Indian Banking Sector

Indian Banking Sector: Challenges and Opportunities

Crm Scale Development & Validation in Indian Banking Sector

The aim of this paper is to develop a reliable and valid CRM (Customer relationship management) scale specifically catering to Indian banking sector. An exhaustive review of literature on CRM was followed by depth interview and questionnaire survey. Exploratory factor analysis was followed by confirmatory factor analysis, which was presented in three forms; the single factor model, covariance m...

Data Envelopment Analysis with Sensitive Analysis and Super-efficiency in Indian Banking Sector

Data envelopment analysis (DEA) is non-parametric linear programming (LP) based technique for estimating the relative efficiency of different decision making units (DMUs) assessing the homogeneous type of multiple-inputs and multiple-outputs. The procedure does not require a priori knowledge of weights, while the main concern of this non-parametric technique is to estimate the optimal weights o...

Measuring banking sector outreach

• A well developed financial system is necessary for economic development and poverty alleviation (Beck, Demirguc-Kunt and Levine 2004 and Honohan 2004a). The empirical relationship between finance and growth is well established in theoretical literature, as surveyed by Levine (2005). Financial market imperfections are particularly binding on poor or small entrepreneurs lacking collateral, cred...

Measuring banking sector development

Conventional measures of banking sector The traditional indicators utilized for assessing the size, depth and development of a country’s banking (financial) sector are: • The ratio of M2 to GDP • The ratio of private credit to GDP. In particular, both these measures have been used to show the causal effects of financial development on economic growth. However, both measures have some limitation...