Transforming banking: Examining the role of AI technology innovation in boosting banks financial performance

IF 7.5 1区 经济学 Q1 BUSINESS, FINANCE International Review of Financial Analysis Pub Date : 2024-11-01 DOI:10.1016/j.irfa.2024.103700
Emmanuel Baffour Gyau , Michael Appiah , Bright Akwasi Gyamfi , Theodoria Achie , Muhammad Abubakr Naeem
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Abstract

With the ongoing advancement of technology, artificial intelligence is increasingly being integrated into banking and finance, with the transformative potential to reshape the financial performance of economies worldwide. This research investigates the dynamic relationship between banking and finance artificial intelligence technology innovation and banks' financial performance across 20 countries using the feasible generalized least squares and the generalized method of moments techniques. The results show that banking and finance artificial intelligence technology innovation positively impacts banks' return on assets, highlighting its role in enhancing financial performance. The interaction term between artificial intelligence innovation and economic growth emphasizes their collaborative positive impact on financial performance. Mediation analysis highlights information and communication technology development's role in transforming artificial intelligence innovation into improved financial outcomes. Considering lagged effects, initial innovation surges correlate with improved financial performance, but prolonged exposure leads to diminishing returns. Moreover, the findings indicate that non-performing loans negatively affect financial performance, underscoring the importance of asset quality. Additionally, regulatory capital and economic growth are positively associated with financial performance, while government regulations exhibit a negative impact. This study highlights the essential role of artificial intelligence technology innovation in banking and finance, emphasizing the need to consider economic and technological factors for maximizing its benefits in enhancing financial performance. Policy recommendations include promoting an artificial intelligence innovation ecosystem, adapting regulatory frameworks, and investing in information and communication technology infrastructure to harness artificial intelligence innovation's benefits while addressing associated challenges.
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变革银行业:研究人工智能技术创新在提升银行财务业绩方面的作用
随着技术的不断进步,人工智能正日益融入银行业和金融业,并具有重塑全球经济金融表现的变革潜力。本研究采用可行广义最小二乘法和广义矩法技术,研究了 20 个国家的银行和金融人工智能技术创新与银行财务绩效之间的动态关系。结果表明,银行与金融人工智能技术创新对银行的资产回报率产生了积极影响,凸显了其在提升财务绩效方面的作用。人工智能创新与经济增长之间的交互项强调了它们对财务绩效的协同积极影响。中介分析强调了信息和通信技术的发展在将人工智能创新转化为改善财务业绩方面的作用。考虑到滞后效应,最初的创新激增与财务业绩的改善相关,但长期接触会导致收益递减。此外,研究结果表明,不良贷款会对财务业绩产生负面影响,这凸显了资产质量的重要性。此外,监管资本和经济增长与财务业绩呈正相关,而政府监管则表现出负面影响。本研究强调了人工智能技术创新在银行业和金融业中的重要作用,强调需要考虑经济和技术因素,以最大限度地发挥其在提高金融绩效方面的优势。政策建议包括促进人工智能创新生态系统、调整监管框架、投资信息和通信技术基础设施,以利用人工智能创新的益处,同时应对相关挑战。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
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.
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