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

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

Neetima Agarwal, Neerja Pande, Vandana Ahuja
Copyright: © 2019 |Pages: 18
ISBN13: 9781522583561|ISBN10: 1522583564|EISBN13: 9781522583578
DOI: 10.4018/978-1-5225-8356-1.ch054
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MLA

Agarwal, Neetima, et al. "Expanding the Kirkpatrick Evaluation Model-Towards More Efficient Training in the IT Sector." Human Performance Technology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 1092-1109. https://doi.org/10.4018/978-1-5225-8356-1.ch054

APA

Agarwal, N., Pande, N., & Ahuja, V. (2019). Expanding the Kirkpatrick Evaluation Model-Towards More Efficient Training in the IT Sector. In I. Management Association (Ed.), Human Performance Technology: Concepts, Methodologies, Tools, and Applications (pp. 1092-1109). IGI Global. https://doi.org/10.4018/978-1-5225-8356-1.ch054

Chicago

Agarwal, Neetima, Neerja Pande, and Vandana Ahuja. "Expanding the Kirkpatrick Evaluation Model-Towards More Efficient Training in the IT Sector." In Human Performance Technology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1092-1109. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8356-1.ch054

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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.

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