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The purpose of this paper is to analyze the organizational role stress (ORS) in employees of Allahabad Bank posted at Guwahati city serving at scale 1 and above up to the deputy general manager (DGM).

This study was carried out at different branches of Allahabad Bank located in the city of Guwahati, Assam. The respondents included assistant managers and DGM. The sampling technique used for data collection was non-probability sampling; the method used was convenience sampling. This study is exploratory as well as descriptive in nature. A questionnaire was distributed and collected personally by the researcher.

After an extensive literature review, it was the belief of the researchers that the employees of Allahabad Bank could be experiencing the effects of stress. On using the tools (mean, ANOVA, Correlation) on the dimensions of stress and demographic factors, the results were almost identical.

In the banking industry, every constituent of the occupational stress can be studied more thoroughly. More insight into the factors of stress can be brought into the spotlight through more research work. Academicians may shed light on new factors that are creating stress, but still remain unidentified.

This study can be extensively used in fields other than the banking industry such as hospitality, healthcare, insurance, etc. Stress gives rise to physical problems and health problems. It may also lead to psychological, behavioral and organizational problems. Stress adversely affects the productivity of the organization as employees experiencing stress may not perform up to their capability and according to the requirements of the organization. Awareness among people of stress and the reasons for its occurrence is a must to keep them healthy, happy and competitive.

This research is based on primary data collected from Udai Pareek’s ORS scale. The target sample was scale 1-5 employees of Allahabad Bank posted at Guwahati city. The literature review information and the work of other researchers are supported by due reference.

This study develops a multidimensional framework using data envelopment analysis (DEA) as a benchmarking tool to assess the performance of the commercial banks in India. Using the DEA approach, this study compares the relative performance of 35 banks against one another with 8 variables as the benchmark parameters. This study finds that most of the banks are consistently performing well over a period from 2005 to 2009. The study also shows the areas in which inefficient banks are lagging behind and how they can improve their performance to bring them at par with the efficient commercial banks.

The purpose of this paper is to estimate the economic (namely cost, revenue and profit) efficiency and its association with intellectual capital of 37 BSE-listed Indian banks over the period 2005–2018.

This study employs truncated Tobit regression to compute the relationship between intellectual capital and estimated cost, revenue and profit efficiency using Data Envelopment Analysis (DEA) for the 37 BSE-listed Indian banks within the panel data framework.

Estimates suggest that banks’ overall annual average cost, revenue and profit efficiency are 0.4466–0.7519, 0.4825–0.8773 and 0.4905–0.8803, respectively, during the sample period. Further, Tobit regression results indicate that the aggregate intellectual capital (value-added intellectual coefficient or Modified Value-added Intellectual Capital) has a positive but minimal impact on these efficiency parameters at 1 percent significance level for the overall sample as well as public sector banks. Among all the sub-components of intellectual capital, human capital, structural capital and relational capital have a positive and moderate impact on these efficiency measures for the overall sample. Control variables, particularly bank size, are significant drivers of the estimated efficiency of banks.

Findings suggest that banks should invest adequately to enhance their overall intellectual capital to further augment these economic efficiency measures in the long run.

This study computes cost, revenue and profit efficiency of 37 BSE-listed banks based on DEA followed by intellectual capital using the Pulic approach (1998 and 2000) and the Bontis (1998) approach in the first stage. Later, it examines the dynamics between the computed efficiency parameters and intellectual capital using Tobit regression within the panel data framework.

An inclusive financial system is essential to develop the country’s economy. A massive shift in financial inclusion was observed by the initiative of government to include financially excluded into the formal financial system by launching Pradhan Mantri Jan Dhan Yojana (PMJDY) in 2014. This paper aims to attempt to examine the efficiency of public sector banks in financial inclusion during pre and post introduction of PMJDY.

The data envelopment analysis is used to measure the efficiency of the banks towards financial inclusion for the periods, 2010–2011 to 2013–2014 as pre-introduction and 2014–2015 to 2017–2018 as post-introduction phase. For this study, supply-side parameters of financial inclusion considered as input variables and demand-side parameters as output variables.

The study finds that overall average efficiency towards financial inclusion increases significantly during post-phase, though all the public sector banks are not performing equally. There is a significant variation in efficiency level between them and even between the two periods. Further, there is a huge opportunity to enhance technical efficiency with the same quantity of input which will help to achieve the target of financial inclusion.

A comparative study between the two phases has taken place to analyse the impact of the scheme on the technical efficiency of banks. One of the notable innovativeness of this study is that, unlike most of the previous studies which are mostly theoretical and conceptual, the present study may place itself as a unique inquiry in the domain of efficiency review of public sector banks during pre and post introduction of PMJDY.

This study gauges the profitability and performance of Indian commercial banks under the technology advancements. In this study, the authors identified three domains that give advantage to banks due to technology incorporation, that is, increased sales revenue, reduced operating expenses, and increased employee productivity. The authors assess the effect of these domains on banks’ profitability and performance. This study is conducted for the period between the years 2003 and 2018 across 34 public and private banks for empirical analysis. The authors examined the impact of investment in technology on the profitability using panel data analysis and evaluated the long-term effect of technology investment using the vector error correction model. This study found that there is a mixed effect of technology spend on the profitability and performance of Indian banks, where private sector banks are more aggressive in technology investment as compared to the public sector banks. This study recommends an optimal technology-related strategy to gain improved productivity for the banking business, that is, planned technology reserves, customer awareness campaigns about technology-enabled products, and robust employee–customer motivation policy.

The purpose of this paper is to measure and evaluate the performance efficiency of 44 Indian commercial banks, out of which 26 banks belong to the public sector, and 18 banks are from the private sector for the period of 2008-2013.

The two-stage network data envelopment analysis (DEA) approach (i.e. variable return to scale and constant return to scale) is used for the measurement of performance in the Indian banking sector. To verify the robustness of the proposed study, sensitivity analysis is also performed.

A comparative study between public sector banks (PSBs) and private sector banks (PVBs) showed that latter being more productive compared to the former. The investigation highlighted that two banks are most efficient among the PSBs, and eight banks from PVBs are found to be most effective. On the other side, the performance of State Bank of Bikaner & Jaipur and Lakshmi Vilas Bank is discovered to be less significant from PSB and PVB category, respectively.

This study will guide the Indian banks to improve upon the factors in which they are lagging, for the improvement of their overall performance. The quality category parameters, i.e. quality of service, quality of equipment, are not considered due to unavailability of information in the output measures, and the methodology used for the study does not identify the causes or remedies for the inefficiency of the banks.

The developed DEA model would help the decision maker to take decisions on the issues related to the performance of the banks. This paper discusses very practical issues in an analytic manner.

This paper examines the impacts of technical efficiency and intellectual capital efficiency (ICE) on bank performance in India after controlling other bank-, industry-specific and macroeconomic variables.

The authors use secondary data on listed Indian commercial banks for the period 2005–2018. The authors use data envelopment analysis (DEA) technique-based Malmquist index (MI) to obtain technical efficiency and value-added intellectual coefficient (VAIC) model for computing ICE. System generalized method of moments (GMM) (SGMM) model in a dynamic framework is used to estimate the parameters, which takes into consideration issues of endogeneity, heterogeneity and persistence of bank performance. Further, the authors use quantile regression model to examine whether the impacts of covariates are homogeneous at different locations of the conditional distribution of bank performance.

The authors find positive impact of technical efficiency and negative influence of market concentration on bank performance. The results of the study support the efficient structure (ES) hypothesis (ESH). The authors observe positive influence of intellectual capital (IC) on bank performance, which indicates the relevance of intellectual resources in enhancing banks' value. Further, the results of quantile regression indicate that the impacts of technical efficiency and ICE are more pronounced at higher quantiles of the conditional distribution of bank performance.

This paper in the Indian context examines the influences of technical efficiency and ICE after controlling bank-, industry-specific and macroeconomic factors.

This paper aims to probe into the linkages between the corporate social responsibility (CSR) practices of banks and the cross-buying intentions of banking customers. Though the authors could not find any direct link between these two concepts on theoretical ground, but an effort has been made to identify the impact of CSR on cross-buying intentions through corporate reputation and relationship quality. Like other industries, the Indian banking industry has also witnessed a balance between its social-environmental responsibilities and its clearly defined economic responsibility to earn profit.

The universe for the present study constitutes the customers of the entire Indian banking industry. Considering the cost and time constraints, the study was limited to a sample of 347 public and private bank customers in the Rajasthan region based on the convenience sampling method. Data were collected using a structured questionnaire and analyzed through structural equation modeling. CSR measures included philanthropic and ethical responsibility.

Results revealed that corporate reputation and relationship quality both play a mediating role in the linkages between CSR and cross-buying intentions.

The study suggests integrating marketing strategy with its CSR strategies to encourage cross-buying intentions. While making the cross-selling agenda, they should bear reputation in mind because at the relationship development phase, customers generally rely on reputation than their evaluation of bank’s products for cross-buying.

This study is the first in marketing literature which relates the concept of CSR and the cross-buying.

There have been plans to merge UCO Bank with larger banks owing to its poor performance for many years. There were leaders in the history who had not been committed. The inadequate governance of the bank has been responsible for some of the major lapses. Mr. Arun Kaul took strategic initiatives and systematically strengthened the functioning of the board. It enabled the bank to turnaround and report profits in challenging economic conditions. The Bank is not yet completely safe and probably need strengthening of its competencies to emerging challenges.

The purpose of this paper is to appraise the efficiency, effectiveness, and performance of 27 public sector banks (PSBs) operating in India by using a two‐stage performance evaluation model.

Using the cross‐sectional data for the financial year 2006/2007, the technique of data envelopment analysis has been used for computing the efficiency and effectiveness scores for individual PSBs. The overall performance scores have been derived by taking the product of efficiency and effectiveness scores.

The empirical results reveal that high efficiency does not stand for high effectiveness in the Indian PSB industry. A positive and strong correlation between effectiveness and performance measures has been noted. Further, on the efficiency front, State Bank of Travancore appears as an ideal benchmark, while State Bank of Bikaner and Jaipur, and State Bank of Mysore emerge as ideal benchmarks on the effectiveness front.

The practical implication of the research findings is that in their drive to improve overall performance, Indian PSBs should pay more attention to their income‐generating capabilities (i.e. effectiveness) relative to their ability to produce traditional outputs such as advances and investments (i.e. efficiency).

This paper is perhaps the first to evaluate the performance of Indian banks by considering simultaneously the aspects of efficiency and effectiveness.