A Systematic Literature Review on the Role of Artificial Intelligence in Entrepreneurial Activity

IF 4.1 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal on Semantic Web and Information Systems Pub Date : 2023-02-16 DOI:10.4018/ijswis.318448

Cristina Blanco-González-Tejero, B. Ribeiro-Navarrete, Enrique Cano-Marin, William C. McDowell

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引用次数: 3

Abstract

New models of entrepreneurship are emerging because of increasing digitalization and the development of artificial intelligence (AI). There is a lack of existing research on the intersection between digitalization and entrepreneurship. Therefore, this systematic literature analysis aims to expand knowledge in this area and provide a semantic analysis of existing contributions. Following the SPAR-4-SLR protocol, it analyzes 520 scientific articles from the Dimensions.ai database up to July 2022. The methodology uses natural language processing (NLP) and tools such as bibliometrix and VosViewer, which reveal the main characteristics of the titles and texts of the abstracts and their links with the numbers of citations and with scientific impact. This study provides guidelines and clear recommendations for scientists to focus their scientific research on AI and entrepreneurship and entrepreneurs by including the link between AI and entrepreneurship in their strategies. As future lines of research, the authors highlight the potential of using NLP in bibliometric analysis.

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人工智能在创业活动中的作用的系统文献综述

随着数字化程度的提高和人工智能的发展，新的创业模式正在出现。关于数字化与创业之间的交集，现有研究缺乏。因此，本系统的文献分析旨在扩展这一领域的知识，并对现有的贡献进行语义分析。根据SPAR-4-SLR协议，它分析了来自维度的520篇科学文章。ai数据库截止到2022年7月。该方法使用自然语言处理(NLP)和工具，如bibliometrix和VosViewer，这些工具揭示了摘要标题和文本的主要特征，以及它们与引用次数和科学影响的联系。本研究通过将人工智能与创业之间的联系纳入其战略，为科学家将其科学研究重点放在人工智能与创业和企业家身上提供了指导和明确的建议。作为未来的研究方向，作者强调了在文献计量学分析中使用NLP的潜力。

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

International Journal on Semantic Web and Information Systems 工程技术-计算机：人工智能

CiteScore

6.20

自引率

12.50%

发文量

审稿时长

20 months

期刊介绍： The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.