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This study used post-occupancy evaluation (POE) to assess the performance and effectiveness of student housing by examining occupants’ satisfaction with the facility across three performance elements: technical, functional and behavioral. This study aims to address a significant gap in the existing research concerning the POE of university student housing facilities, particularly in understanding how well these facilities fulfill occupant needs across the aforementioned three elements.

This study assesses the existing literature, examines the dormitory’s physical parameters through walkthrough inspections and measures occupant satisfaction through surveys and focus group sessions. The study analyzed questionnaire responses using a four-point Likert scale, using Microsoft Excel software to determine the weighted average response for each performance element.

The analysis indicated that students were satisfied with most housing condition parameters. However, noise management, lighting control, air circulation, washroom facilities, cleanliness, power sockets for equipment and several study rooms and furnishings require improvement to enhance student well-being and performance.

This study provides significant information to aid in making informative decisions on building maintenance, retrofitting and facility upgrading. It also contributes to enhancing the field’s knowledge about POE in student housing facilities. It emphasizes the importance of using physical building attributes and user-centric features to fulfill students’ needs and expectations regarding facilities.

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.

Extant research indicates that fear of missing out (FoMO) caused by the negative influence of media and word-of-mouth (WOM) leads to panic buying and generates a negative impact on consumer well-being. However, the mechanism that can minimise or abort this impact remains understudied. Therefore, in this study, we examine how consumer self-regulation functions as a brake mechanism to intervene with the negative influences of media and WOM on FoMO.

Data were collected from a representative sample in Australia. Hypotheses were tested by applying generalised structural equation modelling (GSEM), and analysis was conducted using the statistical software Stata 17.

Self-regulation is negatively influenced by media channels and WOM but is positively influenced by media content. Consumer self-regulation acts as a brake mechanism for FoMO. Panic buying, which is triggered by FoMO, has a significant impact on negative emotional well-being.

The limitations of the study are associated with the survey data collection.

We extend the knowledge of how self-regulation works as a brake mechanism for the complex FoMO construct consisting of a perception of missing out accompanied by irrational behaviours. Self-regulation emerges as a brake mechanism for FoMO. Hence, if self-regulation is practiced at the inception of the media and WOM exposure, it can counteract FoMO and potentially abort its’ impact on panic buying.

From a practical perspective, policymakers could help emotionally vulnerable individuals better engage in self-control practices through support programmes and workshops aimed at assisting the public in coping with overwhelming and intense adverse emotions experienced during and following various crises. Vulnerable cohorts, particularly the younger generation who are arguably more susceptible to FoMO, need to be studied more thoroughly in the marketing domain.

The role of self-regulation has been studied thinly in marketing literature, particularly in relation to offsetting irrational consumer behaviours. The originality of our study is that it extends and broadens the understanding of the role of self-regulation in the context of pandemics and addresses the inconclusive evidence of the impact of self-regulation on FoMO.