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1 – 4 of 4This study aimed to examine the antecedents, correlates, and consequences of burnout among higher education faculty in Saudi Arabia using the theoretical framework of the job…
Abstract
Purpose
This study aimed to examine the antecedents, correlates, and consequences of burnout among higher education faculty in Saudi Arabia using the theoretical framework of the job demands-resources model.
Design/methodology/approach
Using a quantitative research design, a cross-sectional survey was employed to collect data from faculty members across multiple Saudi universities. The constructs were measured using validated scales, and data analysis included exploratory factor analysis, Pearson correlation analysis, factorial ANOVA, and multiple regression.
Findings
The study identified moderate levels of burnout, confirming a significant positive relationship with role conflict and a negative relationship with internal locus of control. Burnout significantly contributed to depression, insomnia, and turnover intentions. However, no significant relationship was found between burnout and workplace conflict when controlling for other variables.
Research limitations/implications
The study's findings can inform policymakers and academic administrators about measures to alleviate faculty burnout, thus contributing to healthier academic work environments aligned with Saudi Arabia's Vision 2030 goals.
Originality/value
This research extends the job demands-resources model within the context of higher education institutions in Saudi Arabia, offering nuanced insights into burnout dynamics among university faculty in this region. Despite the model's robustness, the absence of a significant relationship between burnout and workplace conflict signals the need for a more intricate understanding of burnout's antecedents and consequences.
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Gizem Aytekin-Sahin, Aslihan Besparmak, Seda Sultan Sagir, Adeviye Somtas and Dilsad Ozturk
This study aims to evaluate the nutrient profile, carbon footprint and water footprint of one-month menus presented in five hospitals in Turkey and compare their environmental…
Abstract
Purpose
This study aims to evaluate the nutrient profile, carbon footprint and water footprint of one-month menus presented in five hospitals in Turkey and compare their environmental impacts with that of the Mediterranean diet.
Design/methodology/approach
The energy and nutrient content of menus were compared with recommendations of the Turkey Dietary Guidelines (TUBER) 2022. Nutrient profiles of hospital menus were evaluated using Nutrient Rich Food 9.3 (NRF 9.3) and SAIN-LIM models. The carbon and water footprints of the menus were calculated and compared with those of the Mediterranean diet.
Findings
Menus’ energy and nutrient content did not conform with TUBER 2022. The SAIN-LIM score of Hospital A (5.7 ± 1.1) was significantly higher than that of Hospitals C (4.8 ± 0.7, p = 0.001) and E (5.1 ± 0.7, p = 0.025). The carbon footprint of Hospital A was significantly lower (2.6 ± 0.3 kg CO2 eq/person/day) and that of Hospital D (4 ± 0.9 kg CO2 eq/person/day) was significantly higher than those of others (p < 0.001). While other menus were similar (p > 0.05), the water footprint of Hospital A was significantly lower (3.5 ± 0.7 L/kg, p < 0.001). In addition, if the menus were suitable for the Mediterranean diet, a reduction of 2.2–23.4% in the carbon footprint and 37.5–58.6% in the water footprint could be achieved. Moreover, menus’ carbon and water footprints were negatively correlated with NRF 9.3 and SAIN-LIM scores.
Research limitations/implications
The primary aim should be to ensure that the planned menus follow the dietary guidelines. In addition, it is an undeniable fact that sustainable nutrition is a complex process with many dimensions. However, it seems possible to improve the nutrient profiles of the menus and reduce their environmental footprint with minor changes to be made in food services.
Practical implications
It seems possible to improve the nutrient profiles of the menus and reduce their environmental footprint with minor changes. For both health and environmental impacts, food services should switch to menus suitable for the Mediterranean diet.
Originality/value
The findings provide new insights into hospital menus’ quality and environmental impact.
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Judit Gárdos, Julia Egyed-Gergely, Anna Horváth, Balázs Pataki, Roza Vajda and András Micsik
The present study is about generating metadata to enhance thematic transparency and facilitate research on interview collections at the Research Documentation Centre, Centre for…
Abstract
Purpose
The present study is about generating metadata to enhance thematic transparency and facilitate research on interview collections at the Research Documentation Centre, Centre for Social Sciences (TK KDK) in Budapest. It explores the use of artificial intelligence (AI) in producing, managing and processing social science data and its potential to generate useful metadata to describe the contents of such archives on a large scale.
Design/methodology/approach
The authors combined manual and automated/semi-automated methods of metadata development and curation. The authors developed a suitable domain-oriented taxonomy to classify a large text corpus of semi-structured interviews. To this end, the authors adapted the European Language Social Science Thesaurus (ELSST) to produce a concise, hierarchical structure of topics relevant in social sciences. The authors identified and tested the most promising natural language processing (NLP) tools supporting the Hungarian language. The results of manual and machine coding will be presented in a user interface.
Findings
The study describes how an international social scientific taxonomy can be adapted to a specific local setting and tailored to be used by automated NLP tools. The authors show the potential and limitations of existing and new NLP methods for thematic assignment. The current possibilities of multi-label classification in social scientific metadata assignment are discussed, i.e. the problem of automated selection of relevant labels from a large pool.
Originality/value
Interview materials have not yet been used for building manually annotated training datasets for automated indexing of scientifically relevant topics in a data repository. Comparing various automated-indexing methods, this study shows a possible implementation of a researcher tool supporting custom visualizations and the faceted search of interview collections.
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Kelley A. Packalen, Kaitlyn Sobchuk, Kelly Qin-Wang, Jenelle Cheetham, Jaclyn Hildebrand, Agnieszka Fecica and Rosemary Lysaght
The goal of this study was to understand which employee-focused workplace practices and priorities – more formally known as human resource (HR) practices and priorities  
Abstract
Purpose
The goal of this study was to understand which employee-focused workplace practices and priorities – more formally known as human resource (HR) practices and priorities – employees with mental health and/or addiction challenges (MHAC) valued and how they perceived the day-to-day implementation of those practices and priorities in the workplace integration social enterprises (WISEs) that employed them.
Design/methodology/approach
Twenty-two WISE workers who self-identified as having serious MHAC participated in semi-structured interviews. Interviews were transcribed and coded to identify ways that employees did or did not feel supported in their WISEs.
Findings
Participants identified three HR practices and two HR priorities as important to establishing an inclusive workplace that accommodated their MHAC. The extent to which individual participants felt included and accommodated, however, was shaped by interactions with their supervisors and coworkers.
Originality/value
By evaluating the salience of WISEs’ employee-focused workplace practices and priorities through the lens of the employees themselves, our study articulates the critical role that interactions with coworkers and supervisors have in determining whether HR practices and priorities have the intended effect on worker experience.
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