The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Transdisciplinary Approach to Service Design Based on Consumer’s Value and Decision Making
|
|
Author(s): Takeshi Takenaka (National Institute of Advanced Industrial Science and Technology, Japan), Kousuke Fujita (The University of Tokyo, Japan), Nariaki Nishino (The University of Tokyo, Japan), Tsukasa Ishigaki (National Institute of Advanced Industrial Science and Technology, Japan)and Yoichi Motomura (National Institute of Advanced Industrial Science and Technology, Japan)
Copyright: 2012
Pages: 18
Source title:
Intelligent and Knowledge-Based Computing for Business and Organizational Advancements
Source Author(s)/Editor(s): Hideyasu Sasaki (Chinese University of Hong Kong, Hong Kong), Dickson K.W. Chiu (The University of Hong Kong, Hong Kong), Epaminondas Kapetanios (University of Westminster, UK), Patrick C.K. Hung (University of Ontario Institute of Technology, Canada), Frederic Andres (National Institute of Informatics, Japan), Ho-fung Leung (The Chinese University of Hong Kong, Hong Kong)and Richard Chbeir (Bourgogne University, LE2I CNRS, France)
DOI: 10.4018/978-1-4666-1577-9.ch004
Purchase
|
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.
Related Content
|
Shaun Ruysenaar.
© 2021.
26 pages.
|
|
Rasheed O. Azeez.
© 2021.
13 pages.
|
|
Ziska Fields.
© 2021.
28 pages.
|
|
Chunfang Zhou, Lars Bo Henriksen, Søren Kerndrup.
© 2021.
15 pages.
|
|
Cookie M. Govender.
© 2021.
26 pages.
|
|
Crystal Yolande Herborn, Frances Scholtz.
© 2021.
23 pages.
|
|
Ziska Fields, Zainab Mahammad Abdullah, Aidah Nakayiwa Musisi, Nadine Kirsten Mitchley.
© 2021.
23 pages.
|
|
|