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

Authors:
Yi Zhang;Xiao Zhou;Alan L. Porter;Jose M. Gomila;An Yan
Affiliations:
School of Management and Economics, Beijing Institute of Technology, Beijing, China;School of Management and Economics, Beijing Institute of Technology, Beijing, China;Technology Policy & Assessment Center, Georgia Institute of Technology, Atlanta, USA and Search Technology, Inc., Norcross, USA;Universitat Politecnica de Valencia, Valencia, Spain;School of Management and Economics, Beijing Institute of Technology, Beijing, China
Venue:
Scientometrics
Year:
2014

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Abstract

In recent years, the Triple Helix model has identified feasible approaches to measuring relations among universities, industries, and governments. Results have been extended to different databases, regions, and perspectives. This paper explores how bibliometrics and text mining can inform Triple Helix analyses. It engages Competitive Technical Intelligence concepts and methods for studies of Newly Emerging Science & Technology (NEST) in support of technology management and policy. A semantic TRIZ approach is used to assess NEST innovation patterns by associating topics (using noun phrases to address subjects and objects) and actions (via verbs). We then classify these innovation patterns by the dominant categories of origination: Academy, Industry, or Government. We then use TRIZ tags and benchmarks to locate NEST progress using Technology Roadmapping. Triple Helix inferences can then be related to the visualized patterns. We demonstrate these analyses via a case study for dye-sensitized solar cells.