Confirmatory Factor Analysis of Performance Measurement Indicators Determining the Uptake of CPS for Facilities Management

Abstract

With the use of cyber-physical systems (CPS) advanced computational capabilities, the delivery of facilities management (FM) mandates are efficiently and effectively conducted. Since performance measurement is an important yardstick in ascertaining the outcome of FM approaches, this study assesses the performance measurement indicators that influence the uptake of CPS for FM functions. Using a structured questionnaire, data were collected from built environment professionals in the Gauteng province of South Africa. Data collected was analysed using a five-stage process which includes: data reliability and validity, descriptive statistics, establishing a difference in groups’ opinion, principal component analysis, and model testing and fit statistics for confirmatory factor analysis. Results from the study indicate that three significant performance indicators are influential in determining the uptake of CPS for FM, which are operations efficiency, facility adaptation, and client’s satisfaction. The study contributes immensely to the body of knowledge. It unveils the significant performance measurement indicators that would help organisations, facilities managers, and policymakers guide their decisions hinged on the espousal of innovative technologies. Furthermore, the study serves as a solid theoretical base for further studies showcasing a roadmap for digitalisation for FM functions by unravelling the significant performance measurement indicators.