Determinants Of Banking Outreach: An Empirical Assessment Of Indian States

An Empirical Assessment of Internet Banking Systems

This paper examines the use of Internet banking systems and several critical factors related to Internet banking services. The analysis suggests that the constructs tested considerably explain the variation in customer interactions. Perceived usefulness and perceived ease of use are important in facilitating customer interactions. Perceived security, responsiveness and convenience also represen...

An Empirical Investigation of the Determinants of Users Acceptance of E-banking in Singapore: Based on Technology Acceptance Model

Singapore is depicted to be the fastest growing telecommunications nation in Asia. Presently, all the members of the Singapore banking industry have engaged in the use of Information and Communication Technology as a platform for effective and efficient means of conducting financial transactions. This paper focuses on determining the level of users’ acceptance of the electronic banking services...

Determinants of Financial Literacy and Use of Financial Services: An Empirical Study amongst the Unorganized Sector Workers in Indian Scenario

The present paper aims to identify the effect of demographic and socio-economic variables on financial literacy and its impact on the use of financial services. For this study, primary data are collected from 400 unorganized sector workers of Paschim Medinipur district, also an economically development lagger in the state of West Bengal of India. The logit regression result shows that the main ...

Diffusion of Information Communication Technology across Indian States and its Determinants: An Empirical Analysis

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...