Abstract:PurposeArtificial intelligence (AI) is used by banking services primarily to automate systems; however, this ecosystem does not work in emerging markets because human intervention is needed, and there are concerns related to infrastructure. There is plenty of research on AI-mediated banking services, but the existing discussions are cumbersome, and studies on AI's service features in banking for emerging markets are limited. Furthermore, the ongoing discussions are centred on developed markets where automation… Show more
“…In a separate study, Mogaji and Nguyen (2022a, b) explored the integration of AI in financial services marketing, providing insights into how banks are utilizing AI-driven strategies to enhance their marketing efforts. Furthermore, Sheth et al (2022) delved into the use of fintech by traditional banks to deliver personalized banking experiences, highlighting the transformative potential of fintech in shaping the customer journey within the banking industry. These studies collectively contribute to our understanding of how fintech is being adopted by traditional banks to drive innovation and improve customer experiences in the financial sector.…”
PurposeThis study aims to shed light on the evolving nature of banks in the digital era and the implications for bank marketing and management. The research addresses the need for a comprehensive typology of banks that integrates fintech and explores how traditional and app-only banks strategically position their brands. The key argument is that understanding the changing landscape of banking and the impact of technological advancements is crucial for banks to navigate the challenges and opportunities presented by fintech and digital transformation.Design/methodology/approachThis study examines literature and practices to develop a typology of banks, describing their characteristics, strengths, weaknesses and providing examples. It also proposes new research agendas for scholars and practitioners in the field.FindingsThis paper introduces a typology of banks based on their adoption of fintech and digital technologies. Three distinct types of banks are identified: Traditional banks adopting FinTech (TBAF), Traditionally Driven Neo Banks (TDNBs) and Digitally Driven Neo Banks (DDNBs). TBAF are traditional banks that have embraced fintech solutions to enhance their operations and customer experiences. TDNBs represent a hybrid model, combining the trusted brand and infrastructure of traditional banks with the digital capabilities and agility of neo banks. DDNBs are purely digital banks that operate exclusively online, offering innovative and user-friendly banking services.Originality/valueThis study is a pioneering work that classified banks based on their utilization of fintech and digital technologies. The study provides a typology of banks based on fintech adoption, offering valuable insights for bank managers, policymakers and researchers. The research also outlines a research agenda, suggesting future investigations to further enhance understanding of the evolving banking landscape and its implications.
“…In a separate study, Mogaji and Nguyen (2022a, b) explored the integration of AI in financial services marketing, providing insights into how banks are utilizing AI-driven strategies to enhance their marketing efforts. Furthermore, Sheth et al (2022) delved into the use of fintech by traditional banks to deliver personalized banking experiences, highlighting the transformative potential of fintech in shaping the customer journey within the banking industry. These studies collectively contribute to our understanding of how fintech is being adopted by traditional banks to drive innovation and improve customer experiences in the financial sector.…”
PurposeThis study aims to shed light on the evolving nature of banks in the digital era and the implications for bank marketing and management. The research addresses the need for a comprehensive typology of banks that integrates fintech and explores how traditional and app-only banks strategically position their brands. The key argument is that understanding the changing landscape of banking and the impact of technological advancements is crucial for banks to navigate the challenges and opportunities presented by fintech and digital transformation.Design/methodology/approachThis study examines literature and practices to develop a typology of banks, describing their characteristics, strengths, weaknesses and providing examples. It also proposes new research agendas for scholars and practitioners in the field.FindingsThis paper introduces a typology of banks based on their adoption of fintech and digital technologies. Three distinct types of banks are identified: Traditional banks adopting FinTech (TBAF), Traditionally Driven Neo Banks (TDNBs) and Digitally Driven Neo Banks (DDNBs). TBAF are traditional banks that have embraced fintech solutions to enhance their operations and customer experiences. TDNBs represent a hybrid model, combining the trusted brand and infrastructure of traditional banks with the digital capabilities and agility of neo banks. DDNBs are purely digital banks that operate exclusively online, offering innovative and user-friendly banking services.Originality/valueThis study is a pioneering work that classified banks based on their utilization of fintech and digital technologies. The study provides a typology of banks based on fintech adoption, offering valuable insights for bank managers, policymakers and researchers. The research also outlines a research agenda, suggesting future investigations to further enhance understanding of the evolving banking landscape and its implications.
“…(2023) indicate that digitalized banks establish more online sale channels that helps to facilitate banks’ revenues by cross-selling bank services. Sheth et al. (2022) add that effective AI integration in banking business enhances banking processes and fosters service exclusivity.…”
Section: Literature Review and Hypotheses Developmentmentioning
confidence: 99%
“…Consistent with these arguments, Oikonomou et al (2023) indicate that digitalized banks establish more online sale channels that helps to facilitate banks' revenues by cross-selling bank services. Sheth et al (2022) add that effective AI integration in banking business enhances banking processes and fosters service exclusivity. Kwan et al (2021) suggest that during COVID-19 pandemic, customers are more likely to move to better IT-intensive banks.…”
Section: Literature Review and Hypotheses Development 21 Digitalizati...mentioning
PurposeThis study aims to investigate the effect of digitalization on bank profitability among Vietnamese banks.Design/methodology/approachThe research employs fixed-effects regression on a panel data of 32 banks in Vietnam during the period 2010–2021.FindingsThe study reveals a positive impact of digitalization on bank profitability. The result is robust to different measures and empirical settings. Not surprisingly, small banks and banks with high percentage of state ownership experience lower profitability than their peers. However, digitalization helps improve the profitability of these banks. This study explains the effect by showing that digitalization significantly reduces bank cost in terms of cost to income ratio and increases bank non-interest income through diversification into non-traditional products and services. In addition, the current stage of bank digitalization in Vietnam does not reduce banks’ employment costs since it requires staffs to support and operate the new system.Practical implicationsThe research findings are motivations for bankers and policy-makers in designing appropriate strategies toward digitalization. Investors can also consider highly digitalized banks as valuable investment.Originality/valueThis research extends the current literature on the relationship between digitalization and bank profitability, with a focus on commercial banks in Vietnam. Given the high involvement of the government and the dominance of several large banks in the banking system, the study also explores whether the effect of digitalization on bank profitability varies with the bank’s size and state ownership. Last but not least, the channels in which digitalization affects bank profitability are also examined.
“…This special issue includes nine articles, and it is structured as follows: (1) the intersect of AI and political ideology in financial services marketing (Riedel et al , 2022; Cui, 2022), (2) financial robo-advisors (Bouhia et al , 2022; Northey et al , 2022), (3) developing AI for financial services marketing in emerging countries (Ghazwani et al , 2022; Omoge et al , 2022; Mogaji et al , 2021; Sheth et al , 2022) and (4) new theoretical and empirical approaches (Hentzen et al , 2021). Papers in each theme are subsequently discussed.…”
Section: The Selected Papersmentioning
confidence: 99%
“…Furthermore, the authors establish that technology downtime acts as a boundary condition on technology usage, consumer buying behavior and customer satisfaction in a Nigerian banking context. Furthermore, Sheth et al (2022) explored AI-driven banking services for a personalized experience in an emerging market, and they emphasized the relevance of AI mediation in emerging markets. In addition, they reiterate the importance of human intervention in AIdriven banking by introducing personalized service experience elements and highlighting the role of customer experience in AI-driven banking services.…”
Section: Developing Ai For Financial Services Marketing In Emerging C...mentioning
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