{"title":"Contractual arrangements and information consistency: How ESG executive compensation incentives affect corporate AI disclosure","authors":"Yiqiang Zhou , Lianghua Chen , Fangfang Zhou , Maoran Ye","doi":"10.1016/j.jbusres.2026.116019","DOIUrl":null,"url":null,"abstract":"<div><div>As AI commercialization accelerates, firms are incentivized to engage in “AI washing”—exaggerating AI capabilities to attract capital. We develop an index to measure AI washing, the discrepancy between symbolic AI disclosure and substantive AI investment, and examine the governance effect of ESG-linked executive compensation (ESG compensation). We find that ESG compensation significantly mitigates AI washing, acting as a constraining incentive that curbs symbolic disclosure rather than stimulating substantive investment. The effect is mediated by managerial long-term orientation and employee organizational identification. Additional analyses show that the governance effect of ESG compensation is stronger among firms with higher AI technology dependency, greater media attention, and stronger managerial ability. Moreover, AI washing erodes market value, and firms facing legitimacy loss are more likely to resort to symbolic practices. This study contributes by extending governance theory to the AI context and clarifying the role of ESG compensation in aligning managerial and employee interests.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"207 ","pages":"Article 116019"},"PeriodicalIF":9.8000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0148296326000536","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/31 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
As AI commercialization accelerates, firms are incentivized to engage in “AI washing”—exaggerating AI capabilities to attract capital. We develop an index to measure AI washing, the discrepancy between symbolic AI disclosure and substantive AI investment, and examine the governance effect of ESG-linked executive compensation (ESG compensation). We find that ESG compensation significantly mitigates AI washing, acting as a constraining incentive that curbs symbolic disclosure rather than stimulating substantive investment. The effect is mediated by managerial long-term orientation and employee organizational identification. Additional analyses show that the governance effect of ESG compensation is stronger among firms with higher AI technology dependency, greater media attention, and stronger managerial ability. Moreover, AI washing erodes market value, and firms facing legitimacy loss are more likely to resort to symbolic practices. This study contributes by extending governance theory to the AI context and clarifying the role of ESG compensation in aligning managerial and employee interests.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.