TY - JOUR
T1 - Mapping the Research on Artificial Intelligence and Entrepreneurship
T2 - A Bibliometric Review From Scopus Database
AU - Boateng, Sheena Lovia
AU - Penu, Obed Kwame Adzaku
AU - Budu, Joseph
AU - Boateng, Richard
AU - Marfo, John Serbe
AU - Anning-Dorson, Thomas
AU - Broni, Frederick Edem
N1 - Publisher Copyright:
© 2024 IGI Global. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Bibliometric Review
KW - Entrepreneurship
KW - Future Research Directions
KW - Methodology
KW - Theories
UR - http://www.scopus.com/inward/record.url?scp=85194061881&partnerID=8YFLogxK
U2 - 10.4018/IJEEI.343790
DO - 10.4018/IJEEI.343790
M3 - Article
AN - SCOPUS:85194061881
SN - 1947-8585
VL - 14
SP - 1
EP - 24
JO - International Journal of E-Entrepreneurship and Innovation
JF - International Journal of E-Entrepreneurship and Innovation
IS - 1
ER -