Gunduz, M; Naji, K and Maki, O (2025) A framework for evaluating campus facility management performance in light of project critical success factors using a multidimensional fuzzy logic approach. Engineering, Construction and Architectural Management, 32(3), pp. 1715-1738. ISSN 0969-9988
Abstract
Purpose: This paper aims to present the development of a holistic campus facility management (CFM) performance assessment framework that incorporates a fuzzy logic approach and integrates a comprehensive set of key factors for successful management of campus facilities. The devised framework aims to cater to the needs of campus facilities management firms and departments for the purpose of gauging and assessing their performance across different management domains. Through this approach, facility management organizations can detect potential areas of enhancement and adopt preemptive steps to evade issues, foster progress and ensure success. Design/methodology/approach: After a comprehensive analysis of the literature, conducting in-depth interviews with industry experts and employing the Delphi technique in two rounds, a total of 45 indicators critical to CFM success were identified and subsequently sorted into seven distinct groups. Through an online questionnaire, 402 subject-matter experts proficiently assessed the significance of the critical success indicators and their groups. A fuzzy logic framework was developed to evaluate and quantify a firm's compliance with the critical success indicators and groups of indicators. The framework was subsequently weighted using computations of the relative importance index (RII) based on the responses received from the questionnaire participants. The initial section of the framework involved a comprehensive analysis of the firm's performance vis-à-vis the indicators, while the latter part sought to evaluate the impact of the indicators groups on the overall firm's performance. Findings: The utilization of fuzzy logic has uncovered the significant effects each effective CFM key indicator on indicators groups, as well as the distinct effects of each CFM indicators group on the overall performance of CFM. The results reveal that financial management, communications management, sustainability and environment management and workforce management are the most impactful indicators groups on the CFM performance. This suggests that it is imperative for management to allocate increased attention to these specific areas. Originality/value: This study contributes to the advancement of current knowledge by revealing vital indicators of effective CFM and utilizing them to construct a thorough fuzzy logic framework that can assist in evaluating the effectiveness of CFM firms worldwide. This has the potential to provide crucial assistance to facility management organizations, facility managers and policymakers in their quest for informed decision-making.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | campus facility management framework; critical project success factors; fuzzy logic model; fuzzy set theory; key performance indicators; mamdani fuzzy inference; performance assessment model; relative importance index |
| Index terms: | effectiveness, key indicator, performance assessment, financial management, project success, key performance indicator, fuzzy logic, fuzzy set theory, decision-making, methodology, computation, Delphi technique, questionnaire, critical success factor, facilities management, compliance, manager, interview, fuzzy inference, relative importance index |
| Subjects: | project management theory and practice, management, performance management, decision analysis, control systems, risk assessment, data collection methods, computational methods, data science, project delivery, health safety and environment, research methods, decision-making and optimization, assessment methods, practitioner, economic analysis |
| Topics: | Roles and Professions, Business Strategy, Research Practice, Digital Applications, Human Resources, Risk Management, Health and Safety, Project Management, Quality Management |
| Descriptive scope: | 5 PCTEA |
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