人工智能在商业中的应用:使用文献计量分析的趋势和见解

IF 6 2区 管理学 Q1 BUSINESS
Hiranya Dissanayake , Otilia Manta , Anuradha Iddagoda , Maria Palazzo
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引用次数: 0

摘要

人工智能在当今世界的商业领域发挥着关键作用。为了跟踪研究成果,我们对 1977 年至 2023 年人工智能(AI)在商业中的应用进行了文献计量分析。本研究的主要目的是采用严谨的统计方法,研究发表趋势、有影响力的作者、有影响力的来源、全球贡献以及流行的关键词和主题。在 SCOPUS 数据库中搜索了起始期的人工智能和商业术语,并使用 biblioshiny 和 Vos Viewer 软件进行分析。主要研究结果显示,人工智能在商业出版物中的应用呈上升趋势。主要期刊崭露头角,美国、英国和中国在全球投稿量中遥遥领先。常用关键词包括伦理、机器学习和大数据。主题图谱对主题进行了分类,揭示了发动机主题、利基主题、新兴主题和基本主题。这项分析为研究人员、政策制定者、管理教育工作者和行业从业者提供了一个全面的概览,揭示了人工智能的动态景观及其与商业的交集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI applications in business: Trends and insights using bibliometric analysis
Artificial intelligence in the business plays key role in the current world. To track the research output, we conducted bibliometric analysis on the Artificial Intelligence (AI) applications in business from 1977 to 2023. The main objective of this study is to examine publication trends, influential authors, impactful sources, global contributions, and prevalent keywords, themes employing rigorous statistical methodologies. SCOPUS database was searched with AI and Business term from the starting period and biblioshiny and Vos Viewer software used for the analysis. Key findings reveal a rising trend in AI applications in business publications. Leading journals emerge, and the USA, United Kingdom, and China lead in global contributions. Frequently used keywords encompass ethics, machine learning, and big data. Thematic mapping categorizes themes, unveiling motor, niche, emerging, and basic themes. This analysis provides a comprehensive overview for researchers, policymakers, management educators and industry practitioners, shedding light on the dynamic landscape of AI and its intersection with business.
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来源期刊
CiteScore
10.30
自引率
25.00%
发文量
136
审稿时长
64 days
期刊介绍: The International Journal of Management Education provides a forum for scholarly reporting and discussion of developments in all aspects of teaching and learning in business and management. The Journal seeks reflective papers which bring together pedagogy and theories of management learning; descriptions of innovative teaching which include critical reflection on implementation and outcomes will also be considered.
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