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

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.

[1]  P. Maglio,et al.  The Emergence of Service Science: Toward Systematic Service Innovations to Accelerate Co‐Creation of Value , 2008 .

[2]  Weiming Shen,et al.  Multi-Model Driven Collaborative Development Platform for Service-Oriented e-Business Systems , 2006, 2006 10th International Conference on Computer Supported Cooperative Work in Design.

[3]  William Vickrey,et al.  Counterspeculation, Auctions, And Competitive Sealed Tenders , 1961 .

[4]  Yuhui Shi,et al.  Innovations and Developments of Swarm Intelligence Applications , 2012 .

[5]  Takeshi Takenaka,et al.  An analysis of service studies toward sustainable value creation , 2008 .

[6]  P. Sasikala,et al.  Cloud Computing in Higher Education: Opportunities and Issues , 2011, Int. J. Cloud Appl. Comput..

[7]  Daniel Friedman,et al.  Experimental Methods: A Primer for Economists , 1994 .

[8]  Zongwei Luo,et al.  Service Science and Logistics Informatics: Innovative Perspectives , 2010 .

[9]  E R WEINERMAN,et al.  CDC BECOMES SOLE NATIONAL REFERENCE CENTER FOR BACTERIOPHAGE TYPING OF STAPHYLOCOCCI. , 1965, Public health reports.

[10]  C. Shapiro,et al.  Product Introduction with Network Externalities , 1992 .

[11]  Marco Janssen,et al.  Simulating Market Dynamics: Interactions between Consumer Psychology and Social Networks , 2003, Artificial Life.

[12]  Musa R. Unmehopa,et al.  Enhanced active phone book services: Blended lifestyle services made real! , 2007, Bell Labs Technical Journal.

[13]  Michael I. Jordan,et al.  Loopy Belief Propagation for Approximate Inference: An Empirical Study , 1999, UAI.

[14]  Takeshi Takenaka,et al.  Toward value co-creation in manufacturing and servicing , 2008 .

[15]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[16]  Neil Gandal,et al.  NETWORK EFFECTS, SOFTWARE PROVISION, AND STANDARDIZATION* , 1992 .

[17]  Shoichi Morimoto,et al.  A Survey of Formal Verification for Business Process Modeling , 2008, ICCS.

[18]  Kevin B. Korb,et al.  Bayesian Artificial Intelligence , 2004, Computer science and data analysis series.

[19]  Hazhir Rahmandad,et al.  Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models , 2004, Manag. Sci..

[20]  Yan Meng,et al.  Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence , 2010, Int. J. Swarm Intell. Res..

[21]  W. Jager.  The four P's in social simulation, a perspective on how marketing could benefit from the use of social simulation , 2007 .

[22]  H. Akaike.  A new look at the statistical model identification , 1974 .

[23]  E R WEINERMAN,et al.  EFFECTS OF MEDICAL "TRIAGE" IN HOSPITAL EMERGENCY SERVICE. , 1965, Public health reports.

[24]  V. Smith.  Papers in experimental economics , 1991 .

[25]  Takeshi Takenaka,et al.  Service diffusion in the market considering consumers' subjective value , 2008, CSTST.

[26]  Jing Shi,et al.  Impact of Wireless Sensor Network Technology on Service Innovation in Supply Chain Management , 2010 .

[27]  E. H. Clarke.  Multipart pricing of public goods , 1971 .

[28]  Theodore Groves,et al.  Incentives in Teams , 1973 .

[29]  Roman Beck,et al.  Network effects as drivers of individual technology adoption: Analyzing adoption and diffusion of mobile communication services , 2008, Inf. Syst. Frontiers.

[30]  L. Shapley,et al.  College Admissions and the Stability of Marriage , 1962 .

[31]  Christopher M. Bishop,et al.  Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .