A 'peer reviewed' journal indexed on Cabell's Directory,
and also distributed by EBSCO and Proquest Database
It is a quarterly journal that focuses on Risk management, Forex markets, Retail banking, Banking-supervision and Regulatory mechanisms, Convergence of financial services and E-Banking, HRM banking, ICT in rendering banking solutions, Blockchain and Cyber security.
The Moderating Impact of Gender on the Determinants of Behavioral Intention Towards Internet Banking in India
The purpose of this paper is to empirically investigate the moderating impact of gender on perceived usefulness, perceived ease of use, attitude towards internet banking, benefits of internet banking, hindrances, as well as the influence of demographic variables on behavioral intention of the customers in the Indian internet banking context. A structured questionnaire was administered to collect data from 350 users of internet banking, representing a cross-section of population in terms of gender, age, education, occupation and income. A three-step hierarchical regression was employed to test the proposed research model. The measurement scales were tested for internal consistency of the data through various reliability and validity procedures. The results of this study suggest that the moderating effect of gender on the variables of perceived ease of use, perceived usefulness, hindrances and the demographic factor of the users, namely, age, is statistically significant. The present study would assist the marketing managers of internet banking to have an augmented understanding of the dimensions that encourage in embracing internet banking usage. The study contributes to the existing literature by exploring the dimensions in persuading the consumers' readiness to accept the usage of internet banking services moderated by gender differences, in the Indian context.
An Empirical Study of Transaction Patterns of Salaried Class: Cashless Versus Cash
With rapid technological changes in banking domain post demonetization in India, cashless payment has become a part of daily vocabulary. Cashless transactions primarily involve online transfer of money to another bank, online third party payment, Point of Sale (POS) payment through card, payment through wallet and several other types of online transactions. RBI releases the macro level transaction details of banking sector both in terms of numbers and monetary value on a monthly basis, but this data do not capture micro level or individual account transaction patterns which are also important to understand the cashless behavior of the society. This study captures and explores monthly transaction patterns of salaried employees using internet banking and their cashless usage behavior. The study has been carried out through a survey of transactions in bank accounts of 50 respondents from Dehradun city. The pattern of transactions is studied for its correlation with demographic profile of the respondents. Cash usage is found to be 42%, and higher usage of cash is reported in the age group of 20 to 30 years and in the income group of 10K to 30K. Maximum cashless transactions are carried out for online transfers, shopping and bill payment. Cashless transactions involving POS usage are found to be comparatively less in monetary value. As the study is exploratory in nature, a few areas for further research on cash versus cashless usage societal behavior have also been suggested.
Application of Excess Return Model in Valuing Public Sector Banks of India: An Empirical Study
The main purpose of the paper is to empirically estimate the value of equity in the case of public sector banks of India using excess return model. The paper also attempts to identify the key driver of value of equity among these banks. A sample of 11 public sector banks included in NIFTY PSU Bank Index was selected for the study. The study covered a time period of ten years ranging from 2007 to 2016. All the financial data pertaining to the banks was culled from CMIE Prowess software. One sample t-test and F-test were applied to test the significance of the value of equity of each bank and the entire sample, respectively. To identify the key driver of value of equity, a stepwise multiple regression was run between the dependent variable and a set of independent variables. The results of the study highlight that none of the 11 banks registered positive mean value of equity during the study period. The results are same for the entire sample. The study reveals that return on net worth is the positively significant predictor of the value of equity. On the contrary, stock beta, shareholder return, and operating profit to working funds ratio are negatively significant. The chief implication of the study is that higher return on net worth leads to increase in the value of equity of the banks.
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