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. 2022 Sep 21;8(9):e10721.
doi: 10.1016/j.heliyon.2022.e10721. eCollection 2022 Sep.

Obtaining interactions among science, technology, and research policy for developing an innovation strategy: A case study of supercapacitors

Chika Ishii  1 , Kimitaka Asatani  2 , Ichiro Sakata  2
Affiliations

Obtaining interactions among science, technology, and research policy for developing an innovation strategy: A case study of supercapacitors

Chika Ishii et al. Heliyon. .

Abstract

Comprehensive observations of science, technology, and research policy transactions are important for developing an innovation strategy. We propose a new method that combines the academic landscape and matrix analysis to understand the relationships among activities of three aspects of the technological landscape: science, technology, and research policy. First, we divided academic research into 28 knowledge domains by clustering a citation network of scientific papers. Next, we developed a new matrix classifying them into three groups: "mature technology," "intermediate technology," and "emerging technology." The results showed that research domains in "emerging technology" showed a high rate of patent increase, indicating that they were commercializing rapidly. Finally, we identified the group that each country focused on, and this result reflected the countries' research policies. China and Singapore showed high rates, whereas Japan, France, and Germany had low values. This result reflects countries' research policies and implies that specialty research areas differed by country. As above, our research result implies that academia, industry, and government have paid attention to knowledge domains in "emerging technology" and these are important for creating innovation. A supercapacitor, also known as an electric double layer capacitor or ultracapacitor, was selected as an example in our method. This research could help academic researchers, industrial companies, and policymakers in developing innovation strategies.

Keywords: Bibliometrics; Innovation strategy; Network science; Technology maturity.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Methods for extracting knowledge domains.
Figure 2
Figure 2
The new matrix for evaluating the maturity of knowledge domains (white, yellow, and red area represent “mature technology,” “intermediate technology,” and “emerging technology,” respectively).
Figure 3
Figure 3
The number of publications including the query on WoS.
FigS1
FigS1
The number of the extracted publications per year
See this image and copyright information in PMC

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