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

Author:

Agarwal Neetima1,Pande Neerja2,Ahuja Vandana1

Affiliation:

1. Jaypee Institute of Information Technology, 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

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

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3