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Systems science is an academic field that has been organizing creative techniques in its toolbox over the years, and creative techniques in this discipline are called systems techniques. Systems science aims to solve problems using a method of thought that focuses on relationships between elements. At its inception, the ambition was to solve many problems in different areas using the same mathematical model. However, this was difficult when extending the scope of application to a system deeply related to humans who have their own intentions. Over time, soft systems approaches to handling human relationships in addition to complexity have emerged. One of them is soft systems methodology. Since this methodology is intended to activate discussion for a compromise, it is useful for group idea creation.
- Ashby, W. R. (1958). Requisite variety and its implications for the control of complex systems. Cybernetica, 1(2), 83–99.Google Scholar
- Checkland, P. B. (1981). Systems thinking, systems practice. Chichester: Wiley.Google Scholar
- Csikszentmihalyi, M. (2015). The systems model of creativity: The collected works of Mihaly Csikszentmihalyi. New York: Springer.Google Scholar
- Kijima, K. (1999). What is the soft system methodology? Journal of Japan Fuzzy Society, 11(3), 369–381. (In Japanese).Google Scholar
- Nonaka, I., Hirose, A., & Ishi, Y. (2013). Management by knowledge maneuverability: Synthesizing knowledge creation and maneuver warfare. Hitotsubashi Business Review, 61(3), 120–137. Toyo Keizai Inc. (In Japanese).Google Scholar
- Simon, H. A. (1957). A behavioral model of rational choice, in models of man, social and rational: Mathematical essays on rational human behavior in a social setting. New York: Wiley.Google Scholar