Artificial Intelligence and the Development of “Specialized, Refined, Unique, and Innovative” Small- and Medium-Sized Enterprises

IF 2.7 3区 经济学 Q2 ECONOMICS Managerial and Decision Economics Pub Date : 2024-11-03 DOI:10.1002/mde.4407
Baizhen Zhang, Biyu Peng
{"title":"Artificial Intelligence and the Development of “Specialized, Refined, Unique, and Innovative” Small- and Medium-Sized Enterprises","authors":"Baizhen Zhang,&nbsp;Biyu Peng","doi":"10.1002/mde.4407","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>“Specialized, Refined, Unique, and Innovative” (SRUI) enterprises are a crucial part of the national innovation system and play a significant role in enhancing national core competitiveness by leveraging strengths and addressing weaknesses. Given the limited quantitative analysis on the productivity of SRUI enterprises in the academic field, this paper constructs an enterprise-level artificial intelligence index based on text analysis and machine learning. Using panel data from 2018 to 2022, we investigate the impact of artificial intelligence on the productivity of SRUI small- and medium-sized enterprises (SMEs). The research findings indicate that (1) artificial intelligence significantly enhances the productivity of SRUI SMEs, and for each one standard deviation increase in artificial intelligence, the productivity level of SRUI enterprises will increase by 6.82%. (2) Mechanism tests reveal that artificial intelligence improves productivity by optimizing labor structure, improving labor resource allocation, stimulating endogenous motivation and innovation vitality within enterprises, and enhancing management level and investment efficiency. (3) Heterogeneity analysis indicates that at the regional level, artificial intelligence significantly boosts the productivity of enterprises with well-developed network infrastructure and robust intellectual property protection systems. At the industry level, AI has a more pronounced effect on the productivity of technology-intensive and competitive industries. Additionally, we also find that the impact of AI on productivity is more significant in enterprises with younger executive teams and executives with digital and intelligent education backgrounds. This study expands the research scope of productivity and provides valuable insights for the government to optimize digital economy policies and for enterprises to formulate digital innovation strategies.</p>\n </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 2","pages":"843-861"},"PeriodicalIF":2.7000,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Managerial and Decision Economics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mde.4407","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

“Specialized, Refined, Unique, and Innovative” (SRUI) enterprises are a crucial part of the national innovation system and play a significant role in enhancing national core competitiveness by leveraging strengths and addressing weaknesses. Given the limited quantitative analysis on the productivity of SRUI enterprises in the academic field, this paper constructs an enterprise-level artificial intelligence index based on text analysis and machine learning. Using panel data from 2018 to 2022, we investigate the impact of artificial intelligence on the productivity of SRUI small- and medium-sized enterprises (SMEs). The research findings indicate that (1) artificial intelligence significantly enhances the productivity of SRUI SMEs, and for each one standard deviation increase in artificial intelligence, the productivity level of SRUI enterprises will increase by 6.82%. (2) Mechanism tests reveal that artificial intelligence improves productivity by optimizing labor structure, improving labor resource allocation, stimulating endogenous motivation and innovation vitality within enterprises, and enhancing management level and investment efficiency. (3) Heterogeneity analysis indicates that at the regional level, artificial intelligence significantly boosts the productivity of enterprises with well-developed network infrastructure and robust intellectual property protection systems. At the industry level, AI has a more pronounced effect on the productivity of technology-intensive and competitive industries. Additionally, we also find that the impact of AI on productivity is more significant in enterprises with younger executive teams and executives with digital and intelligent education backgrounds. This study expands the research scope of productivity and provides valuable insights for the government to optimize digital economy policies and for enterprises to formulate digital innovation strategies.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能与“专、精、特、创”中小企业发展
“专、精、特、创”企业是国家创新体系的重要组成部分,在扬长补短提升国家核心竞争力方面发挥着重要作用。鉴于学术界对SRUI企业生产率的定量分析有限,本文构建了基于文本分析和机器学习的企业级人工智能指标。利用2018 - 2022年的面板数据,研究了人工智能对SRUI中小企业生产率的影响。研究结果表明:(1)人工智能显著提高了SRUI中小企业的生产率,人工智能每提高一个标准差,SRUI企业的生产率水平将提高6.82%。(2)机制检验表明,人工智能通过优化劳动力结构、改善劳动力资源配置、激发企业内部内生动力和创新活力、提高管理水平和投资效率等方面提高生产率。(3)异质性分析表明,在区域层面上,人工智能显著提升了网络基础设施完善、知识产权保护制度健全的企业生产率。在行业层面,人工智能对技术密集型和竞争性行业的生产率影响更为明显。此外,我们还发现,人工智能对生产力的影响在拥有较年轻管理团队和具有数字和智能教育背景的高管的企业中更为显著。本研究拓展了生产力的研究范围,为政府优化数字经济政策和企业制定数字创新战略提供了有价值的见解。
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 去求助
来源期刊
CiteScore
1.40
自引率
18.20%
发文量
242
期刊介绍: Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.
期刊最新文献
Issue Information Issue Information Insurance and Industrialisation Nexus in the Gulf of Guinea: The Role of Institutional Strength Manufacturer's Channel Strategy in Live Streaming Commerce: Two Business Models Intellectual Property Protection and Labor Employment—A Quasi-Natural Experiment Based on the Pilot Policy of Intellectual Property Demonstration Cities
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1