Beyond the Demand-Control Model

2010 ◽  
Vol 9 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Arnold B. Bakker ◽  
Marc van Veldhoven ◽  
Despoina Xanthopoulou

This study among 12,359 employees working in 148 organizations tested the interaction hypothesis of the Job Demands-Resources (JD-R) model. Accordingly, employees endorse most positive work attitudes (task enjoyment and organizational commitment) when job demands and job resources are both high. Results of moderated structural equation modeling analyses provided strong support for the hypothesis: 15 of the 16 hypothesized interactions were significant for task enjoyment and 13 of the 16 interactions were significant for organizational commitment. Job resources (skill utilization, learning opportunities, autonomy, colleague support, leader support, performance feedback, participation in decision making, and career opportunities) predicted task enjoyment and organizational commitment particularly under conditions of high job demands (workload and emotional demands). These findings clearly expand the Demand-Control model and support the JD-R model. Moreover, the results illustrate what managers can do to secure employee well-being.

2015 ◽  
Vol 20 (5) ◽  
pp. 446-463 ◽  
Author(s):  
Wilmar B. Schaufeli

Purpose – The purpose of this paper is to integrate leadership into the job demands-resources (JD-R) model. Based on self-determination theory, it was argued that engaging leaders who inspire, strengthen, and connect their followers would reduce employee’s levels of burnout and increase their levels of work engagement. Design/methodology/approach – An online survey was conducted among a representative sample of the Dutch workforce (n=1,213) and the research model was tested using structural equation modeling. Findings – It appeared that leadership only had an indirect effect on burnout and engagement – via job demands and job resources – but not a direct effect. Moreover, leadership also had a direct relationship with organizational outcomes such as employability, performance, and commitment. Research limitations/implications – The study used a cross-sectional design and all variables were based on self-reports. Hence, results should be replicated in a longitudinal study and using more objective measures (e.g. for work performance). Practical implications – Since engaged leaders, who inspire, strengthen, and connect their followers, provide a work context in which employees thrive, organizations are well advised to promote engaging leadership. Social implications – Leadership seems to be a crucial factor which has an indirect impact – via job demands and job resources – on employee well-being. Originality/value – The study demonstrates that engaging leadership can be integrated into the JD-R framework.


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.


2012 ◽  
Vol 111 (2) ◽  
pp. 528-544 ◽  
Author(s):  
Leon de Beer ◽  
Sebastiaan Rothmann ◽  
Jaco Pienaar

A confirmatory investigation of a job demands-resources model was conducted with alternative methods, in a sample of 15, 633 working adults aggregated from various economic sectors. The proposed model is in line with job demands-resources theory and assumes two psychological processes at work which are collectively coined “the dual process.” The first process, the energetic, presents that job demands lead to ill-health outcomes due to burnout. The second process, the motivational, indicates that job resources lead to organizational commitment due to work engagement. Structural equation modelling analyses were implemented with a categorical estimator. Mediation analyses of each of the processes included bootstrapped indirect effects and kappa-squared values to apply qualitative labels to effect sizes. The relationship between job resources and organizational commitment was mediated by engagement with a large effect. The relationship between job demands and ill-health was mediated by burnout with a medium effect. The implications of the results for theory and practice were discussed.


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.


2019 ◽  
Vol 39 (12) ◽  
pp. 1295-1322 ◽  
Author(s):  
Andrea Roberto Beraldin ◽  
Pamela Danese ◽  
Pietro Romano

Purpose The purpose of this paper is to investigate how just-in-time (JIT)-related job demands, problem-solving job demands and soft lean practices (SLPs) jointly influence employee well-being in terms of work engagement and exhaustion. Design/methodology/approach Based on the job demands-resources model, lean-related job characteristics were classified as resources or demands, and a set of hypotheses was developed to test their effect on work engagement and exhaustion, including the potential interaction between job resources and demands. The hypotheses were tested using moderated hierarchical regression and structural equation modelling, based on data from 138 workers. Findings SLPs act as job resources in a lean company, increasing work engagement and reducing exhaustion. Conversely, JIT-related job demands act as a hindrance, reducing work engagement and increasing exhaustion. However, SLPs can reduce the effect of JIT-related job demands on exhaustion, and JIT-related job demands may enhance the positive effects of SLPs on work engagement. Research limitations/implications The study provides no conclusive evidence on the hypothesized role of problem-solving as a challenge job demand. Practical implications The results can guide practitioners’ understanding of how to implement lean without harm to employee well-being. Originality/value By employing a well-grounded psychological model to test the link between lean and well-being, the study finds quantitative support for: the buffering effect of SLPs on exhaustion caused by JIT-related job demands, and for the role of JIT as a hindrance. These novel findings have no precedent in previous survey-based research. In addition, it reveals the importance of studying SLPs at an individual level, as what matters is the extent to which workers perceive SLPs as useful and supportive.


2010 ◽  
Vol 107 (1) ◽  
pp. 193-208 ◽  
Author(s):  
Syed Akhtar ◽  
Jenny S. Y. Lee

The goal of this study was to integrate the job demands-resources model and the conservation of resources model of job burnout into a unified theoretical framework. The data were collected through a mail questionnaire survey among nurses holding managerial positions in the Hospital Authority of Hong Kong. From a computer-generated random sample of nurses, 543 (84.3% women) returned usable surveys, amounting to a response rate of 24.2%. Structural equation modeling was used to test the proposed paths originating from job demands and job resources to the core job burnout dimensions, namely, emotional exhaustion and depersonalization. Results supported the integrated model, indicating that job demands and job resources had differing effects on the burnout dimensions. The effect of job demands was stronger and partially mediated the effect of job resources. Implications of the results from this study on management practices were discussed.


2020 ◽  
Vol 32 (4) ◽  
pp. 201-208
Author(s):  
Zhi Zeng ◽  
Jun Liu ◽  
Qiong Xie ◽  
Yali Wu ◽  
Hua Wang ◽  
...  

Work environments can affect job satisfaction and psychological well-being. Using the job demand-control model as a foundation, this study aimed to explore the relationships between physical and psychosocial work environments and psychological well-being and job satisfaction in the workplace. A multistage sampling method was used with the 2012 China Labor-force Dynamics Survey among 4442 employees. Our outcome measures included psychological well-being and job satisfaction. The final model showed migrants (odds ratio [OR] = 1.34, 95% confidence interval [CI] = 1.13-1.60) and nonmanagerial employees (OR = 1.49, 95% CI = 1.25-1.78) who worked in general enterprises (OR= 1.61, 95% CI = 1.34-1.92) or suffered longer weekly work hours (OR = 1.42, 95% CI = 1.24-1.63) had worse psychological well-being or lower job satisfaction. Following the job demand-control model, higher job demands and lower job autonomy were significantly and positively associated with worse psychological well-being and lower job satisfaction. This study highlights that improved work environments can protect employees’ well-being. Policymakers must provide better work environments. They must consider its physical environment (stable work contract and short work hours) and psychosocial environment (low job demands and high job autonomy) aspects, particularly for migrants and nonmanagerial employees.


2019 ◽  
Vol 28 (3) ◽  
pp. 381-401
Author(s):  
David M. Tokar ◽  
Mark L. Savickas ◽  
Kevin P. Kaut

The present study examined the career construction theory (CCT) model of adaptation using a sample of working adults diagnosed with Chiari malformation. Specifically, we tested a mediation model in which adaptivity (i.e., proactivity, openness, and conscientiousness) fosters adaptability, which conditions adapting (i.e., competence need satisfaction at work), which leads to adaptation (i.e., work well-being and subjective well-being). Results of structural equation modeling supported all of the hypothesized direct and indirect relations between CCT constructs, thus providing strong support for the applicability of the model of adaptation among workers with Chiari malformation. Prior to testing the model of adaptation, we examined and found support for the hypothesized hierarchical structure of the Career Adapt-Abilities Scale–Short Form, a recently developed operationalization of career adaptability.


Author(s):  
Andra Cătălina Roșca ◽  
Alexandru Mateizer ◽  
Cristina-Ioana Dan ◽  
Evangelia Demerouti

Emotional exhaustion and other symptoms of burnout are often found among emergency services professions, such as firefighting. Given the social importance of this activity and the high responsibility it requires, prevention and alleviation of burnout symptoms become primary concerns in ensuring the well-being of firefighters. Although work meaning is one of the factors associated with a lower risk of developing burnout, its protective role has not been studied in firefighters. Therefore, the purpose of this study was to assess the buffering role of work meaning in the health-impairment process of the Job Demands-Resources model, targeting the relationship between job demands and related emotional exhaustion. A cross-sectional survey design was used to collect data from a sample consisting of Romanian firefighters (n = 1096). Structural equation modeling indicated a positive link between job demands and exhaustion. In addition, deriving personal meaning from work was associated with lower levels of exhaustion in firefighters. A small but significant interaction effect between work meaning and job demands showed that higher levels of work meaning attenuated the positive relationship between job demands and exhaustion. In conclusion, our findings suggest that work meaning has a buffering effect on the impact of various job demands on job-related exhaustion. Nevertheless, the small effect sizes warrant further research on this topic.


2021 ◽  
Vol 12 ◽  
Author(s):  
Alessio Tesi

Framing the job demands-resources (JD-R) model, the present study deepened how trait emotional intelligence (TEI, i.e., perception about one's own emotional realm) contributes to the work-related well-being of healthcare professionals. A total of 302 healthcare professionals were involved in the study and completed an anonymous self-report questionnaire. The results of the structural equation modeling revealed that TEI was directly and indirectly—mediated by end-user job demands—negatively associated with burnout, and directly and indirectly—mediated by coworkers related job resources— associated with work engagement. According to the health impairment and motivational processes of JD-R, the present study highlights that TEI could targets burnout and work engagement through different paths. The first path revealed that TEI would reduce burnout protecting by the insurgence harmful relationships with service end-users and the second showed that TEI would support work engagement sustaining the development of positive relationship with coworkers.


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