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International Conference on Multiple Criteria Decision Making

MCDM 2009: Cutting-Edge Research Topics on Multiple Criteria Decision Making pp 209–212Cite as

Extension of the Framework of Knowledge Process Analysis: A Case Study of Design Research Process

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 35))

Abstract

This study undergoes the approach of Knowledge process analysis in an academic research project. It investigates the knowledge creation primitives of KPA used in previous studies and tests other possible primitives from the domain of design studies. This is a step improving KPA with design research experience.

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References

  1. Sugiyama, K., Meyer, B.: Knowledge process analysis: Framework and experience. Journal of Systems Science and Systems Engineering 17(1), 86–108 (2008)

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Author information

Authors and Affiliations

  1. Japan Advanced Institute of Science and Technology, 1-1, Asahidai, Nomi, Ishikawa, 923-1292, Japan

    Georgi V. Georgiev, Kozo Sugiyama & Yukari Nagai

Authors
  1. Georgi V. Georgiev
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  2. Kozo Sugiyama
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  3. Yukari Nagai
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Nebraska, NE 68182, Omaha, USA

    Yong Shi

  2. Chinese Academy of Sciences, Beijing, P.R. China

    Shouyang Wang  & Jianping Li  & 

  3. University of Electronic Science and Technology of China, Chengdu, China

    Yi Peng  & Yong Zeng  & 

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© 2009 Springer-Verlag Berlin Heidelberg

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Georgiev, G.V., Sugiyama, K., Nagai, Y. (2009). Extension of the Framework of Knowledge Process Analysis: A Case Study of Design Research Process. In: Shi, Y., Wang, S., Peng, Y., Li, J., Zeng, Y. (eds) Cutting-Edge Research Topics on Multiple Criteria Decision Making. MCDM 2009. Communications in Computer and Information Science, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02298-2_33

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  • DOI: https://doi.org/10.1007/978-3-642-02298-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02297-5

  • Online ISBN: 978-3-642-02298-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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