Empowering SMEs “Harnessing the Potential of Gen AI for Resilience and Competitiveness”

IF 4.6 3区 管理学 Q1 BUSINESS
Elias G. Carayannis;Roman Dumitrescu;Tommy Falkowski;Nikos-Rigert Zota
{"title":"Empowering SMEs “Harnessing the Potential of Gen AI for Resilience and Competitiveness”","authors":"Elias G. Carayannis;Roman Dumitrescu;Tommy Falkowski;Nikos-Rigert Zota","doi":"10.1109/TEM.2024.3456820","DOIUrl":null,"url":null,"abstract":"This study investigates how generative artificial intelligence (Gen AI) can enhance the resilience and competitiveness of small and medium enterprises (SMEs). The central question addressed is: How can SMEs leverage Gen AI to navigate challenges and capitalize on opportunities in an evolving digital landscape? We argue that Gen AI offers transformative potential for SMEs by automating processes, enhancing decision-making and fostering innovation, thereby improving their ability to adapt and thrive amidst market uncertainties. Through a comprehensive analysis of SMEs and Gen AI, this article underscores the importance of strategic AI integration, addresses the associated challenges, and provides policy recommendations to support SMEs in harnessing AI for sustainable growth. By exploring real-world examples and theoretical insights, we aim to equip SMEs with the directions, actions, and strategies necessary to succeed in the Gen AI era.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14754-14774"},"PeriodicalIF":4.6000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Engineering Management","FirstCategoryId":"91","ListUrlMain":"https://ieeexplore.ieee.org/document/10670531/","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

This study investigates how generative artificial intelligence (Gen AI) can enhance the resilience and competitiveness of small and medium enterprises (SMEs). The central question addressed is: How can SMEs leverage Gen AI to navigate challenges and capitalize on opportunities in an evolving digital landscape? We argue that Gen AI offers transformative potential for SMEs by automating processes, enhancing decision-making and fostering innovation, thereby improving their ability to adapt and thrive amidst market uncertainties. Through a comprehensive analysis of SMEs and Gen AI, this article underscores the importance of strategic AI integration, addresses the associated challenges, and provides policy recommendations to support SMEs in harnessing AI for sustainable growth. By exploring real-world examples and theoretical insights, we aim to equip SMEs with the directions, actions, and strategies necessary to succeed in the Gen AI era.
增强中小型企业的能力 "利用新一代人工智能的潜力提高复原力和竞争力"
本研究探讨了生成式人工智能(Gen AI)如何增强中小企业(SMEs)的应变能力和竞争力。研究的核心问题是:在不断发展的数字环境中,中小企业如何利用创人工智能来应对挑战并抓住机遇?我们认为,新一代人工智能通过实现流程自动化、加强决策和促进创新,为中小企业提供了变革潜力,从而提高了它们在市场不确定性中适应和发展的能力。本文通过对中小企业和新一代人工智能的全面分析,强调了人工智能战略整合的重要性,探讨了相关挑战,并提出了支持中小企业利用人工智能实现可持续增长的政策建议。通过探讨现实世界的实例和理论见解,我们旨在为中小企业提供在创人工智能时代取得成功所需的方向、行动和战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信