Workaholism, work engagement, and burnout among academics in Montenegro: A psychometric network approach

被引:1
|
作者
Osmanovic, Sabina [1 ]
Pajic, Sofija [2 ]
Petrovic, Ivana B. [3 ]
Portoghese, Igor [4 ]
机构
[1] Univ Montenegro, Niksic, Montenegro
[2] Radboud Univ Nijmegen, Nijmegen, Netherlands
[3] Univ Belgrade, Belgrade, Serbia
[4] Univ Cagliari, Cagliari, Italy
来源
WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION | 2024年 / 78卷 / 04期
关键词
Workaholism; work engagement; burnout; academia; psychometric network analysis; Montenegro;
D O I
10.3233/WOR-230347
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BACKGROUND: The academic environment is known for its high demands in research, teaching, and administration, that along with increasing publish or perish culture can lead to reduced psychological well-being and mental health issues. OBJECTIVE: This study aimed to investigate the associations between workaholism, work engagement, and burnout among academics in Montenegro. METHODS: A cross-sectional design was used to develop anonymous online survey. Data was collected from 131 participants employed as teaching and research staff at public and private universities. To measure the variables of interest we used: ultra- short Utrecht Work Engagement Scale (UWES-3), the work-related burnout subscale from the Copenhagen Burnout Inventory (CBI-7) and the Dutch Work Addiction Scale (DUWAS-10). Psychometric network analysis was employed to examine the relationships among variables. RESULTS: The findings revealed two distinct clusters: the first containing the dimensions of work engagement and the second containing burnout and the dimensions of workaholism. The two clusters were connected with the dimensions of dedication- burnout having the strongest edge (-0.25 and -0.40). In the cross-sample network the strongest connection was burnout - working excessively (.35). No significant differences in network density (0.80 (12/15 edges)) and global strength (p p = 0.159) in the networks of public and private universities were found. CONCLUSION: Results of the network centrality and the edge strength analyses suggest that the interventions focused at increasing dedication while not fostering a work environment that encourages working excessively might be the key to preventing and reducing burnout in academia across contexts of public and private universities.
引用
收藏
页码:1081 / 1092
页数:12
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