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Computational Analysis of Transformational Organisational Change with Focus on Organisational Culture and Organisational Learning: An Adaptive Dynamical Systems Modeling Approach

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Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 468))

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Abstract

Transformative Organisational Change becomes more and more significant both practically and academically, especially in the context of organisational culture and learning. However computational modeling and formalization of organisational change and learning processes are still largely unexplored. This chapter aims to provide an adaptive network model of transformative organisational change and translate a selection of organisational learning and change processes into computationally modeled processes. Additionally, it sets out to connect the dynamic systems view of organisations to self-modeling network models. The creation of the model and the implemented mechanisms of organisational processes are based on extrapolations of an extensive literature study and grounded in related work in this field, and then applied to a specified hospital-related case scenario in the context of safety culture. The model was evaluated by running several simulations and variations thereof. The results of these were investigated by qualitative analysis and comparison to expected emergent behaviour based on related available academic literature. The simulations performed confirmed the occurrence of an organisational transformational change towards a constant learning culture by offering repeated and effective learning and changes to organisational processes. Observations about various interplays and effects of the mechanism have been made, and they exposed that acceptance of mistakes as a part of learning culture facilitates transformational change and may foster sustainable change in the long run.. Further, the model confirmed that the self-modeling network model approach applies to a dynamic systems view of organisations and a systems perspective of organisational change. The created model offers the basis for the further creation of self-modeling network models within the field of transformative organisational change and the translated mechanisms of this model can further be extracted and reused in a forthcoming academic exploration of this field.

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References

  • Anderson, D., Anderson, L.A.: Beyond Change Management: Advanced Strategies for Today’s Transformational Leaders. Wiley (2002)

    Google Scholar 

  • Beech, C.E., Dowty, R.A., Wallace, W.A.: The dynamics of organizational response: simulating cultural change. Int. J. Complex. Leadership Manag. 14, 2(1–2), 74–103 (2012)

    Google Scholar 

  • Bhalwankar, R., Treur, J.: ‘What if I would have done otherwise…’: a controlled adaptive network model for mental models in counterfactual thinking. In: Mental Models and Their Dynamics, Adaptation, and Control, pp. 117–138. Springer (2022)

    Google Scholar 

  • Burns, J.M.: Leadership. Harper & Row, New York, NY (1978)

    Google Scholar 

  • Canbaloğlu, G., Treur, J., Roelofsma, P.H.M.P.: Computational modeling of organizational learning by self-modeling networks. Cogn. Syst. Res. 73, 51–64 (2022a)

    Article  Google Scholar 

  • Canbaloğlu, G., Treur, J., & Wiewiora, A.: Computational modeling of multilevel organizational learning: from conceptual to computational mechanisms. In: Computational Intelligence, Proceedings of InCITe’22. Lecture Notes in Electrical Engineering, vol. 968, pp 1–17. Springer Nature, Cham (2022b)

    Google Scholar 

  • Canbaloğlu, G., Treur, J., Roelofsma, P.H.M.P.: An adaptive self-modeling network model for multilevel organizational learning. In: Proceedings of the 7th International Congress on Information and Communication Technology, ICICT’22. Lecture Notes in Networks and Systems, vol. 448, pp. 179–191. Springer Nature Switzerland AG (2023a)

    Google Scholar 

  • Canbaloğlu, G., Treur, J., Wiewiora, A. (eds.): Computational Modeling of Multilevel Organizational Learning and Its Control Using Self-modeling Network Models (this volume). Springer Nature, Cham (2023b)

    Google Scholar 

  • Clark, G.: Organizational culture and safety: an interdependent relationship. Aust. Health Rev. 25(6), 181–189 (2002)

    Article  Google Scholar 

  • Cresswell, J.: Qualitative inquiry and research design, 2nd edn. Sage, Thousand Oak, CA, (2007)

    Google Scholar 

  • Crossan, M.M., Lane, H.W., White, R.E.: An organizational learning framework: from intuition to institution. Acad. Manag. Rev. 24(3), 522–537 (1999)

    Article  Google Scholar 

  • Edmondson, A.C., McManus, S.E.: Methodological fit in management field research. Acad. Manag. Rev. 32(4), 1246–1264 (2007)

    Article  Google Scholar 

  • Farla, J., Markard, J., Raven, R., Coenen, L.: Sustainability transitions in the making: a closer look at actors, strategies and resources. Technol. Forecast. Soc. Chang. 79(6), 991–998 (2012)

    Article  Google Scholar 

  • Haack, P., Martignoni, D., Schoeneborn, D.: A bait-and-switch model of corporate social responsibility. Acad. Manag. Rev. 46(3), 440–464 (2021)

    Article  Google Scholar 

  • Halligan, M., Zecevic, A.: Safety culture in healthcare: a review of concepts, dimensions, measures and progress. BMJ Qual. Saf. 20(4), 338–343 (2011)

    Article  Google Scholar 

  • Hazy, J.K., Silberstang, J.: Leadership within emergent events in complex systems: micro-enactments and the mechanisms of organizational learning and change. Int. J. Learn. Chang. 3(3), 230–247 (2009)

    Article  Google Scholar 

  • Hendrikse, S.C.F., Treur, J., Koole, S.L.: Modeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model. International Journal of Neural Systems (2023). https://doi.org/10.1142/S0129065723500387

  • Hornstein, H.A.: The integration of project management and organizational change management is now a necessity. Int. J. Project Manag. 33(2), 291–298 (2015)

    Article  Google Scholar 

  • Johnson, A., Nguyen, H., Groth, M., Wang, K., Ng, J.L.: Time to change: a review of organizational culture change in health care organizations. J. Org. Effect. People Perform. (2016)

    Google Scholar 

  • Kucharska, W., Bedford, D.A.: Love your mistakes!—they help you adapt to change. How do knowledge, collaboration and learning cultures foster organizational intelligence? J. Org. Chang. Manag. (2020)

    Google Scholar 

  • Kucharska, W.: Do mistakes acceptance foster innovation? Polish and US cross-country study of tacit knowledge sharing in IT. J. Knowl. Manag. (2021)

    Google Scholar 

  • Lewin, K.: Field Theory in Social Science. Harper and Row, New York (1951)

    Google Scholar 

  • Limwichitr, S., Broady-Preston, J., Ellis, D.: A discussion of problems in implementing organizational cultural change: developing a learning organization in university libraries. Library Review. (2015)

    Google Scholar 

  • Łukasik, K.: Mechanisms of changes of organizational culture in corporate environment. Organizacja i Zarządzanie: kwartalnik naukowy. (2018)

    Google Scholar 

  • Maes, G., Van Hootegem, G.: A systems model of organizational change. J. Org. Chang. Manag. (2019)

    Google Scholar 

  • Mangels, J.A., Butterfield, B., Lamb, J., Good, C., Dweck, C.S.: Why do beliefs about intelligence influence learning success? A social cognitive neuroscience model. Soc. Cogn. Affect. Neurosci. 1(2), 75–86 (2006)

    Article  Google Scholar 

  • Mascarenhas, S.O.A.: The ethics of corporate critical thinking. In: Corporate Ethics for Turbulent Markets. Emerald Publishing Limited (2019)

    Google Scholar 

  • Mohsin, S.U., Ibrahim, Y., Levine, D.: Teaching medical students to recognise and report errors. BMJ Open Qual. 8(2), e000558 (2019)

    Article  Google Scholar 

  • Ojogiwa, O.T., Qwabe, B.R.: Leveraging on the management of organizational cultural change for an improved change outcome in the Nigerian public health sector. Afr. J. Gov. Dev. 10(1), 61–79 (2021)

    Google Scholar 

  • Rass, L., Treur, J., Kucharska, W., Wiewiora, A.: Computational modelling of transformational organizational change in the context of organizational culture & learning: from theory towards a computational model with an application in hospital-related safety culture. Cogn. Syst. Res. (2023)

    Google Scholar 

  • Rebelo, T.M., Gomes, A.D.: Conditioning factors of an organizational learning culture. J. Work. Learn. (2011)

    Google Scholar 

  • Sandberg, J., Alvesson, M.: Ways of constructing research questions: gap-spotting or problematization? Organization 18(1), 23–44 (2011)

    Article  Google Scholar 

  • Schein, E.H.: Organizational Culture and Leadership, vol. 2. Wiley (2010)

    Google Scholar 

  • Senge, P.M.: The fifth discipline: the art and practice of the learning organization: currency. (2006)

    Google Scholar 

  • Sharpanskykh, A., Stroeve, S.H.: An agent-based approach for structured modeling, analysis and improvement of safety culture. Comput. Math. Organ. Theory 17(1), 77–117 (2011)

    Article  Google Scholar 

  • Tranfield, D., Denyer, D., Smart, P.: Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br. J. Manag. 14(3), 207–222 (2003)

    Article  Google Scholar 

  • Treur, J.: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. Springer Nature, Cham (2020)

    Google Scholar 

  • Treur, J.: Adaptive networks at the crossroad of artificial intelligence and formal, biological, medical, and social sciences. In: Rezaei, N. (ed.) Integrated Science, vol. 1, pp. 335–375. Springer Nature, Cham (2021a). https://doi.org/10.1007/978-3-030-65273-9_17

  • Treur, J.: Dynamic modeling based on a temporal–causal network modeling approach. Biol. Inspired Cogn. Arch. 16, 131–168 (2016)

    Google Scholar 

  • Treur, J.: On the dynamics and adaptivity of mental processes: relating adaptive dynamical systems and self-modeling network models by mathematical analysis. Cogn. Syst. Res. 70, 93–100 (2021b)

    Article  Google Scholar 

  • Weick, K.E., Quinn, R.E.: Organizational change and development. Annu. Rev. Psychol. 50(1), 361–386 (1999)

    Article  Google Scholar 

  • Wiewiora, A., Chang, A., Smidt, M.: Individual, project and organisational learning flows within a global project-based organisation: exploring what, how and who. Int. J. Project Manag. 38(4), 201–214 (2020)

    Article  Google Scholar 

  • Wijethilake, C., Upadhaya, B., Lama, T.: The role of organisational culture in organisational change towards sustainability: evidence from the garment manufacturing industry. Prod. Plan. Control 1–20 (2021)

    Google Scholar 

  • Willis, C.D., Saul, J., Bevan, H., Scheirer, M.A., Best, A., Greenhalgh, T., et al.: Sustaining organisational culture change in health systems. J. Health Org. Manag. (2016)

    Google Scholar 

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Correspondence to Jan Treur .

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Rass, L., Treur, J., Kucharska, W., Wiewiora, A. (2023). Computational Analysis of Transformational Organisational Change with Focus on Organisational Culture and Organisational Learning: An Adaptive Dynamical Systems Modeling Approach. In: Canbaloğlu, G., Treur, J., Wiewiora, A. (eds) Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models. Studies in Systems, Decision and Control, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-28735-0_15

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