The Sustainable Innovation of AI: Text Mining the Core Capabilities of Researchers in the Digital Age of Industry 4.0

Yajun Ji, Shengtai Zhang (), Fang Han, Ran Cui and Tao Jiang
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Yajun Ji: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Shengtai Zhang: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Fang Han: National Science Library, Chinese Academy of Sciences, Beijing 100871, China
Ran Cui: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Tao Jiang: School of Software, Beijing University of Aeronautics, Beijing 100876, China

Sustainability, 2024, vol. 16, issue 17, 1-17

Abstract: Sustainable innovation in the field of artificial intelligence (AI) is essential for the development of Industry 4.0. Recognizing the innovation abilities of researchers is fundamental to achieving sustainable innovation within organizations. This study proposes a method for identifying the core innovative competency field of researchers through text mining, which involves the extraction of core competency tags, topic clustering, and calculating the relevance between researchers and topics. Using AI as a case study, the research identifies the core innovative competency field of researchers, uncovers opportunities for sustainable innovation, and highlights key innovators. This approach offers deeper insights for AI R&D activities, providing effective support for promoting sustainable innovation. Compared to traditional expertise identification methods, this approach provides a more in-depth and detailed portrayal of researchers’ expertise, particularly highlighting potential innovation domains with finer granularity. It is less influenced by subjective factors and can be conveniently applied to identify the core innovative competency field of researchers in any other research field, making it especially suitable for interdisciplinary areas. By offering a precise and comprehensive understanding of researchers’ capability fields, this method enhances the strategic planning and execution of innovative projects, ensuring that organizations can effectively leverage the expertise of their researchers to drive forward sustainable innovation.

Keywords: core innovative competencies; sustainable innovation; text mining (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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