Articlegold2025

Enhancing professional skepticism through simulation-based learning: Evidence from the UAE insurance industry

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Human Resource Development and Performance Evaluation Management and Marketing Education Innovative Teaching Methodologies in Social Sciences

Abstract

Type of the article: Research ArticleAbstractGrowing regulatory demands and operational complexity in the insurance industry require professionals with strong analytical reasoning and professional skepticism, yet traditional training often fails to develop these competencies. This study aims to evaluate the effectiveness of simulation-based experiential training in enhancing professional skepticism and analytical reasoning among insurance professionals and to examine how the organizational learning climate influences this relationship.A quasi-experimental study was conducted between May and September 2025 across eight insurance companies in the United Arab Emirates, involving 160 early-career professionals (mean age = 27.3 years, SD = 2.5) organized into 40 teams. Teams were randomly assigned to either simulation-based experiential training or conventional instruction. Data were collected at three stages – pre-training, post-training, and eight weeks after training – and analyzed using multilevel structural equation modeling.Participants who received simulation-based training showed a 0.42-point increase in professional skepticism and a 0.78-point improvement in analytical reasoning compared with the control group, both statistically significant at p < 0.001. Analytical reasoning mediated 57% of the training’s total effect on skepticism (indirect effect = 0.24, p < 0.001). The organizational learning climate significantly moderated this relationship (interaction effect = 0.21, p < 0.001), with greater gains observed in firms that promoted reflection and feedback.The findings confirm that simulation-based experiential learning, reinforced by a supportive organizational climate, substantially enhances analytical, skeptical, and ethical judgment essential for accurate claim evaluation, risk assessment, and fraud prevention in the insurance sector.

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