Evaluating the Performance of Campus Facility Management through Structural Equation Modeling Based on Key Performance Indicators

This paper presents the development of a comprehensive campus facility management performance assessment model (CFMPM). The model employs structural equation modeling (SEM) and incorporates a thorough list of crucial success factors. The CFMPM tool is intended for use by industry shareholders to evaluate the operational effectiveness of campus facility management (CFM) and analyze the proficiency and constraints of CFM organization across diverse managerial tiers. Key CFM success factors were collected using interviews with experts and relevant literature, validated using two rounds of the Delphi technique with 14 highly qualified experts, and disseminated via an online questionnaire to industry experts who rated them according to their significance. Data were obtained from 402 participants hailing from diverse regions. Then, SEM was used to perform a quantitative analysis of the interconnectedness between the various aspects of CFM performance, with the aim of ascertaining the influence of each construct on overall performance. The model was rigorously assessed for its robustness across several parameters, including goodness-of-fit measurements, multivariate normality tests, and reliability and validity tests, in addition to hypothesis analysis. The gathered data were used to construct a CFMPM comprising 45 key performance indicators of successful CFM grouped into seven different constructs. The application of SEM revealed a noteworthy correlation between the operational indicators of proficient CFM and the construct groups, in addition to the impact of efficacious CFM constructs on CFM performance overall. This research enhances the existing knowledge base by identifying vital indicators for the evaluation of CFM effectiveness and utilizing them to formulate an inclusive global SEM capable of serving as a tool for gauging the efficiency of CFM. This could lend valuable support for organizations, facility managers, and policy makers when making well-informed decisions.