{"title":"The Confluence of AI and Big Data Analytics in Industry 4.0: Fostering Sustainable Strategic Development","authors":"Mengze Zheng, Te Li, Jing Ye","doi":"10.1007/s13132-024-02120-7","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"193 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Knowledge Economy","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s13132-024-02120-7","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
In the context of rapid globalization and technological capacity, the world’s economies today are driven increasingly by knowledge—the expertise, skills, experience, education, understanding, awareness, perception, and other qualities required to communicate, interpret, and analyze information. New wealth is created by the application of knowledge to improve productivity—and to create new products, services, systems, and process (i.e., to innovate). The Journal of the Knowledge Economy focuses on the dynamics of the knowledge-based economy, with an emphasis on the role of knowledge creation, diffusion, and application across three economic levels: (1) the systemic ''meta'' or ''macro''-level, (2) the organizational ''meso''-level, and (3) the individual ''micro''-level. The journal incorporates insights from the fields of economics, management, law, sociology, anthropology, psychology, and political science to shed new light on the evolving role of knowledge, with a particular emphasis on how innovation can be leveraged to provide solutions to complex problems and issues, including global crises in environmental sustainability, education, and economic development. Articles emphasize empirical studies, underscoring a comparative approach, and, to a lesser extent, case studies and theoretical articles. The journal balances practice/application and theory/concepts.
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