Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective

Abstract

Artificial intelligence (AI) has been adopted in entrepreneurial practices and generates huge economic benefits. It creates a number of digital start‐ups and changes the way in which entrepreneurial research and practice interact. Existing studies on the cross‐field of AI and entrepreneurial management are scattered. Accordingly, this paper conducts a comprehensive and systematic review of existing studies on AI in entrepreneurial management by applying VOSviewer, a knowledge graph tool, based on the data obtained from the Web of Science. The study standardizes and analyses prominent research topics, interprets research hotspots and points out directions for further research.

Navigating the Complexity of Entrepreneurial Ethics: A Systematic Review and Future Research Agenda

“…Entrepreneurs may engage in ethically dubious behaviors to gain legitimacy for their nascent enterprises, which creates a trust conflict between the entrepreneur and the stakeholders. Li et al [58] introduced the notion of the "legitimacy lie" and established acceptable ethical boundaries for entrepreneurs to pursue legitimacy through ethical frameworks based on utilitarianism and deontology. During the financing process, entrepreneurs may lie to investors to increase their chances of obtaining resources.…”

“…Analyzing the societal and environmental attributes of entrepreneurial opportunities is a critical research direction for entrepreneurial ethics [7,8]. Prior research has primarily focused on economic attributes while disregarding non-economic attributes, such as the natural environment, in identifying, evaluating, and developing entrepreneurial opportunities [6,58,87]. In response to this gap, the Journal of Management Studies issued a call for entrepreneurs to consider economic, social, and environmental benefits in entrepreneurial decision making, as reflected in their Special Issue titled "Sustainability, Ethics, and Entrepreneurship" in 2016 [40].…”

Mapping the Research on Artificial Intelligence and Entrepreneurship

“…While AI has long been studied within entrepreneurship (Obschonka & Audretsch, 2020), there is no study that quantitatively examines the intellectual structure of the area to elucidate how it has evolved. To the best of our knowledge, the only bibliometric review on the subject focused on presenting a drill-down of AI in entrepreneurial management with a concentration on start-ups (Li et al, 2022). In addition, the authors focused on the web of science (WoS) database, which has relatively fewer scholarly publications than Scopus.…”

“…Li et al (2022) admitted that the results of their review are limited by their choice of keywords and coverage of the WoS database. Moreover, beyond the quantitative representation of the trajectory of publications, citations, and knowledge structure in the existing work of Li et al (2022), there is a missing link concerning the methodological and theoretical focus of studies that have been conducted on the subject. This is something we sought to shed light on in this study.…”

Systems research on artificial intelligence

“…AI is not just a technological topic; it is a systems research topic. In this special issue, three survey papers provide an overview of the current development of AI (Jiang et al, 2022; Li, Long, et al, 2022; Li, Ye, & Zhang, 2022). The mission of the national AI policy is to ensure leadership in AI research and development and prepare for the integration of AI systems across all sectors of the economy and society.…”