Xuanmei Cheng , Anna Min Du , Chengnuo Yan , John W. Goodell
{"title":"Internal business process governance and external regulation: How does AI technology empower financial performance?","authors":"Xuanmei Cheng , Anna Min Du , Chengnuo Yan , John W. Goodell","doi":"10.1016/j.irfa.2025.103927","DOIUrl":null,"url":null,"abstract":"<div><div>We examine the impact of artificial intelligence (AI) technology on the financial performance of financial firms, focusing on the transmission role of business process governance from the perspective of corporate governance. We examine whether there is heterogeneity in the effects of different institutional environments, conducting an empirical analysis of the sample data of 152 Chinese financial firms from 2011 to 2022. AI technology improves financial enterprises' operational quality through risk management, internal governance, and internal control. Moreover, AI provides technical support to enhance service derivative capability by enhancing the number of businesses across cross-regional operations, resource competition, and customer excavation. We also identify that the enabling effect of digital technology on business process governance is affected by imitation pressure from peer firms. In contrast, the impact of government regulatory pressure is not significant.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"99 ","pages":"Article 103927"},"PeriodicalIF":7.5000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521925000146","RegionNum":1,"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
Abstract
We examine the impact of artificial intelligence (AI) technology on the financial performance of financial firms, focusing on the transmission role of business process governance from the perspective of corporate governance. We examine whether there is heterogeneity in the effects of different institutional environments, conducting an empirical analysis of the sample data of 152 Chinese financial firms from 2011 to 2022. AI technology improves financial enterprises' operational quality through risk management, internal governance, and internal control. Moreover, AI provides technical support to enhance service derivative capability by enhancing the number of businesses across cross-regional operations, resource competition, and customer excavation. We also identify that the enabling effect of digital technology on business process governance is affected by imitation pressure from peer firms. In contrast, the impact of government regulatory pressure is not significant.
期刊介绍:
The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.