Abstract
Guiding organizations through transformational changes such as restructuring or adopting new technologies is a daunting task. Such changes generate workforce uncertainty, fear, and resistance, reducing morale, focus and performance. Conventional project management techniques fail to mitigate these disruptive effects, because social and individual changes are non-mechanistic, organic phenomena. CALM (for Change, Adaptation, Learning Model) is an innovative decision support system for enabling change based on CAS principles. CALM provides a low risk method for validating and refining change strategies that combines scenario planning techniques with “what-if” behavioral simulation. In essence, CALM “test drives” change strategies before rolling them out, allowing organizations to practice and learn from virtual rather than actual mistakes. This paper describes the CALM modeling methodology, including our metrics for measuring organizational readiness to respond to change and other major CALM scenario elements: prospective change strategies; alternate futures; and key situational dynamics. We then describe CALM’s simulation engine for projecting scenario outcomes and its associated analytics. CALM’s simulator unifies diverse behavioral simulation paradigms including: adaptive agents; system dynamics; Monte Carlo; event- and process-based techniques. CALM’s embodiment of CAS dynamics helps organizations reduce risk and improve confidence and consistency in critical strategies for enabling transformations.
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Bibliography
Pascale, R., Millemann, M., and Gioja, L. Surfing the Edge of Chaos, p. 12.
Kotter, J.P. Leading Change: Eight Ways Organizational Transformations Fail. Harvard Business Review, March–April, 1995, 59–67.
Herasymowych, M. and Senko, H., Navigating through Complexity: Systems Thinking Guide, 2nd Edition, 2002, www.mhainstitute.ca.
Adler, R. M., “ForeTell: A Simulation-Based Modeling and Analysis Platform for Homeland Security Decision Support”. Proceedings Second IEEE Conf. on Technologies for Homeland Security. Cambridge, MA. May, 2003.
Bar-Yam, Y. Dynamics of Complex Systems, Westview Press, Cambridge, MA 1997.
Epstein, J.M. and Axtell, R., Growing Artificial Societies: Social Science from the Bottom Up. Brookings Institution Press, Washington DC, 1996.
Sterman, J., Business Dynamics: Systems Thinking and Modeling for a Complex World, Cambridge, MA, Irwin McGraw-Hill, 2000.
Fishman, G.S., Monte Carlo: Concepts, Algorithms, and Applications, New York, Springer, 1996.
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© 2012 NECSI Cambridge, Massachusetts
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Adler, R.M., Koehn, D.J. (2012). CALM: Complex Adaptive System (CAS)-Based Decision Support for Enabling Organizational Change. In: Minai, A.A., Braha, D., Bar-Yam, Y. (eds) Unifying Themes in Complex Systems VII. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18003-3_1
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DOI: https://doi.org/10.1007/978-3-642-18003-3_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18002-6
Online ISBN: 978-3-642-18003-3
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