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Abstract: Amidst global labor shortages and high turnover in the long-haul trucking industry, effectively motivating and retaining drivers has become a critical challenge for transportation companies. Despite growing interest in occupational wellbeing, research connecting job satisfaction with transportation performance in this sector remains sparse. This study seeks to identify key factors influencing both job satisfaction and transportation performance among long-haul truck drivers. Employing structural equation modeling (SEM), a comprehensive survey analysis was conducted. The results reveal a significant positive relationship between job satisfaction and transport performance. Additionally, job stress and reward systems are identified as major predictors of job satisfaction, while personality traits and job design characteristics also significantly impact satisfaction levels (Hancock et al., 2013; Lannoo and Verhofstadt, 2016; Kollmann et al., 2020). This study provides new insights into long-haul truck driver management through a theory-driven research approach, helping transportation companies enhance driver management practices and offering important implications for the industry's sustainable development.

Keywords: Long-haul truck drivers; Job satisfaction; Transportation performance; Human resource management; Driver management