Analysis of Performance of Drivers and Usage of Overtime Hours: A Case Study of a Higher Educational Institution

TL;DR

This study investigates the relationship between driver performance and overtime hours in a university setting, finding no significant link but highlighting vehicle type and condition as influencing factors for overtime.

Contribution

It provides new insights into factors affecting overtime hours, emphasizing vehicle-related influences over driver performance in a higher education context.

Findings

No significant relationship between driver performance and overtime hours.

Vehicle type and condition influence overtime hours.

Longer journeys are associated with specific vehicle factors.

Abstract

This study attempted to analyze whether there is a relationship between the performance of drivers and the number of overtime hours worked by them. The number of overtime hours worked by the drivers in the pool for the years 2017 and 2018 were extracted from the overtime registers and feedback received on the performance of drivers from staff members who frequently traveled in the University vehicles were used for this study. The overall performance of a driver was decided by taking the aggregate of marks received by him for the traits: skillfulness, patience, responsibility, customer service and care for the vehicle. The type of vehicle the driver is assigned for is also taken into account in the analysis of this study. The study revealed that there is no significant relationship between the performance of the drivers and the number of overtime hours worked by them but the type of vehicle and the condition of the vehicle affects attracting long journeys to them which enable them to earn more overtime hours.