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Kwon S.,Georgia Institute of Technology | Porter A.,Georgia Institute of Technology | Porter A.,Search Technology Inc. | Youtie J.,Georgia Institute of Technology
Scientometrics | Year: 2016

In this study, we combine the specialization scores for publications and patents (the latter is a new indicator of cross-disciplinary engagement) to achieve more comprehensive navigation of the innovation trajectory of a technology. The patent specialization score draws upon counterpart research publication indicator concepts to measure patent diversity. Two nano-based technologies—Nano-enabled drug delivery (NEDD) and Graphene—provide contrasting explorations of the behavior of this indicator, alongside research publication indicators. Results show distinctive patterns of the two technologies and for the respective publication and patent indicators. NEDD research, as evidenced by publication and citation patterns, engages highly diverse research fields. In contrast, NEDD development, as reflected in patent International Patent Classifications (IPCs), concentrates on relatively closely associated fields. Graphene presents the opposite picture, with closely linked disciplines contributing to research, but much more diverse fields of application for its patents. We suggest that analyzing the field diversity of research publications and patents together, employing both specialization scores, can offer fruitful insights into innovation trajectories. Such information can contribute to technology and innovation management and policy for such emerging technologies. © 2016, Akadémiai Kiadó, Budapest, Hungary. Source


Shapira P.,University of Manchester | Shapira P.,Georgia Institute of Technology | Youtie J.,Georgia Institute of Technology | Porter A.L.,Georgia Institute of Technology | Porter A.L.,Search Technology Inc.
Scientometrics | Year: 2010

This article examines the development of social science literature focused on the emerging area of nanotechnology. It is guided by the exploratory proposition that early social science work on emerging technologies will draw on science and engineering literature on the technology in question to frame its investigative activities, but as the technologies and societal investments in them progress, social scientists will increasingly develop and draw on their own body of literature. To address this proposition the authors create a database of nanotechnology-social science literature by merging articles from the Web of Science's Social Science Citation Index and Arts and Humanities Citation Index with articles from Scopus. The resulting database comprises 308 records. The findings suggest that there are multiple dimensions of cited literature and that social science citations of other social scientists' works have increased since 2005. © 2010 Akadémiai Kiadó, Budapest, Hungary. Source


Zhang Y.,Beijing Institute of Technology | Zhou X.,Beijing Institute of Technology | Porter A.L.,Georgia Institute of Technology | Porter A.L.,Search Technology Inc. | And 2 more authors.
Scientometrics | Year: 2014

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. © 2013 Akadémiai Kiadó, Budapest, Hungary. Source


Carley S.,Georgia Institute of Technology | Porter A.L.,Georgia Institute of Technology | Porter A.L.,Search Technology Inc.
Scientometrics | Year: 2012

We introduce an indicator to measure the diffusion of scientific research. Consistent with Stirling's 3-factor diversity model, the diffusion score captures not only variety and balance, but also disparity among citing article cohorts. We apply it to benchmark article samples from six 1995 Web of Science subject categories (SCs) to trace trends in knowledge diffusion over time since publication. Findings indicate that, for most SCs, diffusion scores steadily increase with time. Mathematics is an outlier. We employ a typology of citation trends among benchmark SCs and correlate this with diffusion scores. We also find that self-cites do not, in most cases, significantly influence diffusion scores. © 2011 Akadémiai Kiadó, Budapest, Hungary. Source


Zhang Y.,Beijing Institute of Technology | Zhou X.,Beijing Institute of Technology | Porter A.L.,Georgia Institute of Technology | Porter A.L.,Search Technology Inc. | Vicente Gomila J.M.,Polytechnic University of Valencia
Scientometrics | Year: 2014

Competitive technical intelligence addresses the landscape of both opportunities and competition for emerging technologies, as the boom of newly emerging science & technology (NEST)-characterized by a challenging combination of great uncertainty and great potential-has become a significant feature of the globalized world. We have been focusing on the construction of a "NEST Competitive Intelligence" methodology that blends bibliometric and text mining methods to explore key technological system components, current R&D emphases, and key players for a particular NEST. This paper emphasizes the semantic TRIZ approach as a useful tool to process "Term Clumping" results to retrieve "problem & solution (P&S)" patterns, and apply them to technology roadmapping. We attempt to extend our approach into NEST Competitive Intelligence studies by using both inductive and purposive bibliometric approaches. Finally, an empirical study for dye-sensitized solar cells is used to demonstrate these analyses. © 2014 Akadémiai Kiadó, Budapest, Hungary. Source

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