Abstract
We present a step-by-step approach for constructing a framework for knowledge process analysis (KPA). We intend to apply this framework to the analysis of own research projects in an exploratory way and elaborate it through the accumulation of case studies. This study is based on a methodology consisting of knowledge process modeling, primitives synthesis, and reflective verification. We describe details of the methodology and present the results of case studies: a novel methodology, a practical work guide, and a tool for KPA; insights for improving future research projects and education; and the integration of existing knowledge creation theories.
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Busch, P.A., Richards, D. & Dampney, C.N.G. (2001). Visual mapping of articulable tacit knowledge. Conferences in Research and Practice in Information Technology, Sydney, 9: 37–47
Coghlan, D. & Brannick, T. (2005). Doing Action Research in Your Own Organization. SAGE Publications
Despres, C. & Chauvel, D. (2000). A thematic analysis of the thinking in knowledge management. In: Despres, C., Chauval, D. (eds.), Knowledge Horizons. The Present and the Promise of Knowledge Management, pp. 55–86. Butterworth-Heinemann, Boston
Finke, R., Ward, T. & Smith, S. (1992). Creative Cognition: Theory, Research, and Applications. MIT Press, Cambridge
Flanagan, J.C. (1954). The critical incident technique. Psychological Bulletin, 51 (4): 327–359
Ichikawa, K. (1970). The Science of Creativity. Japan Braodcast Publishing, Tokyo
Kawakita, J. (1975). The KJ Method — A Scientific Approach to Problem Solving. Kawakita Research Institute, Tokyo
Li, M., & Gao, F. (2003). Why Nonaka highlights tacit knowledge: a critical review. Journal of Knowledge Management, 7 (4): 6–14
Meyer, B. & Spiekermann, S. (2006). SkillMap: dynamic visualization of shared organizational context. In: Lehner, F., Noesekabel, H., Kleinshchmidt (eds.), Proceedings of Multikonferenz Wirtschaftsinformatik 2006 (WI’06), pp. 528–540. Universität Passau
Meyer, B. & Sugiyama, K. (2007). The concept of knowledge in KM: a dimensional model. Journal of Knowledge Management, 11 (1): 17–36
Nonaka, I. & Takeuchi, H. (1995). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford Univ. Press, New York
Nonaka, I., Toyama, R. & Konno, N. (2000). The knowledge-creating theory revisited: knowledge creation as a synthesizing process. Knowledge Management Research & Practice, 1: 2–10
Polanyi, M. (1983). The Tacit Dimension. Gloucester
Redmond, B. (2004). Reflection in Action. Ashgate publishing
Roberts, R.M. (1989). Serendipity: Accidental Discoveries in Science. John Wiley & Sons
Simonton, D.K. (2004). Creativity in Science: Change, Logic, Genius, and Zeitgeist. Cambridge Univ. Press, Cambridge
Sugiyama, K. (2007). Post-analysis of knowledge creation processes in small research projects. Int. J. Information Technology and Decision Making, 6 (3): 541–557
Sugiyama, K., Hong, S. & Maeda, A. (2004). The puzzle layout problem. In: Liotta, G. (eds.), Proceedings of GD 2003 — LNCS 2912, 500–501. Springer, Berlin
Sugiyama, K. & Misue, K. (1990). “Good” graphic interfaces for “good” idea organizers. In: Proceedings of Human-Computer Interaction (INTERACT’ 90), 521–526, August 1990, Cambridge
Sugiyama, K., Nagata, A. & Shimojima, A. (2002). Knowledge Science. Kinokuniya, Tokyo (in Japanese)
Sugiyama, K. Osawa, R. & Hong, S. (2005). Puzzle generators and symmetric puzzle layout. In: Proceedings of Asia-Pacific Symposium on Information Visualization 2005 (APVIS2005), Sydney
Zins, C. (2006). Redefining information science: from “information science” to “knowledge science”. Journal of Documentation, 62 (4): 447–461
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Kozo Sugiyama received his M.S. and Dr.S. in Earth Sciences from Nagoya University in 1971 and 1974, respectively. During 1974–1997, he worked for Fujitsu Ltd and Fujitsu Laboratories Ltd to study system engineering, infromation visualization, graph drawing, and creativity support. He stayed in International Institute of Applied Systems Analysis, Austria in 1982-1983. He is now Professor of School of Knowledge Science, Japan Advanced Institute of Science and Technology where he conducts various knowledge scientific studies.
Bertolt Meyer received his M.Sc. in Psychology from Humboldt University in Berlin in 2004 where he also recently completed his Ph.D. He worked on the concept of knowledge in KM at Kozo Sugiyama’s laboratory in 2005 and is now a senior assistant at the Department of Social Psychology at the University of Zurich (Switzerland) where he studies the deteriminants of group performance.
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Sugiyama, K., Meyer, B. Knowledge process analysis: Framework and experience. J. Syst. Sci. Syst. Eng. 17, 86–108 (2008). https://doi.org/10.1007/s11518-008-5069-7
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DOI: https://doi.org/10.1007/s11518-008-5069-7