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The purpose of this study is to examine the effect of innovation in e-service delivery on trust and loyalty of Indian customers in the banking sector.

The stated relationships were drawn on the grounded theories by developing a conceptual model. Purposive sampling technique was used to collect the data from 400 bank customers who were availing the e-innovation services.

The findings of the study reveal that e-service innovation has a direct impact on e-service delivery and trust. The existence of a positive relationship between e-service delivery, trust and loyalty in the banking sector of India has also been found.

The findings of the study would help the practitioners and experts in the related fields to understand and adopt the innovative management practices in financial services in developing country like India.

Continuous e-innovation can create a distinct competitive advantage and avert the risk of vanishing from the market. The study contributes in terms of e-service innovation and e-service delivery in the banking sector in India. The impact of e-service innovation on banking outcomes begins with e-service and trust, these factors positively influences e-service innovation. Furthermore, e-service innovation exerts a positive effect on e-service delivery, trust and loyalty, thereby improving organizational value.

In this study, the moderator effect of the use of big data by Turkish banks on the innovation performance of the intellectual capital components, human capital, structural capital, and relational capital is discussed.

In the research, 618 survey data applied to bank employees and weighted according to population in seven regions were used. The data were analyzed through the structural equation model.

According to the empirical results, intellectual capital components and big data usage explain 65% of the variance in innovation performance. It has been determined that the other two components of intellectual capital, except structural capital, have a statistically significant effect on innovation performance. According to the Standardized Regression Weights, one unit change in human capital affects innovation performance by 0.162, and one unit change in relational capital affects innovation performance by 0.244. In addition, a one-unit change in big data usage affects innovation performance by 0.480. It has been understood that the use of big data significantly affects the innovation performance of banks with a rate of 0.480.

Although this study is important, it could have been done with senior managers instead of being based on a survey. Instead of a survey, it could have been done with a data set taken from banks' balance sheets and tables. Additionally, the use of big data has been considered as a moderator but can be reconsidered as a mediator or external construct. Moreover, this study was conducted on a sample of participants working in the developing Turkish commercial banking sector. Therefore, the results of the study can be done in different countries and at different development levels.

The study is one of the first studies to examine the moderating effect of intellectual capital by considering its subcomponents in a developing country. In addition, it is thought that the results will contribute to managers, policy makers and researchers who want to increase competition and market share in the sector, as well as filling the gap in the literature.

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.

Given that Blockchain technology poses a growing challenge to the banking industry, this paper aims to analyse the innovation of Blockchain banking with regard to its systemic dimension, as well as dynamics of competition. The empirical research demonstrates how the systemic characteristics of Blockchain banking relate to the pursuit of strategies and to what extent these strategies influence the directional path and level of technology diffusion.

The research study uses a case study methodology to explore the strategic competition of Blockchain banking. The study proposes the systemic innovation model for analysing and tracking the path of innovations. The model can be applied to any industry to understand the process of innovation development and the strategies to win market share in the banking industry. This research makes a contribution towards the theory of technology diffusion to understand the directional path of innovations.

The analyses of findings reveal the situation whereby most banks still compete to create their own Blockchain banking systems. The analyses, based on the systemic innovation model, also shows the low systemic feature of Blockchain banking at present. From the technology diffusion perspective, the future of Blockchain banking may need cross-chain interoperability to support a full spectrum of payments and value exchanges on the internet of things.

The main contribution of this paper is the systemic analysis of the latest innovation of Blockchain banking. Given that the research also includes the major banking innovation cases of ATM/cash cards, credit cards and electronic fund transfer at the point of sale/debit cards, the comparative analyses offer strategic insights to predict the progress, as well as pattern of technology development and diffusion for the case of Blockchain banking.

This study aims to investigate the factors affecting technological innovation intentions at banks listed in Vietnam, a developing country, to develop business activities and accounting benefits according to the trend of the 4th Industrial Revolution.

To collect and analyze the data for this study, qualitative and quantitative methods were used. Specifically, 20 finance and banking experts and 45 managers in the field of information technology were interviewed in qualitative research over a period of three months. Then, 1,000 questionnaires were sent to banks within six months, with the final sample for quantitative research being 324 respondents. Finally, the structural equation modeling (SEM) was used to check the hypotheses. Regarding the tools used, the qualitative study used a semistructured questionnaire to collect information. Meanwhile, SPSS software was used to analyze quantitative research information, including checking common method bias, nonresponse bias, evaluating scale quality and checking SEM.

The findings show that the usefulness, ease of application, credibility, innovation and efficiency of technology have certain impacts on technological innovation intentions at banks listed in Vietnam. Using the SEM analysis, the results showed that the five factors had a favorable influence on the technological innovation intentions. More specifically, this study proposed adding an efficiency factor, and the results showed that it has the greatest impact on technological innovation intentions.

This study would be considered a continuation of prior studies because it provides empirical evidence for business models at banks listed in developing countries (for example, Vietnam) and so provides useful advice for bank management not only in Vietnam but across Asia. In fact, bank managers should consider introducing new technology as appropriate to make their reports more clear and up-to-date, therefore improving their performance. Banking managers, in particular, should focus on enhancing the bank’s application technology indicators to obtain a competitive edge.

This is a pioneering study that uses a combination of the reasoned action theory, planned behavior theory, transaction cost theory and unified theory of acceptance and use of technology to expand knowledge about technological innovation intentions at listed banks in the context of a developing country. The study also discovered and added the efficiency factor as a key factor affecting the intention to innovate technology at listed banks. These contribute to improving the literature of technological innovation intentions.

This chapter addresses the issue of value creation in the retail banking sector, focusing on France. The author shows that since the 2007 financial crisis, banking organizations have used a disruptive innovative approach to regain the trust of retail banking customers. This innovative hybrid design is not only driven by efficiency and fully dematerialized solutions, but also considers human, social, and territorial development aspects.

This chapter is based on an EU statistical analysis (2009–2013) of two strategies used by French, Italian, and German national banks to manage the 2007 financial crisis: closing retail bank branches and lay-offs. Interestingly, in France, bank units and employee numbers fell the least. A complementary qualitative analysis of the principal banking innovations promoted by R&D directors helps to explain the main features of the French strategy to cope with the mistrust of clients and employees.

Though low-cost models are promoted as major innovations today (“banking is necessary, bankers are not”), and result in massive offshoring and restructuring levels to face new global competitors such as Google, Amazon, and PCCW-HKT, the French retail banking sector, previously state regulated but progressively deregulated, has adopted an original strategy to regain trust and loyalty. Rather than adopting these low-cost models strictly, with full dematerialization, it focuses on balanced innovation – such as the “neighbourhood bank format,” which improves knowledge of the expectations and needs of local clients and environments. These solutions are not only global or local, but a mix of both dimensions.

Global industries like finance are embedded in both territorial and historical relationships and governance. This means that they can only be observed from this dual perspective, which is a dilemma that characterizes today’s economy. Innovation decisions and design particularly illustrate the banking sector’s embeddedness, with the dichotomy between fully digitalized options and fully territorialized services. Therefore, innovation is neither a “Champion” or leadership question, nor a mere ICT option. It is a hybrid combination to restore trust and relations.

The implications of such a balanced approach to innovation are highly important in terms of offshoring, lay-offs, and outsourcing practices, which are adopted as essential, and taken for granted by owners and CEOs in global value chains such as finance.The given data and analysis give concrete means to integrate local cultural and institutional habits, so that innovation make sense to stakeholders.

This chapter suggests a critical approach to innovation strategies and trends in the finance sector.

This chapter examines why the central banks might need to engage in innovation work. Externalities and public good rationales for innovation at central banks are examined. This chapter then looks at different tools such as sandboxes, innovation hubs and TechSprints that the central banks might use to promote innovation with external stakeholders, and how the central banks can promote internal innovation within the central banks. Governance issues related to innovation promotion are also examined.

To effectively meet their social objectives, humanitarian organizations need to be more innovative and find novel ways to stay competitive. Yet there has been limited focus on innovation by humanitarian organizations. Part of the issue is the lack of new practices and novel approaches that can be used as benchmarks. This study focuses on food banks, a critical hub for the delivery of food in humanitarian supply chains and where the use of innovation seems to be more reported on.

Focusing on resource scarcity, a commonly referenced constraint by humanitarian organizations, the authors study how food and fund scarcity (versus abundance) influence the innovation efforts of twelve food banks in the United States. This study observes variations in behavior before and during the coronavirus disease 2019 (COVID-19) pandemic.

The authors find that food banks operating in high resource scarcity (food-scarce and fund-scarce) settings focus on process innovations. Food banks operating in low resource scarcity (food-abundant and fund-abundant) settings focus on product innovations. Food banks operating in food-abundant and fund-scarce settings focus on marketing innovations. Food banks operating in food-scarce and fund-abundant settings show the most extensive focus on innovation by relying on imitative innovations. The innovation focus for most food banks switches to process innovation during the COVID pandemic.

The study breaks down resource scarcity specific to food banks by differentiating food and funds, a novel approach to studying scarcity. Findings are novel as they suggest that operating context has a highly differentiating effect on what food banks focus on in terms of innovation. Operating context can lead to focus on process, product, imitative of market-related innovations. Finally, the study is novel because it explores how change in the environmental context due to disruptions can drastically modify the innovation focus of food banks.

The purpose of this paper is to investigate innovation resistance among mature consumers in the mobile banking context. The reasons inhibiting mature consumers' mobile banking adoption were compared to those of younger consumers.

Following Ram and Sheth, resistance was measured with five barriers namely Usage, Value, Risk, Tradition and Image barriers. An extensive internet survey was implemented and 1,525 usable responses were collected, of which 370 respondents (24.3 percent) represented the mature consumer segment (age over 55) and 1,155 respondents (75.7 percent) represented the younger consumers.

The empirical findings indicate that the value barrier is the most intense barrier to mobile banking adoption among both mature and younger consumers. However, aging appears to be related especially to the risk and image barriers; the most significant differences between mature and younger consumers' perceptions of mobile banking were related to input and output mechanisms of information, the battery life of a mobile phone, a fear that the list of PIN codes would be lost and end up in the wrong hands and the usefulness of new technology in general.

The study has practical implications to marketers in different fields in that strategies to overcome resistance to innovations like mobile banking are discussed.

Innovation resistance can be seen as a less developed concept in adoption research. While the majority of studies have focused on the success of innovations and reasons to adopt, this study empirically investigates the reasons preventing innovation adoption.

The purpose of this paper is to examine the mediating role of innovation on the relationship between organizational culture and firm performance.

Data for the study were collected through a survey from 154 branches of ten prominent banks in Turkey and responses were analyzed to assess the relationships between organizational culture, firm performance and organizational innovation.

The findings reveal that in the banking sector, although organizational culture and innovation have a direct and positive effect on the firm performance dimensions, organizational culture was found to have an insignificant regression coefficient on the dimensions of firm performance in the presence of organizational innovations.

These findings provide useful insights for organizations, particularly in the banking industry, seeking to be competitive and responsive to environmental changes by successfully introducing innovations. Conclusions emphasize that mechanisms to encourage and foster an innovative culture in the organization are likely to facilitate the introduction, adoption and diffusion of innovations which, in turn, is likely to result in achievement of superior firm performance.

Organizational culture has been studied in the literature as one of the characteristics impacting the firm's performance. But there is a paucity of research which models and empirically studies the relationship between organizational culture and the firm performance. In addition, several researchers have studied organizational innovation as a driver of firm performance but fewer researchers have studied organizational innovations as being impacted by organizational culture. In this study, the paper examines the relationship between organizational culture and firm performance and the role of organizational innovation in this relationship. This research makes an important contribution to the existing literature by empirically examining the relationship between organizational culture, innovations and firm performance.