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Any banking institution’s success depends heavily on customer satisfaction. Understanding and evaluating customer satisfaction has become crucial with the rise of small finance banks (SFBs) in India, which serve the underserved and unbanking segments of society. In the context of SFBs in India, this chapter aims to examine the variables affecting customer satisfaction as well as how it affects these banks’ overall performance and sustainability. This study will help us better understand the dynamics of customer satisfaction in the Indian financial landscape by examining the particular difficulties and opportunities that SFBs face.

This study aims to develop a customer-centric model based on an online customer experience (OCE) construct relating to e-loyalty, e-trust and e-satisfaction, resulting in improved Net Promoter Score for Indian digital banks.

This study used an online survey method to gather data from a sample of 485 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using partial least squares structural equation modelling to further investigate the research hypotheses.

The main factors determining digital banks’ OCE were perceived customer centrality, perceived value and perceived usability. Additionally, relevant constructs were evaluated using importance-performance map analysis.

This study used convenience sampling for the urban population using digital banking services; therefore, the outcome may be generalized to a limited extent. To further strengthen digital banking, it would be valuable to imitate studies in other countries.

There is a lack of research on digital banking and OCE in India; thus, this study will help rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between online customer satisfaction, loyalty, trust and the bottom line of financial institutions using these factors as dependent variables instead of traditional measures.

This study examines whether corporate social responsibility (CSR) initiatives positively impact customers’ selection of retail banks in Hong Kong (HK) and identifies which CSR domains affect customers’ selection of banks.

This study adopted a quantitative approach. Primary data were collected from 416 customers of 22 retail banks in HK. The theoretical framework of this study was developed from a literature review, prior studies by Oberseder et al. (2013 and 2014), and CSR initiatives implemented by leading retail banks in HK. Descriptive statistics and statistical tests were used to analyze the data.

The study found that CSR initiatives positively affect customers’ bank selection. CSR initiatives related to the customer and environment domains are likely to have a greater impact on customers than those related to the society domain and are not likely to significantly impact customers’ bank selection.

This study contributes to the CSR literature by offering enhanced insight into the dynamics of CSR and its effects on customer bank selection. Furthermore, this study tests consumers’ perceptions of CSR initiatives in each CSR domain in the banking sector in Hong Kong – a novel approach that has not been previously explored in existing studies. These findings can help banks review the effectiveness of their CSR initiatives and make informed decisions on which initiatives should pursue improved CSR performance and efficient resource allocation.

This study aims to conceptualise a customer-centric model based on an online customer experience (OCE) construct, mediated by e-loyalty (EL) and e-trust (ET), to improve the continuous usage intention (CUI) of Indian digital banks from Generation Y and Z perspectives.

This study used an online survey method to gather data from a sample of 466 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using PLS-SEM to further study the research hypotheses.

The main factors that determine digital banks’ OCE are perceived enjoyment, e-service quality, information quality and e-convenience. Additionally, relevant constructs were evaluated using an importance-performance map analysis.

This study used convenience sampling for the urban population using digital banking; therefore, the outcome may be generalised to a limited extent. It would be valuable to imitate studies in other countries to strengthen digital banking further.

There is a lack of research on digital banking and OCE in India; thus, this study helps rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between OCE, EL, ET and the bottom line of financial institutions, using these factors as dependent variables instead of traditional measures.

This study aims to identify the groups of value cocreators in the context of social media in the retail banking industry and resources that predict customer membership among different groups of value cocreators.

This study reviewed the literature and developed measurement instruments for the constructs of interest. Data were collected from 406 customers in an emerging market in 2019 and analyzed using latent profile analysis.

This study identified three profiles of value cocreators on social media based on the actual practices of resource integration that enliven value cocreation. Second, this study explains the differences in the performance of resource integration practices to cocreate by the types of resources that customers integrate into social media. Third, this study fills the need for knowledge of value cocreation in different contexts and industries (e.g. banks).

This study analytically relates a set of resources to the variety and intensity of the value cocreation practices adopted by bank customers in interactive environments. The emphasis on how value cocreation practices in online environments combined with customer resources (e.g., a person-centered approach) allows to identify unique profiles of value cocreators on social media. The findings inform managers of the profiles of cocreators, which customers are more attractive as value cocreators on social media, and which resources managers should help customers develop to increase cocreation on social media.

This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was adopted to sample 389 consumers who were previously exposed to chatbot banking in Zimbabwe. A causal research design was employed whilst a quantitative approach was followed. In analysing data, the research study applied the structural equation modelling (SEM) technique. The authors found that chatbot banking significantly improves customer experience (CX) in the banking industry. Reliability and responsiveness of the chatbot need to be enhanced for effective improvements in CX. A need was also identified to enhance CX through the development of an ease-to-use chatbot which is embedded in everyday messaging applications of consumers. A significant association was also found between perceived benefits of chatbot banking and CX. This study informs the development of competitive advantage by banks and other related companies through AI-based CX management strategies. In times of pandemics and beyond, chatbot banking can be very instrumental in improving CX.

This study aims to synthesize and integrate findings from diverse research on the antecedents and moderators of customer loyalty in the banking sector. Through a comprehensive meta-analysis, the research seeks to understand the primary drivers of bank loyalty and the potential cultural, economic and social indicators that might influence these relationships.

A rigorous meta-analysis was conducted, analyzing 275 studies with 1,365 effect sizes involving over 134,000 bank customers from more than 50 countries. The research evaluated the effect sizes of the main relationships between loyalty antecedents and consequences and assessed the influence of cultural, economic and social moderators.

The study identified key antecedents of bank loyalty, with responsiveness, privacy, commitment, trust and empathy being paramount. Cultural dimensions, such as individualism and masculinity, significantly moderate the relationships between trust and loyalty. The human development index (HDI) was also identified as a significant economic moderator, particularly influencing the relationship between satisfaction and bank loyalty.

This research offers a holistic view of bank loyalty, bridging gaps from conflicting findings in prior literature. Examining a vast array of studies across diverse cultural and economic contexts provides empirical generalizations about bank loyalty behavior, offering valuable insights for academia and the banking industry.

This study aims to examine the effect of e-customer relationship management (e-CRM) on customer e-loyalty through e-service quality and e-satisfaction. This study also examines how customers’ e-loyalty affects their willingness to recommend a banking service.

A total of 372 private bank customers from Chattogram, the second largest and only port city of Bangladesh, were chosen using a convenience sampling technique. Structured equation modelling was used to analyse the data.

E-CRM positively impacts e-service quality, customer e-satisfaction and customer e-loyalty. The association between e-CRM and customer e-loyalty is sequentially mediated by e-service quality and e-satisfaction. E-loyalty has a significant influence on willingness to recommend a banking service.

The findings will help Bangladeshi banks boost the number of prospective customers implementing e-CRM. In addition, mediators between e-CRM and e-loyalty provides managers a new insight on willingness to recommend a banking service.

The sequential mediation effect of e-service quality and customer e-satisfaction on the connection between e-CRM and e-loyalty represents the unique contribution and enriches the present e-CRM literature, particularly in the Bangladeshi private banking sector.

This study aims to analyze the mediating effect of brand love (BRL) on the relationship between service quality and brand addiction (BRA) among Islamic banks. Past studies have noted that customer satisfaction as the primary means of studying customer behaviour needs to be reconsidered because even satisfied customer switch brands, and the dissatisfied customer have repurchasing intentions. Therefore, considering BRL and BRA can be a new way of studying customer behaviour in Islamic banking.

This study used a structured questionnaire administered to 380 customers of Islamic banks. The study used structural equation modelling and Process Macro test in the analysis.

The empirical findings of this study suggest that service quality is positively and significantly related to BRL and that BRL positively and significantly relates to BRA. Furthermore, the findings indicate that BRL mediates the relationship between service quality and BRA.

The findings of this study have revealed that the triangular theory of love and expectation-confirmation theory can be combined to explain the relationship between service quality and loving relationships among customers of Islamic banks.

The study provides ways in which service providers can use service qualities to manage BRL and addiction. Based on the positive and significant relationships, managers of Islamic banks can build service qualities that are vital for creating BRL and BRA.

The link between service quality, BRL and BRA is not adequately established, especially in Islamic banking. This is important to be established because studying consumer psychology is currently considered a vital strategy for customer repurchasing and switching barriers in the modern banking business. Furthermore, integrating two theories, the triangular theory of love and expectation-confirmation theory, provide a new way of combining two theoretical aspects from different disciplines.

The purpose of this study is to examine the effects of banking innovations (INNs) on customer experience (EXP), satisfaction (SAT) and loyalty (LOY).

The author evaluated the data using a structural equation method-artificial neural network (SEM-ANN) method. The author’s results show the presence of relationship between INN, EXP, SAT and LOY. In this study, the node layers of ANNs add an input layer, hidden layers and an output layer. Each “node” acts as an artificial neuron that communicates with others. The ANN model takes the variables from the SEM analysis as input neurons.

The author observed the significant effects between INN, EXP, SAT and LOY using the normalised importance generated by the multilayer perceptron used in the feed-forward back propagation of the ANN methodology. In this study, the ANN model can predict LOY through service innovation, with a forecast accuracy of 77.6%.

By applying neural network modelling, this research helps us understand how service innovation affects customer behaviour. For the first time, the author examined service innovations' direct and indirect impact on loyalty through EXP and SAT. The author made a significant conceptual contribution by using a non-compensatory model of ANNs to circumvent the limitations of linear models.