Information environment for acquisition and succession of deep smart

2017 Fiscal Year Final Research Report

• Project/Area Number: 25330398
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Library and information science/Humanistic social informatics
• Research Institution: Tokyo Metropolitan University (2017); Yokohama National University (2013-2016)
• Principal Investigator: Takeda Yoko 首都大学東京, 社会科学研究科, 教授 (80319011)
• Project Period (FY): 2013-04-01 – 2018-03-31
• Keywords: ディープスマート / 暗黙の理解 / 身体知 / 実践知 / 知識継承 / ネットワークの多様性 / 表象多様性 / 他者視点取得

Outline of Final Research Achievements

This research explores the mechanism of acquisition and tradition of tacit deep smart in practices, including information environment, for example, usage of digital and analogue tools, communication network of participants. We conducted the interviews of business planners, the observation of the creative process in workshops, and the questionnaire surveys both among traditional entertainers and corporate researchers. As the results, we found that the diversity of representation and network closely related to reflective learning with active feedback loops. In addition, the research suggests that perspective-taking mediates between the diversity of representation and network, and creative performance.

Free Research Field

経営学