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Service diffusion in the market considering consumers' subjective value

Published: 28 October 2008 Publication History

Abstract

With increasing networking and globalization of the market, it becomes increasingly difficult to understand how social values of products or services emerge based on the interaction of consumers' value judgments. This paper presents description of a service market model and constructs an agent model of consumers considering a consumer's subjective value using data obtained from a lifestyle survey. Results of the multi-agent simulation show that the pattern of service diffusion can change according to the influence of intensity of network externalities. Moreover, it discusses the characteristics of consumers who use services behind the diffusions.

References

[1]
R. H. Frank, P. J. Cook, The Winner-Take-All Society: Why the Few at the Top Get So Much More Than the Rest of Us, Penguin USA, 1996.
[2]
K. Ueda, T. Takenaka, K. Fujita. Toward Value Co-creation in Manufacturing and Servicing. CIRP Journal of Manufacturing Science and Technology, 1(1), pp. 53--58, 2008.
[3]
D. Lee, H. Mendelson, Adoption of information technology under network effects, Information Systems Research, 18/4:395--413, 2007.
[4]
M. L. Katz, C. Shapiro, Network effects, Software provision, and Standardization, The Journal of Industrial Economics, 40/1:85--103, 1992.
[5]
S. C. Cosmas, Life styles and consumption patterns, Journal of Consumer Research, 8:453--455, 1995.
[6]
T. Takenaka, K. Ueda, An analysis of Service Studies toward Sustainable Value Creation, Int. J. Sustainable Manufacturing, 1/1:168--179, 2008.
[7]
J. M. Epstein, R. Axtell, Growing Artificial Societies: Social Science from the Bottom Up, Brookings Inst Pr, 1996.
[8]
H. Rahmandad, J. Sterman, Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models, Management Science, 54/5:998--1014, 2008.
[9]
C. J. C. H. Watkins, P. Dayan, Technical Note: Q-Learning, Machine Learning 8:279--292, 1992.
[10]
J. F. Engel, R. D. Blackwell, P. W. Miniard, Consumer Behavior, Fort Worth: Dryden Press, 1993.

Cited By

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  • (2012)Transdisciplinary Approach to Service Design Based on Consumer’s Value and Decision MakingIntelligent and Knowledge-Based Computing for Business and Organizational Advancements10.4018/978-1-4666-1577-9.ch004(57-74)Online publication date: 2012
  • (2010)Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision MakingInternational Journal of Organizational and Collective Intelligence10.4018/joci.20101008041:1(58-75)Online publication date: Jan-2010
  • (2009)Knowledge extraction by probabilistic cognitive structure modeling using a Bayesian network for use by a retail serviceProceedings of the International Conference on Management of Emergent Digital EcoSystems10.1145/1643823.1643850(141-148)Online publication date: 27-Oct-2009

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  1. Service diffusion in the market considering consumers' subjective value

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      cover image ACM Other conferences
      CSTST '08: Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
      October 2008
      733 pages
      ISBN:9781605580463
      DOI:10.1145/1456223
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      • The French Chapter of ACM Special Interest Group on Applied Computing
      • Ministère des Affaires Etrangères et Européennes
      • Région Ile de France
      • Communauté d'Agglomération de Cergy-Pontoise
      • Institute of Electrical and Electronics Engineers Systems, Man and Cybernetics Society
      • The European Society For Fuzzy And technology
      • Institute of Electrical and Electronics Engineers France Section
      • Laboratoire des Equipes Traitement des Images et du Signal
      • AFIHM: Ass. Francophone d'Interaction Homme-Machine
      • The International Fuzzy System Association
      • Laboratoire Innovation Développement
      • University of Cergy-Pontoise
      • The World Federation of Soft Computing
      • Agence de Développement Economique de Cergy-Pontoise
      • The European Neural Network Society
      • Comité d'Expansion Economique du Val d'Oise

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 28 October 2008

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      Author Tags

      1. lifestyle
      2. multi-agent simulation
      3. service diffusion

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      View all
      • (2012)Transdisciplinary Approach to Service Design Based on Consumer’s Value and Decision MakingIntelligent and Knowledge-Based Computing for Business and Organizational Advancements10.4018/978-1-4666-1577-9.ch004(57-74)Online publication date: 2012
      • (2010)Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision MakingInternational Journal of Organizational and Collective Intelligence10.4018/joci.20101008041:1(58-75)Online publication date: Jan-2010
      • (2009)Knowledge extraction by probabilistic cognitive structure modeling using a Bayesian network for use by a retail serviceProceedings of the International Conference on Management of Emergent Digital EcoSystems10.1145/1643823.1643850(141-148)Online publication date: 27-Oct-2009

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