SEM-PLS Modelling of Driving Performance in Freight Forwarding Companies in Batam City

Raja Thariqal Hidayah () and Ayu Puspitasari ()
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Raja Thariqal Hidayah: Batam State Polytechnic
Ayu Puspitasari: Batam State Polytechnic

A chapter in Proceedings of the 7th International Conference on Applied Economics and Social Science (ICAESS 2025), 2026, pp 159-173 from Springer

Abstract: Abstract The work of heavy truck drivers is prone to driving fatigue which can interfere with driver performance. This study analyzes the impact of driving fatigue on the driving performance of freight forwarding drivers using variables of work schedules and work activities. This study uses the Structural Equal Modeling-Partial Least Square (SEM-PLS) method with questionnaire and observation surveys as research instruments with a total of 30 respondents. The results of the study showed that the work activity variable had a significant effect on driving performance, while the other six hypotheses, namely work schedule, work activities through the mediating variable of driving fatigue did not have a significant role on driving performance. The findings confirm the importance of the impact of work activities as an important variable that can be used to assess and improve driver’s performance in their work.

Keywords: Driving performance; Work schedule; Work activities; Driving Fatigue; Heavy truck driver (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-990-2_12

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DOI: 10.2991/978-94-6463-990-2_12

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