Abstract
In this paper, an adaptive network model for the development of and recovery from burnout was designed and analysed. The current literature lacks adequate adaptive models to describe the processes involved in burnout. In this research, the informal conceptual models from Golembiewski and Leiter-Maslach were combined with additional first- and second-order adaptive components and used to design a computational network model based on them. Four different scenarios were simulated and compared, where the importance of the therapy and the ability to learn from it was emphasised. The results show that if there was no therapy present, the emotion regulation was too poor to have effect. However, at the moment therapy was applied, the emotion regulation would start to help against a burnout. Another finding was that one long therapy session has more effect than several shorter sessions. Lastly, therapy only had a significant long-lasting effect when adaquate neuro-plasticity occurred.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Golembiewski, R.T., Munzenrider, R., Carter, D.: Phases of progressive burnout and their work site covariants: critical issues in OD research and praxis. J. Appl. Behav. Sci. 19(4), 461–481 (1983)
Hebb, D.O.: The Organization of Behavior: A Neuropsychological Theory. Chapman & Hall, London (1949)
Leiter, M.P.: Burnout as a developmental process: consideration of models. In: Schaufeli, W., Maslach, S., Marek, T. (eds.) Professional burnout: Recent developments in theory and research, pp. 237–250. Taylor and Francis, Washington (1993)
Leiter, M.P., Maslach, C.: Latent burnout pro les: a new approach to understanding the burnout experience. Burn. Res. 3(4), 89–100 (2016)
Maijer, M., Solak, E., Treur, J.: An adaptive network model for burnout and dreaming. In: Krzhizhanovskaya, V.V., et al. (eds.) ICCS 2020. LNCS, vol. 12137, pp. 342–356. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50371-0_25
Maslach, C., Jackson, S.E., Leiter, M.P.: The Maslach Burnout Inventory. Consulting Psychologists Press, Palo Alto (1981)
Richardsen, A.M., Burke, R.J.: Models of burnout: Implications for interventions. Int. J. Stress Manag. 2(1), 31–43 (1995)
Robinson, B.L., Harper, N.S., McAlpine, D.: Meta-adaptation in the auditory midbrain under cortical influence. Nat. Commun. 7, e13442 (2016)
Sharma, R.R., Cooper, C.L.: Executive Burnout: Eastern and Western Concepts, Models and Approaches for Mitigation. Emerald Group Publishing, Bradford (2016)
Treur, J.: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-31445-3
Treur, J.: Network-Oriented Modeling: Addressing Complexity of Cognitive, Affective and Social Interactions. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45213-5
Veldhuis, G., Sluijs, T., van Zwieten, M., Bouwman, J., Wiezer, N., Wortelboer, H.: A proof-of-concept system dynamics simulation model of the development of burnout and recovery using retrospective case data. Int. J. Environ. Res. Public Health 17(16), 5964 (2020). https://doi.org/10.3390/ijerph17165964
Appendix (2021). https://www.researchgate.net/publication/348405068
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Weyland, L., Jelsma, W., Treur, J. (2021). Simulation of Burnout Processes by a Multi-order Adaptive Network Model. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12744. Springer, Cham. https://doi.org/10.1007/978-3-030-77967-2_43
Download citation
DOI: https://doi.org/10.1007/978-3-030-77967-2_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-77966-5
Online ISBN: 978-3-030-77967-2
eBook Packages: Computer ScienceComputer Science (R0)