driven approaches in crafting innovative and secure business models. Furthermore, it advocates for a multifaceted approach that fosters synergies between technological advancements and ethical considerations. Policy implications include the promotion of collaboration between industries, academia, and governments to catalyze innovative solutions grounded in feasibility and sustainability. Regulatory frameworks should encourage automation and control measures to protect consumer privacy, and policies must remain adaptable to the fast-paced developments in AI and Industry 4.0. This research illuminates the pivotal role of AI in shaping digital business model innovations in Industry 4.0. It emphasizes the importance of technology readiness, innovation potential, and ethical considerations in creating a dynamic and secure digital business ecosystem. The study envisions a future where digital business model innovations drive growth, efficiency, and resilience in Industry 4.0, shaping a sustainable and progressive industrial sector.

Suggested Citation

  • Feng Ji & Yonghua Zhou & Hongjian Zhang & Guiqing Cheng & Qubo Luo, 2025. "Navigating the Digital Odyssey: AI-Driven Business Models in Industry 4.0," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5714-5757, March.
    • Handle: RePEc:spr:jknowl:v:16:y:2025:i:1:d:10.1007_s13132-024-02096-4
    DOI: 10.1007/s13132-024-02096-4
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