Article 2025

The Impact of Perceived Training Effectiveness on Innovative Work Behavior in Work-Based Learning Programs: A longitudinal Quasi-Experimental Study

International Journal of Business and Society
Journal · Vol. 26 · Issue 2 · pp. 465-489
Abstract

This study investigates the relationship between perceived training effectiveness and innovative work behavior within the context of work-based learning programs. Using a separate-sample pretest-posttest quasi-experimental design, the study compared Innovative Work Behavior (IWB) across three groups: (1) a pre-training/control group; (2) a post-training group that filled the survey immediately after the training completion; and (3) a follow-up group that filled the survey after 3-12 months from their training completion. Data from 461 participants (227 pre-training, 126 post-training, and 108 follow-up) were analyzed using ANOVA and correlational methods. Results revealed a statistically significant increase in IWB from pre-training to follow-up, but not pre-and post-training. Additionally, a positive correlation emerged between perceived training effectiveness and IWB at both post-training and follow-up stages. These findings contribute to the understanding of training program effectiveness in enhancing IWB, highlighting the importance of well-designed Work-based Learning (WBL) programs and the potential for delayed behavioral change. © 2025, Universiti Malaysia Sarawak. All rights reserved.

Keywords

Author Keywords

work-based learning Innovative Work Behavior Perceived Training Effectiveness

Index Keywords

Author Affiliations
College of Economics and Political Science, Sultan Qaboos University, Muscat, Oman
Azman Hashim International Business School, Kuala Lumpur, Malaysia
Funding & Acknowledgements
Sultan Qaboos University, SQU
We express our gratitude to Sultan Qaboos University for its financial support. We also extend our thanks to the Omani Ministry of Labor, Oman Energy Association (OPAL), Oman Investment Authority (OIA), and Oman Liquefied Natural Gas (Oman LNG) for their valuable assistance in data collection.
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