Abstract
Our research examined the role of challenge and hindrance stressors, as well as the interactive effects of these stressors with positive and negative affect, in predicting work engagement and exhaustion using experience sampling methodology. In Study 1, university staff completed measures of challenge and hindrance stressors, positive and negative affect, work engagement, and exhaustion before the end of the workday over 5 working days. Results from multilevel regression indicated that challenge stressors were positively related to work engagement but not exhaustion, while hindrance stressors were unrelated to both work engagement and exhaustion. Additionally, positive affect moderated the association between challenge stressors and both work engagement and exhaustion. We partially replicated and extended these findings in our second sample of Amazon’s Mechanical Turk workers, who completed measures of affect in the mornings before starting work and stressors, work engagement, and exhaustion in the evenings before leaving work, over a period of 10 working days. Results suggested that challenge stressors were positively related to work engagement and exhaustion, while hindrance stressors were positively related to exhaustion and negatively related to work engagement. Similar to our results in Study 1, we found that positive affect interacted with challenge stressors in predicting each work outcome. Furthermore, positive affect moderated the hindrance stressor-work outcomes relationship. Lastly, negative affect moderated the association between challenge stressors and exhaustion. The findings of this study can be used to design interventions that enhance employee motivation and engagement in the presence of challenge and hindrance stressors.
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Notes
We ran these analyses with and without controlling for state of recovery. When controlling for state of recovery, positive affect did not significantly predict workday exhaustion when simultaneously assessed with negative affect and challenge stressors. All other findings remained the same.
References
Aiken, 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.
Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22, 309–328.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Frijda, N. H. (1987). Emotion, cognitive structure, and action tendency. Cognition and Emotion, 1, 115–143.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Paolacci, G., & Chandler, J. (2014). Inside the Turk: Understanding Mechanical Turk as a participant pool. Current Directions in Psychological Science, 23, 184–188.
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.
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.
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.
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.
Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161–1178.
Russell, J. A. (2003). Core affect and the psychological construction of emotion. Psychological Review, 110, 145–172.
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.
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.
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.
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.
Sonnentag, S. (2015). Dynamics of well-being. Annual Review of Organizational Psychology and Organizational Behavior, 2, 261–293.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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Sawhney, G., Michel, J.S. Challenge and Hindrance Stressors and Work Outcomes: the Moderating Role of Day-Level Affect. J Bus Psychol 37, 389–405 (2022). https://doi.org/10.1007/s10869-021-09752-5
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DOI: https://doi.org/10.1007/s10869-021-09752-5