Abstract
The behavior of a complex social system is unpredictable because both the uncertainties and the complex interactions in the system affect its future behavior. Existing scenario analysis methods focus on the effects of complex interactions of the system upon the system’s behavior, rather than the uncertainties in the system. The purpose of this paper is to develop a novel scenario analysis method that mainly focuses on evaluating a range of possible outcomes in a system based on selected uncertainties. We validate this method by applying it to a case example in which the configuration of an evaluation system for a sales division is examined.
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References
North M, Macal CM (2007) Managing business complexity: discovering strategic solutions with agent-based modeling and simulation.Oxford University Press, New York
Takahashi S (2008) Organization design and social simulation. Commun Oper Res Soc Jpn 53(12):686–691 (in Japanese)
Deguchi H (2009) Dawn of agent-based social systems sciences. In: Deguchi H, Kijima K (eds) Manifesto: agent-based social systems sciences. Keiso-Shobo, Tokyo (in Japanese)
Yang C, Kurahashi S, Kurahashi K, Ono I, Terano T (2009) Agent-based simulation on women’s role in a family line on civil service examination in Chinese history. J Artif Soc Soc Simul 12(2):5 http://jasss.soc.surrey.ac.uk/12/2/5.html
Goto Y, Takahashi S, Senoue Y (2009) Analysis of performance measurement system for knowledge sharing under intraorganizational competition. J Jpn Soc Manage Inf 18(1):15–49 (in Japanese)
Gilbert N (2007) Agent-based models. Sage, London
Otomasa S (2003) On use of performance measurement indices in Japanese companies. Rokkodai-Ronshu Manage Ser 49(4):29–54 (in Japanese)
Richiardi M, Leombruni R, Saam N, Sonnessa M (2006) A common protocol for agent-based social simulation. J Artif Soc Soc Simul 9(1):15 http://jasss.soc.surrey.ac.uk/9/1/15.html
Hales D, Rouchier J, Edmonds B (2003) Model-to-model analysis. J Artif Soc Soc Simul 6(4):5 http://jasss.soc.surrey.ac.uk/6/4/5.html
Siggelkow N, Rivkin JW (2005) Speed and search: designing organizations for turbulence and complexity. Organ Sci 16(2):101–122
Nakada T, Takadama K, Watanabe S (2009) Analysis method depending on Bayes’ theorem for agent-based simulations. In: Proceedings of the 6th international workshop on agent-based approaches in economic and social complex systems, pp 306–317
Acknowledgement
This work was supported in part by Grants-in-Aid for Scientific Research No. 21310097 and No. 22730312.
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Goto, Y., Takahashi, S. (2011). Landscape Analysis of Possible Outcomes. In: Chen, SH., Terano, T., Yamamoto, R. (eds) Agent-Based Approaches in Economic and Social Complex Systems VI. Agent-Based Social Systems, vol 8. Springer, Tokyo. https://doi.org/10.1007/978-4-431-53907-0_7
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DOI: https://doi.org/10.1007/978-4-431-53907-0_7
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-53906-3
Online ISBN: 978-4-431-53907-0
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