Determinants of construction organisational performance: A partial least square-path analytic method

Abstract

Purpose

Literature suggests that there are sets of common variables that are capable of explaining organisational performance differentials. These variables are used to examine performance variance and its contribution to organisation profitability. Therefore, the purpose of this paper is to examine the determinants of large construction organisations’ performance in South Africa using a partial least squares path analytic method.

Design/methodology/approach

This study examines the interrelationship between a number of constructs, namely, organisational characteristics, resources/capabilities, competitive strategies, business environment and performance, using a questionnaire survey to obtain data from 72 large construction organisations in South Africa. Using a path analytic approach, the paper examines the relationship between the constructs discussed in the study.

Findings

The findings from the analysis of the data show that organisational characteristics do indeed influence the performance of organisations, and that the business environment is capable of moderating the relationship between competitive strategies and performance. The results, however, indicate that organisations that combine sustained organisational characteristics and strategy tend to experience high performance over those that do not.

Originality/value

The study findings have implications for management practice, as it could help managers of construction organisations to acknowledge the influence of organisational characteristics, unique resources/capabilities, competitive strategies and business environment as sources of competitive advantage. The study contributes to the current debate on the causes of performance differentials among large construction organisations.

Citation

Oyewobi, L.O., Windapo, A.O. and Rotimi, J.O.B. (2017), "Determinants of construction organisational performance: A partial least square-path analytic method", Journal of Financial Management of Property and Construction, Vol. 22 No. 1, pp. 37-61. https://doi.org/10.1108/JFMPC-05-2016-0021