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Due to the increased pollution and global warming, the banking sector is also implementing green practices in their operations to improve business ethics. However, there are few studies that have looked at how green practices affect performance outcomes. Considering this, the study aims to examine the impact of green banking adoption practices (GRBP) on consumer-related performance outcomes (i.e. consumer green satisfaction, consumer green perceived quality, consumer green trust, environmental friendliness and continuing relations with bank). The study used resource-based view theory and triple bottom line in connecting GBRP and consumer-related performance outcomes.

The data was gathered via a Likert scale questionnaire from banking personnel and consumers using a non-probability purposive sampling technique. The data of GRBP was collected from the banking employees, whereas the data for consumer-related performance outcomes were gathered from the banking consumers, and “Partial least square-structural equation modeling” (PLS-SEM) was used to examine research hypotheses.

The results of PLS-SEM reveal that GRBP positively affects consumer green trust, green perceived quality and green satisfaction. However, GRBP does not have any impact on environmental friendliness. The results further reveal that GRBP largely affects consumer green trust followed by green perceived quality and green satisfaction, respectively. Moreover, consumer green perceived quality, green trust and environmental friendliness positively affect the continuing relationship with the bank.

To the best of the authors’ knowledge, this is the first study in the context of green banking, i.e. two-dimensional, as it examines the impact of GRBP on consumer-related performance outcomes and confirms that GRBP enhances consumer-related performance outcomes. The findings of the study provide numerous insights to bank managers, environmentalists and policymakers.

The paper aims to craft a non-parametric composite value for the board quality of Indian banks where the weights can be assigned endogenously.

The study employed a non-parametric data envelopment analysis (DEA)-based novel extension known as the benefit of doubt approach. To measure the strength of the Indian bank corporate board in terms of board efficiency (BEF), the study used a mixed approach, i.e. first, the study calculates the percentile ranks of the five attributes that the study assumes are the characteristics of the strong board including board size, number of outside directors, frequency of meetings, non-duality leadership and board gender diversity. Thereafter, the study performs the benefit-to-doubt approach to finally measure the efficiency of the board.

The findings of the study establish that the methodological framework present in the study to measure the strength of the board in terms of BEF has been a much superior method over the other weighted and non-weighted linear average methods.

This methodology aids the shareholders, investors and regulatory bodies in rating the Indian banks based on their strength in terms of better monitoring boards and ensuring a smooth agent–owner relationship.

The benefit of doubt approach has been a unique and novel methodology to craft the composite value for any multidimensional phenomenon. One of the major benefits of using this approach is that it assigns the weights endogenously to each dimension and thereafter collectively determines the efficiency of such a phenomenon.