Technology has become a pervasive component of logistics systems. It increasingly supports workers when performing tasks through technology-driven augmentation. Prior research highlights that leveraging the complementary strengths of worker capabilities and technology-driven support functions presents significant opportunities to enhance operational performance in human-centered logistics systems. However, these opportunities are threatened by potential aversion, which may result in the rejection of advice and direct control. Therefore, this study investigates the impact of truck drivers’ domain specialization on fuel consumption and the moderating effect of the prior degree of augmentation through support functions. The study draws on a detailed dataset assembled from multiple sources, including records of on-board telematics system, technical truck data, and truck driver records obtained in collaboration with a asset-owning road haulier. First, the results suggest that fuel consumption follows an U-shape function for truck driver’s increasing domain specialization. This indicates that increasing domain specialization can reduce fuel consumption until a point where it backfires. Second, the prior degree of augmentation through support functions moderates this relationship as the U-shape amplifies when the prior degree of augmentation increases.
