A comparative analysis of end‐user training methods

Author:

Kaplan‐Mor Neomi,Glezer Chanan,Zviran Moshe

Abstract

PurposeThe aim of this study is to evaluate effectiveness of several end‐user training methods during the deployment of a new information system in an Israeli financial institution.Design/methodology/approachFour training methods, namely, frontal (lectures), simulator (e‐learning), mentor (personal guidance), and hybrid (mix of the three aforementioned methods) were all compared in terms of the number of referrals to an online helpdesk following training sessions.FindingsA pair‐wise analysis to pinpoint the source of the differences between the various training methods indicates that all training methods are significantly different except for frontal and simulator and therefore an organization considering these two methods can select them indifferently. A combination of mentor and simulator was found to be significantly inferior to the frontal and simulator hybrid method.Research limitations/implicationsThe main limitation of the study is that evaluation was based on data associated with a specific organization, and thus external validity to other industries or countries is somewhat limited. Among other limitations are cross‐organizational differences in terms of: difficulty of calls, individual experience in the IS/IT area, and prior exposure to similar technologies.Practical implicationsAlthough this research does not recommend a specific training method, our findings suggest that deploying a new software system is a matter that requires early assessment by the organization and that the best results are obtained by employing the hybrid training approach.Originality/valueThe use of the number of referrals to an online helpdesk is a novel metric for measuring training effectiveness. The study also investigates the decline of the number of referrals over time.

Publisher

Emerald

Subject

General Computer Science,Information Systems

Reference57 articles.

1. Ahituv, N., Neumann, S. and Riley, H.M. (1994), Principles of Information Systems for Management, 4th ed., Business and Educational Technologies, Dubuque, IA.

2. Ahituv, N., Neumann, S. and Zviran, Z. (2002), “A system development methodology for ERP systems”, The Journal of Computer Information Systems, Vol. 42 No. 3, pp. 56‐67.

3. Ausubel, D.P. (1968), Educational Psychology: A Cognitive View, Holt, Rinehart & Winston, New York, NY.

4. Ballantine, J., Bonner, M., Levy, M., Martin, A., Munro, I. and Powell, P.L. (1988), “Developing a 3‐D model of information systems success”, in Garrity, E.J. and Sanders, G.L. (Eds), Information Systems Success Measurement, Idea Group Information Technology Management Series, IGI Publishing, Hershey, PA, pp. 46‐59.

5. Bandura, A. and Locke, E.A. (2003), “Negative self‐efficacy and goal effects revisited”, Journal of Applied Psychology, Vol. 88 No. 1, pp. 87‐99.

Cited by 5 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

1. Decoding ERP Training for Non-Technical Users: A Novel Algorithm-Driven Framework for Enhanced Training Effectiveness;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

2. The Creation of Users;International Journal of E-Health and Medical Communications;2018-04

3. Training delivery methods as source of dynamic capabilities: the case of sports’ organisations;European Journal of Training and Development;2017-05-02

4. Collective information structure model for Information Security Risk Assessment (ISRA);Journal of Systems and Information Technology;2015-05-11

5. Identifying Factors Influencing Hybrid Self-regulated and Collaborative Learning: Toward an End-User Training Framework;Advances in Information Technology;2013

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