MANAGEMENT INFORMATION SYSTEMS ON PERFORMANCE OF ROAD CONSTRUCTION PROJECTS IN NYANDARUA COUNTY, KENYA

Abstract

The purpose of this study was to establish the influence of project management information systems on road construction project performance; a case of Nyandarua County, Kenya. The objective of this study was to establish the extent to which system quality influences the performance of road construction projects. The study was hinged on the Delone and Mclean IS Success Model .The study adopted a descriptive research design. The target population was 302 comprising of project managers, construction managers and project supervisors from 62 local road construction projects in Nyandarua County. The 169 participants were recruited by a stratified proportional random selection procedure. Self-administered questionnaires were used to collect primary information. Statistical Analysis Software for the Social Sciences was used for the data analysis (SPSS Version125.0). All numerical variables had their descriptive statistics computed, including frequency and percentage distributions, mean and standard deviation, and presentation in frequency tables. Inferential data analysis was done using multiple regression analysis. According to the research, the quality of the system had a minor impact on road construction project performance. The research found out that the information quality provided by the system has a significant impact on the outcomes of road construction performance projects. The study also found out that the performance of road construction projects was moderately affected by the ease with which project data could be accessed and retrieved. From the findings, the study revealed that a unit increase in system quality would lead to a 0.828 increase in performance of road construction projects in Nyandarua County. This variable was significant since p=0.001 is less than 0.05 and therefore the study established that system quality had a positive influence on the performance of road construction projects in Nyandarua County, Kenya (β=0.828, p=0.001<0.05).