Management strategies and performance of road construction projects in Kiambu County Kenya

Abstract

Road building projects are known to be challenging and costly on a global scale. A nation's ability to prioritize road development is a key factor in determining its potential for economic growth and sustainability of the projects undertaken even after the funding entity has left. The following objectives will guide the study to establish the influence of leadership styles on performance of road construction projects in Kiambu County, Kenya; to examine how team competency influences performance of road construction projects in Kiambu County, Kenya and to assess how technological exposure influence performance of road construction projects in Kiambu County, Kenya. The following hypotheses will be tested: HO: There is no relationship between leadership styles on performance of road construction projects in Kiambu County, Kenya; HO: There is no relationship between team competency influence performance of road construction projects in Kiambu County, Kenya; HO: There is no relationship between technological exposure influence performance of road construction projects in Kiambu County, Kenya. The research methodology is research descriptive survey design. The study will adapt project management competency theory and systems theory. This study will use descriptive survey research and correlation design. The target population of 700 people from road construction projects. The sample size is determined by krchejie and Morgan table 1970 which is 248 and simple random sampling technique will be used in the study. Data collection tool will be a questionnaire and an interview guide for information triangulation. Pilot testing, validity, and reliability will be conducted to test the instruments by use of 10% of the sample size. Validity will be ensured by use of face, content, and construct validity, while reliability used Cronbach Alpha coefficient subject to threshold of 0.7 alpha coefficient. Pearson correlation will be applied in running the linear regression and comparing of variables. Results will be presented in tables, means, and standard deviations. The recommendations will be made according to the findings of the study.