Analyzing research fields related to design thinking

15 May 2017, 10:30
22m
B

B

Presentation only (Category B) Small and medium enterprises and innovation Small and medium sized enterprises and innovation

Speaker

Mr TATSUYA KURODA (The University of Tokyo)

Description

Design Thinking (DT) is becoming a more important concept in both innovative major companies and growing startups. They are daily struggling on whiteboards putting on and off sticky notes, while they are also analyzing big data by the cutting-edge computing algorism. DT and Data Analysis (DA) are coming to essential skill to their innovation. On the other hand, in research fields, we acknowledge a lot of valuable papers on DA but know less papers on DT. Actually we checked the papers related to DA and DT in the database of the Web of Science (WoS) provided by Thomson Reuter's. Consequently, we exacted 101,874 papers including the words "data analysis", but we sought only 975 papers including the words "design thinking" in the title, abstract, and keywords from WoS. We also found that the two clusters are almost completely separate. Next, we specified five main clusters which include over 30 papers through citation network analysis on the papers including the words "data thinking", and drew networking maps which express citation relationship among papers in each cluster. As a result, we found that each cluster was drawn as a form like a star, which means main “hub” paper was centered and cited directly from most of the rest papers.

Author

Mr TATSUYA KURODA (The University of Tokyo)

Co-authors

Dr Ichiro Sakata (The University of Tokyo) Dr Shino Iwami (The University of Tokyo)

Presentation materials