Abstract
Increasingly, management scientists have paid attention to developments in other sciences, which could be of interest for improved understanding of the complex behavior of systems in a managerial context. The sciences which are working with non-linear and dynamic systems are multiple and therefore we want to limit this overview. Those sciences which we have a look into are: physics, neurobiology, cognitive psychology and computer sciences. For a better understanding of systems behavior (e.g. market behavior) we need to attack some theoretical concepts. We will limit them as much as possible. For each concept a brief theoretical introduction is given but we also try to make it more accessible for the manager via examples. Each of the concepts refers to a limited bibliography in itself. Some reference works will be given which allows the interested reader to go a little further, without becoming too involved in the details. The suggested books, in turn, all have an extended bibliography for the very interested or very advanced reader.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Abraham R and Shaw C, 1983. Dynamics: the Geometry of Behavior (4 vols.). Santa Cruz: Aerial Press.
Angell I and Smithson S, 1991. Information Systems Management. London: Macmillan Information Systems Series.
Applegate L, Cash J and Mills D, 1988. Information Technology and Tomorrow’s Manager. Harvard Business Review. Vol. 66, November-December, pp. 128–136.
Caverni J P, Bastien C, Mendelsohn P, Tigerghien G, (eds.), 1991. Psychologie cognitive: Modèles et Méthodes. Presses Universitaires de Grenoble.
Cleeremans A, 1993. Mechanisms of Implicit Learning: connectionist models of sequence processing. Cambridge: MIT Press.
Crutchfield J, Farmer J, Packard N and Shaw R, 1986. Chaos. Scientific American. December, pp. 38–49.
Daft R L and Huber G. How organizations learn: a communication framework in Research in sociology of organizations (Edited by Bucharach S and Tomasso N), Vol. 5. Greenwich, CT: JAI press.
de Callatay A, 1992. Natural and Artificial Intelligence: Misconceptions about Brains and Neural Networks. Amsterdam: North-Holland.
de Geus A, 1988. Planning as learning. Harvard Business Review. March/April, pp. 70–74.
Devenay R, 1986. An Introduction to Chaotic Dynamical Systems. Menlo Park: Benjamin-Cummings.
Dixon N M, 1992. Organizational Learning: A Review of the literature with implications for HRD Professionals. Human Resource Development Quarterly. Nr. 3 (Spring), pp. 29–49.
Dreyfus H, 1993. What computers still cannot do. MIT Press.
Drucker PF, 1988. The coming of the new organization. Harvard Business Review. Jan-Feb, pp. 45–53.
Ehrlich M F, Tardieu H and Cavazza M (eds.), 1993. Les Modèles Mentaux: Approche cognitive des représentations. Paris: Masson.
Franklin S, 1995. Artificial Minds. MIT Press.
Garvin DA, 1993. Building a Learning Organization. Harvard Business review. July-August, pp. 78–91.
Genelot D, 1992. Manager dans la complexité. Insep Editions.
Gleick J, 1988. Chaos: Making a new science. London: Heinemann.
Holden A (ed.), 1986. Chaos. Manchester: Manchester University Press.
Khalfa J (ed.), 1994. What is Intelligence. Cambridge University Press.
Lee S, Courtney J F, and O’Keefe R M, 1992. A System for organizational Learning Using Cognitive Maps. OMEGA. Vol. 20, Nr. 1, pp. 23–36.
Lessem R, 1991. Total Quality Learning - Building a Learning organization. Oxford, UK: Bassil Blackwell Ltd.
Mandelbrot B, 1982. The Fractal Geometry of Nature. San Francisco: Freeman.
Maturana H and Varela F, 1984. The tree of knowledge, The Biological Roots of Human Understanding. Scherz Verlag.
Merry U, 1995. Coping with uncertainty: Insights from the new sciences of chaos, self organization and complexity. Praeger.
Nicolis G and Prigogine I, 1989. Exploring Complexity. Freeman.
Nonaka I, 1988. Towards middle-up-down management: accelerating information creation. Sloan Management Review. Vol. 29, Nr. 3.
Nonaka I, 1991. The knowledge creating company. Harvard Business Review. Year 69, Nr. 6.
Pedler M, Burgoyne J and Boydell T, 1991. The Learning Company - A Strategy for Sustainable Development. London: McGraw Hill Book Company.
Peters E, 1991. Chaos and order in the capital markets. NY: John Wiley & Sons.
Quinn J B, 1992. Intelligent Enterprise. New York: The Free Press.
Schuster H, 1984. Deterministic Chaos: an Introduction. Weinheim: Physik-Verlag.
Shukla M, 1994. Knowledge-based Organizations: How companies use knowledge as a Strategic Leverage (Unpublished manuscript). XLRI Jamshedpur (India)/ESADE (Barcelona).
Stacey R, 1992. Managing Chaos. Kogan Page.
Stewart I, 1987. The Problem of mathematics. Oxford: Oxford University Press.
Stewart I, 1989. Does God Play Dice: The Mathematics of Chaos. Oxford: Basil Blackwell Inc.
Swieringa J and Wierdsma A, 1993. The learning organization. Addison-Wesley.
Thompson J and Stewart H, 1986. Non-linear Dynamics and Chaos. NY: John Wiley.
Winograd T and Flores F, 1986. Understanding computers and cognition. Addison-Wesley.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media New York
About this chapter
Cite this chapter
Baets, W.R.J. (1998). What Can We Learn from Dynamic Behavior of Systems. In: Organizational Learning and Knowledge Technologies in a Dynamic Environment. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5773-9_2
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5773-9_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-7923-8530-1
Online ISBN: 978-1-4615-5773-9
eBook Packages: Springer Book Archive