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In recent decades, the student population in dormitories has increased notably, primarily attributed to the growing number of international students. Dormitories serve as pivotal environments for student development. The coordination and compatibility among students can significantly influence their overall success. This study aims to introduce an innovative method for roommate selection and room allocation within dormitory settings.

In this study, initially, using multi-attribute decision-making methods including the Bayesian best-worst method and weighted aggregated sum product assessment, the incompatibility rate among pairs of students is calculated. Subsequently, using a linear mathematical model, roommates are selected and allocated to dormitory rooms pursuing the twin objectives of minimizing the total incompatibility rate and costs. Finally, the grasshopper optimization algorithm is applied to solve large-sized instances.

The results demonstrate the effectiveness of the proposed method in comparison to two common alternatives, i.e. random allocation and preference-based allocation. Moreover, the proposed method’s applicability extends beyond its current context, making it suitable for addressing various matching problems, including crew pairing and classmate pairing.

This novel method for roommate selection and room allocation enhances decision-making for optimal dormitory arrangements. Inspired by a real-world problem faced by the authors, this study strives to offer a robust solution to this problem.

The purpose of this study is to capture patients' and employees' perception of quality of care in the Indian private hospitals and to find the possible perceptual gaps between both the groups.

Authors have referred to the Victorian patient satisfaction monitoring (VPSM) scale and studied the responses of 327 patients and 327 employees collected from six private Indian tertiary care hospitals. SPSS v26 software was used to conduct the data reliability test, descriptive analysis and Mann–Whitney U test.

Authors have found significant differences in perceptions of quality of care between the patients and employees in the Indian hospitals. Employees have high positive perceptions towards the provided medical care whereas the patients have less favourable perceptions for many quality indicators.

This study findings help the healthcare managers, practitioners and healthcare workers of the Indian hospitals to understand the perceptions of both the employees and the patients towards healthcare quality elements and help to reduce the existing perceptual gap in the process of providing quality healthcare services.

To the best of authors knowledge, this is one of the pioneering studies conducted in Indian healthcare industry to capture and compare the perceptions of both the employees' and the patients' perceptions of various quality of care elements. This study highlighted the existing perceptual gap between the employees and the patients on various healthcare quality elements and indicated the critical areas for improvement to provide high quality healthcare services.

The primary objective of this study is to conduct a comprehensive literature review focused on the concept of service quality within the healthcare sector. This research aims to categorize and analyze the various dimensions associated with service quality.

The systematic literature review methodology was employed to accomplish current study goals, and specific criteria were utilized to select relevant research articles spanning the years from 2000 to 2023. Ultimately, 57 articles met the criteria and were included in the study.

Through a meticulous review of selected articles, our research identified and categorized 29 distinct measures for evaluating service quality in the healthcare sector. These measures were further grouped into five overarching categories, namely: overall service quality, personal characteristics, healthcare facility administration, patient attributes and the servicescape. Our investigation highlighted that the dimensions commonly utilized to assess service quality in healthcare primarily draw from the SERVQUAL framework. Additionally, there is significant emphasis on measurements related to the physical environment's quality, overall patient satisfaction and behavioral intention.

This review offers original value by synthesizing diverse literature on healthcare service quality, highlighting SEVQUAL dimensions and critical variables used for assessment. It provides insight into the subjective nature of service quality and varied sampling methods and contributes to enhancing service quality and patient satisfaction in healthcare settings.