Information Science Linkage of Service Innovation

摘要

It is with this recognition that policies for strengthening international competitiveness regarding service innovation are being adopted by many countries. While planning and implementing these policies, what is required in essence is an objective analysis regarding the current status of knowledge related to this field and the linkage between science and innovation. However, the knowledge infrastructure of this kind is inadequate. The aim of this paper is to develop the way to identify the meta structure of knowledge and measure "information science linkage of service innovation". We use bib home tries, cogitation network analysis and co-occurrence analysis to objectively identify them.rnIn the field of service innovation, our results show that there are mainly two groups of elements related to service innovation applications of service innovation and basic theories for service innovation. In the field of service science, we also identified major knowledge groups such as machine learning, and information retrieval. Then we calculated the co-occurrence of characteristic terms in journal paper s belonging to the SSME sub-clusters and author keywords for papers belonging to the sub-sub-clusters related to information science. We clarified which information sciences are used heavily in service innovation. We also determined which areas of innovation make heavy use of information science and which do not. In the field of medical care, the high value we obtained demonstrates that digital health and EHR research is being vigorously conducted worldwide. By contrast, in other fields related to medical treatment, such as mental healthcare and patient satisfaction, we found a big room to promote the spread of information science.rnOverall, we have demonstrated the possibility of using bibliometrics to objectively identify the meta structure of knowledge and measure the semantic relationships between science and technology.