Title: A principal component analysis of monitoring and evaluation determinants for construction projects delivery in developing countries

Authors: Callistus Tengan; Clinton Aigbavboa

Addresses: Sustainable Human Settlement and Construction Research Centre, Faculty of Engineering and the Built Environment, University of Johannesburg, South Africa; Department of Building Technology, Bolgatanga Polytechnic, Post Office Box 767, Upper East Region, Sumbrungu, Ghana ' Sustainable Human Settlement and Construction Research Centre, Faculty of Engineering and the Built Environment, University of Johannesburg, South Africa

Abstract: A data reduction technique is adopted to identify the critical determinants of effective monitoring and evaluation in the construction industry. The views of randomly selected construction professionals from Ghana, Nigeria and South Africa were collected through a questionnaire survey. Adopting a quantitative research approach for the study, extant literature was conducted to identify monitoring and evaluation determining factors. Subsequently, a five-point Likert scale was drawn for respondents to rank the factors. A Cronbach's alpha value of 0.953 was achieved based on standardised items. Similarly, the Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett's test of sphericity was conducted before the data were subjected to principal component analysis. The study provides a new contribution to knowledge by introducing three new variables of uncorrelated determinants that better explain effective monitoring and evaluation. These variables are described as M&E management and human relation, M&E participation and information and M&E implementation and approach. The study, therefore, recommends consideration of these factors by project managers to ensure M&E is effective and delivers successful construction project.

Keywords: construction; determinants; Ghana; implementation; monitoring and evaluation; human relation; participation.

DOI: 10.1504/IJPQM.2019.101930

International Journal of Productivity and Quality Management, 2019 Vol.27 No.4, pp.420 - 434

Received: 21 Mar 2018
Accepted: 28 Jul 2018
Published online: 30 Aug 2019 *

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