The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Being Driven to Work Excessively Hard: The Evaluation of a Two-Factor Measure of Workaholism in The Netherlands and Japan
Open accessAbstract
Based on a conceptual analysis, a two-dimensional self-report questionnaire for assessing workaholism (work addiction) is proposed, including (1) working excessively hard and (2) working compulsively. Using independent explorative and confirmative samples that include employees from The Netherlands ( N = 7,594) and Japan ( N = 3,311), a questionnaire is developed and psychometrically evaluated. Results show that both scales (five items each) are internally consistent and that the hypothesized two-factor structure fits to the data of both countries. Furthermore, convergent validity was shown with measures of excess working time and discriminant validity was shown with measures of burnout and work engagement. Workaholics who work excessively hard and compulsively have a high relative risk on burnout and a low relative risk on work engagement. It is concluded that the two-dimensional measure—dubbed the Dutch Workaholism Scale (DUWAS)—is useful tool in future (cross-cultural) research on workaholism.
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Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Culture and the self: Implications for cognition, emotion, and motivation.
Markus, H. R., & Kitayama, S. (1991) · Psychological Review · doi:10.1037/0033-295x.98.2.224 · Cited by 21,995
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.397 · Cited by 12,852
Self-citationThe measurement of engagement and burnout: a two sample confirmatory factor analytic approach.
Schaufeli, W. B., Salanova, M., González-romá, V., & Bakker, A. B. (2002) · Journal of Happiness Studies · doi:10.1023/a:1015630930326 · Cited by 10,014
Self-citationJob demands, job resources, and their relationship with burnout and engagement: a multi‐sample study
Schaufeli, W. B., & Bakker, A. B. (2004) · Journal of Organizational Behavior · doi:10.1002/job.248 · Cited by 9,297
Self-citationThe Measurement of Work Engagement With a Short Questionnaire: A Cross-National Study
Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006) · Educational and Psychological Measurement · doi:10.1177/0013164405282471 · Cited by 7,403
Self-citationA meta-analytic examination of the correlates of the three dimensions of job burnout
Lee, R. T., & Ashforth, B. E. (1996) · Journal of Applied Psychology · doi:10.1037/0021-9010.81.2.123 · Cited by 3,262 · cited 1×
“…to exhaustion and cynicism, lack of efficacy shows a different pattern of correlations with various job characteristics (for a meta-analyses, see Lee & ashforth, 1996). also, instead of a genuine burnout dimension, lack of efficacy has been considered similar to a personality characteristic…”
BackgroundDistinguishing addiction and high engagement in the context of online game playing
Charlton, J. P., & Danforth, I. D. W. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2005.07.002 · Cited by 946
On being a “Workaholic”: A serious jest
Oates, W. E. (1968) · Pastoral Psychology · doi:10.1007/bf01785472 · Cited by 153
Cited by
An Ultra-Short Measure for Work Engagement: The UWES-3 Validation Across Five Countries
Schaufeli, W. B., Shimazu, A., Hakanen, J., Salanova, M., & De Witte, H. (2019) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000430 · Cited by 834
Self-citationBurnout Assessment Tool (BAT)—Development, Validity, and Reliability
Schaufeli, W. B., Desart, S., & De Witte, H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17249495 · Cited by 759
Self-citationAll Work and No Play? A Meta-Analytic Examination of the Correlates and Outcomes of Workaholism
Clark, M. A., Michel, J. S., Zhdanova, L., Pui, S. Y., & Baltes, B. B. (2016) · Journal of Management · doi:10.1177/0149206314522301 · Cited by 561
Please respond ASAP: Workplace telepressure and employee recovery
Barber, L. K., & Santuzzi, A. M. (2015) · Journal of Occupational Health Psychology · doi:10.1037/a0038278 · Cited by 502
Workaholism vs. Work Engagement: the Two Different Predictors of Future Well-being and Performance
Shimazu, A., Schaufeli, W. B., Kamiyama, K., & Kawakami, N. (2015) · International Journal of Behavioral Medicine · doi:10.1007/s12529-014-9410-x · Cited by 422
Self-citation
Metadata
- Authors
- Schaufeli, W. B., Shimazu, A., & Taris, T. W.
- Venue
- Cross-Cultural Research
- Publisher
- SAGE Publications
- Published
- 2009-05-19
- Volume
- 43
- Issue
- 4
- Pages
- 320-348
- ISSN
- 0094-3673 (ISSN-L)
- 1069-3971
- 1552-3578
- OpenAlex
- W2108714716
- Cited by
- 545
- References
- 10
- FWCI
- 18.54
- Type
- journal article
- Language
- en
- Open access
- green
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