Knowledge Construction Methodology: Fusing Systems Thinking and Knowledge ManagementThis book demonstrates that innovative ideas are systematically constructed in the creative space spanned by the dimensions of systems thinking and knowledge management. Readers will be introduced to this proposition in the final chapter, after learning about the key innovation theories, design thinking, systems thinking, and idea creation methods in systems science and knowledge science. The content provided throughout the book supports knowledge creation in various fields, the management of research and business projects, and the creation of promotion stories for products and services. Practitioners who are seeking to create innovative ideas can systematically learn the minimum theories and methods required, while graduate students will be equipped to link their research to innovation by learning the essence of systems science and knowledge science and considering selected issues. Lastly, the book includes suggestions for future research directions in knowledge science. |
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Knowledge Construction Methodology: Fusing Systems Thinking and Knowledge ... Yoshiteru Nakamori No preview available - 2020 |
Knowledge Construction Methodology: Fusing Systems Thinking and Knowledge ... Yoshiteru Nakamori No preview available - 2019 |
Common terms and phrases
axis balancing loop blue ocean strategy causal loop diagram chapter Christensen Cognitive-mental domain companies complexity concept conceptual model consider constructed knowledge construction system model constructive objectivism creative customers design thinking dialectic knowledge construction disruptive innovation Drucker Enlightenment erhu evaluation example explained explicit knowledge follows give students sufficient Goal seeking Group growth idea creation individual industry Integration Interaction introduced intuitive knowledge Japan Jay Wright Forrester knowl knowledge construction methodology knowledge construction system knowledge creation model knowledge domains knowledge justification knowledge management knowledge science management system Nakamori nodes Nonaka organization organizational knowledge creation p-value problem situation rational knowledge receive sufficient guidance research ability research environment research plan research results root definition Scientific-actual domain SECI model shown in Fig Social knowledge Social-relational domain soft systems methodology Stage students sufficient guidance synthesis systems science systems thinking tacit knowledge theory Uber value innovation Yoshiharu Habu