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Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision Making

Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision Making

Takeshi Takenaka, Kousuke Fujita, Nariaki Nishino, Tsukasa Ishigaki, Yoichi Motomura
Copyright: © 2010 |Volume: 1 |Issue: 1 |Pages: 18
ISSN: 1947-9344|EISSN: 1947-9352|ISSN: 1947-9344|EISBN13: 9781616929978|EISSN: 1947-9352|DOI: 10.4018/joci.2010100804
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MLA

Takenaka, Takeshi, et al. "Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision Making." IJOCI vol.1, no.1 2010: pp.58-75. http://doi.org/10.4018/joci.2010100804

APA

Takenaka, T., Fujita, K., Nishino, N., Ishigaki, T., & Motomura, Y. (2010). Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision Making. International Journal of Organizational and Collective Intelligence (IJOCI), 1(1), 58-75. http://doi.org/10.4018/joci.2010100804

Chicago

Takenaka, Takeshi, et al. "Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision Making," International Journal of Organizational and Collective Intelligence (IJOCI) 1, no.1: 58-75. http://doi.org/10.4018/joci.2010100804

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Abstract

Science and technology are expected to support actual service provision and to create new services to promote service industries’ productivity. However, those problems might not be solved solely in a certain research area. This paper describes that it is necessary to establish transdisciplinary approaches to service design in consideration of consumers’ values and decision making. Recent research trends of services are overviewed. Then a research framework is proposed to integrate computer sciences, human sciences, and economic sciences. Three study examples of services are then presented. The first study is a multi-agent simulation of a cellular telephone market based on results of a psychological survey. The second presents a cognitive model constructed through integration of questionnaire data of a retail business and Bayesian network modeling. The third presents a pricing mechanism design for service facilities––movie theaters––using an economic experiment and agent-based simulation.

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