December 2024
Intermediate to advanced
336 pages
8h 46m
English
book
Computational Intelligence for Autonomous Finance
by Deepak Gupta, Mukul Gupta, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Parth M. Gupta
Content preview from Computational Intelligence for Autonomous Finance
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4Involvement of Artificial Intelligence in Emerging Fintech Industry 4.0: A TCCM Framework
Annu* and Ravindra Tripathi
Department of Humanities and Social Sciences, Motilal Nehru National Institute of
Technology Allahabad, Prayagraj, India
Abstract
Purpose: This study aims to map the global connectivity and emerging trends related to Fintech and artificial intelligence to determine India’s position and obtain answers regarding technology enhancements. Moreover, AI plays an essential role in shaping the Fintech industry’s design, as well as manifesting the areas of document publication, authors, papers, and institutional network collaboration.
Methodology: By employing the “Biblioshiny” component of the “R” package, a bibliometric study has been carried out. To gather the data, highly indexed databases were used. The trustworthy indexing of Scopus and the Web of Science serve as data sources. Available adequate articles of high quality indexed journals make reliability to collect data from these resources, that’s why these are selected. The data spans from 2014 to 2022, and there are 364 papers.
Findings: The findings show that the rising phase of Fintech began in 2017, with two turning points for its robustness occurring in 2019 and 2021. Despite this, it is still growing. China has dominated both multi-country and single-country Fintech publishing production. Since the beginning of 2017, sources have increased, and various sources are involved in publishing papers in this ...
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