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1 – 3 of 3Kujtim Hameli and Bujamin Bela
This study aims to examine the relationship between high commitment human resource management (HCHRM) practices and employee well-being in the food service industry, with a focus…
Abstract
Purpose
This study aims to examine the relationship between high commitment human resource management (HCHRM) practices and employee well-being in the food service industry, with a focus on the mediating roles of job demands and psychological conditions.
Design/methodology/approach
A survey was conducted among 296 frontline employees in the food service industry, and the data were analyzed using structural equation modeling (SEM) in AMOS ver26.
Findings
The results showed that HCHRM practices do not directly affect employee well-being. However, psychological conditions play a crucial role in mediating the relationship between HCHRM practices and employee well-being. Specifically, the psychological conditions of meaningfulness and availability significantly predicted work engagement and mediated the relationship between HCHRM practices and employee well-being. On the other hand, job demands did not mediate the relationship between HCHRM practices and employee well-being.
Research limitations/implications
Although the study addressed common method variance, the cross-sectional nature of the data limits the ability to infer causal relationships among variables. Future studies could adopt a longitudinal research design to investigate the causal relationships among variables. In addition, the study recommends that managers in the food service industry adopt HCHRM practices and provide necessary psychological conditions to promote employee well-being.
Originality/value
This study extends the current literature on HCHRM and employee well-being in the food service industry by providing new insights into the mediating role of psychological conditions. The findings suggest that HCHRM practices can indirectly promote employee well-being through the enhancement of psychological conditions. These insights could help managers in the food service industry to design effective HRM strategies that foster employee well-being and reduce turnover.
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Fatemeh Amini, Seyyed Mohammad Mousavi and Jamshid Yazdani Charati
This study aims to compare the social support among patients with schizophrenia or methamphetamine dependency with healthy individuals.
Abstract
Purpose
This study aims to compare the social support among patients with schizophrenia or methamphetamine dependency with healthy individuals.
Design/methodology/approach
Using convince sampling, the authors recruited 80 patients (schizophrenia, n = 40; methamphetamine dependency, n = 40) and their companions (healthy individuals, n = 40) who were referred to a psychiatric hospital in a cross-sectional study in Sari, Iran. In in-person interviews, the authors collected data on demographic characteristics and measured social support using a standardized questionnaire.
Findings
The three groups were similar regarding age and marital status, but different in gender distribution (p = 0.001). The average social support score was 58.0 in the schizophrenia group and 42.3 in the methamphetamine-dependent group, both significantly lower than 63.6 in the healthy group (p = 0.001). The social support scores in schizophrenia and methamphetamine-dependent groups were significantly lower than those in the healthy group across all subgroups of gender (p < 0.04), age (p < 0.05) and marital status (p < 0.001). The methamphetamine-dependent group had the lowest score overall and across all demographic groups and social support subdomains.
Research limitations/implications
This study had two main limitations. First, the study samples were from one city and one hospital in the north of Iran and so may not be generalizable to other population and settings. Second, the authors did not study the causes or predictors of low social support like social stigma which should be studied in future studies.
Originality/value
Despite the limitations, this study found low social support for people diagnosed with schizophrenia or methamphetamine dependency. Intervention to increase social support for them, especially for those with substance use, is required.
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Marc Gilbey, Shea Palmer, Louise Moody, Christopher Newton, Natasha Taylor and Ksenija Maravic da Silva
This study, which is a cross-sectional survey, aims to investigate health-care academics, clinicians and students’ perspectives of health-care simulation-based learning (SBL) and…
Abstract
Purpose
This study, which is a cross-sectional survey, aims to investigate health-care academics, clinicians and students’ perspectives of health-care simulation-based learning (SBL) and extended reality (XR) haptics use within health-care education. Participants’ views regarding the application, barriers and facilitators of SBL and XR haptics were explored.
Design/methodology/approach
The authors conducted an online international cross-sectional survey of 178 participants.
Findings
The survey found high health-care SBL use (n = 97, 55.1%) but low awareness (n = 48, 27.3%) or prior use of XR haptics (n = 14, 7.9%). Participants expressed interest in XR haptic technology emphasising its potential in SBL, particularly for understanding anatomy and physiology, enhancing clinical reasoning and consultation and practical skills.
Research limitations/implications
Whilst there was interest in XR haptics, few participants described previous experience of using this technology in SBL. A large percentage of the participants were UK-based. Most participants were from a nurse or physiotherapy professional background.
Practical implications
XR haptics is a developing technology for SBL in health-care education. Whilst there was clear interest from survey participants, further research is now required to develop and evaluate the feasibility of using this technology in health-care education.
Originality/value
Health-care students, educators and clinicians views on XR haptics have not previously been explored in the development and application of this technology. The findings of this survey will inform the development of XR learning scenarios that will be evaluated for feasibility in health-care SBL.
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