跳到主要內容

臺灣博碩士論文加值系統

(44.201.99.222) 您好!臺灣時間:2022/12/09 14:30
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:劉憶文
研究生(外文):Yi-Wen Liu
論文名稱:以社群網路分析方法探討專利引證關係趨勢-以智慧型手機為例
論文名稱(外文):Using social network analysis to explore the trend of patent citation relationship – the case of smartphone
指導教授:蔡介元蔡介元引用關係
指導教授(外文):Chieh-Yuan Tsai
口試委員:丁慶榮駱至中
口試委員(外文):Ching-Jung TingChih-Chung Lo
口試日期:1030724
學位類別:碩士
校院名稱:元智大學
系所名稱:工業工程與管理學系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:英文
論文頁數:89
中文關鍵詞:專利分析專利引證社群網路分析多時期預測分析
外文關鍵詞:Social network analysisPatent analysisMulti period prediction analysisPatent citation
相關次數:
  • 被引用被引用:0
  • 點閱點閱:89
  • 評分評分:
  • 下載下載:18
  • 收藏至我的研究室書目清單書目收藏:0
在智慧型手機市場蓬勃發展的現在,智慧型手機各大廠商面臨強烈的競爭,也因此近幾年各大廠商將激烈的競爭轉移到專利大戰。從專利的角度上看,若一個公司擁有越多的專利數量,不僅可以保護自我的智慧財產權,還可以起訴專利侵權公司,藉此削弱對方的信用與資產,並從中獲取侵權費用。然而在常用的專利分析方法及研究上隱藏著兩個問題,第一是他們的方法大都專注在專利的引證和被引證數量,而忽略透過專利相互引證的重要關係,這使得公司無法觀察到與其他公司在專利上的利益關係和競爭關係。第二是大部分的專利分析著重在單一時期(或靜態時期)的研究,這使得管理者很難精確地分析公司未來在專利引證關係上的趨勢。
有藉於此,本研究將透過社群網路分析方法(Social network analysis, SNA)探討智慧型手機公司在多時期的專利引證關係。為了探討公司與其他公司的研發強度和專利引證關係強度,本研究提出利用社群網路分析方法中的中心度指標,包括入度指標、出度指標、中間中心度指標和接近中心度指標進一步發展出專利研發程度指標(Patent research and development degree, PRD)和一個專利關係程度指標(Patent network relationship, PNR)。此外本研究透過相關性分析公司的研發強度和專利引證關係的多時期變化趨勢,並利用迴歸分析建立研發強度和專利引證關係強度的預測模型。使得公司管理人或使用者可以預測智慧型手機公司在多時期的專利研發強度和專利引證關係強度,並幫助使用者或管理人更了解競爭者的研發和專利引證狀況。本研究結果顯示三星和樂金有相對性較高的專利研發程度指標,也就是三星和樂金擁有相對上較強的研發團隊和擁有較高的專利品質,此外三星和樂金有相對較多與其它相關公司合作機會。而隨著時間的增長諾基亞和高通的專利研發強有最高的相關係數值,因此有關於通信技術、半導體、無線通信等的專利研發技術將有很高的機會在未來成長;另外隨著時間的增長國際商業機器公司和黑莓公司的專利引證關係強度有最高的相關係數值,這意味著國際商業機器公司和黑莓公司在未來有較多的機會與其他公司進行專利的交流和合作。
The smartphone industry has emerged as an exciting and fast-changing field. Smartphone companies are now facing strong competition from other companies. Recently, competitive relationship among companies is extended to the patent war. Owning more patents can not only protect a company’s, the intellectual property rights but also can earn infringement revenue through suing infringement competitors. However, most patent analysis methods and researches reveal two main problems. First, most patent analysis research used quantity of patents being cited or citing as a method to judge the patent strength of a company, and neglected to consider relation among patent citation. Second, most patent analysis researches focus on a single time period (or a static state time period) instead of multi-time periods.
In order to bridge the patent analysis gap, this study proposes a social network analysis (SNA) based approach to analyze patent citation relation in multiple periods. This research defines the patent research and development degree (PRD) and patent network relationship (PNR) to explore company’s research and development (R&D) strength and patent citation relation strength between companies. Further, this research uses correlation coefficient to analyze company’s trend in PRD and PNR in multi-periods. In addition, build forecast model by liner regression methods to help managers (or users) forecast smartphone company’s PRD and PNR in the next time period.
This study applied PRD and PNR to explore twenty smartphone companies. It is found that Samsung and LG get higher PRD in each year which indicates Samsung and LG get stronger research and development strength in multiple periods. Furthermore, Samsung and LG also get higher PNR indicating they have higher probability of conducting patent cooperation with other companies. The Nokia and Qualcomm have highest correlation coefficient on PRD. Therefore, patent research and development of smartphone patents about communications and information technology, semiconductor, wireless telecommunications has higher probability increase in next period. IBM and Blackberry have highest correlation coefficient on PNR. Therefore, IBM and Blackberry will have higher probability of getting higher patent cooperation with other companies in next period.
Table of Contents I
List of Table III
List of Figures IV
Chapter 1 Introduction 1
1.1. Research background and motivation 1
1.2. Research Problems 2
1.3. Research Objectives 3
1.4. Thesis Organization 4
Chapter 2 Literature Review 5
2.1. Patent analysis 5
2.2. Social network analysis 9
2.3. Social network analysis for patent analysis 14
2.4. Summary 16
Chapter 3 Research Methodology 17
3.1. Overview for the proposed framework 17
3.2. Data collection for smartphone patents 21
3.3. Social network analysis for smartphone patents 21
3.3.1. In-degree centrality and out-degree centrality 22
3.3.2. Betweenness centrality 23
3.3.3. Closeness centrality 25
3.4. Patent competitive strength 27
3.4.1. Patent research and development degree (PRD) 27
3.4.2. Patent network relationship (PNR) 27
3.5. Trend analysis 29
3.5.1. Correlation coefficient 29
3.5.2. Regression analysis 30
Chapter 4 Implementation and experiment results 31
4.1. Data collection for smartphone patents 31
4.2. Social network analysis for smartphone companies 39
4.2.1. In-degree centrality 40
4.2.2. Out-degree centrality 41
4.2.3. Betweenness centrality 44
4.2.4. Closeness centrality 47
4.3. Patent competitive strength for smartphone companies 50
4.3.1. Patent research and development degree (PRD) 50
4.3.2. Patent network relationship (PNR) 51
4.4. Trend analysis for smartphone companies 54
4.4.1 Correlation coefficient for smartphone companies 54
4.4.2 Regression analysis for smartphone companies 58
4.5. Discussion 59
4.5.1. Background for Samsung and Apple 60
4.5.2. PRD for Samsung and Apple 61
4.5.3. PNR for Samsung and Apple 62
4.5.4. Trend analysis about Samsung and Apple 64
Chapter 5 Conclusions and future work 67
5.1. Conclusions and future work 67
5.2. Future work 69
References 70
Appendix A 75
Appendix B 80
Appendix C 85
1. Abbas, A., Zhang, L., and Khan, S. U., “A literature review on the state-of-the-art in patent analysis,” World Patent Information, 2014
2. Ahuja, M. K., Galletta, D. F., and Carley, K. M., “Individual centrality and performance in virtual R and D groups: An empirical study,” Management Science, 49(1), pp.21-38, 2003.
3. Apple new iPhone to have larger screen: Sources., 2012, The Times of India.
4. Bessen, J., and Meurer, M. J., Patent failure: How Judges, Bureaucrats, and Lawyers Put Innovators at risk, Princeton University Press, 2008
5. Bonino, D., Ciaramella, A., and Corno, F., “Review of the state-of-the-art in patent information and forthcoming evolutions in intelligent patent informatics,” World Patent Information, 32(1), pp.30-38, 2010.
6. Bono, J. E., and Anderson, M. H., “The advice and influence networks of transformational leaders,” Journal of Applied Psychology, 90(6), pp.1306, 2005.
7. Borgatti, S. P., “Centrality and network flow,” Social Networks, 27(1), pp.55-71, 2005.
8. Brass, D. J., and Burkhardt, M. E., “Centrality and power in organizations,” Networks and Organizations: Structure, Form, and Action, pp.191-215, 1992.
9. Breschi, S., and Francesco., “Knowledge networks from patent data,” Handbook of Quantitative Science and Technology Research, pp.613-643, 2005.
10. Capellari, S., and De Stefano, D., “University-owned and university-invented patents: a network analysis on two Italian universities,” Scientometrics, pp.1-17, 2013.
11. Chai, C. L., Liu, X., Zhang, W. J., and Baber, Z., “Application of social network theory to prioritizing oil & gas industries protection in a networked critical infrastructure system,” Journal of Loss Prevention in the Process Industries, 24(5), pp.688-694, 2011.
12. Costenbader, E., and Valente, T. W., “The stability of centrality measures when networks are sampled,” Social networks, 25(4), pp.283-307, 2003.
13. Cremers, K., Determinants of patent litigation in Germany: ZEW Discussion Papers, 2004.
14. Cohan, P., 2012, 5 Reasons to Scrap Our Patent System. http://www.forbes.com/sites/petercohan/2012/10/08/5-reasons-to-scrap-our-patent-system-1-apples-siri/.
15. Denison, D. R., Hooijberg, R., and Quinn, R. E., “Paradox and performance: Toward a theory of behavioral complexity in managerial leadership,” Organization Science, 6(5), pp.524-540, 1995.
16. Ernst, H., “Patent applications and subsequent changes of performance: evidence from time-series cross-section analyses on the firm level,” Research Policy, 30(1), pp.143-157, 2001.
17. Freeman, L. C., “Centrality in social networks conceptual clarification.” Social networks, 1(3), pp.215-239, 1979.
18. Granovetter, M., “The strength of weak ties: A network theory revisited,” Sociological Theory, 1(1), pp.201-233, 1983.
19. Guimerà, R., Mossa, S., Turtschi, A., and Amaral, L. N., “The worldwide air transportation network: Anomalous centrality, community structure, and cities global roles,” Proceedings of the National Academy of Sciences, 102(22), pp.7794-7799, 2005.
20. Hall, B. H., Jaffe, A., and Trajtenberg, M., “Market value and patent citations,” RAND Journal of Economics, 36(1), pp.16-38, 2005.
21. HTC ditches Samsung components for other suppliers, a la Apple, 2012. http://www.techradar.com.
22. Kim, A., Partee, N., Reynolds, T., and Santamaria, M., “Patent litigation risk-scoring model,” Proceedings of the 2002 IEEE Systems and Information Design Symposium, pp.13-17, 2002.
23. Kim, H., and Song, J., “Social network analysis of patent infringement lawsuits,” Technological Forecasting and Social Change, 80, pp.944-955, 2013.
24. Kim, J., Choe, D., Kim, G., Park, S., and Jang, D., “Noise Removal Using TF-IDF Criterion for Extracting Patent Keyword,” Soft Computing in Big Data Processing, pp.61-69, 2014.
25. Kindermann, T. A., “Strategies for the study of individual development within naturally‐existing peer groups,” Social Development, 5(2), pp.158-173, 1996.
26. Katz, L., “A new status index derived from sociometric analysis.” Psychometrika, 18(1), pp.39-43, 1953.
27. Lacasa, I. D., and Giebler, A., “Technological Activities in CEE Countries: A Patent Analysis for the Period 1980-2009”, Halle Institute for Economic Research, 2014.
28. Lim, J., “Analysis of the relationship between patent litigation and citation: subdivision of citations,” Applied Mathematics & Information Sciences, 8(5), pp.2515-2522, 2014.
29. Liu, G., “Visualization of patents and papers in terahertz technology: A comparative study,” Scientometrics, 94(3), pp.1037-1056, 2013.
30. Luo, R., Lin, Y., and Ding, Q., “Studying MRI technology development using patent analysis,” Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on,IEEE, pp.373-377, 2013.
31. Liu, S.H., Liao, H.L0, Pi, S.M., and Hu, J.W., “Development of a patent retrieval and analysis platformea hybrid approach,” Expert Syst Appl, 38(6), pp.7864-7868, 2011.
32. Linli, 2013, TechNews. http://technews.tw/2013/09/04/look-smartphone-patent-portfolio-from-three-camps-pattern/
33. MacCormack, A. D., Forbath, T., Brooks, P., and Kalaher, P., Innovation through global collaboration: A new source of competitive advantage, Division of Research, Harvard Business School, 2007.
34. McLinden, D., “Concept maps as network data: Analysis of a concept map using the methods of social network analysis,” Evaluation and Program Planning, 36(1), pp.40-48, 2013.
35. Narin, F., Breitzman, A., and Thomas, P., “Using patent citation indicators to manage a stock portfolio,” Handbook of Quantitative Science and Technology Research: The Use of Publication and Patent Statistics in Studies of S&T Systems, pp.553-568, 2005.
36. Pappas, J. M., and Wooldridge, B., “Middle managers divergent strategic activity: an investigation of multiple measures of network centrality,” Journal of Management Studies, 44(3), pp.323-341, 2007.
37. Park, H., Yoon, J., and Kim, K., “Using function-based patent analysis to identify potential application areas of technology for technology transfer,” Expert Systems with Applications, 40(13), pp.5260-5265, 2013.
38. Qiu, F. X., “Evolution of Innovation Cooperation Networks in the Marine Industry,” Applied Mechanics and Materials, 496, pp.2884-2887, 2014.
39. Roy, P., Martínez, A., Miscione, G., Zuidgeest, M., and van Maarseveen, M., “Using social network analysis to profile people based on their e-communication and travel balance,” Journal of Transport Geography, 24, pp.111-122, 2012.
40. Scarlett Lo, S., “A comparative study of linkage indexes: Co-assignee, reciprocal citation, patent coupling and co-patent,” Journal of Library & Information Studies, 8(1), pp.11-27, 2010.
41. Scott, J., and Carrington, P. J., The SAGE handbook of social network analysis, SAGE publications, 2011.
42. Samsung Beats HP to Pole Position , 2010, Financial Times.
43. Samsung Overtakes Apple in Smartphone Sales, 2011, BBC News.
44. Sony reorganizes into onesony, prioritizes digital imaging, gaming, and mobile, 2012, The Verge .
45. Shih, H.Y., and Chang, T.L., “International diffusion of embodied and disembodied technology: A network analysis approach,” Technological Forecasting and Social Change, 76(6), pp.821-834, 2009.
46. Somaya, D., “Patent strategy and management an integrative review and research agenda,” Journal of Management, 38(4), pp.1084-1114, 2012.
47. Stark, D., and Vedres, B., “Social times of network spaces: network sequences and foreign investment in hungary,” American Journal of Sociology, 111(5), pp.1367-1411, 2006.
48. Van Doren, D., Koenigstein, S., and Reiss, T., “The development of synthetic biology: A patent analysis,” Systems and Aynthetic Biology, 7(4), pp.209-220, 2013.
49. Vanni, T., Mesa-Frias, M., Sanchez-Garcia, R., Roesler, R., Schwartsmann, G., Goldani, M. Z., and Foss, A. M., “International scientific collaboration in HIV and HPV: A network analysis,” PloS one, 9(3), 2014.
50. Wang, X., Xu, S., Liu, D., and Liang, Y., “The role of Chinese–American scientists in China–US scientific collaboration: A study in nanotechnology,” Scientometrics, 91(3), pp.737-749, 2012.


51. Wang, C.H., and Chen, S.C., “The relationship and development trend of patent analysis literature: Using citation analysis and social network,” Journal of Technology Management, 16(4), pp.41-76, 2011.
52. Zheng, J., Zhao, Z. Y., Zhang, X., Chen, D. Z., and Huang, M. H., “International collaboration development in nanotechnology: A perspective of patent network analysis,” Scientometrics, 98(1), pp.683-702, 2014.
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊