| dc.description.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. | en_US |
