Page 12 - Special Topic Session (STS) - Volume 2

STS451 Yuji M.
Quantitatively analyze the capability of the
organization: Estimating the capability to induce
innovation based on co-author information of
articles
3
Yuji Mizukami , Keisuke Honda , Frederick Kin Hing Phoa , Junji Nakano
1
2,4
2
1 Nihon University, Chiba Japan
2 The Institute of Statistical Mathematics, Tokyo Japan
3 Academia Sinica, Taipei Taiwan
4 Chuo University, Tokyo Japan

Abstract
Innovation is the act of creating new value by using "new connection", "new
point of view", "new way of thinking", "new usage method". In recent years,
the promotion of the Innovation has been strongly encouraged. In the field of
research, attempts are also being made to create new value through
connection between those fields. Moreover, along with the move to promote
integration among these research fields, research is being conducted to grasp
and promote the degree of them.
In this research, for the purpose of providing indices for measuring the degree
of them, we show indices quantitatively indicating the degree of fusion in
different fields. As an example of its application, we showed the degree of
integration of different fields of the big data related article data from 2016 is
utilized, which included 2544 articles from top 10 countries/regions by using
the dissertation database Web of Science.

Keywords
Research Metrix; Institute Research; Network Theory; Co-author analysis;
Innovation

1. Introduction
In 2011, the German Engineering Academy and the German Federal
Ministry of Education and Science announced the framework of Industry 4.0.
Industry 4.0 aims to improve the efficiency of factory production activities by
promoting the spread of the Smart Factory [1] based on the concept of the
1
2
Cyber Physical System [2] . Studies have been conducted earlier to increase
the efficiency of factory production activities. The advantage of Industry 4.0 is
“predictive maintenance,” which forecasts and repairs equipment failures and

1 It implements “visualization” and “comprehensive management” of information by attaching
sensors to every device in the factory and collecting information such as the quality and
condition through the Internet.
2 It aims to control the knowledge that is understood only by “experience and intuition” based
on the quantitative measurement of the various states of the controlled object in the real
world.
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