Journal of King Saud University: Engineering Sciences (May 2022)

An investigation of the relationship between project performance measures and project management practices of construction projects for the construction industry in Nigeria

  • H.C.O. Unegbu,
  • D.S. Yawas,
  • B. Dan-asabe

Journal volume & issue
Vol. 34, no. 4
pp. 240 – 249

Abstract

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This study investigated the relationship between project performance measures and project management practices of construction projects for the construction industry in Nigeria. Survey research method was adopted using questionnaire as the primary instrument for data collection. The questionnaire was designed to collect data on nineteen project management performance measures and fifty three project management practices on a five point Likert scale. Altogether, two hundred and fifty questionnaires were distributed to contractors, clients and consultants from ten construction companies, out of which a total of two hundred and twenty one valid responses were obtained. The data collected was put into SPSS 25 (statistical package for social sciences) where Crombach’s alpha test was carried out, the average variance extracted and composite reliability tests were calculated for the constructs in Microsoft Excel to determine their appropriateness for structural equation model (SEM). The data was finally imported from SPSS to LISREL (Linear Structural Relationship) where the hypothetical SEM model was tested and validated using the path coefficients and goodness of fit indices. From the results of the study, the highest relationship exist between customer satisfaction and project success, followed by project performance and project success, and stakeholder management and project success. Altogether, 14 out of the 20 hypotheses used for the data analysis in SEM were validated with path coefficients greater than 0.1. Three hypotheses were changed and three were rejected. In addition to the relationships hypothesized, two additional relationships were discovered which promoted the convergence of the SEM model.

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