Title:	GLOBAL CORPORATE COOPERATION TREND ANALYSIS WITH DATA ANALYSIS - FOCUSING ON THE ELECTRIC VEHICLE INDUSTRY
Author(s):	Jinny Seo and Eunsoo Sohn
ISBN:	978-989-8704-62
Editors:	Paula Miranda and Pedro Isaías
Year:	2024
Edition:	Single
Keywords:	Collaboration, Research Collaboration, Network Analysis, Statistical Analysis, Bibliometric Analysis
Type:	Poster
First Page:	395
Last Page:	397
Language:	English
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Paper Abstract:	With the advent of the global era, the corporate cooperation pattern is changing from competition between companies and institutions to competition between channels. The scope of competition is expanding, the lifespan of technologies and products is also decreasing, and convergence between industries is taking place. In order to solve this problem, companies are focusing on core competencies and the rest are operated in the form of cooperation. Cooperation can proceed by securing technology, sharing knowledge, and securing assets. In other words, depending on market orientation, technology orientation, and social orientation, technology transactions such as marketing sharing, joint research, and technology transfer, M&A, joint use of equipment, exchange of technology and management information, etc. show effects such as improving technology competitiveness, improving market competitiveness, and increasing intellectual property rights. In particular, among various cooperation, technology-oriented joint research is expanding, and this phenomenon can be confirmed through papers and patents, which are research results. However, other types of cooperation are difficult to understand in detail due to activities between individual companies. Therefore, not only research cooperation but also data that can replace various cooperation are searched, and related insights are presented through data analysis of representative companies in a specific industry. The concept of cooperation and types of cooperation were examined, and data that can represent this were searched. Among the papers and patent data representing research cooperation, the trend of research cooperation was identified through patent data (PATSTAT) analysis that can more represent the innovation activities of a company. In addition, various types of cooperation such as customers, suppliers, and partners were analyzed based on the company's transaction data (FactSet's Supply Chain Relationships). FactSet data includes direct relationship data directly disclosed by the target company and reverse relationships identified by companies, including data, various types such as customers, suppliers, and marketing. The analysis target was defined as the electric vehicle field that is attracting attention as the convergence industry. Transaction data were examined targeting the top applicants through patents. The relationship of companies that have secured structural advantages within the industry was analyzed using quantitative information analysis and network analysis methodologies (network density, network centrality, degree centrality, etc.). The current status of research cooperation and other cooperation could be analyzed. This analysis result can also be used as reference information necessary for strategy establishment of SMEs and mid-sized companies in the industry. In the future, it is possible to expand to other fields to derive characteristics of each field. However, since corporate cooperation is an internal matter of a company, it has a theoretical limitation limited to accessible data constructed based on public data.
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