Inter-technology networks to support innovation strategy: An analysis of Korea's new growth engines

Innovation: Management, Policy and Practice

Volumn 12, Issue 1, 2010, Pages 88-104

  Lee, Sung Joo ^a   Kim, Moon Soo ^b  

^a Ajou University   (South Korea)

^b Hankuk University of Foreign Studies   (South Korea)

Author keywords

Competition; Innovation strategy; Inter technology network; Korea; Patent citation; Patent citation network; Patent interaction network

Indexed keywords

EID: 78049525053     PISSN: 14479338     EISSN: None     Source Type: Journal    
DOI: 10.5172/impp.12.1.88     Document Type: Article

References (35)

1. Arato M (2003) A famous nonlinear stochastic equation: Lotka-Volterra model with diffusion, Mathematical and Computer Modelling 38: 709-726.
2. Achibugi D and Pianta M (1996) Measuring technological change through patents and innovation surveys, Technovation 16: 451-468.
3. Bazykin A (1998) Nonlinear dynamics of interacting populations, in Khibnik AI and Krauskopf B (eds) World scientific series on nonlinear science, Al 1, World Scientific, Singapore.
4. Bharagava SC (1989) Generalized Lotka-Volterra equations and the mechanism of technological substitution, Technological Forecasting and Social Change 35: 319-326.
5. Chesbrough HW (2003) Open innovation, Harvard Business School Press, Boston MA.
6. Choi C and Park Y (2008) Monitoring the organic structure of technology based on the patent development paths, doi: 10.1016/j.echfore.2008.10.007.
7. Choi C, Kim S and Park Y (2007) A patent-based cross impact analysis for quantitative estimation of technological impact: The case of information and communication technology, Technological Forecasting and Social Change 74: 1296-1314.
8. Christensen CM (1997) The innovators dilemma: When new technologies cause great firms to fail, Harvard Business School Press, Cambridge MA.
9. Christensen CM and Raynor ME (2003) The innovator's solution: Creating and sustaining successful growth. Harvard Business School Press, Cambridge MA.
10. Engelsman EC and van Raan AFJ (1994) A patentbased cartography of technology, Research Policy 23(1): 1-26.
11. Enkel E, Kausch C and Gassmann O (2005) Managing the risk of customer integration, European Management Journal 23(2): 203-213.
12. Ernst H (2003) Patent information for strategic technology management, World Patent Information 25(3): 233-242.
13. Fagerberg (2004) Innovation: a guide to the literature, in Fagerberg J, Mowery DC and Nelson RR (eds) Oxford handbook of innovation, Oxford University Press, Oxford.
14. Fagerberg J and Verspagen B (2009) Innovation studies: The emerging structure of a new scientific field, Research Policy 38: 218-233.
15. Granstrand O and Sjölander S (1990) Managing innovation in multi-technology corporations, Research Policy 19: 35-60.
16. Hall B, Jaffe AB and Trajtenberg M (2001) The NBER patent citation file: Lessons, insights and methodological tools, NBER Working Paper 8498.
17. Hu A and Jaffe AB (2001) Patent citations and international knowledge flow: The cases of Korea and Taiwan, NBER Working Paper 8528.
18. Hu A arid Jaffe AB (2003) Patent citations and international knowledge flow: The cases of Korea and Taiwan, International Journal of Industrial Organisation 21: 849-880.
19. Inkpen AC and Tsang EWK (2005) Social capital, networks, and knowledge transfer, Academy of Management Review 30(1): 146-165.
20. Islam N and Miyazaki K (2006) Nanotechnology innovation system: Strategic perspective, International Journal of Knowledge and Systems Science 3(1): 34-42.
21. Jaffe AB (1998) Demand and supply influences in R&D intensity and productivity growth, The Review of Economics and Statistics 70(3): 431-437.
22. Jaffe AB and Tranjtenberg M (1999) International knowledge flows: Evidence from patent citations, Economics of Innovation and New Technology 8: 105-136.
23. Karki MMS (1997) Patent citation analysis: A policy analysis tool, World Patent Information 19(4): 269-272.
24. Kim J, Lee D and Ahn J (2006) A dynamic competition analysis on the Korean mobile phone market using competitive diffusion model, Computers & Industrial Engineering 51(1): 174-182.
25. Knoke D and Kuklinski J (1983) Network analysis, Sage, Los Angeles.
26. Lee S, Kim M and Park Y (2009) ICT Co-evolution and Korean ICT strategy: An analysis based on patent data, Telecommunications Policy, doi: 10.1016/j.telpol.2009.02.004.
27. Lee S, Lee S, Seol H and Park Y (2008) Using patent information for designing new product and technology: Keyword-based technology roadmapping, R&D Management 38(2): 166-188.
28. Lotka AJ (1925) Elements of physical biology, Williams&Wilkins, Baltimore MD.
29. Modis T (1997) Generic re-engineering of corporations, Technological Forecasting and Social Change 56: 107-118.
30. Modis T (1999) Technological forecasting at the stock market, Technological Forecasting and Social Change 62: 173-202.
31. Park Y, Yoon B and Lee S (2005) The idiosyncrasy and dynamism of technological innovation across industries: Patent citation analysis, Technology in Society 27(4): 471-485.
32. Pavitt K (1998) Technologies, products and organisation in the innovating firm: What Adam Smith tells us and Joseph Schumpeter doesn't, Industrial and Corporate Change 7(3): 433-452.
33. Pistorius C and Utterback J (1997) Multi-mode interaction among technologies, Research Policy 26: 67-84.
34. Porter AL, Roper AT, Mason TW, Rossini FA and Banks J ( 1991 ) Forecasting and management of technology, Wiley, New York.
35. Scherer FM (1981) Using linked patent and R&D data to measure inter-industry technology flows, in Griliches Z (eds) R&D, Patents, and Productivity, pp. 417-464, University of Chicago Press for NBER, Chicago IL.