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

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.

[1]  Henry Etzkowitz,et al.  Triple Helix Clusters: Boundary Permeability at University—Industry—Government Interfaces as a Regional Innovation Strategy , 2012 .

[2]  Von-Wun Soo,et al.  A cooperative multi-agent platform for invention based on patent document analysis and ontology , 2006, Expert Syst. Appl..

[3]  Ming-Chuan Chiu,et al.  Application of axiomatic design, TRIZ, and mixed integer programming to develop innovative designs: a locomotive ballast arrangement case study , 2012 .

[4]  Alan L. Porter,et al.  Mining External R&D , 2011 .

[5]  Mikhail Verbitsky,et al.  Semantic TRIZ , 2004 .

[6]  M. L. Garcia,et al.  Introduction to technology roadmapping: The semiconductor industry association`s technology roadmapping process , 1997 .

[7]  Valeria Arza,et al.  What drives the formation of ‘valuable’ university–industry linkages?: Insights from the wine industry , 2009 .

[8]  Gohar Feroz Khan,et al.  A comparison of the Daegu and Edinburgh musical industries: a triple helix approach , 2011, Scientometrics.

[9]  K. Narasimhan.  Simplified TRIZ: New Problem‐Solving Applications for Engineers and Manufacturing Professionals , 2006 .

[10]  Murat Bengisu,et al.  Critical and emerging technologies in Materials, Manufacturing, and Industrial Engineering: A study for priority setting , 2003, Scientometrics.

[11]  Alan L. Porter,et al.  Four dimensional Science and Technology planning: A new approach based on bibliometrics and technology roadmapping , 2014 .

[12]  Alan L. Porter,et al.  Technology opportunities analysis , 1995 .

[13]  Taeyong Yang,et al.  The Effect of Triple Helix System and Habitat on Regional Entrepreneurship: Empirical Evidence from the U.S. , 2011 .

[14]  Robert Phaal,et al.  Technology roadmapping—A planning framework for evolution and revolution , 2004 .

[15]  Ana M. Bernardos,et al.  Critical factors for success in university-industry research projects , 2009, Technol. Anal. Strateg. Manag..

[16]  Semyon Savransky,et al.  Engineering of Creativity: Introduction to TRIZ Methodology of Inventive Problem Solving , 2000 .

[17]  Alan L. Porter,et al.  A hybrid visualisation model for technology roadmapping: bibliometrics, qualitative methodology and empirical study , 2013, Technol. Anal. Strateg. Manag..

[18]  Hans Fogelberg,et al.  Regional innovation policy and public-private partnership: The case of Triple Helix Arenas in Western Sweden , 2012 .

[19]  Sung-Hyon Myaeng,et al.  Automatic discovery of technology trends from patent text , 2009, SAC '09.

[20]  Loet Leydesdorff,et al.  A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators , 2005, Scientometrics.

[21]  Zhen Li,et al.  A framework for automatic TRIZ level of invention estimation of patents using natural language processing, knowledge-transfer and patent citation metrics , 2012, Comput. Aided Des..

[22]  M. Grätzel,et al.  A low-cost, high-efficiency solar cell based on dye-sensitized colloidal TiO2 films , 1991, Nature.

[23]  Han Woo Park,et al.  Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators , 2011, Scientometrics.

[24]  Olivério D. D. Soares,et al.  Innovation and technology : strategies and policies , 1997 .

[25]  P. Craig Boardman,et al.  Government centrality to university–industry interactions: University research centers and the industry involvement of academic researchers , 2009 .

[26]  Ellen Domb,et al.  Simplified TRIZ: New Problem-Solving Applications for Engineers and Manufacturing Professionals , 2002 .

[27]  L. Leydesdorff,et al.  The dynamics of innovation: from National Systems and , 2000 .

[28]  Sungjoo Lee,et al.  Technological Forecasting & Social Change Business planning based on technological capabilities : Patent analysis for technology-driven roadmapping ☆ , 2009 .

[29]  Ruston M. Hunt,et al.  Search technology, Inc. , 1989, CHI '89.

[30]  Han Tong Loh,et al.  Grouping of TRIZ Inventive Principles to facilitate automatic patent classification , 2008, Expert Syst. Appl..

[31]  Chaomei Chen,et al.  Tech Mining: Exploiting New Technologies for Competitive Advantage , 2005, Inf. Process. Manag..

[32]  Loet Leydesdorff,et al.  The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics , 2003, Scientometrics.

[33]  Alan L. Porter,et al.  “Term clumping” for technical intelligence: A case study on dye-sensitized solar cells , 2014 .

[34]  魏屹东,et al.  Scientometrics , 2018, Encyclopedia of Big Data.