Abstract
This work explores the concept of improvisation as a framework for understanding real-time dynamic decision making (RTDDM) and systems support for it. The contexts for RTDDM and those in which agents improvise are remarkably similar according to several parameters. The foundations of improvisation are built on management theory, practice, and education. The work provides a rich definition of improvisation and a typology of different improvisational contexts based on two key dimensions. This framework illustrates how seemingly diverse contexts such as emergency management and jazz performance are related. The work then explores the antecedents of improvisation, degrees of improvisation, the elements for individual and team improvisation, and effective improvisation. The work then explores the design of Real-Time dynamic decision support systems (DSS). These are broken into pre- and postperformance support, as well as Real-Time support. The conclusion is that our knowledge of improvisational contexts can shed new light on RTDDM systems design and development.
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References
Argyris, C. and D.A. Schon, Organizational Learning: A Theory of Action Perspective, Reading: Addision-Wesley, 1978.
Barrett, F. J., Creativity and improvisation in jazz and organizations: Implications for organizational learning, Organization Science, 9(5), 605–622, Sept–Oct, 1998.
Berliner, P., Thinking in Jazz: The Infinite Art of Improvisation, Chicago: University of Chicago Press, 1994.
Brehmer, B., Strategies in Real-Time, dynamic decision making, In R.M. Hogerth, ed., Insights in Decision Making, Chicago: University of Chicago Press, 1990, pp. 262–279.
Brehmer, B., Dynamic decision making: Human control of complex systems, Acta Psychologica, 81(3), 211–241, 1992.
Burstein, F. and C.W. Holsapple, New horizons at the core of information systems: Decision support system advances, Information Systems and eBusiness Management, 6(2), 109–115, 2008.
Csikszentmihalyi, M., Flow: The Psychology of Optimal Experience, New York: Harper Perennial, 1991.
Csikszentmihalyi, M., Beyond Boredom and Anxiety: Experiencing Flow in Work and Play, New York: Jossey-Bass, 2000.
Drucker, P., Innovation and Entrepeneurship: Practice and Principles, New York: Harper & Row, 1985.
Edwards, W., Dynamic decision theory and probabilistic information processing, Human Factors, 4, 59–73, 1962.
Emery, F. and E. Trist, The causal texture of organizational environments, Human Relations, 18, 21–32, 1965.
Garner, H., Creating Minds: An Anatomy Of Creativity As Seen Through The Lives Of Freud, Einstein, Picasso, Stravinsky, Eliot, Graham, And Gandhi, New York: Basic Books, 1993.
Gorry, A. and Morton, M.S.S. A framework for management information systems, Sloan Management Review, 13(1), 55–70, Fall, 1971, Massachusetts Institute of Technology.
Hall, D.J. and D. Paradice, Philosophical foundations for a learning-oriented knowledge management system for decision support, Decision Support Systems, 39(3), 445–461, 2005.
Huber, G.P., The nature and design of post-industrial organizations, Management Science, 30(8), 928–951, 1984.
Jones, T.M., Ethical decision making by individuals in organizations: An issue-contingent model, The Academy of Management Review 16(2), 366, 1991.
Kamoche, K. and Miguel Pina e Cunha, Minimal structures: From jazz improvisation to product innovation, Organization Studies, 22(5), 733, 2001, Berlin.
Lerch, F.J. and Harter, D.E., Cognitive support for Real-Time dynamic decision making, Information Systems Research, 12(1), 63–82, 2001.
Luecke, R. and R. Katz, Managing Creativity and Innovation. Boston: Harvard Business School Press, 2003.
Lytras, M.D. and A. Pouloudi, Towards the development of a novel taxonomy of knowledge management systems from a learning perspective: An integrated approach to learning and knowledge infrastructures, Journal of Knowledge Management, 10(6), 64–80, 2006.
McKnight, B. and N. Bontis, E-improvisation: Collaborative groupware technology expands the reach and effectiveness of organizational improvisation, Knowledge and Process Management, 9(4), 219, Oct–Dec 2002, Chichester.
Morazzoni, A.M., Challenging wisdom, European Journal of Information Systems, 14(5), 522, Dec 2005, Basingstoke.
Seguin, R., J.-Y. Potvin, M. Gendreau, T.G. Crainic, and P. Marcotte, Real time decision problems: An operational research perspective, The Journal of the Operational Research Society, 48(2), 162–174, 1997.
Special issue of Organization Science, 9(5), Sept–Oct, 1998.
Simon, H.A., The New Science of Management Decision. New York: Harper & Row, 1960.
Six, F. and A. Sorge, Creating a high-trust organization: An exploration into organizational policies that stimulate interpersonal trust building, The Journal of Management Studies, 45(5), 857, 2008.
Stein, E.W., Organizational memory: Review of concepts and recommendations for management, International Journal of Information Management, 15(1), 17–32, 1995.
Stein, E.W., A qualitative study of the characteristics of a community of practice for knowledge management (KM) and its success factors, International Journal of Knowledge Management, 1(3), 1–24, Jul–Sept 2005.
Stein, E.W and N. Ahmad, Using the analytical hierarchy process (AHP) to construct a measure of the magnitude of consequences component of moral intensity, The Journal of Business Ethics, 89,391–407, 2009.
Stein, E.W. and V. Zwass, Actualizing organizational memory with information technology, Information Systems Research, 6(2), 85–117, 1995.
Tagiuri, R., On ‘Good’ Communication, Boston: Harvard Business School Publishing, 1972, 1993, #9-475-013.
Turban, E., J. Aronson, T.P. Liang, and R. Sharda, Decision Support and Business Intelligence Systems. Upper Saddle River: Prentice Hall, 2007.
Watson, H.J., R. Kelly Rainer, Jr., and C.E. Koh, Executive information systems: A framework for development and a survey of current practices, MIS Quarterly, 15(1), 13, 1991.
Weick, K.E, Improvisation as a mindset for organizational analysis, Organization Science, 9(5), 540–545, Sept–Oct 1998.
Yueh, H.-P. and S. Hsu, “Designing a learning management system to support instruction,” association for computing machinery, Communications of the ACM, 51(4), 59, 2008.
Zack, M.H., Jazz improvisation and organizing: Once more from the top, Organization Science, 11(2), 227, Mar/Apr 2000.
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Stein, E.W. (2011). Improvisation as Model for Real-Time Decision Making. In: Burstein, F., Brézillon, P., Zaslavsky, A. (eds) Supporting Real Time Decision-Making. Annals of Information Systems, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7406-8_2
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