2018 Fiscal Year Research-status Report
Dancing with Data: Patterns of Digital Innovations
| Project/Area Number |
17K03867
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
朴 宰賢 東京工業大学, 工学院, 助教 (20719520)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Keywords | Data-driven approach / Innovation / Knowledge Artifacts / Agility |
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| Outline of Annual Research Achievements |
During this fiscal year (2018-2019), I conducted around thirty qualitative interviews and completed data collection. The collected data are very original and interesting data, dealing with successful and failed digital innovation project stories. Also, the data include diverse companies' actual innovation episodes. Using transcribing services, the data were transcribed and started to conduct data analysis by a grounded theory approach. Based on the data analysis, couple of empirical studies have been synthesized and submitted to the International Journals and conferences as well. Also, some of studies now have expanded as collaboration studies with other international researchers.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
This study--Dancing with Data: Patterns of Digital InnovationsThis study, is the second round of data analysis and finding stage. During this fiscal year, I highlighted the analysis of the collected data, and the data analysis has brought a variety of opportunities in expanding the boundaries of research. Therefore, I sought to identify potential research outlets, stemming from information systems (IS), marketing, and entrepreneurship, innovation, and design studies.
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| Strategy for Future Research Activity |
Based on this, I will write several research articles as interdisciplinary studies in management, design, innovation, and IT in the next fiscal year (2019-2020). Also, I will synthesize more dynamic research communities of how this study can be extended for the next future studies crossing research boundaries in design, innovation, and information systems.
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