- Access through your institution
Volume 109, Issue 1, May 2009, Pages 18-28
//doi.org/10.1016/j.obhdp.2009.02.002Get rights and content
View full textAiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions. Sage.
Allen, T. D., French, K. A., Braun, M. T., & Fletcher, K. (2019). The passage of time in work-family research: Toward a more dynamic perspective. Journal of Vocational Behavior, 110, 245–257.
Google Scholar
Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22, 309–328.
Google Scholar
Balk, Y. A., de Jonge, J., Geurts, S. A., & Oerlemans, W. G. (2019). Antecedents and consequences of perceived autonomy support in elite sport: a diary study linking coaches’ off-job recovery and athletes’ performance satisfaction. Psychology of Sport and Exercise, 44, 26–34.
Google Scholar
Bindl, U. K., Parker, S. K., Totterdell, P., & Hagger-Johnson, G. (2012). Fuel of the self-starter: How mood relates to proactive goal regulation. Journal of Applied Psychology, 97, 134–150.
Google Scholar
Binnewies, C., & Wörnlein, S. C. (2011). What makes a creative day? A diary study on the interplay between affect, job stressors, and job control. Journal of Organizational Behavior, 32, 589–607.
Google Scholar
Bliese, P. (2016). Multilevel: Multilevel Functions [Software].
Bliese, P. D., Schepker, D. J., Essman, S. M., & Ployhart, R. E. (2020). Bridging methodological divides between macro-and microresearch: Endogeneity and methods for panel data. Journal of Management, 46, 70–99.
Google Scholar
Boswell, W. R., Olson-Buchanan, J. B., & LePine, M. A. (2004). Relations between stress and work outcomes: The role of felt challenge, job control, and psychological strain. Journal of Vocational Behavior, 64, 165–181.
Google Scholar
Breevaart, K., & Bakker, A. B. (2018). Daily job demands and employee work engagement: The role of daily transformational leadership behavior. Journal of Occupational Health Psychology, 23, 338–349.
PubMed Google Scholar
Buhrmester, M. D., Talaifar, S., & Gosling, S. D. (2018). An evaluation of Amazon’s Mechanical Turk, its rapid rise, and its effective use. Perspectives on Psychological Science, 13, 149–154.
PubMed Google Scholar
Casler, K., Bickel, L., & Hackett, E. (2013). Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing. Computers in Human Behavior, 29, 2156–2160.
Google Scholar
Cavanaugh, M. A., Boswell, W. R., Roehling, M. V., & Boudreau, J. W. (2000). An empirical examination of self-reported work stress among US managers. Journal of Applied Psychology, 85, 65–74.
Google Scholar
Crane, M. F., & Searle, B. J. (2016). Building resilience through exposure to stressors: The effects of challenges versus hindrances. Journal of Occupational Health Psychology, 21, 468–479.
PubMed Google Scholar
Crawford, E. R., LePine, J. A., & Rich, B. L. (2010). Linking job demands and resources to employee engagement and burnout: A theoretical extension and meta-analytic test. Journal of Applied Psychology, 95, 834–848.
Google Scholar
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86, 499–512.
Google Scholar
DeShon, R. P., Ployhart, R. E., & Sacco, J. M. (1998). The estimation of reliability in longitudinal models. International Journal of Behavioral Development, 22, 493–515.
Google Scholar
Edwards, B. D., Franco-Watkins, A. M., Cullen, K. L., Howell, J. W., & Acuff, R. E., Jr. (2014). Unifying the challenge-hindrance and sociocognitive models of stress. International Journal of Stress Management, 21, 162–185.
Google Scholar
Feuerhahn, N., Sonnentag, S., & Woll, A. (2014). Exercise after work, psychological mediators, and affect: A day-level study. European Journal of Work and Organizational Psychology, 23, 62–79.
Google Scholar
Folkman, S., & Lazarus, R. S. (1985). If it changes it must be a process: Study of emotion and coping during three stages of a college examination. Journal of Personality and Social Psychology, 48, 150–170.
PubMed Google Scholar
Ford, M. T., Matthews, R. A., Wooldridge, J. D., Mishra, V., Kakar, U. M., & Strahan, S. R. (2014). How do occupational stressor-strain effects vary with time? A review and meta-analysis of the relevance of time lags in longitudinal studies. Work & Stress, 28, 9–30.
Google Scholar
Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218–226.
Google Scholar
Frijda, N. H. (1987). Emotion, cognitive structure, and action tendency. Cognition and Emotion, 1, 115–143.
Google Scholar
Heinisch, D. A., & Jex, S. M. (1997). Negative affectivity and gender as moderators of the relationship between work-related stressors and depressed mood at work. Work & Stress, 11, 46–57.
Google Scholar
Huelsman, T. J., Nemanick, R. C., Jr., & Munz, D. C. (1998). Scales to measure four dimensions of dispositional mood: Positive energy, tiredness, negative activation, and relaxation. Educational and Psychological Measurement, 58, 804–819.
Google Scholar
Isen, A. M., & Shalker, T. E. (1982). The effect of feeling state on evaluation of positive, neutral, and negative stimuli: When you “accentuate the positive,” do you “eliminate the negative”? Social psychology Quarterly, 58–63.
Jayawickreme, E., Tsukayama, E., & Kashdan, T. B. (2017). Examining the effect of affect on life satisfaction judgments: A within-person perspective. Journal of Research in Personality, 68, 32–37.
Google Scholar
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer publishing company.
LePine, J. A., Podsakoff, N. P., & LePine, M. A. (2005). A meta-analytic test of the challenge stressor–hindrance stressor framework: An explanation for inconsistent relationships among stressors and performance. Academy of Management Journal, 48, 764–775.
Google Scholar
Lin, W., Ma, J., Wang, L., & Wang, M. (2015). A double-edged sword: The moderating role of conscientiousness in the relationships between work stressors, psychological strain, and job performance. Journal of Organizational Behavior, 36, 94–111.
Google Scholar
Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling, 9(2), 151–173.
Google Scholar
Liu, C., Liu, Y., Mills, M. J., & Fan, J. (2013). Job stressors, job performance, job dedication, and the moderating effect of conscientiousness: A mixed-method approach. International Journal of Stress Management, 20, 336–363.
Google Scholar
Malinowski, P., & Lim, H. J. (2015). Mindfulness at work: Positive affect, hope, and optimism mediate the relationship between dispositional mindfulness, work engagement, and well-being. Mindfulness, 6, 1250–1262.
Google Scholar
Mazzola, J. J., & Disselhorst, R. (2019). Should we be “challenging” employees? A critical review and meta-analysis of the challenge-hindrance model of stress. Journal of Organizational Behavior, 40(8), 949–961.
Google Scholar
McCormick, B. W., Reeves, C. J., Downes, P. E., Li, N., & Ilies, R. (2020). Scientific contributions of within-person research in management: Making the juice worth the squeeze. Journal of Management, 46(2), 321–350.
Michel, J. S., O’Neill, S. K., Hartman, P., & Lorys, A. (2018). Amazon’s Mechanical Turk as a viable source for organizational and occupational health research. Occupational Health Science, 2, 83–98.
Google Scholar
Min, H., Kim, H. J., & Lee, S. B. (2015). Extending the challenge–hindrance stressor framework: The role of psychological capital. International Journal of Hospitality Management, 50, 105–114.
Google Scholar
Paolacci, G., & Chandler, J. (2014). Inside the Turk: Understanding Mechanical Turk as a participant pool. Current Directions in Psychological Science, 23, 184–188.
Google Scholar
Ployhart, R. E., Holtz, B. C., & Bliese, P. D. (2002). Longitudinal data analysis: Applications of random coefficient modeling to leadership research. The Leadership Quarterly, 13, 455–486.
Google Scholar
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569.
PubMed Google Scholar
Reis, D., Arndt, C., Lischetzke, T., & Hoppe, A. (2016). State work engagement and state affect: Similar yet distinct concepts. Journal of Vocational Behavior, 93, 1–10.
Google Scholar
Rodell, J. B., & Judge, T. A. (2009). Can “good” stressors spark “bad” behaviors? The mediating role of emotions in links of challenge and hindrance stressors with citizenship and counterproductive behaviors. Journal of Applied Psychology, 94, 1438–1451.
Google Scholar
Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161–1178.
Google Scholar
Russell, J. A. (2003). Core affect and the psychological construction of emotion. Psychological Review, 110, 145–172.
PubMed Google Scholar
Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006). Utrecht Work Engagement Scale-9.
Schwarz, N., & Clore, G. L. (1983). Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states. Journal of Personality and Social Psychology, 45, 513–523.
Google Scholar
Searle, B. J., & Lee, L. (2015). Proactive coping as a personal resource in the expanded job demands–resources model. International Journal of Stress Management, 22, 46–69.
Google Scholar
Selye, H. (1982). History and present status of the stress concept. In L. Goldberger & S. Breznitz (Eds.), Handbook of stress (pp. 7–17). New York: Free Press.
Shirom, A., & Melamed, S. (2006). A comparison of the construct validity of two burnout measures in two groups of professionals. International Journal of Stress Management, 13, 176–200.
Google Scholar
Shockley, K. M., Ispas, D., Rossi, M. E., & Levine, E. L. (2012). A meta-analytic investigation of the relationship between state affect, discrete emotions, and job performance. Human Performance, 25, 377–411.
Google Scholar
Sonnentag, S. (2015). Dynamics of well-being. Annual Review of Organizational Psychology and Organizational Behavior, 2, 261–293.
Google Scholar
Tadić, M., Bakker, A. B., & Oerlemans, W. G. (2015). Challenge versus hindrance job demands and well-being: A diary study on the moderating role of job resources. Journal of Occupational and Organizational Psychology, 8, 702–725.
Google Scholar
Thayer, R. E. (1989). The biopsychology of mood and arousal. Oxford University Press.
Totterdell, P., Wall, T., Holman, D., Diamond, H., & Epitropaki, O. (2004). Affect networks: A structural analysis of the relationship between work ties and job-related affect. Journal of Applied Psychology, 89, 854–867.
Google Scholar
Van den Broeck, A., De Cuyper, N., De Witte, H., & Vansteenkiste, M. (2010). Not all job demands are equal: Differentiating job hindrances and job challenges in the Job Demands-Resources model. European Journal of Work and Organizational Psychology, 19, 735–759.
Google Scholar
Van den Heuvel, M., Demerouti, E., & Peeters, M. C. (2015). The job crafting intervention: Effects on job resources, self-efficacy, and affective well-being. Journal of Occupational and Organizational Psychology, 88, 511–532.
Google Scholar
Wallace, J. C., Edwards, B. D., Arnold, T., Frazier, M. L., & Finch, D. M. (2009). Work stressors, role-based performance, and the moderating influence of organizational support. Journal of Applied Psychology, 94, 254–262.
Google Scholar
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070.
PubMed Google Scholar
Webster, J. R., Beehr, T. A., & Christiansen, N. D. (2010). Toward a better understanding of the effects of hindrance and challenge stressors on work behavior. Journal of Vocational Behavior, 76, 68–77.
Google Scholar
Webster, J. R., Beehr, T. A., & Love, K. (2011). Extending the challenge-hindrance model of occupational stress: The role of appraisal. Journal of Vocational Behavior, 79, 505–516.
Google Scholar
Weiss, H. M., & Cropanzano, R. (1996). Affective events theory: A theoretical discussion of the structure, causes and consequences of affective experiences at work. Research in Organizational Behavior, 18, 1–74.
Google Scholar
Wyer, R. S., Jr., & Carlston, D. E. (1979). Social cognition, inference, and attribution. Psychology Press.
Yuan, Z., Li, Y., & Lin, J. (2014). Linking challenge and hindrance stress to safety performance: The moderating effect of core self-evaluation. Personality and Individual Differences, 68, 154–159.
Google Scholar
Zellars, K. L., Hochwarter, W. A., Perrewe, P. L., Hoffman, N., & Ford, E. W. (2004). Experiencing job burnout: The roles of positive and negative traits and states. Journal of Applied Social Psychology, 34, 887–911.
Google Scholar
Zhang, Y., LePine, J. A., Buckman, B. B., & Wei, F. (2014). It’s not fair … Or is it? The role of justice and leadership in explaining work stressor-job performance relationships. Academy of Management Journal, 57, 675–697.
Google Scholar
Zhou, Z. E., Yan, Y., Che, X. X., & Meier, L. L. (2015). Effect of workplace incivility on end-of-work negative affect: Examining individual and organizational moderators in a daily diary study. Journal of Occupational Health Psychology, 20, 117–130.
PubMed Google Scholar
Page 2
This article is in the 1st percentile (ranked 284,354th) of the 348,267 tracked articles of a similar age in all journals and the 1st percentile (ranked 9th) of the 11 tracked articles of a similar age in Journal of Business and Psychology
View more on Altmetric
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.