INVESTIGATING THE EFFECT OF EMOTION REGULATION ON PERFORMANCE STABILITY IN DUAL-DOMAIN JOB ROLES
Keywords:
Emotion Regulation; Performance Stability; Dual-Domain Job Roles; Job Performance; Organizational Implications; Emotional Intelligence.Abstract
Emotion regulation is the process of controlling emotional responses to fit the context of a given situation. In relation to functions that combine two distinct areas of expertise, such as a finance-technology or healthcare-administration professional, there is a unique challenge of sustaining consistent performance in the face of emotional changes. This study focuses on the impact of emotion regulation strategies on performance stability of finance-technology and healthcare-administration dual-domain professionals. A purposive sample of 200 participants completed standardized self-report measures on cognitive reappraisal and expressive suppression. Performance stability was evaluated through supervisor ratings and objective task variability over a period of four weeks. Descriptive statistics, Pearson correlations, and multivariate comparisons within role types were conducted as part of the data analysis. The results showed that performance variability was significantly reduced with greater cognitive reappraisal (r = –0.42, p < 0.001), while expressive suppression exhibited a non-significant relationship (r = –0.12, p = 0.08). The reappraisal-function stability connection was stronger in healthcare-administration roles compared to finance-technology roles, indicating some context-dependent moderation. These findings underscore the value of proactive emotion regulation to promote dependability in intricate work environments. Dual-domain professionals require specialized training that encompasses emotion regulation and is tailored to the demands of dual domains.Future research should seek to demonstrate causality and broaden scope across additional role combinations using longitudinal and experimental designs, addressing limitations that come with the self-report measures and cross-sectional design employed in the current research.
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