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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.

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.