文献类型：期刊文献

英文题名：Exploring artificial intelligence for sustainable business development: a review

作者：Yu, Jintao[1]; Zhan, Ximing[2]; Bojja, Giridhar Reddy[3]

第一作者：Yu, Jintao

机构：[1] Business School, Ningbo University, Zhejiang, Ningbo, 315211, China; [2] Management College, Beijing Union University, Beijing, 100101, China; [3] College of Business, Michigan Technological University, Houghton, MI, 49931, United States

第一机构：Business School, Ningbo University, Zhejiang, Ningbo, 315211, China

通讯机构：[2]Management College, Beijing Union University, Beijing, 100101, China|[1141755]北京联合大学管理学院;[11417]北京联合大学;

年份：2026

卷号：9

期号：2

外文期刊名：Data Science and Management

收录：EI(收录号：20262821095755);Scopus(收录号：2-s2.0-105044412921)

语种：英文

外文关键词：Artificial intelligence - Competition - Competitive intelligence - Engineering education - Reviews - Sustainable development

摘要：Artificial intelligence (AI) has revolutionized business practices and enabled relevant techniques in various sectors to drive efficiency and innovation. This study examines the impact of AI across business sectors by automating tasks, supporting intelligent decisions, and integrating into core operation processes. By examining the evolution of AI technologies and their applications from manufacturing to finance and customer services, this study illustrates AI’s capability to enhance operational efficiencies, innovate business models, and gain competitive advantages. Furthermore, this review addresses the challenges of AI integration, including ethical considerations and workforce implications, and outlines future research directions for addressing these complexities. This analysis charts the transformative impact of AI and frames the scope of its evolution in the business world. ? 2026 Xi’an Jiaotong University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/