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Investigating the productivity based system of labour intensive works in delivering road infrastructure in rural communities in Ghana
Author(s) -
Emmanuel Bamfo-Agyei,
Clinton Aigbavboa,
Wellington Didibhuku Thwala
Publication year - 2018
Publication title -
creative construction conference 2018 - proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3311/ccc2018-074
Subject(s) - productivity , business , computer science , transport engineering , engineering , economic growth , economics
The Labor-intensive Public Works (LIPW) has rehabilitated 792km Feeder Roads, 192 Small Earth Dams & Dugouts (that is ensuring the harvesting of 21,195,764 cubic meters of water for the rural poor) and 2,550 hectares of degraded public/community land through tree planting and other biodiversity restoration activities. However systematic operations risk-rating on Technical Design of Project was rated low. The aim of this paper is to investigate the Productivity based system of Labour Intensive Works in delivering road infrastructure in rural communities in Ghana. The objectives are to identify the drivers affecting performance of managementand controlrelated activities that occur in during labour intensive works and to determine the characteristics of workers that affect the performance of labour intensive works. Purposive sampling technique was adopted to select 12 districts were the labour intensive projects on road construction were carried out. Random sampling technique was adopted to select 24 contractors from the study population which has total contractors of 180. Furthermore stratified sampling method was adopted to select 120 participants of which 24 of them are facilitators, 24 time keepers, 24 site engineers, 24 contractors, 12 district engineers, 12 GSOP Desk officers. The study adopted the exploratory factor analysis. The exploratory factor analysis was used in this research study to confirm the reliability and validity of labour productivity. Attitude of site personnel was ranked as the leading factor influencing the management related activities with a mean score of 3.81 while Knowledge of project technology and Accuracy of technical information followed having a mean score of 3.60 and 3.50 respectively.

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