The Confluence of AI and Big Data Analytics in Industry 4.0: Fostering Sustainable Strategic Development
Mengze Zheng (),
Te Li and
Jing Ye
Additional contact information
Mengze Zheng: Ningbo University of Finance & Economics
Te Li: Dongbei University of Finance & Economics
Jing Ye: Ningbo University of Finance & Economics
Journal of the Knowledge Economy, 2025, vol. 16, issue 1, No 189, 5479-5515
Abstract:
Abstract In the era of Industry 4.0, the convergence of digitalization, artificial intelligence (AI), and big data analytics (BDA) has revolutionized the industrial landscape. This research paper explores the intricate interplay between AI-assisted BDA and strategic sustainable development (SSD) within the context of Industry 4.0, focusing on Italian manufacturing. The Fourth Industrial Revolution, characterized by the fusion of physical and digital worlds, has ushered in unprecedented advancements in technology and data analytics. AI-assisted BDA emerges as a powerful tool for harnessing vast datasets to drive innovation, efficiency, and sustainability strategies. It facilitates predictive maintenance, waste reduction, and optimal resource utilization. Furthermore, it aligns with circular economy principles by optimizing resource flows and promoting responsible sourcing. However, this digital transformation is not without challenges. Data privacy, security concerns, and the digital divide need addressing. Multidisciplinary approaches involving policymakers, academics, and industry leaders are essential to establish ethical norms and ensure inclusivity. The study’s theoretical implications call for a re-evaluation of the existing frameworks surrounding BDA’s role in sustainable development. It highlights the symbiotic relationship between digitization, BDA, and SSD, emphasizing the mediating role of environmental and social governance (ESG). This research underscores the transformative potential of AI-assisted BDA in Industry 4.0, bridging the gap between sustainability and innovation. It paves the way for a future where technology and environmental stewardship coalesce to foster a greener, more sustainable industrial landscape, redefining industry and sustainability in the digital age.
Keywords: Industry 4.0; AI; Big data analytics; Sustainable development; Environmental conservation; Digital transformation; Strategic sustainable development; Industry 4.0 digitization; Environmental social governance; Sustainability initiatives (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13132-024-02120-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jknowl:v:16:y:2025:i:1:d:10.1007_s13132-024-02120-7
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13132
DOI: 10.1007/s13132-024-02120-7
Access Statistics for this article
Journal of the Knowledge Economy is currently edited by Elias G. Carayannis
More articles in Journal of the Knowledge Economy from Springer, Portland International Center for Management of Engineering and Technology (PICMET)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().