Study of Inefficiencies in Contract Management Practice in Rural Road

Abstract

The objective of the research is to identify the inefficiencies in contract management practice in the SNRTP sub-projects and also the sources of these inefficiencies will try to find the probable solutions. To study the inefficiencies in contract management practice in SNRTP rural road projects, the checklist was prepared and data regarding the contract management were obtained with the project stakeholders. The data were collected using questionnaires, analysed using SPSS software, MS Excel and presented using the graph, table, and charts.The findings of the study showed that there are significant inefficiencies in contract management practice in the SNRTP project. It has been found that the majority of the respondents i.e. 79 percent of the experts interviewed opined that there are inefficiencies in the contract management practices in the rural road under SNRTP sub-projects, and only 21 percent think that the process is efficient from questionnaire survey. This has been statistically verified through descriptive statistics. The reason behind the inefficiencies in Contract Management Practice is mainly due to a lack of qualifications, knowledge, skills & experience of the contract management team, lack of cooperation & proper communication between project team member, lack of monitoring & evaluation in time, lack of timely meetings, slow decisions making, and improper planning & poor site management during the construction work. To overcome those inefficiencies some suggestions have been recommended as appointing the team member with proper qualifications, knowledge, skills & experience in the contract management. Proper communication & cooperation between team member, frequent inspection, monitoring and evaluation, completion of work within intended completion time, proper record keeping & timely issue management, and timely decision making from all stakeholders as required in construction work during the project implementation phase.