Participatory Hazard Management System and Accident Prevention in the Bonny NLNG Construction Project


  •  Mba Agwu    
  •  Cletus Emeti    

Abstract

The paper examined participatory hazard management system and accident prevention in the bonny NLNG construction project. The research question addressed the extent at which reduced accident/incident rate and increased organizational productivity is dependent on the implementation of participatory hazard management system in the bonny NLNG construction project. It is based on the fundamental behavioural cybernetic principle that those directly affected by workplace hazards, should be primarily responsible for managing and controlling them. The core aspect of the study is the use of cross-sectional survey research design in generating the required primary data. The place of study is the bonny NLNG construction project while the duration of study is between March, 2012 and February, 2013. A sample of 396 (35 supervisors, 98 foremen and 263 workmen) respondents determined at 5% level of significance for sample error, using Yamane’s formula, was selected from a population of 40,568 employees using stratified random sampling method for the purpose of questionnaire administration. The results indicated that reduced accident/incident rate and increased organizational productivity is to a large extent dependent on the implementation of participatory hazard management system in the Bonny NLNG construction project as buttressed by the 82% and 81% large extent response rate respectively. It therefore recommends among others: regular site safety audits to identify/eliminate sub-causes of accident, regular staff training to improve their hazard identification skills, formation of health and safety committee to identify/eliminate potential hazards at the task level and making hazard identification/reporting everyone’s responsibility.



This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1833-3850
  • ISSN(Online): 1833-8119
  • Started: 2006
  • Frequency: bimonthly

Journal Metrics

Google Scholar Citations

h-index: 174

i10-index: 1295

WoS Reviewer Recognition

Clarivate - Web of Science

IJBM partners with Web of Science to recognize our reviewers' contributions. You can forward your review thank-you email to reviews@webofscience.com to automatically log your certified credits on your Web of Science Researcher Profile.

Contact