scholarly journals Self-efficacy for instructional leadership: relations with perceived job demands and job resources, emotional exhaustion, job satisfaction, and motivation to quit

2020 ◽  
Vol 23 (5) ◽  
pp. 1343-1366
Author(s):  
Cecilie Skaalvik

Abstract The purpose of this study was to explore associations between school principals’ self-efficacy for instructional leadership, their perceptions of work-related demands and resources, emotional exhaustion, job satisfaction, and motivation to leave the principal position (quit). Four hundred and forty-seven principals in elementary school and high school participated in a survey study. Data were analyzed by means of confirmatory factor analyses and SEM analyses. Self-efficacy for instructional leadership was negatively associated with the perception of all job demands and positively associated with the perception of all job resources in the study. In the SEM analysis, the associations between (a) self-efficacy and (b) emotional exhaustion, job satisfaction, and motivation to quit were indirect, mediated through the perception of job demands and job resources.

Author(s):  
Antonia-Sophie Döbler ◽  
André Emmermacher ◽  
Stefanie Richter-Killenberg ◽  
Joshua Nowak ◽  
Jürgen Wegge

The present study provides evidence for the important role of job crafting and self-undermining behaviors at work, two new concepts that were recently integrated into the well-known job demands-resources (JD-R) theory (Bakker and Demerouti, 2017). We investigate how these behaviors are associated with work engagement, emotional exhaustion, and work ability as a long-term indicator of employee’s well-being. Furthermore, we examine the moderating role of personal resources in the stress-strain process by comparing groups of employees representing the five types of job satisfaction defined by Bruggemann (1974). Data was collected in a cross-sectional study within a German DAX company’s manufacturing plant from 1145 blue- and white-collar workers. Results of structural equation modeling provided, as expected, support for an indirect effect of job demands and job resources on emotional exhaustion and work engagement through job crafting and self-undermining. Work ability, on the other hand, was mainly affected by emotional exhaustion, but not by work engagement. Most important, we found significant differences between path coefficients across the five types of job satisfaction indicating that these types represent important constellations of personal resources and job demands that should be considered both for analyzing stress at work and for offering tailored stress interventions in organizations.


2019 ◽  
Vol 32 (2) ◽  
pp. 246-268 ◽  
Author(s):  
Melina Seedoyal Doargajudhur ◽  
Peter Dell

PurposeBring your own device (BYOD) refers to employees utilizing their personal mobile devices to perform work tasks. Drawing on the job demands-resources (JD-R) model and the task-technology fit (TTF) model, the purpose of this paper is to develop a model that explains how BYOD affects employee well-being (through job satisfaction), job performance self-assessment, and organizational commitment through perceived job autonomy, perceived workload and TTF.Design/methodology/approachSurvey data from 400 full-time employees in different industry sectors in Mauritius were used to test a model containing 13 hypotheses using confirmatory factor analysis and structural equation modeling.FindingsThe SEM results support the hypothesized model. Findings indicate that BYOD indirectly affects job satisfaction, job performance and organizational commitment via job demands (perceived workload), job resources (perceived job autonomy) and TTF. Further, job resources influences job demands while TTF predicted job performance. Finally, job satisfaction and job performance self-assessment appear to be significant determinants of organizational commitment.Practical implicationsThe findings are congruent with the JD-R and TTF models, and confirm that BYOD has an impact on job satisfaction, job performance self-assessment and organizational commitment. This could inform organizations’ policies and practices relating to BYOD, leading to improved employee well-being, performance and higher commitment.Originality/valueThe expanded model developed in this study explains how employee well-being, performance and organizational commitment are affected by BYOD, and is one of the first studies to investigate these relationships.


2018 ◽  
Author(s):  
Simon Albrecht ◽  
Jeromy Anglim

Objective: Although Fly-in-Fly-Out (FIFO) work practices are widely used, little is known about their impact on the motivation and wellbeing of FIFO workers across the course of their work cycles. Drawing from the Job Demands-Resources model, we aimed to test for the within-person effects of time of work cycle, job demands, and job resources on emotional exhaustion and employee engagement at three day-intervals. Method: Fifty-two FIFO workers filled out three or more on-line diary surveys after every three days of their on-site work roster. The survey consisted of items drawn from previously validated scales. Bayesian hierarchical modeling of the day-level data was conducted. Results: Workers, on average, showed a decline in engagement and supervisor support, and an increase in emotional demand over the course of the work cycle. The results of the hierarchical modeling showed that day-level autonomy predicted day-level engagement and that day-level workload and emotional demands predicted emotional exhaustion. Conclusions: The findings highlight the importance of managing FIFO employees' day-to-day experiences of job demands and job resources because of their influence on employee engagement and emotional exhaustion. To best protect FIFO worker day-level wellbeing, employing organisations should ensure optimal levels of job autonomy, workload, and emotional demands. Practical implications, study limitations and areas for future research are outlined.


BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e031053 ◽  
Author(s):  
Lara Solms ◽  
Annelies E M van Vianen ◽  
Tim Theeboom ◽  
Jessie Koen ◽  
Anne P J de Pagter ◽  
...  

ObjectivesThe high prevalence of burnout among medical residents and specialists raises concerns about the stressful demands in healthcare. This study investigated which job demands and job resources and personal resources are associated with work engagement and burnout and whether the effects of these demands and resources differ for medical residents and specialists.DesignIn a survey study among residents and specialists, we assessed job demands, job resources, personal resources, work engagement and burnout symptoms using validated questionnaires (January to December 2017). Results were analysed using multivariate generalised linear model, ordinary least squares regression analyses and path analyses.SettingFive academic and general hospitals in the Netherlands.ParticipantsA total number of 124 residents and 69 specialists participated in this study. Participants worked in the fields of pediatrics, internal medicine and neurology.ResultsThe associations of job and personal resources with burnout and work engagement differed for residents and specialists. Psychological capital was associated with burnout only for specialists (b=−0.58, p<0.001), whereas psychological flexibility was associated with burnout only for residents (b=−0.31, p<0.001). Colleague support (b=0.49, p<0.001) and self-compassion (b=−0.33, p=0.004) were associated with work engagement only for specialists.ConclusionThis study suggests that particularly personal resources safeguard the work engagement and lessen the risk of burnout of residents and specialists. Both residents and specialists benefit from psychological capital to maintain optimal functioning. In addition, residents benefit from psychological flexibility, while specialists benefit from colleague support. Personal resources seem important protective factors for physicians’ work engagement and well-being. When promoting physician well-being, a one-size-fits-all approach might not be effective but, instead, interventions should be tailored to the specific needs of specialists and residents.


SAGE Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 215824402094743
Author(s):  
Sabine Kaiser ◽  
Joshua Patras ◽  
Frode Adolfsen ◽  
Astrid M. Richardsen ◽  
Monica Martinussen

The job demands-resources (JD-R) model was used to evaluate work-related outcomes among 489 health care professionals working in public health services for children and their families in Norway. In accordance with the JD-R model, the relationship of job demands and job resources with different outcomes (turnover intention, job satisfaction, and service quality) should be mediated through burnout and engagement. The results of the multilevel structural equation model analysis indicated good model fit: The χ2/degrees of freedom ratio was 1.54, the root mean square error of approximation was .033, and the Tucker Lewis index and comparative fit index were both .92. Job demands were positively associated with burnout; job resources were positively related to engagement and negatively related to burnout. Burnout was positively related to turnover intention and negatively related to job satisfaction and service quality. Engagement was inversely related to the outcome variables. Both job demands and job resources are important predictors of employee well-being and organizational outcomes.


2020 ◽  
Vol 30 (2) ◽  
pp. 202-215
Author(s):  
Fatih Aydin ◽  
Hatice Odaci

AbstractThe aim of the present study is to investigate the role of counselling self-efficacy, trait anxiety and cognitive flexibility in predicting job satisfaction of school counsellors. The study was conducted according to a correlational research design. The sample group consisted of 99 female and 77 male school counsellors voluntarily participating in the study. Data collection tools included the Personal Information Form, Job Satisfaction Scale, Counselor Activity Self-Efficacy Scale, Trait Anxiety Inventory and Cognitive Flexibility Inventory. The data were analysed with Pearson product-moment correlation analysis and hierarchical regression analysis. According to the research findings, the job satisfaction of school counsellors was identified to have moderate significant correlations with counselling self-efficacy, trait anxiety and cognitive flexibility. Counselling self-efficacy and trait anxiety were each concluded to be significant predictors of job satisfaction. Finally, cognitive flexibility was found not to be a significant predictor of job satisfaction. The results are interpreted and discussed in accordance with the relevant literature.


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