( ISSN 2277 - 9809 (online) ISSN 2348 - 9359 (Print) ) New DOI : 10.32804/IRJMSH

Impact Factor* - 6.2311


**Need Help in Content editing, Data Analysis.

Research Gateway

Adv For Editing Content

   No of Download : 153    Submit Your Rating     Cite This   Download        Certificate

AN EMPIRICAL STUDY ON KIRKPATRICK MODEL OF EVALUATION WITH RESPECT TO FINANCIAL INCLUSION TRAINING IMPARTED BY PRIVATE BANKS

    2 Author(s):  DR. V. NAGAJOTHI, M. L. MAYALEKSHMI

Vol -  9, Issue- 4 ,         Page(s) : 184 - 192  (2018 ) DOI : https://doi.org/10.32804/IRJMSH

Abstract

It is a known fact that economic and financial policy adopted by the Government of India also plays a vital role in deciding the direction in which the bank would progress. This being the case the recent focus of the government being financial inclusion, banks have also tried to impart training to its employees at every level so that it could easily achieve its r=target as spelt out to it by the regulatory bodies. This study is based on the Kirkpatrick Four-Level Training Evaluation Model provides the framework for measuring the effectiveness of training efforts of companies in an objective way.The results indicate that reaction of the trainees were positive. Secondly they have applied skills and knowledge which they had learnt from training. Thus the training has helped in improving their skills and enhancing their knowledge levels. It can be concluded that on all the four levels trainees have shown a positive opinion with respect to the effectiveness of the training imparted by banks.

1 Jintao Shi, Training and development [M], China institute of people press, Beijing, 2003, 1, pp. 138-148.
2 Jingwen Tian, Meijuan Gao, The research and application on artificial neural network algorithm[M], Beijing institute of technology press, Beiing, 2006, 7, pp. 162-180.
3 HomikK, Stinckxanl~M, WhiteH. Multilaye feedforward networks are universal approximations [J]. Neural Networks, 1998, (2), pp: 359-36.
4 Graham Francis, Matthew Hinton, Jacky Hollo-way, et al. Best practice benchmarking: a route to competitiveness [J], Journal of Air Transport Management, 1999 (5), pp.105-112.
5 F. Behloul, B. PF. Lelieveldt, A. Boudraa, et al, Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data[J], Patern Recognition, 2002, 35, pp.659-675.
6 Deyun Xiao, Rongda Chen, and Zongjun Wang, Performance Integration Evaluation of Investment Decision - making of Firm Based on Fuzzy Set and BP Neural Network[J], J of HUST.(Urban Science Edition), Wuhan, Sep.2005, pp.25-28.
7 Simon Haykin, Neural Networks A Comprehensive Foundation [M], New York: Prentice Hall. 2001..

*Contents are provided by Authors of articles. Please contact us if you having any query.






Bank Details