Mapping the Research on Artificial Intelligence and Entrepreneurship

Q1 Social Sciences
S. Boateng, O. Penu, Joseph Budu, Richard Boateng, J. Marfo, T. Anning-Dorson, F. Broni
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引用次数: 0

Abstract

Despite the increasing popularity and research focus on the application of artificial intelligence (AI) in entrepreneurship, no comprehensive bibliometric analysis of relevant papers has been conducted. Our review examines 127 Scopus-indexed publications from 2007 to October 2023. The inquiry explores thematic progression, geographical production trends, and seminal works shaping the discourse. Notably, while authors from Asia, mainly China, lead in publication volume, influential works from the USA, the UK, and Australia attract significant scholarly attention. The analysis reveals a prominent trend: highly cited papers often lack theoretical frameworks, with literature reviews and conceptual analyses prevailing over empirical investigations. When theoretical foundations are present, diverse theories are often amalgamated. In conclusion, our review highlights numerous avenues for future academic exploration in this domain. Pragmatically, our effort, the first of its kind, consolidates fragmented insights, providing a cohesive understanding of AI's pivotal role in entrepreneurship.
人工智能与创业研究图谱
尽管人工智能(AI)在创业中的应用越来越受欢迎,研究重点也越来越集中,但尚未对相关论文进行全面的文献计量分析。我们对 2007 年至 2023 年 10 月期间的 127 篇 Scopus 索引出版物进行了审查。调查探讨了主题进展、地域生产趋势以及影响论述的开创性作品。值得注意的是,虽然来自亚洲(主要是中国)的作者在论文发表量上遥遥领先,但来自美国、英国和澳大利亚的有影响力的作品也吸引了大量学者的关注。分析揭示了一个突出的趋势:高被引论文往往缺乏理论框架,文献综述和概念分析多于实证研究。在有理论基础的情况下,不同的理论往往被混为一谈。总之,我们的综述强调了该领域未来学术探索的众多途径。实事求是地说,我们的努力是同类研究中的首创,它整合了零散的见解,提供了对人工智能在创业中的关键作用的连贯理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
11
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