The Banking Economic Value Model Based on the Perspectives of Investment, Credit, Service Quality, and Digital Banking with the Moderating Role of Bank Digitalization Level: A Systematic Literature Review
The rapid development of technology, particularly in the application of artificial intelligence (AI) in the banking sector, has attracted the attention of many researchers. The implementation of AI in various operational aspects of banking, such as investment, AI usage in credit, service quality, and bank digitalization, is expected to enhance the economic value of banks. This study aims to analyze the relationship between AI usage in the banking sector and its impact on the economic value of banks using a qualitative approach. This research analyzes 85 literatures related to these variables, obtained from journals indexed in ScienceDirect, Emerald, Google Scholar, and indexed in Scopus Q5 to Q2 and Copernicus. The research model focuses on literature analysis to identify the contribution of variables involving AI in enhancing the economic value of banking. The findings show that investment in AI, AI usage in credit, AI-based service quality, and the level of bank digitalization significantly contribute to the improvement of bank economic performance. The impact on theory indicates that AI and banking digitalization strengthen a new paradigm in enhancing the competitiveness and operational efficiency of banks. This study provides important insights for the development of a banking economic value model in the digital era while opening opportunities for further research on other factors that may influence the economic performance of banks.
- Abdurrahman, A. (2024). Investigating the impact of digital business ecosystem in enhancing Islamic mobile banking adoption through the TOE framework. Digital Business, 4(2), 100096. https://doi.org/10.1016/j.digbus.2024.100096
- Al-Araj, R., Haddad, H., Shehadeh, M., Hasan, E., & Nawaiseh, M. Y. (2022). The Effect of Artificial Intelligence on Service Quality and Customer Satisfaction in Jordanian Banking Sector. WSEAS Transactions on Business and Economics, 19, 1929–1947. https://doi.org/10.37394/23207.2022.19.173
- Aliyu Dantsoho, M., Jinjiri Ringim, K., & Maitama Kura, K. (2021). The Relationship between Artificial Intelligence (AI) Quality, Customer Preference, Satisfaction and Continuous Usage Intention of e-Banking Services. Indonesian Business Review, 4(1), 24–43. https://doi.org/10.21632/ibr.4.1.24-43
- Amiri, M., Hashemi-Tabatabaei, M., Keshavarz-Ghorabaee, M., Antucheviciene, J., Šaparauskas, J., & Keramatpanah, M. (2023). Evaluation of Digital Banking Implementation Indicators and Models in the Context of Industry 4.0: A Fuzzy Group MCDM Approach. Axioms, 12(6). https://doi.org/10.3390/axioms12060516
- Anaya, L., Braizat, A., & Al-Ani, R. (2024). Implementing AI-based Chatbot: Benefits and Challenges. Procedia Computer Science, 239(2023), 1173–1179. https://doi.org/10.1016/j.procs.2024.06.284
- Angelica, F., . M., & Latifah, N. (2022). Analisis Pengaruh Economic Value Added (Eva) Dan Market Value Added (Mva) Terhadap Return Saham (Studi Empiris Pada Perusahaan Manufaktur di BEI Tahun 2017-2019). Jurnal Ilmiah Fokus Ekonomi, Manajemen, Bisnis & Akuntansi (EMBA), 1(1), 113–122. https://doi.org/10.34152/emba.v1i1.452
- Arias, D., Saxena, S., & Verguet, S. (2022). Quantifying the global burden of mental disorders and their economic value. EClinicalMedicine, 54. https://doi.org/10.1016/j.eclinm.2022.101675
- Arroyabe, M. F., Arranz, C. F. A., Fernandez De Arroyabe, I., & Fernandez de Arroyabe, J. C. (2024). Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment. Technology in Society, 79(November 2023), 102733. https://doi.org/10.1016/j.techsoc.2024.102733
- Baffour Gyau, E., Appiah, M., Gyamfi, B. A., Achie, T., & Naeem, M. A. (2024). Transforming banking: Examining the role of AI technology innovation in boosting banks financial performance. International Review of Financial Analysis, 96(PB), 103700. https://doi.org/10.1016/j.irfa.2024.103700
- Bai, Z., Ban, Y., & Hu, H. (2024). Banking competition and digital transformation. Finance Research Letters, 61(November 2023), 105068. https://doi.org/10.1016/j.frl.2024.105068
- Bao, W., Xu, K., & Leng, Q. (2024). ScienceDirect Research on the Financial Credit Risk Management Model of Real Estate Supply Chain Based on GA-SVM Algorithm : A Comprehensive Evaluation of AI Model and Traditional Model. 243, 900–909. https://doi.org/10.1016/j.procs.2024.09.108
- Bellardini, L., Del Gaudio, B. L., Previtali, D., & Verdoliva, V. (2022). How do banks invest in fintechs? Evidence from advanced economies. Journal of International Financial Markets, Institutions and Money, 77(May 2020), 101498. https://doi.org/10.1016/j.intfin.2021.101498
- Bontadini, F., Filippucci, F., Jona-Lasinio, C., Nicoletti, G., & Saia, A. (2024). Digitalisation of financial services, access to finance and aggregate economic performance. OECD Economics Department Working Report, 1818. https://doi.org/https://dx.doi.org/10.1787/10c7e583-en
- Calabrese, G. G., Falavigna, G., & Ippoliti, R. (2024). Financial constraints prediction to lead socio-economic development: An application of neural networks to the Italian market. Socio-Economic Planning Sciences, 95(February), 101973. https://doi.org/10.1016/j.seps.2024.101973
- Chen, Q., Gong, Y., Lu, Y., & Tang, J. (2022). Classifying and measuring the service quality of AI chatbot in frontline service. Journal of Business Research, 145(July 2021), 552–568. https://doi.org/10.1016/j.jbusres.2022.02.088
- Chien, F., Ngo, Q. T., Hsu, C. C., Chau, K. Y., & Iram, R. (2021). Assessing the mechanism of barriers towards green finance and public spending in small and medium enterprises from developed countries. Environmental Science and Pollution Research, 28(43), 60495–60510. https://doi.org/10.1007/s11356-021-14907-1
- Czechowska, I. D., & Paduszyńska, M. (2024). ScienceDirect ScienceDirect Digital Banking Performance on the Example of PayTech Solutions : Digital Banking Performance on the Example of PayTech Solutions : Polish Perspective Polish Perspective. Procedia Computer Science, 246(2023), 1770–1779. https://doi.org/10.1016/j.procs.2024.09.679
- Dammak, W., Fakhfekh, M., Alnafisah, H., & Jeribi, A. (2024). AI companies’ strategies with traditional vs. digital assets amid geopolitical and banking crises. Heliyon, 10(23), e40382. https://doi.org/10.1016/j.heliyon.2024.e40382
- Dang, S., Quach, S., & Roberts, R. E. (2025). Explanation of time perspectives in adopting AI service robots under different service settings. Journal of Retailing and Consumer Services, 82(March 2024), 104109. https://doi.org/10.1016/j.jretconser.2024.104109
- Deloitte/ Sales Force. (2020). Investment banking digital transformation (pp. 1–5).
- Demirel, S., & Topcu, M. (2024). The Impact of Artificial Intelligence Applications on Digital Banking in Turkish Banking Industry. Advances in Human-Computer Interaction, 2024. https://doi.org/10.1155/2024/9921363
- Diana Riyana Harjayanti1, Robi Juniansah, Ifa Nurmasari, Marko Novak, D. O. (2024). The effect of economic value added and market value added on bank stock returns. Global Advances Ini Business Studies, 3(1), 49–56. https://doi.org/doi.org/10.55584/Gabs.003.01.5
- Farouk, A., & Mohammed, A. (2024). The Role of Artificial Intelligence (AI) on the Fraud Detection in the Private Sector in Saudi Arabia. Journal of Arts, Literature, Humanities and Social Sciences, 100, 472–506. https://doi.org/10.33193/jalhss.100.2024.1018
- Fernández, P. (2021). Fernández, Business - Unknown - EVA and Cash value added do NOT measure shareholder value creation.pdf. 1–17.
- Fungáčová, Z., Hasan, I., & Weill, L. (2019). Trust in banks. Journal of Economic Behavior and Organization, 157, 452–476. https://doi.org/10.1016/j.jebo.2017.08.014
- Gómez-Martínez, R., & Medrano-Garcia, M. L. (2025). AI technology for developing Bitcoin investment strategies based on altcoin trends. Sustainable Technology and Entrepreneurship, 4(1). https://doi.org/10.1016/j.stae.2024.100087
- Guo, Y., Li, Y., Liu, D., & Xu, S. X. (2024). Measuring service quality based on customer emotion: An explainable AI approach. Decision Support Systems, 176(August 2022), 114051. https://doi.org/10.1016/j.dss.2023.114051
- Haleem, A., Javaid, M., Asim Qadri, M., Pratap Singh, R., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3(August), 119–132. https://doi.org/10.1016/j.ijin.2022.08.005
- Haleem, A., Javaid, M., & Singh, R. P. (2024). Exploring the competence of ChatGPT for customer and patient service management. Intelligent Pharmacy, 2(3), 392–414. https://doi.org/10.1016/j.ipha.2024.03.002
- Haller, K. (2022). Why Organizations Invest in AI BT - Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations (K. Haller (ed.); pp. 1–21). Apress. https://doi.org/10.1007/978-1-4842-7824-6_1
- Hmoud, H., Shishan, F., Qasem, Z., & Bazi, S. (2023). The effect of Arabic language type on banking chatbots adoption. Heliyon, 9(10), e20686. https://doi.org/10.1016/j.heliyon.2023.e20686
- Holmström, J. (2022). From AI to digital transformation: The AI readiness framework. Business Horizons, 65(3), 329–339. https://doi.org/10.1016/j.bushor.2021.03.006
- Huang, X., Newton, D. P., Platanakis, E., & Sutcliffe, C. (2024). Single-stage portfolio optimization with automated machine learning for M6. International Journal of Forecasting, xxxx. https://doi.org/10.1016/j.ijforecast.2024.08.004
- Huo, D., Gu, W., Guo, D., & Tang, A. (2024). The service trade with AI and energy efficiency: Multiplier effect of the digital economy in a green city by using quantum computation based on QUBO modeling. Energy Economics, 140(November), 107976. https://doi.org/10.1016/j.eneco.2024.107976
- Indriasari, E., Gaol, F. L., & Matsuo, T. (2019). Digital Banking Transformation: Application of Artificial Intelligence and Big Data Analytics for Leveraging Customer Experience in the Indonesia Banking Sector. Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019, 863–868. https://doi.org/10.1109/IIAI-AAI.2019.00175
- Itani, O. S., Kalra, A., & Rostami, A. (2024). How does big data affect organizational financial performance in turbulent markets? The role of customer-linking and selling capabilities. Technological Forecasting and Social Change, 201(January 2023), 123221. https://doi.org/10.1016/j.techfore.2024.123221
- Jalali, S., Bouwman, H., & De Reuver, M. (2017). Chatbots: Building interactions between organizations and customers. 1–11.
- Kim, J., Koo, B., & Kang, H. G. (2024). Limitations of the investor information confirmation form in capturing investor risk propensity. Heliyon, 10(21), e39923. https://doi.org/10.1016/j.heliyon.2024.e39923
- Krishna, V. V. (2024). A I and contemporary challenges: The good, bad and the scary. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100178. https://doi.org/10.1016/j.joitmc.2023.100178
- Krystyna Niziol. (2021). The Challenges of consumer protection law connected with the development of artificial intelligence on the example of financial services(chosen legal aspects). 25th International Conference on Knowledge-Based and Intelligent Information & Engineering System, 192, 4102–4111. https://doi.org/10.1016/j.procs.2021.09.185
- Levasseur, W., Perré, P., & Pozzobon, V. (2020). A review of high value-added molecules production by microalgae in light of the classification. Biotechnology Advances, 41(January), 107545. https://doi.org/10.1016/j.biotechadv.2020.107545
- Luan, D. X., Van Tran, N., Van Quyet, T., & Kingsbury, A. J. (2023). Banking for tourism in the digital age: Access to credit and cashless payments for community-based tourism household-owned businesses in Vietnam. Tourism Management Perspectives, 48(April), 101144. https://doi.org/10.1016/j.tmp.2023.101144
- Lui, A. K. H., Lee, M. C. M., & Ngai, E. W. T. (2022). Impact of artificial intelligence investment on firm value. Annals of Operations Research, 308(1–2), 373–388. https://doi.org/10.1007/s10479-020-03862-8
- Mancuso, I., Messeni, A., Panniello, U., & Vaia, G. (2025). Journal of Engineering and Business model innovation in the banking sector : How digital technologies transform innovation drivers in value mechanisms innovations. Journal of Engineering and Technology Management, 75(December 2024), 101858. https://doi.org/10.1016/j.jengtecman.2024.101858
- Manta, A. G., Badareu, G., Bădîrcea, R. M., & Doran, N. M. (2023). Does Banking Accessibility Matter in Assuring the Economic Growth in the Digitization Context? Evidence from Central and Eastern European Countries. Electronics (Switzerland), 12(2). https://doi.org/10.3390/electronics12020279
- Manta, A. G., Bădîrcea, R. M., Doran, N. M., Badareu, G., Gherțescu, C., & Popescu, J. (2024). Industry 4.0 Transformation: Analysing the Impact of Artificial Intelligence on the Banking Sector through Bibliometric Trends. Electronics (Switzerland), 13(9). https://doi.org/10.3390/electronics13091693
- Manta, A. G., Maria, R., & Ghert, C. (2024). How Does the Nexus Between Digitalization and Banking Performance Drive Digital Transformation in Central and Eastern European Countries ?
- Mardhiyah, A., Karyatun, S., & Digdowiseiso, K. (2023). The Effect Of Current Ratio (CR), Economic Value Added (EVA), And Debt To Equity Ratio (DER) On Stock Prices In The Banking Sector Listed On The Indonesia Stock Exchange For The 2017-2021 Period. International Journal of Economics, Management, Business and Social Science (IJEMBIS), 3(2), 812–823. https://cvodis.com/ijembis/index.php/ijembis/article/view/302/273
- Marinč, M. (2013). Banks and information technology: Marketability vs. relationships. In Electronic Commerce Research (Vol. 13, Issue 1). https://doi.org/10.1007/s10660-013-9107-2
- Mariscal, C., Yustiawan, Y., Rochim, F. C., & Tanuar, E. (2024). Implementing and analyzing fairness in banking credit scoring. Procedia Computer Science, 234, 1492–1499. https://doi.org/10.1016/j.procs.2024.03.150
- Masciandaro, D., & Russo, R. (2022). Central Banking and Climate Change Policies: It is not Always a Positive Sum Game. SUERF Policy Brief, 398, 1–11.
- Meganathan Kumar Satheesh and Samala Nagaraj. (2021). Applications of Artificial Intelligence on Customer Experience and Service Quality of the Banking Sector: An Overview. International Management Review, 17(1), 290–301. https://doi.org/10.1201/9781003328414-25
- Mi Alnaser, F., Rahi, S., Alghizzawi, M., & Ngah, A. H. (2023). Does artificial intelligence (AI) boost digital banking user satisfaction? Integration of expectation confirmation model and antecedents of artificial intelligence enabled digital banking. Heliyon, 9(8), e18930. https://doi.org/10.1016/j.heliyon.2023.e18930
- Muhammad, R., & Azmiana, R. (2021). Determinan Struktur Modal Perbankan Syariah Asia Dan Eropa. Media Riset Akuntansi, Auditing & Informasi, 21(1), 51–74. https://doi.org/10.25105/mraai.v21i1.9089
- Naeem, M., Siraj, M., Abdali, A. S., & Mehboob, A. (2024). The Impact of Investment in AI on Bank Performance: Empirical Evidence from Pakistan’s Banking Sector. KASBIT Business Journal, 17(1), 44. https://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=177157463&site=ehost-live
- Nallakaruppan, M. K., Balusamy, B., Shri, M. L., Malathi, V., & Bhattacharyya, S. (2024). An Explainable AI framework for credit evaluation and analysis. Applied Soft Computing, 153(June 2023). https://doi.org/10.1016/j.asoc.2024.111307
- Nasrin Eni, L., Chaudhary, K., Raparthi, M., Reddy Palle, R., Balasubramanian, S., Bhat, A., & Srinu, C. (2023). Evaluating the Role of Artificial Intelligence and Big Data Analytics in Indian Bank Marketing. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 1001–4055.
- Nguyen, P. H., Pham, T. V., Nguyen, L. A. T., Pham, H. A. T., Nguyen, T. H. T., & Vu, T. G. (2024). Assessing cybersecurity risks and prioritizing top strategies In Vietnam’s finance and banking system using strategic decision-making models-based neutrosophic sets and Z number. Heliyon, 10(19), e37893. https://doi.org/10.1016/j.heliyon.2024.e37893
- Nguyen, Q. T. T., Ho, L. T. H., & Nguyen, D. T. (2023). Digitalization and bank profitability: evidence from an emerging country. International Journal of Bank Marketing, 41(7), 1847–1871. https://doi.org/10.1108/IJBM-03-2023-0156
- Omoge, A. P., Gala, P., & Horky, A. (2022). Disruptive technology and AI in the banking industry of an emerging market. International Journal of Bank Marketing, 40(6), 1217–1247. https://doi.org/10.1108/IJBM-09-2021-0403
- Pandey, D. K., Hassan, M. K., Kumari, V., Zaied, Y. Ben, & Rai, V. K. (2024). Mapping the landscape of FinTech in banking and finance: A bibliometric review. Research in International Business and Finance, 67(PA), 102116. https://doi.org/10.1016/j.ribaf.2023.102116
- Pathak, A., & Bansal, V. (2024). Computers in Human Behavior : Artificial Humans AI as decision aid or delegated agent : The effects of trust dimensions on the adoption of AI digital agents. Computers in Human Behavior: Artificial Humans, 2(2), 100094. https://doi.org/10.1016/j.chbah.2024.100094
- Pérez-Hernández, F., Arévalo-de-Pablos, A., & Camacho-Miñano, M. del M. (2024). A hybrid model integrating artificial neural network with multiple GARCH-type models and EWMA for performing the optimal volatility forecasting of market risk factors. Expert Systems with Applications, 243(October 2022), 122896. https://doi.org/10.1016/j.eswa.2023.122896
- Philip Olaseni Shoetan, & Babajide Tolulope Familoni. (2024). Transforming Fintech Fraud Detection With Advanced Artificial Intelligence Algorithms. Finance & Accounting Research Journal, 6(4), 602–625. https://doi.org/10.51594/farj.v6i4.1036
- Polireddi, N. S. A. (2024). An effective role of artificial intelligence and machine learning in banking sector. Measurement: Sensors, 33(March), 101135. https://doi.org/10.1016/j.measen.2024.101135
- Przegalinska, A., Triantoro, T., Kovbasiuk, A., Ciechanowski, L., Freeman, R. B., & Sowa, K. (2025). Collaborative AI in the workplace: Enhancing organizational performance through resource-based and task-technology fit perspectives. International Journal of Information Management, 81(June 2024), 102853. https://doi.org/10.1016/j.ijinfomgt.2024.102853
- Rahman, M., Ming, T. H., Baigh, T. A., & Sarker, M. (2023). Adoption of artificial intelligence in banking services: an empirical analysis. International Journal of Emerging Markets, 18(10), 4270–4300. https://doi.org/10.1108/IJOEM-06-2020-0724
- Rahman, M., Yee, H. P., Masud, M. A. K., & Uzir, M. U. H. (2024). Examining the dynamics of mobile banking app. Adoption during the COVID-19 pandemic: A digital shift in the crisis. Digital Business, 4(2), 100088. https://doi.org/10.1016/j.digbus.2024.100088
- Rane, N. (2023). Enhancing Customer Loyalty through Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies: Improving Customer Satisfaction, Engagement, Relationship, and Experience. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4616051
- Rane, N., Choudhary, S., & Rane, J. (2023). Metaverse for Enhancing Customer Loyalty: Effective Strategies to Improve Customer Relationship, Service, Engagement, Satisfaction, and Experience. SSRN Electronic Journal, 05, 427–452. https://doi.org/10.2139/ssrn.4624197
- Rathore, B. (2020). Personalization and profits: the impact of AI on targeted digital marketing. International Journal of Transcontinental Discoveries, 7(1), 1–14. https://internationaljournals.org/index.php/ijtd/article/view/1
- Saghiri, S., & Mirzabeiki, V. (2021). Omni-channel integration: the matter of information and digital technology. International Journal of Operations & Production Management, 41(11), 1660–1710. https://doi.org/10.1108/IJOPM-04-2021-0262
- Sarker, I. H. (2023). Multi‐aspects AI ‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview . Security and Privacy, 6(5), 1–26. https://doi.org/10.1002/spy2.295
- Sezer Bozku¸sKahyao˘glu. (2021). The Impact of Artificial Intelligence on Governance, Economics and Finance, Volume I (pp. 99–119). Singapore Pte Ltd. https://doi.org/https://doi.org/10.1007/978-981-33-6811-8
- Shahzad, M. F., Xu, S., An, X., & Javed, I. (2024). Assessing the impact of AI-chatbot service quality on user e-brand loyalty through chatbot user trust, experience and electronic word of mouth. Journal of Retailing and Consumer Services, 79(March), 103867. https://doi.org/10.1016/j.jretconser.2024.103867
- Sharma, P., Kong, T. T. C., & Kingshott, R. P. J. (2016). Internal service quality as a driver of employee satisfaction, commitment and performance: Exploring the focal role of employee well-being. Journal of Service Management, 27(5), 773–797. https://doi.org/10.1108/JOSM-10-2015-0294
- Siva, V., Nimmagadda, P., & Researcher, I. (2022). Artificial Intelligence for Customer Behavior Analysis in Insurance : Advanced Models , Techniques , and Real-World Applications. Journal of AI in Healthcare and Medicine, 2(1), 227–262.
- Son, Y., Kwon, H. E., Tayi, G. K., & Oh, W. (2020). Impact of customers’ digital banking adoption on hidden defection: A combined analytical–empirical approach. Journal of Operations Management, 66(4), 418–440. https://doi.org/10.1002/joom.1066
- Sudianjaya, J. C., Kuswanto, H., & Nadlifatin, R. (2024). Understanding Future Trends in Digital Banking Research Through Bibliometric Analysis. Procedia Computer Science, 234, 764–771. https://doi.org/10.1016/j.procs.2024.03.095
- Teigland, R., Siri, S., Larsson, A., Puertas, A. M., & Bogusz, C. I. (2018). The Rise and Development of FinTech: Accounts of Disruption from Sweden and Beyond. In The Rise and Development of FinTech: Accounts of Disruption from Sweden and Beyond. https://doi.org/10.4324/9781351183628
- Turksen, U., Benson, V., & Adamyk, B. (2024). Legal implications of automated suspicious transaction monitoring: enhancing integrity of AI. Journal of Banking Regulation, 25(4), 359–377. https://doi.org/10.1057/s41261-024-00233-2
- Varma, A. (2021). Revolution of Financial Services: Analysing the Impact of Ai on Banking and Investment. 19(12), 565–575. https://doi.org/10.48047/nq.2021.19.12.NQ21256
- Vasile, V., Panait, M., & Apostu, S. A. (2021). Financial inclusion paradigm shift in the postpandemic period. Digital-divide and gender gap. International Journal of Environmental Research and Public Health, 18(20). https://doi.org/10.3390/ijerph182010938
- Velev, D. G., & Zahariev, M. P. (2022). Challenges of Bank Service Digitalization by Artificial Intelligence: The Case of Bulgaria. International Journal of Trade, Economics and Finance, 13(3). https://doi.org/10.18178/ijtef.2022.13.3.729
- Vijayakumar, H. (2021). The Impact of AI-Innovations and Private AI-Investment on U.S. Economic Growth: An Empirical Analysis. Reviews of Contemporary Business Analytics, 4(1), 14–32. https://researchberg.com/index.php/rcba/article/view/167
- Wagobera Edgar Kedi, Chibundom Ejimuda, Courage Idemudia, & Tochukwu Ignatius Ijomah. (2024). AI software for personalized marketing automation in SMEs: Enhancing customer experience and sales. World Journal of Advanced Research and Reviews, 23(1), 1981–1990. https://doi.org/10.30574/wjarr.2024.23.1.2159
- Waltersmann, L., Kiemel, S., Stuhlsatz, J., Sauer, A., & Miehe, R. (2021). Artificial intelligence applications for increasing resource efficiency in manufacturing companies—A comprehensive review. Sustainability (Switzerland), 13(12). https://doi.org/10.3390/su13126689
- Wamba-Taguimdje, S.-L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893–1924. https://doi.org/10.1108/BPMJ-10-2019-0411
- Wang, C. H., Zeng, Y., & Yuan, J. (2024). Two-stage stock portfolio optimization based on AI-powered price prediction and mean-CVaR models. Expert Systems with Applications, 255(PB), 124555. https://doi.org/10.1016/j.eswa.2024.124555
- Wang, C., Liu, X., Chen, B., & Li, M. (2023). Topological properties of reconstructed credit networks and banking systemic risk. North American Journal of Economics and Finance, 66(January), 101913. https://doi.org/10.1016/j.najef.2023.101913
- Xiong, X., Yu, I. K. M., Tsang, D. C. W., Bolan, N. S., Sik Ok, Y., Igalavithana, A. D., Kirkham, M. B., Kim, K. H., & Vikrant, K. (2019). Value-added chemicals from food supply chain wastes: State-of-the-art review and future prospects. Chemical Engineering Journal, 375(June), 121983. https://doi.org/10.1016/j.cej.2019.121983
- Yang, X., Song, B., Chen, L., Ho, S. S., & Sun, J. (2025). Computers in Human Behavior Technological optimism surpasses fear of missing out : A multigroup analysis of presumed media influence on generative AI technology adoption across varying levels of technological optimism. 162(May 2024).
- Yella Sravan. (2024). Ai-Driven Content Creation and Personalization: Revolutionizing Digital Marketing Strategies. July. www.irjet.net
- Yi, J., Oh, Y. K., & Kim, J. M. (2025). Unveiling the drivers of satisfaction in mobile trading: Contextual mining of retail investor experience through BERTopic and generative AI. Journal of Retailing and Consumer Services, 82(March 2024), 104066. https://doi.org/10.1016/j.jretconser.2024.104066
- Yongjie Zhu and Shanyue Jin. (2023). HowDoes the Digital Transformation of Banks Improve Efficiency and Environmental, Social, and Governance Performance? Systems, 11(328). https://doi.org/In the era of the digital economy, traditional industries have begun to realize digital transformations. For commercial banks, digital transformation is a trend and a requirement and is the only way to achieve sustainable development. At the same time, at the helm of the enterprise, executives play an essential role in the development of commercial banks. This study explored the relationship between digital bank transformation and bank efficiency, environment, society, and corporate governance (
- Zhang, J., Lu, X., Zheng, W., & Wang, X. (2024). It’s better than nothing: The influence of service failures on user reusage intention in AI chatbot. Electronic Commerce Research and Applications, 67(June), 101421. https://doi.org/10.1016/j.elerap.2024.101421

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