Asian Journal of Managerial Science (AJMS)
Factors Identification of Banking Penetration and Financial Empowerment: Application of Confirmatory Factor AnalysisAuthor : R. Mohammed Abubakkar Siddique and M. Selvakumar
Volume 8 No.2 April-June 2019 pp 108-113
Banking plays a very important role in the development of the economy. In order to develop the rural areas various schemes were introduced by the government of India and Reserve bank of India. The people must make use of those schemes. Banking penetration must be followed by the customer behavior towards the banking products and services. This customer behavior leads to the financial empowerment of the people which enhances the financial planning, financial awareness and financial literacy. This paper studies about the identification of the factors assigned for the variables of banking penetration, customer behavior and financial empowerment of the rural people.
Banking Penetration, Customer Behavior and Financial Empowerment
 Dhananjay Bapat (2010). Perception of the banking services in rural India: An empirical study, International Journal of Rural Management, 6(2), 303 – 321.
 Anurag B. Singh., & Priyanka Tandon (2012), Financial Inclusion in India: An Analysis, International Journal of Marketing, Financial Services & Management Research, 1(6), 41 – 54.
 Seema Malik (2014). Technological Innovations in Indian Banking Sector: Changed face of Banking, International Journal of Advance Research in Computer Science and Management Studies, 2(6), 122 – 128.
 Sangeeta Gupta (2017). To measure the levels of financial literacy among individuals of Delhi, Paripex – Indian Journal of Research, 6(1), 833 – 837.
 Dhanavelpandi. V & Revathi Murali(2017). Indian Retail Banking Industry: Opportunities & Challenges, International Journal of Current Engineering and Scientific Research (IJCESR), 4, 30 – 35
 Krishna A. Goyal & Vijay Joshi (2012), Indian Banking Industry: Challenges and Opportunities, International Journal of Business Research and Management (IJBRM), 3(1), 18 -28.
 Hu & Bentler (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling, 6, 1-55.