Progressive Trends in Knowledge and System-Based Science for Service Innovation

Progressive Trends in Knowledge and System-Based Science for Service Innovation

Michitaka Kosaka, Kunio Shirahada
Indexed In: SCOPUS
Release Date: October, 2013|Copyright: © 2014 |Pages: 511
DOI: 10.4018/978-1-4666-4663-6
ISBN13: 9781466646636|ISBN10: 1466646632|EISBN13: 9781466646643
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Description & Coverage
Description:

Scientific investigation in the service industry has produced a major effect on productivity and quality in order to lead to new services. With ever-evolving internet technologies and information environments, system science and knowledge science seem to be an effective tool for service innovation in the 21st century.

Progressive Trends in Knowledge and System-Based Science for Service Innovation illustrates new approaches to service innovation and new methodologies from the knowledge science and system science perspectives. Practitioners and researchers interested in knowing more about practical theories and successful examples in service science will find this book to be a vital asset to their studies.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • IT Technologies for Service Innovation
  • Knowledge Science Approaches
  • Neural Science for Services
  • Service Dominant Logic
  • Service Innovation
  • Service Value Creation Model
  • Servitization in the Manufacturing Industry
  • System Science Approaches
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Editor/Author Biographies
Michitaka Kosaka received the M.S. and Ph.D. degrees in applied mathematics and physics from Kyoto University, Japan, in 1977 and 1984, respectively. He is currently a Dean and a Professor of the School of Knowledge Science in JAIST (Japan Advanced Institute of Science and Technology). Before he joined JAIST in 2008, he had been with Hitachi Ltd. for 31 years, especially in Systems Development Laboratory. His researches cover guidance and control systems in space and defense system, financial information systems, decision support systems using Fuzzy logic or Neural network, Electronic commerce, service innovation, R&D management, fusion of system engineering and knowledge science, and stochastic control theory. He is a member of IEEE, a fellow of IEEJ (Japan), a fellow of SICE (Japan) and members of several institutes of Japan.
Kunio Shirahada is an associate professor at JAIST (Japan Advanced Institute of Science and Technology, Research Center for Service Science) since 2012. He received his Ph.D. degree in the field of technology management from the University of Tokyo in 2009. He was a visiting scholar at Texas State University, Department of Marketing, in 2010. He has published in the Journal of Research for Consumers,International Journal of Technology Managementt, International Journal of Automotive Technology Management,International Journal of Innovation and Technology Managementt, and in Japanese research journals.
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