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

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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.

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Notes

  1. Dr. Chen Xu, who graduated in Materials Science and Engineering, Georgia Tech and works in IBM; Ms. Tingting Ma, PhD student at the School of Management and Economics, Beijing Institute of Technology, who has been analyzing DSSCs for three years; and Dr. Jud Ready, principal research engineer in nanotechnology and materials engineering, Georgia Tech Research Institute, who reviewed and agreed with our results finally.

Abbreviations

CAS:

Chinese Academy of Science

CTI:

Competitive technical intelligence

DII:

Derwent innovations index

DSSCs:

Dye-sensitized solar cells

FTA:

Future-oriented technology analysis

NEST:

Newly Emerging Science & Technology

NLP:

Nature language processing

P&S:

Problem & solution

PCA:

Principle components analysis

SCI:

Science citation index

SME:

Small and medium enterprises

ST&I:

Science, technology & innovation

THM:

Triple Helix model

TRM:

Technology roadmapping

WoS:

Web of science

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Acknowledgments

We acknowledge support from the US National Science Foundation (Award #1064146—“Revealing Innovation Pathways: Hybrid Science Maps for Technology Assessment and Foresight”). The findings and observations contained in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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Authors and Affiliations

  1. School of Management and Economics, Beijing Institute of Technology, Beijing, China

    Yi Zhang, Xiao Zhou & An Yan

  2. Technology Policy & Assessment Center, Georgia Institute of Technology, Atlanta, GA, USA

    Alan L. Porter

  3. Search Technology, Inc., Norcross, GA, USA

    Alan L. Porter

  4. Universitat Politecnica de Valencia, Valencia, Spain

    Jose M. Vicente Gomila

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  1. Yi Zhang
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  2. Xiao Zhou
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  5. An Yan
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Correspondence to Yi Zhang.

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Zhang, Y., Zhou, X., Porter, A.L. et al. Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping. Scientometrics 99, 55–75 (2014). https://doi.org/10.1007/s11192-013-1090-9

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