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The study was conducted to understand how the moral identity of employees mediates the relationship between servant leadership and the moral disengagement of employees. Additionally, the study explores whether servant leadership's ability to build the moral identity of employees is contingent upon employees' perception of organizational politics.

The data were collected from 500 service sector-employed knowledge workers. Data analysis was done through structural equation modeling.

The study found servant leadership to be related to the moral identity of employees. Additionally, moral identity and moral disengagement were found to be negatively related. Moral identity was found to mediate the relationship between servant leadership and moral disengagement. Finally, the study found that the relationship between servant leadership and employees' moral identity was contingent upon their perception of organizational politics.

The study explored the previously unexplored mediating role of moral identity linking servant leadership to the moral disengagement of employees. The study also explained how the relationship between servant leadership and the moral identity of employees was contingent upon employees' perception of organizational politics.

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.

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.

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.

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.