Job demands when exhausted: the relationship between exhaustion and the perception of job demands mediated by self-undermining
DOI:
https://doi.org/10.24837/pru.v18i1.460Keywords:
self-undermining, perception of job demands, exhaustion, perceived workload, IT employeesAbstract
There is a large body of literature devoted to factors that shape performance in organizations. Although much of this literature focuses on the relationships between job demands, job resources and performance, Bakker and his colleagues (2014; 2018) have recently drawn attention to self-undermining effects that can add support for a deeper understanding of such a relationship. The following contribution explores self-undermining related to exhaustion at work and its mediating role in the perception of three types of job demands in a sample of employees working in IT companies. More specifically, the paper draws on the concept of self-undermining to reflect on how it activates a loss cycle of job demands and potential negative reactions at work. We argue that (i) exhaustion has an indirect effect on the perception of job demands through self-undermining; and so on referring to each dimension of job demands: (ii) exhaustion has an indirect effect on the perception of workload through self-undermining; (iii) exhaustion has an indirect effect on the emotional load through self-undermining; (iv) exhaustion has an indirect effect on the cognitive load through self-undermining. In order to test the hypotheses, a cross-sectional design was employed. The regression analyses revealed that self-undermining mediated the relationship between exhaustion and the perception of workload meeting our expectations, and a significant indirect effect of exhaustion on the perception of job demands and emotional load. However, there is a need for future studies to generalize the results. Finally, theoretical and practical implications are discussed.
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References
Bakker, A. B., & Wang, Y. (2019). Self-Undermining Behavior at Work: Evidence of Construct and Predictive Validity. International Journal of Stress Management. Advance online publication. 10.1037/str0000150.
Bakker, A. B., & Demerouti, E. (2018). Multiple levels in job demands-resources theory: Implications for employee well-being and performance. In E. Diener, S. Oishi, & L. Tay (Eds.), Handbook of wellbeing. DEF Publishers.
Bakker, A. B., & Demerouti, E. (2017). Job Demands–Resources theory: Taking stock and lookingforward. Journal of Occupational Health Psychology, 22, 273-285.
Bakker, A. B., & Costa, P. L. (2014). Chronic job burnout and daily functioning: A theoretical analysis. Burnout Research, 1, 112–119.
Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. I. (2014). Burnout andwork engagement: The JD-R approach. Annual Review of OrganizationalPsychology and Organizational Behavior, 1, 389–411.
Bakker, A. B., Albrecht, S. L. & Leiter, M. P. (2011). Key questions regarding work engagement, European Journal of Work and Organizational Psychology, 20(1), 4-28.
Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22, 309-328.
Bakker, A. B., Demerouti, E., de Boer, E. & Schaufeli W., B. (2003). Job demands and job resources as predictors of absence duration and frequency. Journal of Vocational Behavior, 62(2), 341-356.
Bakker, A. B., Schaufeli, W. B., Sixma, H., Bosveld, W., & Van Dierendonck, D. (2000). Patient demands, lack of reciprocity, and burnout: A five-year longitudinal study among gen-eral practitioners. Journal of Organizational Behavior, 21, 425-441.
Bollen, K. A., & Stine, R. (1990). Direct and indirecteffects: Classical and bootstrap estimates of variability.Sociological Methodology, 20, 115–140.
Caplan, R., Cobb, S., French, J., Van Harrison, R., &Pinneau, S. (1980). Job demandsand worker health: Main effects and occupational differences. Ann Arbor,MI: Institute for Social Research.
Cavanaugh, M. A., Boswell, W. R., Roehling, M. V., & Boudreau, J. W.(2000). An empirical examination of self-reported work stress amongU.S. managers. Journal of Applied Psychology, 85, 65–74.
Crawford, E. R., Lepine, J. A., & Rich, B. L. (2010). Linking job demandsand resources to employee engagement and burnout: A theoreticalextension and meta-analytic test. Journal of Applied Psychology, 95,834–848
De Lange, A.H., Taris, T.W., Kompier, M.A., Houtman, I.L., &Bongers, P.M.(2003). “The very best of the millennium”: Longitudinal research and the demand-control-(support) model. Journal of Occupational Health Psychology, 8(4),282–305.
Demerouti, E., & Bakker, A. B., & Leiter, M. (2014). Burnout and Job Performance: The Moderating Role of Selection, Optimization, and Compensation Strategies. Journal of Occupational Health Psychology, 19(1), 96–107.
Demerouti, E., & Bakker, A. B. (2011). The Job Demands–Resources model: Challenges for future research. SA Journal of Industrial Psychology,37(2), 1–9.
Demerouti, E., Le Blanc, P.M., Bakker, A.B., Schaufeli, W.B. & Hox J. (2009). Present but sick: a three‐wave study on job demands, presenteeism and burnout. Career Development International, 14(1), 50-68
Demerouti, E., Bakker, A. B., &Bulters, A. J. (2004). The loss spiral of work pressure, work-home interference and exhaustion: Reciprocal relations in a three-wave study. Journal of Vocational Behavior, 64, 131-149.
Demerouti, E., Bakker, A. B., Nachreiner, F. & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499-512.
Digman, J.M. (1990) Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41, 417-440.
Fitzgerald, B., &Stol, K. J. (2017). Continuous software engineering: A roadmap and agenda. Journal of Systems and Software,123, 176–189.
FossoWamba, S., Gunasekaran, A., Akter, S., Ren, S. J.-f., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance:Effects of dynamic capabilities. Journal of Business Research, 70, 356–365.
Furuyama, T., Arai, Y., &Iio, K. (1997). Analysis of fault generation caused by stress during software development. Journal ofSystems and Software, 38, 13–25.
Gerich, J., Weber, C. (2020). The Ambivalent Appraisal of Job Demands and the Moderating Role of Job Control and Social Support for Burnout and Job Satisfaction. Soc Indic Res 148, 251–280.
Glomb, T. A., Kammeyer-Mueller, J. D., &Rotundo, M. (2004). Emotional labor demands and compensating wage differentials.Journal of Applied Psychology, 89(4), 700–714.
Hakanen, J. J., Schaufeli, W. B., Ahola, K. (2008). The job demandsresourcesmodel: A three-year cross-lagged study of burnout, depression,commitment, and work engagement. Work and Stress, 22, 224–241.
Hakanen, J.J., Bakker A.B. & Schaufeli W.B. (2006). Burnout and work engagement among teachers. Journal of School Psychology, 43(6), 495-513.
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. Eur J Oral Sci, 113, 479–487.
Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling [White paper]. Retrieved from http://www.afhayes.com/public/process2012.pdf
Jones, E., E. &Berglas, S. (1978). Control of Attributions about the Self Through Self-handicapping Strategies: The Appeal of Alcohol and the Role of Underachievement. Sage Journals, 4(2), 200-206.
Karasek, R. A. (1979). Job demands, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly,24(2), 285.
Karasek, R., & Theorell, T. (1999). Healthy work: Stress, productivity, and the reconstruction of working life (6th ed.). Basic Books.
Kim, S., & Wright, B. E. (2007). IT Employee Work Exhaustion: Toward an Integrated Model of Antecedents and Consequences. Review of Public Personnel Administration, 27(2), 147–170.
Lee, R. T. &Ashforth, B. E. (1996). A meta-analytic examination of the correlates of the three dimensions of job burnout. Journal of Applied Psychology, 81(2), 123-133.
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.
MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000).Equivalence of the mediation, confounding and suppression effects. Prevention Science, 1, 173–181.
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52, 397-422.
Moeller, J., Ivcevic, Z., White, A., Menges, J. and Brackett, M. (2018). Highly engaged but burned out: intra-individual profiles in the US workforce.Career Development International, 23(1), pp. 86-105.
Podsakoff, N. P., LePine, J. A., &LePine, M. A. (2007). Differential challenge stressor-hindrance stressor relationships with job attitudes, turnover intentions, turnover, and withdrawal behavior: A meta-analysis. Journal of Applied Psychology, 92(2), 438–454.
Salanova, M., Schaufeli, W. B., Xanthopoulou, D., & Bakker, A. B. (2010). Gain spirals of resources andwork engagement. In A. B. Bakker & M. P. Leiter (Eds.), Work engagement: A handbook of essentialtheory and research (pp. 118-131). Psychology Press
Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. B.(2002). The measurement of engagement and burnout: A two sampleconfirmatory factor analytic approach. Journal of HappinessStudies, 3(1), 71–92.
Schaufeli, W. & Bakker, A. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25, 293–315.
Schaufeli, W. B., Bakker, A. B., & Van Rhenen, W. (2009). How changes in job demands and resources predict burnout, work engagement, and sickness absenteeism. Journal of Organizational Behavior, 30, 893-917.
Schaufeli, W. B., Bakker, A. B., &Salanova, M. (2006). The measurement of work engagement with a brief questionnaire: A cross-national study. Educational and Psychological Measurement, 66, 701-716.
Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7(4), 422–445.
Ten Brummelhuis, L. L., Ter Hoeven, C. L., Bakker, A. B., &Peper, B. (2011). Breaking through the loss cycle of burnout: The role of motivation. Journal of Occupational and Organizational Psychology, 84, 268–287.
Van Veldhoven, M. J. P. M., Taris, T. W., de Jonge, J., &Broersen, S. (2005). The relationshipbetween work characteristics and employee health and well-being: How much complexity dowe really need? International Journal of Stress Management, 12, 3–28.
Venkatesh, V., Rai, A., &Maruping, L. (2018). Information systems projects and individual developer outcomes: Role of projectmanagers and process control. Information Systems Research, 29, 127–148.
Vohs, K.D., Faber, R.J. (2007). Spent resources: Self-regulatory resource availability affects impulse buying. Journal of Consumer Research, 33, 537–547.
Zapf, D., Dormann, C. &Frese, M. (1996). Longitudinal studies in organizational stress research: A review of the literature with reference to methodological issues. Journal of Occupational Health Psychology, 1(2), 145-169.
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