應用引文分析和社會網絡分析方法於協同產品分析之研究

Abstract

This paper presents the analysis of Collaborative Product Commerce documents associated by using co-citation analysis and social network analysis. Co-citation is a new form of document coupling the frequency with which two documents are cited together. In this paper we report an experiment by using data from Google scholar search and Social Science Citation Index to identify clusters of highly interactive documents in the subject of Collaborative Product Commerce. They may provide a new approach to indexing and to the creation easier search CPC area. The study discovers five core papers which imply the four documents provide insight into the theory’s evolution and clarifies future research work in CPC field. The trend in the field focuses on organizational layer, included knowledge management, system problem solution, and collaborative mechanism design. The conclusion can provide future research direction for the researcher in this field.

This paper presents the analysis of Collaborative Product Commerce documents associated by using co-citation analysis and social network analysis. Co-citation is a new form of document coupling the frequency with which two documents are cited together. In this paper we report an experiment by using data from Google scholar search and Social Science Citation Index to identify clusters of highly interactive documents in the subject of Collaborative Product Commerce. They may provide a new approach to indexing and to the creation easier search CPC area. The study discovers five core papers which imply the four documents provide insight into the theory’s evolution and clarifies future research work in CPC field. The trend in the field focuses on organizational layer, included knowledge management, system problem solution, and collaborative mechanism design. The conclusion can provide future research direction for the researcher in this field.