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The present study aims to comprehensively examine the impact of the Union Bank of Switzerland (UBS) takeover of Credit Suisse on the banking and financial services sector in the Indian stock market. To fully comprehend the impact of the event, the study separately investigates the response of private sector banks, public sector banks, overall banking companies and financial services companies to the takeover of the second-largest financial institution in Switzerland.

The study employs event study methodology, using the market model, to analyze the event's impact on Indian banking and financial services sector stocks. The data consists of daily closing prices of companies included in the Nifty Private Bank Index, Nifty PSU Bank Index, Nifty Bank Index and Nifty Financial Services Index from the National Stock Exchange (NSE). Furthermore, cross-sectional regression analysis has been conducted to explore the factors that drive abnormal returns.

The empirical findings of the study suggest the event had a heterogeneous impact on the stock prices of Indian banks and financial services companies. While public sector banks experienced a significant negative impact on select days within the event window, the overall Indian banking sector and financial services companies also witnessed notable declines. In contrast, Indian private sector banks were relatively resilient, exhibiting minimal effects. However, the cumulative effect is found to be insignificant for all four categories across different event windows. The study also observed that the cumulative abnormal returns (CARs) were significantly influenced by certain variables during different event windows.

To the best of the authors' knowledge, the present study is the earliest attempt that investigates the impact of the UBS takeover of Credit Suisse on the Indian banking and financial services sector using event study methodology and cross-sectional regression model.

This qualitative study aims to examine bankers’ perspectives regarding financial inclusion, the challenges it faces and the scope for improvement. This research proposes a financial inclusion model, considering the inputs received by bankers. Financial exclusion of different sections is an issue common to emerging countries.

Data for qualitative research were collected through interviews with bank officials. The information was gathered from 32 bankers from India’s several zones (North, South, West and East). The data were collected from bankers from different public and private sector banks. Thematic analysis was performed up to the point of saturation to study the response received from bankers.

Bank-related issues such as frequent computer problems, network connectivity problems, costs, a shortage of bank branches, fewer transactions through automated teller machines and a shortage of banking staff affect customers’ confidence in formal banking. Banking services are disrupted by a lack of trust in banking correspondents (BCs), as they are not regular employees of banks. Limits on daily transactions discourage high-value customers from using BCs and kiosks. The time spent on administrative formalities impacts customers. Financial inclusion is affected by availability, accessibility, usage and affordability. Digital financial literacy is essential for ease of transaction, but awareness about financial products helps protect customers from cyber scams. The findings of this research would benefit financial institutions globally in developing their businesses and helping to achieve financial inclusion and the United Nation’s sustainable development goals (SDGs).

This research paper undertakes a qualitative analysis of the views collected from bankers. Bankers are crucial stakeholders in the successful implementation of the National Financial Inclusion Policy of the Government of India. Bankers’ perspectives will be important not only for India and its researchers but also in the global context, as the UN’s SDGs focus on leaving no one behind.

In the evolving landscape of global remittances, this study systematically explores cryptocurrency's transformative impact on remittance services through a comprehensive literature review and bibliometric analysis.

Through meticulous PRISMA-guided analysis, the research identifies cryptocurrency technology as a pivotal force in enhancing remittance efficiency, reducing costs and broadening access contributing significantly to financial inclusion.

Findings revealed that cryptocurrency technology could significantly enhance remittance services, offering improved efficiency, reduced costs and increased accessibility. This suggests a transformative potential for financial inclusion, presenting a compelling case for broader adoption and regulatory support to leverage these benefits effectively.

By integrating recent research, this work underlines the urgent need for broader adoption and regulatory support to leverage these benefits effectively. It offers novel insights for institutions and policymakers, highlighting the potential for technology adoption in remittances to enhance financial inclusivity.

More cryptocurrency studies are needed to concentrate on remittance markets. Thus, this investigation constitutes a unique addition to the field. Additional investigation in this domain presents significant possibilities for future exploration and progress.

This paper aimed to identify the impact that Industry 4.0 can have on the service sector and how its combination can generate benefits for Sustainability 4.0 in the context of the Triple Bottom Line.

A Systematic Literature Review (RSL) was developed using the following combinations of keywords on the Web of Science and Scopus databases: Industry 4.0 And Sustainability, Industry 4.0 And Service, and Industry 4.0 And Sustainable Development, in which 24 papers were selected.

As a result, the authors found 100 benefits for sustainable development, which were further categorized into 54 advantages for the economic area, 25 for the social segment and 21 for environmental aspects. In this way, the results can help private companies understand the use of these technologies aimed at sustainable growth, plus bolstering the government to conduct public policies to encourage these practices in technology organizations.

As a practical implication, this study offers insight into the evolution of sustainable development. It enables the emergence of works that wish to explore the service sector, providing relevant information for decision-making and influencing managers and policymakers on the importance of applying Industry 4.0 toward the sustainability of the service sector and its applications.

The originality of this study lies in expanding the understanding generated by 4.0 technologies, by diverting attention from the manufacturing and agricultural sectors, which have abundant literature on the subject. With this, this work demonstrated that modern technologies have greater possibilities of an action directed at the service sector, in addition to being able to contribute to Sustainability 4.0 from the perspective of the sustainability tripod.

This research aims to determine to what extent corporate social responsibility (CSR) actions developed by bank entities in Spain improve the vulnerable customers' emotions and quality perception of the banking service. Consequently, this increases the quality of their relationship regarding satisfaction, trust and engagement.

Data from 734 vulnerable banking customers were analyzed through structural equations modeling (EQS 6.2) to test the relationships of the proposed variables.

Vulnerable customers' emotional disposition exerts a strong influence on their perceived service quality. The antecedent effect is concentrated primarily on the CSR towards the client, with a residual secondary weight on the CSR towards society. These positive service emotions are determinants of the outcome quality perceived by vulnerable customers, directly in terms of higher satisfaction and trust and indirectly through engagement.

This research contributes to understanding how financial service providers should adapt to the specific characteristics and needs of vulnerable clients by adopting a strategy of approach, personalization and humanization of the service that seems to move away from the actions implemented by the banking industry in recent years.

This study has adopted a theoretical and empirical perspective on the impact of CSR on service emotions and outcome quality of vulnerable banking customers. Moreover, banks can adopt a dual conception of CSR: a macro and external scope toward society and a micro and internal scope toward customers.

With reference to the global financial crisis and lessons learned, advocacy for distributing suitable financial products by financial intermediaries remain key if consumers, especially the illiterate in underdeveloped financial markets, are to be absorbed into the formal financial system. Financial intermediaries such as microfinance banks should provide suitable financial products, with full disclosure of information and customer protection relating to distribution of all financial products within the financial market to prevent financial vulnerability. The main purpose of this study is to establish the mediating role of financial product suitability in the relationship between access to microfinance products and survival of women micro-agribusinesses in rural Uganda.

SmartPLS with bootstrap based on 5,000 samples was used to test for the mediating role of financial product suitability in the relationship between access to microfinance products and survival of women micro-agribusinesses in rural Uganda.

The results revealed that financial product suitability improves access to microfinance products by 29 percentage points to promote survival of women micro-agribusinesses in rural Uganda. In reality, delivering suitable financial products that suit the economic condition of poor women micro-agribusiness borrowers, can allow them to use these products to generate income to meet timely repayment obligations and business demands.

The current study selected samples from only women micro-agribusinesses operating in rural Uganda, with a specific focus on the northern region. Thus, studies involving samples selected from other rural developing countries may be necessary in future. Additionally, while the findings are significant, the data were collected from only women microenterprises who are clients of microfinance banks. Future studies focusing on women microenterprises who are clients of other financial institutions may offer insightful comparative data.

The findings from this study offer strategies for managers of microfinance banks to invent and design financial products that suit the economic status and condition of different microcredit clients, especially the women micro-agribusinesses. This can help them to solve the problem of defaults in loan repayment and delinquency common while lending to the rural poor. In fact, microfinance banks should adopt a customized loan pricing model that can promote the operational sustainability and commercial viability of women micro-agribusinesses in the current situation of mission adrift.

The current study uses the suitability rule and economic theory to elucidate the importance of microfinance product suitability to increase microfinance inclusion of women micro-agribusinesses in rural areas in developing countries. The novelty in this paper is in combining the suitability rule and economic theory with microfinance theory to promote access to microcredit by the women micro-agribusinesses in rural Uganda under the situation of mission adrift. This is limited in the existing microfinance literature and theory, especially in developing countries like Uganda.

Integrating artificial intelligence (AI) into various industries, including the financial sector, has transformed them. This paper aims to examine the influence of integrating AI, including machine learning, process automation, predictive analytics and chatbots, on financial institutions and explores its various aspects and areas. The study aims to determine the impact of AI integration on financial services, products and customer experience.

The research study uses quantitative and qualitative methods, as well as secondary data analysis. It investigates four AI subfields: machine learning, process automation, predictive analytics and chatbots.

The research findings indicate that integrating AI, particularly in machine learning and chatbot subfields, holds promise and high strategic potential for financial institutions. These subfields can contribute significantly to enhancing financial services and customer experience. However, the significance of predictive analytics integration and process automation is relatively lower. Although these subfields retain their usefulness, they might necessitate alternative workflows and tools that incorporate human involvement. Overall, AI integration minimizes human interactions and errors in financial institutions.

The research study contributes original insights by exploring the specific subfields of AI within the financial industry and assessing their strategic significance. It provides recommendations for financial institutions to adopt AI integration partially in multiple phases, measure and evaluate the impact of the transformation and structure internal units and expertise to strategize adoption and change.

This study examines the impact of financial technology (FinTech) on bank performance employing data from the United Kingdom (UK) banking sector for a period spanning from 2010 to 2019.

This study employs static as well as dynamic panel data regression analysis to assess the impact of FinTech on the profitability of UK banks.

The results show that FinTech firms positively impact bank performance. For every new FinTech firm introduced into the UK market, net interest margin (NIM) and yield on earning assets (YEA) increase by 6.385 and 3.192% of their sample means, respectively.

Cooperating with FinTech firms, UK banks can broaden their portfolio of financial services offered to their customers and optimize their profit margins.

This is the first study that examines the impact of FinTech on bank profitability employing data from a developed market.

This article aims to investigate how institutional characteristics affect the level of financial development of economies collectively and compare between developed and undeveloped economies.

A dynamic panel with 131 countries, including developed and developing ones, was utilized; the estimators of the generalized method of moments system (GMM system) model were selected because they have econometric characteristics more suitable for analysis, providing superior statistical precision compared to traditional linear estimation methods.

The results from the full panel suggest that concrete and well-defined institutions are important for financial development, confirming previous research, with a more limited scope than the present work.

Limitations of this research include the availability of data for all countries worldwide, which would make the research broader and more complete.

A panel of countries was used, divided into developed and developing countries, to analyze the impact of institutional variables on the financial development of these countries, which is one of the differentiators of this work. Another differentiator of this research is the presentation of estimates in six different configurations, with emphasis on the GMM system model in one and two steps, allowing for comparison between results.

Financial services industry is increasingly showing interest in automated financial advisors, or robo-advisors, with the aim of democratizing access to financial advice and stimulating investment behavior among populations that were previously less active and less served. However, the extent to which consumers trust this technology influences the adoption of rob-advisors. The resemblance to a human, or anthropomorphism, can provide a sense of social presence and increase trust.

In this paper, we conduct an experiment (N = 223) to test the effect of anthropomorphism (low vs medium vs high) and gender (male vs female) of the robo-advisor on social presence. This perception, in turn, enables consumers to evaluate personality characteristics of the robo-advisor, such as competence, warmth, and persuasiveness, all of which are related to trust in the robo-advisor. We separately conduct an experimental study (N = 206) testing the effect of gender neutrality on consumer responses to robo-advisory anthropomorphism.

Our results show that consumers prefer human-alike robo-advisors over machinelike or humanoid robo-advisors. This preference is only observed for male robo-advisors and is explained by perceived competence and perceived persuasiveness. Furthermore, highlighting gender neutrality undermines the positive effect of robo-advisor anthropomorphism on trust.

We contribute to the body of knowledge on robo-advisor design by showing the effect of robot’s anthropomorphism and gender on consumer perceptions and trust. Consequently, we offer insightful recommendations to promote the adoption of robo-advisory services in the financial sector.