In this study, we examined the influence of users’ experiences with the unified payments interface (UPI) system on the usage behavior of central bank digital currency (CBDC) in India. Our research developed a novel conceptual framework that investigated the relationships between technology, cognitive factors, and behavioral intentions towards CBDC use. The framework integrated UPI usage experience as a moderator within existing models of behavioral intentions and use behaviors. We collected data through a survey conducted in major Indian cities during the pilot launch of CBDC. By utilizing a partial least squares structural equation model (PLS-SEM), we analyzed the proposed model and the relationships between the constructs. Our findings revealed the significant impact of hedonic motivation and performance expectancy on users’ behavioral intentions towards CBDC. Social influence also played a significant role in CBDC usage. Furthermore, we identified that prior UPI usage negatively moderated the relationship between performance expectancy and behavioral intention, as well as the relationship between social influence and use behavior. However, prior UPI usage did not significantly moderate the relationships between perceived risk, hedonic motivation, behavioral intention, and use behavior. These findings contribute to our understanding of the factors influencing CBDC adoption and usage behavior in India.

This study investigates the attributes influencing the adoption of fintech services for sustainable investment within the blue economy. Specifically, it integrates the Diffusion of Innovations (DOI) theory and the Technology Acceptance Model (TAM) to examine how the perceived relative advantages, compatibility, complexity, trialability, and observability of fintech services influence their perceived ease of use and perceived usefulness, and it explores their impact on the intention to adopt fintech services. Finally, the study assesses how the intention to adopt fintech services affects sustainable investment decisions in the blue economy. Data were collected from 224 stakeholders in the blue economy sectors in India during the summer of 2024 and analyzed using structural equation modeling with partial least squares (SEM-PLS). The results reveal which attributes significantly influence perceived ease of use and perceived usefulness. Additionally, perceived ease of use and perceived usefulness significantly influence the intention to adopt fintech services. The intention to adopt fintech services positively impacts sustainable investment decisions in the blue economy. This study provides a comprehensive framework for advancing fintech services that support sustainable investment decisions, thereby contributing to the growth of the blue economy.

In this chapter, using a combination of the expectation-confirmation theory (ECT) and the latent variable model, the authors have analyzed what factors contribute to one's intention to continue usage with conformation, performance expectancy, and satisfaction. Based on a sample of 678 smart wearable users, collected from Northern India, the authors have used structural equation modelling (Smart PLS4) and identified the impact of satisfaction post-adoption technology, willingness to pay a premium price, and health information accuracy on the continuing intention of smart wearable users. According to the findings, consumer satisfaction, health information accuracy, and willingness to pay the premium price are key variables that have a substantial impact on the long-term purpose to repurchase and use smart wearables. This study has many implications for smartwatch manufacturers and designers looking to increase users' intent to continue using their products.

The study aims to determine the impact of quality outcomes on behavior intentions in Financial Technology (FinTech) payment services. The study is focused on the development and testing of the impact of the SERVQUAL model on the TAM, i.e., Technology Acceptance Model for the measurement of the behavioral intention of users to use fintech payment services. The sample entails 578 specific survey responses from northern India from October to December 2022. The respondents were users of FinTech. The PLS-SEM technique was employed to explain the implementation process. Consequently, it discovered a significant relationship between the SERVQUAL models and the impact on behavioral intentions identified by TAM. The study will provide insight into the factors that impact the quality outcomes and adoption of Fintech payment services to the providers. The paper demystifies FinTech payment services in the range of perception of service quality outcomes and provides essential theories. The TAM model reflects the customer’s sense of satisfaction, usefulness, and attitude. In contrast, the SERVQUAL model demonstrates the user’s assessment of service quality outcomes such as quality, trust, security, and service quality positively affects behavioral intention in FinTech payment services.

CSR activities presently spread across a wide scope of zones including environmental protection and biological protection. As per Section 135 under Schedule VII of Companies Act (2013) in Indian context, it furnishes that each organization in India with a total asset holding exceeding or equals to ₹five hundred crore rupees or an annual sales of exceeding or equals to ₹1000 crores rupees or a net profit of more than or equals to ₹5 crore rupees for any one financial year is required to establish a Corporate Social Responsibility Committee. Using the sample of BSE listed corporates across several industrial sectors in India, the objective of the study is to investigate whether there is an improvement in the corporate social responsibility scores of companies over the predetermined time range (from 2014-15 to 2019-20). Application of paired samples t-test as to test whether the mean difference between two groups is significantly different from zero indicates interesting CSR based outcomes for the items designed under CSR checklist. The derived findings were also found to be robust to the application of non-parametric statistical testing technique. It has generated suitable research insights for the academicians and policy makers of Indian corporate sector and will facilitate them to establish appropriate CSR norms to be applicable in India

Green finance and responsible investment are gaining importance within the scope of sustainable development goals (SDGs). This chapter explores how important green finance is to improving the sustainability performance of Indian commercial banks. The study looks at how social, economic, and environmental aspects of green finance, such as green financing techniques, environmental risk management, and economic characteristics, affect sustainability performance. Information is acquired from primary sources through surveying and interviewing influential figures in the financial sectors with 392 respondents in New Delhi using a sampling (non-probabilistic) approach. The results highlight the possibility for financial institutions to promote favorable environmental outcomes while guaranteeing long-term economic viability, shedding light on the considerable impact of green finance's social, economic, and environmental components on sustainability performance.