Triple Helix innovation in China's dye-sensitized solar cell industry: Hybrid methods with semantic TRIZ and technology roadmapping

Scientometrics

Volumn 99, Issue 1, 2014, Pages 55-75

  Zhang, Yi ^a   Zhou, Xiao ^a   Porter, Alan L ^b,c   Gomila, Jose M Vicente ^d   Yan, An ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c Search Technology Inc   (United States)

^d UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

DSSCs; Emerging technology; Semantic TRIZ; Technology roadmapping; Text mining; Triple Helix model

Indexed keywords

EID: 84897644499     PISSN: 01389130     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11192-013-1090-9     Document Type: Article

References (35)

1. Arel, E. (2004). Goldfire Innovator: Optimizer user guide volume II: Patents and innovation trend analysis user guide (Vol. 1). Boston: Invention Machine Corporation.
2. Barbolla, A. M. B., & Corredera, J. R. C. (2009). Critical factors for success in university-industry research projects. Technology Analysis & Strategic Management, 21(5), 599-616.
3. Bengisu, M. (2003). Critical and emerging technologies in materials, manufacturing, and industrial engineering: A study for priority setting. Scientometrics, 48(3), 473-487.
4. Boardman, P. C. (2009). Government centrality to university-industry interactions: University research centers and the industry involvement of academic researchers. Research Policy, 38, 1505-1516.
5. Cong, H., & Tong, L. H. (2008). Grouping of TRIZ inventive principles to facilitate automatic patent classification. Expert Systems with Applications, 34, 788-795.
6. Etzkowitz, H. (2012). Triple Helix clusters: Boundary permeability at university-industry-government interfaces as a regional innovation strategy. Environment and Planning C-Government and Policy, 30(5), 766-779.
7. Etzkowitz, H., & Leydesdorff, L. (1995). The Triple Helix-University-industry-government relations: A laboratory for knowledge based economic development. EASST Review, 14, 14-19.
8. Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: from national systems and "Mode 2" to a Triple Helix of university-industry-government relations. Research Policy, 29(2), 109-123.
9. Fogelberg, H., & Thorpenberg, S. (2012). Regional innovation policy and public-private partnership: The case of Triple Helix Arenas in Western Sweden. Science and Public Policy, 39(3), 347-356.
10. Garcia, M. L. (1997). Introduction to technology roadmapping: The semiconductor industry association's technology roadmapping process. Sandia National Laboratories Report SAND97-0665, NM, USA.
11. Giuliania, E., & Arzab, V. (2009). What drives the formation of valuable university-industry linkages? Insights from the wine industry. Research Policy, 38, 906-921.
12. Goldfire Innovator, http://inventionmachine. com/products-and-services/innovation-software/goldfire-innovator/. Retrieved Jan 1, 2013.
13. Khan, G. F., Cho, S., & Park, H. (2012). A comparison of the Daegu and Edinburgh musical industries: A Triple Helix approach. Scientometrics, 90(1), 85-99.
14. Kim, Y., Kim, W., & Yang, T. (2012). The effect of the triple helix system and habitat on regional entrepreneurship: Empirical evidence from the U. S. Research Policy, 41(1), 154-166.
15. Kim, M., & Park, H. (2012). Measuring twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators. Scientometrics, 90(1), 121-140.
16. Kim, Y., Tian, Y., Jeong, Y., Ryu, J., & Myaeng, S. (2009). Automatic discovery of technology trends from patent text. In Proceedings of the 2009 ACM symposium on Applied Computing (ACM SAC 2009), Hawaii, USA.
17. Kremer, G. O., Chiu, M., Lin, C., Gupta, S., Claudio, D., & Thevenot, H. (2012). Application of axiomatic design, TRIZ, and mixed integer programming to develop innovative designs: a locomotive ballast arrangement case study. International Journal of Advanced Manufacturing Technology, 61, 824-827.
18. Lee, S., Yoon, B., & Lee, C. (2009). Business planning based on technological capabilities: Patent analysis for technology-driven roadmapping. Technological Forecasting and Social Change, 76, 769-786.
19. Leydesdorff, L. (2003). The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics. Scientometrics, 58(2), 445-467.
20. Li, Z., Tate, D., Lane, C., & Adamsb, C. (2012). A framework for automatic TRIZ level of invention estimation of patents using natural language processing, knowledge-transfer and patent citation metrics. Computer-Aided Design, 44, 987-1010.
21. Nakagawa, T. (2001). Introduction to TRIZ: A technological philosophy for creative problem solving. In The 23rd Annual Symposium of Japan Creativity Society, Tokyo, Japan.
22. 2 films. Nature, 353(6346), 737-740.
23. Park, H., Hong, H., & Leydesdorff, L. (2005). A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators. Scientometrics, 65(1), 3-27.
24. Phaal, R., Farrukh, C. J., & Probert, P. D. (2004). Technology roadmapping: A planning framework for evolution and revolution. Technological Forecasting and Social Change, 71, 5-26.
25. Porter, A. L., & Cunningham, S. W. (2005). Tech mining: Exploiting new technologies for competitive advantage. New York: Wiley.
26. Porter, A. L., & Detampel, M. J. (1995). Technology opportunity analysis. Technological Forecasting and Social Change, 49, 237-255.
27. Porter, A. L., & Newman, N. C. (2011). Mining external R&D. Technovation, 31(4), 171-176.
28. Rantanen, K., & Domb, E. (2008). Simplified TRIZ: New problem solving applications for engineers and manufacturing professionals (2nd ed.). New York: Auerbach Publications, Taylor & Francis Group.
29. Savransky, S. D. (2000). Engineering of creativity (introduction to TRIZ methodology of inventive problem solving). Boca Raton, FL: CRC Press LLC.
30. Soares, O. D. D., da Cruz, A. M., Pereira, G. C., Soares, I. M. R. T., & Reis, A. J. P. S. (1997). Innovation and technology: Strategies and policies. Dordrecht: Kluwer Academic Publishers.
31. Soo, V. W., Lin, S. Y., Yang, S. Y., Lin, S. N., & Cheng, S. L. (2006). A cooperative multi-agent platform for invention based on patent document analysis and ontology. Expert Systems with Applications, 31, 766-775.
32. VantagePoint, www. theVantagePoint. com. Retrieved Jan 1, 2013.
33. Verbitsky, M. (2004). Semantic TRIZ. triz-journal. com. http://www. triz-journal. com/archives/2004/02/2004-02-01. pdf. Retrieved July 11, 2013.
34. Zhang, Y., Guo, Y., Wang, X., Zhu, D., Porter, A. L. (2012a) A Hybrid visualization model for technology roadmapping: Bibliometrics, qualitative methodology, and empirical study. Technology Analysis & Strategic Management. doi: 10. 1016/j. techfore. 2012. 09. 010.
35. Zhang, Y., Porter, A. L., Hu, Z., Guo, Y., & Newman, N. C. (2012b), "Term Clumping" for technical intelligence: A case study on dye-sensitized solar cells. Technological Forecasting and Social Change (to appear).