Green banking has evolved in the financial sector to reduce the negative impact of economic progress. However, customers’ behavior remains indifferent towards bank’s green initiatives across nations. Therefore, this study examines the various factors affecting the behavior of Indian banking customers towards green banking by extending the theory of planned behavior (TPB). The study employed a quantitative research approach and distributed a self-administered questionnaire. Data from the 293 green banking service users in India’s Delhi-National Capital Region (NCR) have been collected using purposive and snowball sampling techniques. SPSS 26 and SmartPLS 3 were used to analyze data. The findings explained that environmental concern substantially predicts customer attitude, subjective norms and perceived behavior control towards green banking. Moreover, all the constructs within the TPB model were found to substantially impact customers’ inclination to adopt green banking, thereby leading to actual behavior. Academically, the findings have broadened the TPB model’s application by adding a new construct in the context of green banking while confirming its applicability. Practically, it advises financial regulators and banking personnel to prioritize establishing a conducive environment for customers, characterized by the accessibility of green banking services under favorable conditions and at affordable rates. The study enhanced the understanding towards green banking by correlating different variables and extending the TPB model using SmartPLS 3 in the domain of green banking.

This study aims to extend the theory of planned behavior (TPB) by incorporating perceived benefits (PB) as important factors influencing Indian customers’ attitudes (AT) and behavioral intentions (BI) towards green banking, with gender and preferred bank type as moderating variables. Quantitative research was utilized to gather data from 298 public and private sector bank customers in India’s Delhi-National Capital Region. The data were evaluated using SPSS and SmartPLS. Moreover, the SmartPLS multi-group analysis (MGA) technique was used to examine the moderating influence of gender and preferred bank type between the constructs. The findings presented that the PB has an indirect and positive impact on the customers' BI, and the AT serves as a perfect mediator between PB and BI. Moreover, through MGA, a gender difference was observed between PB and AT and preferred bank type moderated the association between AT and BI, with a strong effect shown among customers of public sector banks. The findings are helpful for the regulators and senior banking officials to evaluate the areas in which banks need to integrate sustainability into their operations. It also facilitates the task for policymakers, as they can apply the findings of this study to a particular customer group and gender. The study is the first of its kind to compare the behavior of public and private sector banks’ customers towards green banking using the MGA technique.

This study aims to recognize and analyze factors affecting consumers’ adoption of green banking. These identified factors are organized into a hierarchical structure to establish a contextual interconnectedness between them through the application of the interpretive structural modeling (ISM) technique. Through an extensive review of the literature and experts’ opinions, this study identified 13 influential factors. Using the dual approach of ISM and Matrice d‘Impacts Croisés Multiplication Appliquée à un Classement (MICMAC), this study delves into the interrelationships between these factors in terms of their driving and dependence power. The ISM model highlights customer guilt and attitude as crucial factors with high driving power, which amplify other factors. Behavior intention is positioned at the top of the hierarchy due to its highest dependence power. On the other hand, perceived value, environmental concern and perceived consumer effectiveness are higher-level factors directly impacting customers’ behavior intention toward adopting green banking. The results of this research may help banking institutions in strategically allocating their resources toward key areas that can amplify the uptake of green banking among customers. Moreover, it also suggests policymakers to implement incentives to encourage banks and customers to adopt green banking practices. To the best of the authors’ knowledge, this study is the first to adopt dual methodological approach to identify the influential factors from literature review and expert opinions and model their impact on green banking adoption using ISM and MICMAC analysis.

The objective of this chapter is to perform a systematic literature review (SLR) of the academic research on green banking and finance adoption and suggest areas of research that require further exploration. Using the POWER and Theory, Characteristics, Context and Methodology (TCCM) frameworks, the 51 relevant articles from Scopus database (2005–2023) were reviewed, with a focus on bibliometric insights and a framework-based review. The findings reveal a significant surge in publications after 2020, with India, China and Pakistan emerging as the top contributors. The stakeholder theory emerged as the most commonly applied framework for studying green banking and finance adoption intentions. The study further classified the various factors affecting the adoption of green banking under three categories: customer-related, employee-related and industry-related. Based on these insights, a comprehensive conceptual framework and substantial directions for subsequent empirical studies are proposed. The study also emphasizes the need to incorporate more environmental theories into banking sector research and calls for more extensive empirical studies to explore domain-specific services. The findings are crucial for customers, policymakers and financial institutions, aiding efforts to mitigate climate-related risks and enhance sustainability in banking sector.

The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the information technology (IT) sector. To accomplish this, the authors rely on an abductive approach using a graph theoretic model, often called interpretive structural modelling (ISM). After conducting an in-depth literature review and using the Delphi method, the authors identified 12 factors (11 enablers and IWB as an outcome). The authors collected data through the Delphi approach by sending the questionnaire to 11 experts from academia and the IT sector who have extensive experience and knowledge relevant to the study. The authors then used the ISM method to analyse the relationships among these factors and understand their driving forces. Based on the ISM model and the Matrice d'Impacts Croisés Multiplication Appliquée à un Classement analysis, the authors have identified that inclusive leadership, proactive personality and knowledge creation ability are the variables with strong driving power but weak dependence. Conversely, IWB has strong dependence but weak driving power. These findings suggest that to foster IWB, the organisation should prioritise inclusive leadership, proactive personality and knowledge-creation ability to succeed in challenging times. The study’s findings contribute to the social exchange theory, which explains IWB in a dynamic setting. Additionally, the study helps address the significant concerns that most IT companies face during times of crisis. The study provides valuable guidance for managers and policymakers who are grappling with the challenges of improving IWB in the IT sector. This study is particularly relevant as the industry is currently navigating an economic recession and facing intense competition from other tech companies launching new products and services. This research holds great significance for top executives, line managers and policymakers in the IT industry. It sheds light on the relevance and importance of various factors facilitating millennials' IWB.