Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Shetty, Lakshmi; Srivastava, Shefali; Dwivedi, Ashish; Dubey, Suchi; Wadehra, Siddharth Title A name given to the resource The Interaction of Generative Artificial Intelligence with Computational Intelligence on the Knowledge Economy: A Text Mining Approach Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2025;pp.699-704 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCIKE67021.2025.11318264" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCIKE67021.2025.11318264</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032692580?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032692580?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shetty L., Symbiosis International (Deemed University), Symbiosis Centre for Management Studies, Bengaluru, Pune, India; Srivastava S., Christ University, Department of Professional Studies, Bangalore, India; Dwivedi A., Jindal Global Business School, Op Jindal Global University, India; Dubey S., Symbiosis International University Dubai, Symbiosis International (Deemed) University, Pune, India; Wadehra S., India Institute of Management, Ranchi, India Description An account of the resource The study presents the first large-scale bibliometric evaluation on how the generative artificial intelligence (GenAI) and computational intelligence will impact the knowledge economy research during the year 2015 to 2025. Based on 228 articles indexed in Scopus, the study incorporated the use of the trend of keywords, multiple correspondence analysis and citation network visualization to determine the central thematic clusters and their trends in development. The findings revealed a notable growth of publications since 2020 due to the development of language-centered technologies such as large language models (LLMs), natural language processing (NLP) and generative adversarial networks (GANs), which have become the center of the intellectual cluster. Despite the diversity of research issues, only an estimated 9% of studies explicitly evaluate the role of GenAI in determining the consequences of the macroeconomic knowledge economy, which leaves a significant disparity between the pace of technological development and the overall effects of technology on the economy. This study provides a scholarly, practical oriented recommendation to use the power of GenAI to accelerate digital transformation and ensure equitable economic and social benefits. 2025 IEEE. Subject The topic of the resource computational intelligence; Generative Artificial Intelligence; knowledge economy and text mining Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833156247-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online