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

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

                  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.

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

                  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
                  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
                                                                       1 | I S I   W S C   2 0 1 9
   7   8   9   10   11   12   13   14   15   16   17