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Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions

Yogesh Dwivedi Orcid Logo, Anuj Sharma, Nripendra P. Rana, Mihalis Giannakis, Pooja Goel, Vincent Dutot

Technological Forecasting and Social Change, Volume: 192, Start page: 122579

Swansea University Author: Yogesh Dwivedi Orcid Logo

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DOI (Published version): 10.1016/j.techfore.2023.122579

Abstract

Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With the proliferation of digital computing devices and the emergence of big data, AI is increasingly offering...

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Published in: Technological Forecasting and Social Change
ISSN: 0040-1625
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa63151
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spelling v2 63151 2023-04-15 Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2023-04-15 BBU Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With the proliferation of digital computing devices and the emergence of big data, AI is increasingly offering significant opportunities for society and business organizations. The growing interest of scholars and practitioners in AI has resulted in the diversity of research topics explored in bulks of scholarly literature published in leading research outlets. This study aims to map the intellectual structure and evolution of the conceptual structure of overall AI research published in Technological Forecasting and Social Change (TF&SC). This study uses machine learning-based structural topic modeling (STM) to extract, report, and visualize the latent topics from the AI research literature. Further, the disciplinary patterns in the intellectual structure of AI research are examined with the additional objective of assessing the disciplinary impact of AI. The results of the topic modeling reveal eight key topics, out of which the topics concerning healthcare, circular economy and sustainable supply chain, adoption of AI by consumers, and AI for decision-making are showing a rising trend over the years. AI research has a significant influence on disciplines such as business, management, and accounting, social science, engineering, computer science, and mathematics. The study provides an insightful agenda for the future based on evidence-based research directions that would benefit future AI scholars to identify contemporary research issues and develop impactful research to solve complex societal problems. Journal Article Technological Forecasting and Social Change 192 122579 Elsevier BV 0040-1625 Artificial intelligence, AI, Big data analytics, Machine learning, Topic modeling, Structural topic modeling, Research agenda 1 7 2023 2023-07-01 10.1016/j.techfore.2023.122579 http://dx.doi.org/10.1016/j.techfore.2023.122579 COLLEGE NANME Business COLLEGE CODE BBU Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2023-06-23T14:55:05.8251935 2023-04-15T13:05:13.8869485 Faculty of Humanities and Social Sciences School of Management - Business Management Yogesh Dwivedi 0000-0002-5547-9990 1 Anuj Sharma 2 Nripendra P. Rana 3 Mihalis Giannakis 4 Pooja Goel 5 Vincent Dutot 6 63151__27204__60fbf1974b994289a7a727093307dc8a.pdf 63151.VOR.pdf 2023-04-26T07:35:57.0252462 Output 3445945 application/pdf Version of Record true This is an open access article under the Creative Commons CC BY-NC-ND licence. true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
spellingShingle Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
Yogesh Dwivedi
title_short Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
title_full Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
title_fullStr Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
title_full_unstemmed Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
title_sort Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Yogesh Dwivedi
author2 Yogesh Dwivedi
Anuj Sharma
Nripendra P. Rana
Mihalis Giannakis
Pooja Goel
Vincent Dutot
format Journal article
container_title Technological Forecasting and Social Change
container_volume 192
container_start_page 122579
publishDate 2023
institution Swansea University
issn 0040-1625
doi_str_mv 10.1016/j.techfore.2023.122579
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
url http://dx.doi.org/10.1016/j.techfore.2023.122579
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description Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With the proliferation of digital computing devices and the emergence of big data, AI is increasingly offering significant opportunities for society and business organizations. The growing interest of scholars and practitioners in AI has resulted in the diversity of research topics explored in bulks of scholarly literature published in leading research outlets. This study aims to map the intellectual structure and evolution of the conceptual structure of overall AI research published in Technological Forecasting and Social Change (TF&SC). This study uses machine learning-based structural topic modeling (STM) to extract, report, and visualize the latent topics from the AI research literature. Further, the disciplinary patterns in the intellectual structure of AI research are examined with the additional objective of assessing the disciplinary impact of AI. The results of the topic modeling reveal eight key topics, out of which the topics concerning healthcare, circular economy and sustainable supply chain, adoption of AI by consumers, and AI for decision-making are showing a rising trend over the years. AI research has a significant influence on disciplines such as business, management, and accounting, social science, engineering, computer science, and mathematics. The study provides an insightful agenda for the future based on evidence-based research directions that would benefit future AI scholars to identify contemporary research issues and develop impactful research to solve complex societal problems.
published_date 2023-07-01T14:55:00Z
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