The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Daily performance at work: feeling recovered in the morning as a predictor of day‐level job performance
Open accessAbstract
This study examined the state of being recovered in the morning (i.e., feeling physically and mentally refreshed) as a predictor of daily job performance and daily compensatory effort at work. Ninety‐nine employees from public service organizations completed a general survey and two daily surveys on pocket computers over the course of one workweek. Hierarchical linear modeling showed that being recovered in the morning was positively related to daily task performance, personal initiative, and organizational citizenship behavior and negatively related to daily compensatory effort at work. Relationships between the state of being recovered and day‐specific job performance were moderated by job control. For persons with a high level of job control, the relationship between being recovered and daily performance was stronger. Copyright © 2008 John Wiley & Sons, Ltd.
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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
“Stress: appraisal and coping,”
Folkman, S. (2013) · Encyclopedia of Behavioral Medicine · doi:10.1007/978-1-4419-1005-9_215 · Cited by 27,833
Conservation of resources: A new attempt at conceptualizing stress
Hobfoll, S. E. (1989) · American Psychologist · doi:10.1037/0003-066x.44.3.513 · Cited by 18,187
Mediation in experimental and nonexperimental studies: New procedures and recommendations.
Shrout, P. E., & Bolger, N. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.4.422 · Cited by 11,335
Podsakoff, P. M., MacKenzie, S. B., Paine, J. B., & Bachrach, D. G. (2000) · Journal of Management · doi:10.1177/014920630002600307 · Cited by 5,897
Organizational citizenship behavior: Its nature and antecedents.
Smith, C. A., Organ, D. W., & Near, J. P. (1983) · Journal of Applied Psychology · doi:10.1037//0021-9010.68.4.653 · Cited by 4,043
Proactive Behavior in Organizations
Crant, J. M. (2000) · Journal of Management · doi:10.1177/014920630002600304 · Cited by 2,701
Sonnentag, S., & Fritz, C. (2007) · Journal of Occupational Health Psychology · doi:10.1037/1076-8998.12.3.204 · Cited by 2,133
Self-citationSonnentag, S. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.3.518 · Cited by 1,851
Self-citationRobert J. Hockey, G. (1997) · Biological Psychology · doi:10.1016/s0301-0511(96)05223-4 · Cited by 1,753
Cited by
Making Things Happen: A Model of Proactive Motivation
Parker, S. K., Bindl, U. K., & Strauss, K. (2010) · Journal of Management · doi:10.1177/0149206310363732 · Cited by 2,096
Job Demands—Resources theory and self-regulation: New explanations and remedies for job burnout
Bakker, A. B., & de Vries, J. D. (2021) · Anxiety, Stress, & Coping · doi:10.1080/10615806.2020.1797695 · Cited by 1,131
“Moreover, daily recovery experiences during off-job time are positively related to next-day work engagement and job performance (e.g., Binnewies et al., 2009; Ten Brummelhuis & Bakker, 2012a).”
BackgroundBeginning the workday yet already depleted? Consequences of late-night smartphone use and sleep
Lanaj, K., Johnson, R. E., & Barnes, C. M. (2014) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2014.01.001 · Cited by 738
Advances in recovery research: What have we learned? What should be done next?
Sonnentag, S., Venz, L., & Casper, A. (2017) · Journal of Occupational Health Psychology · doi:10.1037/ocp0000079 · Cited by 587
Self-citationKoopman, J., Lanaj, K., & Scott, B. A. (2016) · Academy of Management Journal · doi:10.5465/amj.2014.0262 · Cited by 594
Metadata
- Authors
- Binnewies, C., Sonnentag, S., & Mojza, E. J.
- Venue
- Journal of Organizational Behavior
- Publisher
- Wiley
- Published
- 2008-12-18
- Volume
- 30
- Issue
- 1
- Pages
- 67-93
- ISSN
- 0894-3796 (ISSN-L)
- 1099-1379
- OpenAlex
- W2025956004
- Cited by
- 356
- References
- 14
- FWCI
- 26.04
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.