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South African public sector property management: a performance model

This research was conducted with the intention of accomplishing effective property management (PM) in order for public sector properties in South Africa (SA) SA to fulfil more remarkably, public sector property stakeholders’ requirements. In particular, this study was concluded within a South African municipal environment with the specific purpose of alleviating South African municipalities from problems associated with overall poor operational performance, dissatisfied public sector property stakeholders, and inadequacies in competitiveness and global alignment. The primary objective of this study was to develop a performance model deemed necessary for the effective management of public sector properties in SA. This was achieved by developing a performance model for effective management of public sector properties, a model to systematically monitor, measure and control current expectations and changes within a public sector property management function. Herewith, performance model for effective management of public sector properties in South Africa. At the time of conducting this study, there was no conceptual model developed for performance management of public sector properties. In order to develop the performance model, the conceptual model identified key elements that included: 1) obsolescence and strategic factors; 2) global alignment; 3) finance and cost control; 4) PESTEL impact; 5) transformation and sustainability; 6) leadership and governance; and 7) monitoring, measurement and control as influences that directly impact a perceived successful management of public sector properties in SA. The study also took the form of a quantitative research project that included a formal survey of the identified population sample. The main statistical procedure employed was Structural Equation Modelling (SEM). Originally, the study offered 24 hypotheses; however, only 11 hypotheses could be confirmed by SEM measurement. Therefore, through SEM, the significance of the relationships between variables could be tested. Appropriate quantitative data were collected from public and private South African Built Environment professionals, students and other academics. The research made use of snowball sampling through questionnaires, with a sample size of 171. It is anticipated that findings of this study will be acknowledged by public sector PM in an effort to resolve PM problems through the incorporation of pertinent recommendations. Likewise, since the performance model for effective management of public sector properties was not extant prior to this study, this research is cutting-edge and therefore pioneering to PM, especially within the public sector.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:29454
Date January 2017
CreatorsMali-Swelindawo, Bongiwe Lorreta, Yan, Bingwen
PublisherNelson Mandela Metropolitan University, Faculty of Engineering, the Built Environment and Information Technology
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis, Doctoral, DPhil
Formatxxi, 750 leaves, pdf
RightsNelson Mandela Metropolitan University

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