Skip to main content
Original Article

Episodic Demands, Resources, and Engagement

An Experience-Sampling Study

Published Online:https://doi.org/10.1027/1866-5888/a000177

Abstract. This study contributes to the literature on work engagement and job demands-resources (JD-R) theory by exploring the momentary relations between episodic demands, resources, engagement, and performance during various activities (e.g., checking e-mails) within a day. Using experience-sampling methodology, 61 Dutch employees completed activity characteristics, engagement, and performance surveys at three different times during the day for one week. Results from 413 observations showed that 88% of the total variance in engagement fluctuates from activity to activity. Multilevel path analysis results confirmed that during activities, episodic engagement was positively related to performance, and mediated the positive associations of resources and negative associations of hindering demands with performance.

References

  • Bakker, A. B. (2014). Daily fluctuations in work engagement: An overview and current directions. European Psychologist, 19, 227–236. doi: 10.1027/1016-9040/a000160 First citation in articleLinkGoogle Scholar

  • Bakker, A. B. & Bal, M. P. (2010). Weekly work engagement and performance: A study among starting teachers. Journal of Occupational and Organizational Psychology, 83, 189–206. doi: 10.1348/096317909X402596 First citation in articleCrossrefGoogle Scholar

  • Bakker, A. B. & Demerouti, E. (2014). Job demands – resources theory. In C. CooperP. ChenEds., Wellbeing: A complete reference guide (pp. 37–64). Chichester, UK: Wiley-Blackwell. First citation in articleGoogle Scholar

  • Bakker, A. B. & Oerlemans, W. G. M. (2011). Subjective well-being in organizations. In K. S. CameronG. M. SpreitzerEds., Handbook of positive organizational scholarship (pp. 178–189). New York, NY: Oxford University Press. First citation in articleGoogle Scholar

  • Beal, D. J., Weiss, H. M., Barros, E. & MacDermid, S. M. (2005). An episodic process model of affective influences on performance. The Journal of Applied Psychology, 90, 1054–1068. doi: 10.1037/0021-9010.90.6.1054 First citation in articleCrossrefGoogle Scholar

  • Bentler, P. M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107, 228–246. doi: 10.1037/0033-2909.107.2.238 First citation in articleCrossrefGoogle 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. The Journal of Applied Psychology, 95, 834–848. doi: 10.1037/a0019364 First citation in articleCrossrefGoogle Scholar

  • Daniels, K., Beesley, N., Wimalasiri, V. & Cheyne, A. (2013). Problem solving and well-being: Exploring the instrumental role of job control and social support. Journal of Management, 39, 1016–1043. doi: 10.1177/0149206311430262 First citation in articleCrossrefGoogle Scholar

  • Daniels, K., Harris, C. & Briner, R. B. (2004). Linking work conditions to unpleasant affect: Cognition, categorization and goals. Journal of Occupational and Organizational Psychology, 77, 343–363. doi: 10.1348/0963179041752628 First citation in articleCrossrefGoogle Scholar

  • Fisher, C. D. & Noble, C. S. (2004). A within-person examination of correlates of performance and emotions while working. Human Performance, 17, 145–168. doi: 10.1207/s15327043hup1702_2 First citation in articleCrossrefGoogle Scholar

  • Hackman, J. R. & Oldham, G. R. (1980). Work redesign. Reading, MA: Addison-Wesley. First citation in articleGoogle Scholar

  • Hakanen, J. J., Bakker, A. B. & Demerouti, E. (2005). How dentists cope with their job demands and stay engaged: The moderating role of job resources. European Journal of Oral Sciences, 113, 479–487. doi: 10.1111/j.1600-0722.2005.00250.x First citation in articleCrossrefGoogle Scholar

  • Hakanen, J. J., Perhoniemi, R. & Toppinen-Tanner, S. (2008). Positive gain spirals at work: From job resources to work engagement, personal initiative and work-unit innovativeness. Journal of Vocational Behavior, 73, 78–91. doi: 10.1016/j.jvb.2008.01.003 First citation in articleCrossrefGoogle Scholar

  • Halbesleben, J. R. B. (2010). A meta-analysis of work engagement: Relationships with burnout, demands, resources, and consequences. In A. B. BakkerM. P. LeiterEds., Work engagement: A handbook of essential theory and research (pp. 102–117). New York, NY: Psychology Press. First citation in articleGoogle Scholar

  • Hektner, J. M., Csikszentmihalyi, M. & Schmidt, J. A. (2007). Experience sampling method: Measuring the quality of everyday life. Thousand Oaks, CA: Sage. First citation in articleCrossrefGoogle Scholar

  • Hopstaken, J. F., van der Linden, D., Bakker, A. B. & Kompier, M. A. J. (2015). The window of my eyes: Task disengagement and mental fatigue covary with pupil dynamics. Biological Psychology, 110, 100–106. doi: 10.1016/j.biopsycho.2015.06.013 First citation in articleCrossrefGoogle Scholar

  • Ilies, R., Dimotakis, N. & De Pater, I. E. (2010). Psychological and physiological reactions to high workloads: Implications for well-being. Personnel Psychology, 63, 407–436. doi: 10.1111/j.1744-6570.2010.01175.x First citation in articleCrossrefGoogle Scholar

  • Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33, 692–724. doi: 10.2307/256287 First citation in articleCrossrefGoogle Scholar

  • Kahn, R. L., Wolfe, D. M., Quinn, R. P., Snoek, J. D. & Rosenthal, R. A. (1964). Organizational stress: Studies in role conflict and ambiguity. New York, NY: Wiley. First citation in articleGoogle Scholar

  • Kline, R. N. (2005). Principles and practice of structural equation modeling (2nd ed.). New York, NY: Guilford. First citation in articleGoogle Scholar

  • Kühnel, J., Sonnentag, S. & Bledow, R. (2012). Resources and time pressure as day-Ievel antecedents of work engagement. Journal of Occupational and Organizational Psychology, 85, 181–198. doi: 10.1111/j.2044-8325.2011.02022.x First citation in articleCrossrefGoogle Scholar

  • Maas, C. J. & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1, 86–92. doi: 10.1027/1614-1881.1.3.86 First citation in articleLinkGoogle Scholar

  • Ohly, S., Sonnentag, S., Niessen, C. & Zapf, D. (2010). Diary studies in organizational research: An introduction and some practical recommendations. Journal of Personnel Psychology, 9, 79–93. doi: 10.1027/1866-5888/a000009 First citation in articleLinkGoogle Scholar

  • Peugh, J. L. & Enders, C. K. (2004). Missing data in educational research: A review of reporting practices and suggestions for improvement. Review of Educational Research, 74, 525–556. doi: 10.3102/00346543074004525 First citation in articleCrossrefGoogle Scholar

  • Preacher, K. J., Curran, P. J. & Bauer, D. J. (2006). Probing interactions in multiple linear regression, latent curve analysis, and hierarchical linear modeling: Interactive calculation tools for establishing simple intercepts, simple slopes, and regions of significance [Computer software]. Available from http://quantpsy.org/ First citation in articleGoogle 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. The Journal of Applied Psychology, 94, 1438–1451. doi: 10.1037/a0016752 First citation in articleCrossrefGoogle Scholar

  • Schaufeli, W. B. & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25, 293–315. doi: 10.1002/job.248 First citation in articleCrossrefGoogle Scholar

  • Schaufeli, W. B., Bakker, A. B. & Salanova, M. (2006). The measurement of work engagement with a short questionnaire: A cross-national study. Educational and Psychological Measurement, 66, 701–716. doi: 10.1177/0013164405282471 First citation in articleCrossrefGoogle Scholar

  • Selig, J. P. & Preacher, K. J. (2008). Monte Carlo method for assessing mediation: An interactive tool for creating confidence intervals for indirect effects [Computer software] Available from http://quantpsy.org/ First citation in articleGoogle Scholar

  • Simbula, S. (2010). Daily fluctuations in teachers’ well-being: A diary study using the Job Demands-Resources model. Anxiety, Stress, and Coping, 23, 563–584. doi: 10.1080/10615801003728273 First citation in articleCrossrefGoogle Scholar

  • Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173–180. doi: 10, 1207/s1532790mbr2502_4 First citation in articleCrossrefGoogle Scholar

  • Streiner, D. L. (2005). Finding our way: An introduction to path analysis. Canadian Journal of Psychiatry, 50, 115–122. doi: 10.1177/070674370505000207 First citation in articleCrossrefGoogle Scholar

  • Tadić, M., Oerlemans, W. G. M. & Bakker, A. B. (2014). How challenging was your work today? A diary study on challenge and hindrance job demands and work-related well-being. Manuscript submitted for publication. First citation in articleGoogle Scholar

  • Tucker, L. R. & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrica, 38, 1–10. doi: 10.1007/BF02291170 First citation in articleCrossrefGoogle Scholar

  • Valkeneers, G., Bossaert, C. & Buys, I. (2011). Het taakkenmerken model. Een update en empirische toets van het hernieuwde model [The job characteristics model. An update and empirical test of the renewed model]. Over.Werk. Tijdschrift van Het Steunpunt WSE, 21, 69–74. First citation in articleGoogle Scholar

  • Xanthopoulou, D. & Bakker, A. B. (2013). State work engagement: The significance of within-person fluctuations. In A. B. BakkerK. DanielsEds., A day in the life of a happy worker (pp. 25–40). Abingdon, UK: Psychology Press. First citation in articleGoogle Scholar

  • Xanthopoulou, D., Bakker, A. B., Demerouti, E. & Schaufeli, W. B. (2009). Reciprocal relationships between job resources, personal resources, and work engagement. Journal of Vocational Behavior, 74, 235–244. doi: 10.1016/j.jvb.2008.11.003 First citation in articleCrossrefGoogle Scholar