Expanding the Kirkpatrick Evaluation Model-Towards more Efficient Training in the IT Sector

Author:

Agarwal Neetima1,Pande Neerja2,Ahuja Vandana1

Affiliation:

1. Jaypee Business School, Jaypee Institute of Information Technology, Noida, India

2. Indian Institute of Management, Lucknow, India

Abstract

The purpose of this paper is to investigate how the Kirkpatrick Learning Evaluation Model (1950) can be augmented to make it more credible and successful evaluation parameter in the changing times. Since the advent of Information Technology industry the rigid structures of organizations are replaced by the Flat/Matrix structures, removing the bars of time and place. This paper is an attempt to include three gaps identified in the Kirkpatrick Model, Training motivation, Organization citizenship behaviour and the Assessment of both the individual and the Organization simultaneously. Through co-relation and regression analysis these gaps were tested on the data obtained from 461 employees. The data support the various relationships to be included in Kirkpatrick Model and it identifies that for an effective training program it's essential to perform both pre-training and post-training analysis using the four parameters of Kirkpatrick Model viz. Reaction (changed to Motivation), Learning, Behaviour (or Performance) and Results.

Publisher

IGI Global

Subject

Management of Technology and Innovation,Computer Science (miscellaneous)

Reference47 articles.

1. Knowledge and skill requirements for entry-level information technology workers: A comparison of industry and academia.;C. L.Aasheim;Journal of Information Systems Education,2009

2. KIRKPATRICK'S LEVELS OF TRAINING CRITERIA: THIRTY YEARS LATER

3. A META-ANALYSIS OF THE RELATIONS AMONG TRAINING CRITERIA

4. An Integrated Model of Training Evaluation and Effectiveness

5. Impact of the technological environment on programmer/analyst job outcomes

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