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Identifying ICT-Auto Manufacturing Convergence through Dynamic Network Analysis of Important Convergence Technology and R&D Actors : 주요 융합 기술과 R&D 주체의 동적 네트워크 분석을 통한 ICT-자동차 제조업 융합에 관한 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Jorn Altmann | - |
dc.contributor.author | 장윤지 | - |
dc.date.accessioned | 2017-07-14T02:33:50Z | - |
dc.date.available | 2017-07-14T02:33:50Z | - |
dc.date.issued | 2017-02 | - |
dc.identifier.other | 000000142700 | - |
dc.identifier.uri | https://hdl.handle.net/10371/122638 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 기술경영·경제·정책전공, 2017. 2. Jorn Altmann. | - |
dc.description.abstract | This paper aims to identify convergence between automobile manufacturing and ICT sectors in Koreas national R&D network. Although several studies have analyzed the technology convergence or cooperative alliances in R&D networks, network analysis specifically on Auto manufacturing-ICT convergence that contributes to identifying both important convergence technology and R&D actors over time is lacking. In an effort to bridge this gap, this study employs network analysis of patent information of the auto manufacturing and ICT sectors from 2008 to 2014. The dynamic changes of the two key subjects of interest, important convergence technology and R&D actors, are then examined together in groups of important technology identified as hubs, cores, and bridges. The analysis results are expected to help identify priority areas and actors for R&D policies on auto manufacturing-ICT convergence as part of an effort to prepare for the ICT-driven manufacturing paradigm shift taking place today. | - |
dc.description.tableofcontents | Chapter 1. Introduction 1
1.1 Background 1 1.2 Research Objective 2 1.3 Overview 2 Chapter 2. Literature Review 3 2.1 Literature Review on R&D Networks 3 2.2 Problem Description 3 2.3 Research Questions 3 Chapter 3. Model 5 3.1 Analysis Process 5 3.2 Collection of Patent Data 5 3.3 Extraction and Classification of Patent IPC Codes 6 3.4 Formulation and Analysis of the IPC Co-occurrence Network 7 Chapter 4. Data 11 4.1 Data 11 Chapter 5. Analysis results 12 5.1 Change in the Measures of the Entire Cumulative IPC Co-occurrence Network 12 5.2 Change of Important Technology and R&D Actors over Time 15 5.2.1 Important ICT-related Technology 15 5.2.2 Important R&D Actors over Time 17 Chapter 6. Conclusion 20 6.1 Key Findings and Implications 20 6.2 Contribution 21 6.3 Limitations and Future Study 21 Bibliography 23 Appendix 1: Full Version of Table 6 on Network Positions of ICT-related IPCs in Auto Manufacturing including the Column "Periphery" (2008-2014) 25 Appendix 2: Change in the Total Number of Applied Patents by Combination of R&D Actors for ICT-related hub IPCs 27 Abstract (Korean) 30 | - |
dc.format | application/pdf | - |
dc.format.extent | 686596 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | ICT 융합 | - |
dc.subject.ddc | 658 | - |
dc.title | Identifying ICT-Auto Manufacturing Convergence through Dynamic Network Analysis of Important Convergence Technology and R&D Actors | - |
dc.title.alternative | 주요 융합 기술과 R&D 주체의 동적 네트워크 분석을 통한 ICT-자동차 제조업 융합에 관한 연구 | - |
dc.type | Thesis | - |
dc.description.degree | Master | - |
dc.citation.pages | vi, 30 | - |
dc.contributor.affiliation | 공과대학 협동과정 기술경영·경제·정책전공 | - |
dc.date.awarded | 2017-02 | - |
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