人工智能发展与员工创造力的激发：基于高管财务背景的调节分析

IF 6.9 2区经济学 Q1 BUSINESS, FINANCE

Finance Research Letters Pub Date : 2025-09-18 DOI:10.1016/j.frl.2025.108502

Zhaochen Wang , Xiwen Liang , Yuanyuan Yao , Yanwei Zhao

{"title":"人工智能发展与员工创造力的激发：基于高管财务背景的调节分析","authors":"Zhaochen Wang , Xiwen Liang , Yuanyuan Yao , Yanwei Zhao","doi":"10.1016/j.frl.2025.108502","DOIUrl":null,"url":null,"abstract":"<div><div>Based on panel data of non-financial listed companies in China from 2008 to 2023, this paper employs a fixed effects model to analyze the relationship between artificial intelligence (AI) development and employee creativity. The study finds that AI development significantly stimulates employee creativity, and this conclusion remains robust after changing variable measurement approaches and adding regional fixed effects in robustness checks. Moderation effect analysis reveals that executives’ financial backgrounds significantly moderate the relationship between AI development and employee creativity. Heterogeneity analysis indicates that the moderating effect of executives’ financial backgrounds on the relationship between AI development and employee creativity differs significantly between high-tech and non-high-tech enterprises. The impact of AI development on employee creativity also shows significant differences between high-tech and non-high-tech companies.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"86 ","pages":"Article 108502"},"PeriodicalIF":6.9000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence development and the stimulation of employee creativity: A moderating analysis based on executives’ financial backgrounds\",\"authors\":\"Zhaochen Wang , Xiwen Liang , Yuanyuan Yao , Yanwei Zhao\",\"doi\":\"10.1016/j.frl.2025.108502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Based on panel data of non-financial listed companies in China from 2008 to 2023, this paper employs a fixed effects model to analyze the relationship between artificial intelligence (AI) development and employee creativity. The study finds that AI development significantly stimulates employee creativity, and this conclusion remains robust after changing variable measurement approaches and adding regional fixed effects in robustness checks. Moderation effect analysis reveals that executives’ financial backgrounds significantly moderate the relationship between AI development and employee creativity. Heterogeneity analysis indicates that the moderating effect of executives’ financial backgrounds on the relationship between AI development and employee creativity differs significantly between high-tech and non-high-tech enterprises. The impact of AI development on employee creativity also shows significant differences between high-tech and non-high-tech companies.</div></div>\",\"PeriodicalId\":12167,\"journal\":{\"name\":\"Finance Research Letters\",\"volume\":\"86 \",\"pages\":\"Article 108502\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Finance Research Letters\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1544612325017568\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance Research Letters","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1544612325017568","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}

引用次数: 0

摘要

本文基于2008 - 2023年中国非金融类上市公司面板数据，采用固定效应模型分析人工智能发展与员工创造力之间的关系。研究发现，人工智能的发展显著地激发了员工的创造力，并且在改变变量测量方法并在稳健性检验中加入区域固定效应后，这一结论仍然是稳健性的。调节效应分析显示，高管财务背景显著调节了人工智能开发与员工创造力之间的关系。异质性分析表明，高管财务背景对人工智能开发与员工创造力关系的调节作用在高新技术企业和非高新技术企业之间存在显著差异。人工智能发展对员工创造力的影响在高科技公司和非高科技公司之间也表现出显著差异。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Artificial intelligence development and the stimulation of employee creativity: A moderating analysis based on executives’ financial backgrounds

Based on panel data of non-financial listed companies in China from 2008 to 2023, this paper employs a fixed effects model to analyze the relationship between artificial intelligence (AI) development and employee creativity. The study finds that AI development significantly stimulates employee creativity, and this conclusion remains robust after changing variable measurement approaches and adding regional fixed effects in robustness checks. Moderation effect analysis reveals that executives’ financial backgrounds significantly moderate the relationship between AI development and employee creativity. Heterogeneity analysis indicates that the moderating effect of executives’ financial backgrounds on the relationship between AI development and employee creativity differs significantly between high-tech and non-high-tech enterprises. The impact of AI development on employee creativity also shows significant differences between high-tech and non-high-tech companies.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Finance Research Letters BUSINESS, FINANCE-

CiteScore

11.10

自引率

14.40%

发文量

863

期刊介绍： Finance Research Letters welcomes submissions across all areas of finance, aiming for rapid publication of significant new findings. The journal particularly encourages papers that provide insight into the replicability of established results, examine the cross-national applicability of previous findings, challenge existing methodologies, or demonstrate methodological contingencies. Papers are invited in the following areas: Actuarial studies Alternative investments Asset Pricing Bankruptcy and liquidation Banks and other Depository Institutions Behavioral and experimental finance Bibliometric and Scientometric studies of finance Capital budgeting and corporate investment Capital markets and accounting Capital structure and payout policy Commodities Contagion, crises and interdependence Corporate governance Credit and fixed income markets and instruments Derivatives Emerging markets Energy Finance and Energy Markets Financial Econometrics Financial History Financial intermediation and money markets Financial markets and marketplaces Financial Mathematics and Econophysics Financial Regulation and Law Forecasting Frontier market studies International Finance Market efficiency, event studies Mergers, acquisitions and the market for corporate control Micro Finance Institutions Microstructure Non-bank Financial Institutions Personal Finance Portfolio choice and investing Real estate finance and investing Risk SME, Family and Entrepreneurial Finance