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The decision to select one amongst many choices of higher education institutions (HEIs) is a complex process. At a theory-building level, this study investigates the determinants of students' decisions as they consider investing in a long-term credence service higher education (HE) contract in pre- and in-pandemic and the implications for education managers. The second aspect is how disruptive global events influence such choice-making.

The study hypothesized that there would be significant differences in the driving factors and their weight in students' decisions seeking admission into B-schools (Business schools). Structural equation modeling (SEM) and t-test validate the determinants and test hypothesized differences.

Results reveal that core faculty quality, industry exposure, institutional brand name, placement offered, return on investment and specializations offered are the preferred choice criteria. The results reveal that choice criteria in the pre-and in-pandemic differ significantly.

The application of the SEM approach on a large primary database of students during the pre and in-pandemic periods to understand the changes in the choice of B-school for admission is the original aspect of the paper. Insights from the four hypotheses which got rejected provide value to stakeholders. As the pandemic is rearing its head once again across the globe, this study would be able to inform admissions managers on how to navigate for admissions success.

The aim of this research is to provide insight into how organizations can co-create value with family members engaged in service journeys of customers experiencing vulnerabilities, thereby paying attention to their organizational practices (i.e. recursive or routinized patterns of organizational actions and behaviors).

To investigate, this research relies upon a multiple case study in a group of nursing homes in Flanders that had the ambition to engage family members in service journeys of their loved ones while measuring their value perceptions as a performance indicator (here, satisfaction with nursing home services).

The case evidence shows that nursing homes co-create value with family members through caring practices that focus on their role as secondary customers (i.e. welcoming, connecting and embedding) and empowering practices that focus on their role as partial employees (i.e. teaming up, informing and listening practices). However, the way in which the different caring and empowering practices are enacted by the nursing home and its staff affects their value co-creation potential.

By focusing on the practices with which organizations can co-create value with family members engaged in service journeys of their loved ones, this research bridges the service literature with its attention for value co-creation practices and the literature on customers experiencing vulnerabilities with its focus on extended customer entities.

This study aims to explore various determinants of university attractiveness and its relationship with sustainable institutes. Further, the study examines the mediating role of perceived student support and sense of belongingness on the relationship between university attractiveness and sustainable institutes.

The data analysis was conducted with 637 responses from the students from private universities located in the northern region of India. Variance based partial least square structural equation modeling (PLS-SEM) was applied in the study to investigate the proposed conceptual model on sustainable higher institutions. Additionally, by applying PLS Predict, the predictive relevance of sustainable institutions with important and performing constructs was found out.

The results of this study indicate that university attractiveness plays a critical role in enhancing perceived student support, and it has a direct and significant impact on developing sustainable institutes. Further, students’ sense of belongingness is expressed as significant mediator between university attractiveness and sustainable institutes. The predictive relevance of the study was reported to be high. Most important indicators of university attractiveness were found to be teaching, research and publications, branding and promotion, and diversity in courses offered by the private universities.

The conceptual model under study can be investigated with a moderating effect of private and government universities in future. Additionally, the role of additional variables in online scenario under current pandemic situation can be assessed through the model used in this study. Future research can be done by using qualitative analysis through thematic analysis and sentiment analysis of students in higher education institutes.

The present study is the first to explore the mediating relationship of perceived student support and sense of belongingness with university attractiveness and sustainable institutes. The conceptual framework can prove to be important for education specialists, administrators of education institutes at university level and policymakers. The study offers effective ideas for policymakers to bring sustainability in education sector in near future especially in emerging economies and attain sustainable development goals.

The main purpose of this study is to evaluate the extent of dropout students and identify the relationship between risk factors of dropout and the survival time of students.

The Kaplan–Meier estimator (KM), also known as the product-limit technique, is a nonparametric model function that is commonly used in estimating survival function events (Kaplan and Meier, 1958). The survival function's Kaplan–Meier estimators are used to estimate and graph survival probabilities as a function of time, as well as explanatory data analysis (EDA) for the survival data, including the median survival time, and compare for two or more of the survival events. In addition, Cox proportional hazards model is employed for modelling purpose.

Results of the Kaplan–Meier curves show that male students have lower survival rates than female, researchers have found that there is a difference between the survival times of the student's school types, results show students from English-based schools are higher than Arabic-based schools as suggested by the survival curve. Similarly, there is a difference between the survival times of students aging equal or greater than 25 and students aging less than 25 and survival function estimates of dropout according to high school grade marks has huge difference. These results were confirmed using log rank test as age, school type and marks were statistically significantly different while gender is not statistically significant.

There is no study of this kind from the Somalia context about the student's dropout. Subsequent to the outbreak of civil war in 1988 and the collapse of the central government in 1991, all public social services in Somalia including education centers were severely disrupted.

The statistical methods discussed in the previous section will be applied on a real dataset obtained from different offices of the university; most of the data were extracted from faculty of economics office and admission and record office. The data set comprised of 70 students from SIMAD university, consists of full-time faculty of economics students who enrolled at the university in the academic year of 2017–2018 until two years of diploma, students either complete 24 months of diploma or leave the university and that is the event of interest.

Smoking rates are known to be higher amongst those committed to prison than the general population. Those in prison suffer from high rates of comorbidities that are likely to increase their risk of cardiovascular disease (CVD), making it more difficult to manage. In 2016, a tobacco ban began to be implemented across prisons in England and Wales, UK. This study aims to measure the effect of the tobacco ban on predicted cardiovascular risk for those quitting smoking on admission to prison.

Using data from a prevalence study of CVD in prisons, the authors have assessed the effect of the tobacco ban on cardiovascular risk, using predicted age to CVD event, ten-year CVD risk and heart age, for those who previously smoked and gave up on admission to prison.

The results demonstrate measurable health gains across all age groups with the greatest gains found in those aged 50 years and older and who had been heavy smokers. Quitting smoking on admission to prison led to a reduced heart age of between two and seven years for all participants.

The data supports tobacco bans in prisons as a public health measure to reduce risk of CVD. Interventions are needed to encourage maintenance of smoking cessation on release from prison for the full health benefits to be realised.

This study aims at identifying the key perceived environmental attributes that can influence patients’ sense of coherence (SOC) in hospital public spaces and can improve hospital quality to create a salutogenic environment.

In total, 205 patients from the two hospitals in Sari City, Iran, participated in a questionnaire survey. The data were analyzed through structural equation modeling using partial least squares to investigate the impact of environmental qualities of public spaces on patients’ SOC.

Results confirmed that public spaces’ quality is positively associated with patients’ SOC. Accessibility has the most effective role in patients’ SOC, closely followed by relationability and intelligibility indicators. Environmental comfort also influences patients’ SOC in hospital public spaces. In comparison, the quality of the visibility is less important to patients’ SOC.

Findings will help hospital managers and designers to identify influential factors to improve the quality of health-care environments. Furthermore, the study will provide a picture of patients’ views and SOC intentions regarding public spaces in health-care environments.

To the authors’ knowledge, there is a lack of studies on the relationship between hospital public spaces and users’ SOC. Thus, this study investigates the experiences and perceptions of patients toward the quality of public spaces in hospital environments in physical, social and psychological aspects to find out its effects on patients’ SOC.

The study aims to propose a predictive model that combines personality and demographic factors to predict student academic performance (SAP). This research study works on understanding, enhancing and applying techniques to enhance the prediction of SAP.

The authors gathered information from 305 university students from Al-Zintan University Libya. The study uses a survey questionnaire to collect data on essential variables. The purpose of the questionnaire is to discover variables that affect students' academic performance. The survey questionnaire has 44 closed questions with Likert scale designs that were distributed to a variety of college students at the start of the first semester of 2022. It includes questions about demographics, personality, employment and institutional aspects. The authors proposed a predictive model to identify the main fundamental components, consisting of one dependent variable (SAP) and five independent constructs. The suggested model is tested using partial least squares (PLS) and structural equation modeling (SEM), which perform better than covariance-based structural equation modeling (CB-SEM). PLS-SEM performs well with smaller sample sizes, even for complicated models.

The study results show that the proposed model accurately predicted the student's academic performance. The personality trait variables are a key factor that determines the actual student's academic performance. The student's academic performance is significantly impacted by each variable in the personality trait variables as well.

The process of validating research was done empirically through the accuracy and efficiency of model performance. The study differs from previous studies in that it accumulated a wide range of factors from different dimensions, including student demographics and personality trait factors. The authors developed a structural equation model to predict students' academic performance.

This study aims to examine the rationales for and obstacles to developing a national qualifications framework (NQF) in Japan. From a research perspective, it attempts to propose a model of a qualifications framework in the national context to provoke further political discussion in developing the Japanese Qualifications Framework (JQF).

To propose a possible model of a qualifications framework in the Japanese context, this study employs a qualitative document analysis approach to known NQFs. Next, based on documents and the literature, including government data and the United Nations Educational, Scientific and Cultural Organization’s Tokyo Convention (2011a, b), this study analyzes the motives and challenges in developing the JQF.

Japanese motives to develop the JQF can be summarized in four conditions: (a) International expectations along with the Tokyo Convention and establishment of the National Information Center, (b) avoiding qualification holders’ disadvantages in mobility, (c) quality assurance of qualifications with a competence-based approach and (d) lifelong learning by promoting recognition of diverse learning. The challenges in developing the JQF are (a) fitness with the traditional employment system and (b) multiple stakeholders’ involvement. The current priority in developing an NQF in Japan is to make educational qualification information “visible” based on legal grounds, particularly entrance requirements, to facilitate mobility.

This study explores the possibility of the JQF by summarizing the background and roles of NQFs worldwide and clarifying the motives and challenges for developing the JQF. This study provides suggestions for the possible qualifications framework model in the Japanese context from academic and practical perspectives in Japan, where official discussions on establishing an NQF have not progressed. Ensuring the international compatibility of qualifications so that qualification holders can smoothly take the next step in their studies and employment is important.

Patient length of stay (LOS) is an important indicator of emergency department (ED) performance. Investigating factors that influence LOS could thus improve healthcare delivery and patient safety. Previous studies have focused on patient-level factors to explain LOS variation, with little research into service-related factors. This study examined the association between LOS and multi-level factors including patient-, service- and organization-level factors.

This study uses a retrospective observational design to identify a cohort of patients from arrival to discharge from ED. A year-long data regarding patients flow trhoguh ED were analyzed using analytics techniques and multi-regression models. The response variable was patient LOS, and the independent variables were patient characteristics, service-related factors and organizational variables.

The findings of this study showed that older patients, middle triage and hospitalization were all associated with longer LOS. Service-related factors such as complexity of care provided, initial ward designation and ward transfer had a significant impact as well. Finally, prolonged LOS was associated with a higher ratio of patients per medical doctor and per nurse. In contrast, a higher number of residents in the ED were associated with longer patient LOS.

Previous studies on patient LOS have focused on patient-level factors, with little research on service-related factors. This study has addressed that gap by examining the association between LOS and multi-level factors including patient-, service- and organization-level factors. Patient-level factors included demographics, acuity, arrival shift, arrival mode and discharge type. Service-level factors consisted of first ward, ward transfer and complexity of care provided. Organizational factors consisted of three ratios: patients per MD, patients per nurse and patients per resident. The results add to the current understanding of factors that increase patient LOS in EDs and contribute to the body of knowledge on ED performance, operation management and quality of care. The study also provides practical and managerial insights that could be used to improve patient flow in EDs and reduce LOS.

This study aims to investigate and analyze how to improve the partnership performance of BPJS Healthcare in Indonesia. The authors developed a new construct called engagement religious compliance (ERC). The antecedents of ERC include partnership commitment, perceived benefit and communication quality. This study will examine how the regression relationship of the five constructs will be. Therefore, their influence in increasing the partnership performance of BPJS Healthcare will be known as well.

This study used a mixed method. Quantitatively, respondents comprised 88 leaders from 45 Islamic hospitals in collaboration with BPJS Healthcare in Central Java, Indonesia, selected through a census. Furthermore, the data collection technique of this study used a questionnaire and it will be then analyzed by using partial least squares-structural equation modeling. Then, qualitatively, the data collection technique used in-depth interviews and focus group discussions, whereas the data were analyzed by using the interpretivist approach.

The new ERC construct is proven to be able to improve the partnership performance of BPJS Healthcare in Indonesia. In addition to ERC, partnership performance can be increased through partnership commitment, perceived benefit and communication quality. ERC is proven to be a mediating variable in improving partnership performance.

This research used ERC, a variable that mediates the effect of partnership commitment, perceived benefit and communication quality on increasing partnership performance. ERC is a novelty proposed in this study because, to the best of the authors’ knowledge, it has not been discussed by any previous research.