Journal of Economics and Management Sciences https://j.ideasspread.org/index.php/jems <p>Journal of Economics and Management Sciences (JEMS) is an international, double-blind peer-reviewed, open-access journal published by IDEAS SPREAD INC. The journal is published in both print and online versions. The online version is free access and download.<br>The journal focuses on the following topics: Corporate Ggovernance, Human Resource Management, Strategic Management, Entrepreneurship, Marketing, E-business, Services, Information Technology Management, Production &amp; Operations Management, Financial Management, Decision Analysis, Management Research Methods and Managerial Economics, etc.</p> en-US <p>Copyright for this article is retained by the author(s), with first publication rights granted to the journal.<br>This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).</p> jems@ideasspread.org (Jamie Brown) service@ideasspread.org (Technical Support) Mon, 05 May 2025 09:39:59 +0800 OJS 3.1.0.0 http://blogs.law.harvard.edu/tech/rss 60 Reshaping Economic Management Models by Artificial Intelligence https://j.ideasspread.org/index.php/jems/article/view/1093 <p><em>The rapid development</em> of artificial intelligence (AI) technology is profoundly transforming economic management models. This paper explores the applications of AI in economic forecasting, decision optimization, supply chain management, fintech, and human resource management, and analyzes its challenges and reshaping effects on traditional economic management models. The study shows that AI improves the efficiency and accuracy of economic management through big data analysis, machine learning, and automated decision-making, but also brings challenges such as data security, ethical issues, and employment structure adjustments. Combining existing literature and case studies, this paper proposes future development trends of economic management models and suggests that policymakers and business managers actively adapt to the changes brought by AI technology while strengthening regulation and ethical standards.</p> Zi Qi Wan, Hai Yu Xu, Bin Zhou ##submission.copyrightStatement## http://creativecommons.org/licenses/by/4.0 https://j.ideasspread.org/index.php/jems/article/view/1093 Mon, 05 May 2025 00:00:00 +0800