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Decision Making and Truck Operating Costs on Haulage Business in Lagos, Nigeria

Authors :
Jubril Oladosu
Christopher Adesola Wojuade
Source :
Asian Research Journal of Arts & Social Sciences. :28-37
Publication Year :
2020
Publisher :
Sciencedomain International, 2020.

Abstract

Aim: To evaluates how managers take decisions on variable components of freight operation and its effects on truck operating costs in haulage business in Lagos, Nigeria. Study Design: The structure of this paper is a descriptive design. It identified a gap in knowledge and employed a structured questionnaire to obtain useful information that gives a clearer understanding of the subject in a new environment. The data collected was analysed using descriptive statistics. Place and Duration of Study: Haulage companies operating in Lagos, Nigeria between June and August 2019. Methodology: The population study is 2154 staff drawn from the eight purposively selected registered haulage companies in Lagos, Nigeria. A structured questionnaire was randomly administered on 337 personnel involved in freight operations. The questionnaire survey was conducted to obtain information on company’s expenses and policy decisions on truck operating components. Result: The decision to use new truck reduces fuel consumption and maintenance cost of haulage business. Furthermore, remunerating drivers in salary is cost effective, regular training of drivers improves their performance while high empty return trips leads to revenue loss. Business owners take decisions on huge financial investment while managers handled those that are directly related to daily fleet operations. Conclusion: The study concluded that decisions on components of freight operation increases truck operating cost of the haulage companies in the study area. The study therefore recommends policy actions that will enhance productivity of haulage companies through effective decisions.

Details

ISSN :
24564761
Database :
OpenAIRE
Journal :
Asian Research Journal of Arts & Social Sciences
Accession number :
edsair.doi...........56cc68e1f71fa002af88220da338aa49
Full Text :
https://doi.org/10.9734/arjass/2020/v11i430177