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Tech Mining

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Tech Mining or TechMining [see also Technology Mining refers to the extraction of useful intelligence from text about particular Science, Technology, or Innovation (STI) topics. The term “Tech Mining” was introduced by Porter and Cunningham in their book of that title. It is shorthand for text mining of STI. Tech Mining draws upon understanding of technological innovation processes in analyzing abstract records retrieved from global STI databases (e.g., Web of Science). Professors Alan Porter and Scott Cunningham use this term in the title of their book Tech Mining: Exploiting New Technologies for Competitive Advantage. In this text Porter defines Tech Mining as “the application of text mining tools to science and technology information, informed by the understanding of technological innovation processes”.[1]

Overview[edit]

Essential steps in doing Tech Mining include formulating a sharp research question to be addressed. Devising a strong search query to identify pertinent Research and Development (R&D) papers or patents is vital. While Tech Mining is primarily empirical, engaging topical experts really helps guide the study and interpret empirical findings.

Tech Mining employs analytical tools drawn from bibliometrics and text mining to answer “4 W” questions: Who? What? Where? and When? concerning a technical topic under study. For example, colleagues have addressed nanotechnology, solar cells, advanced drug delivery, and big data. Journal special issues have focused on Tech Mining or related topics. A rich compilation of Tech Mining studies is available at the VPInstitute website [see: www.vpinstitute.org].

Tech Mining can contribute to various technology management and science policy interests. It can offer “who’s doing what” competitive technical intelligence. Research profiling can inform researchers and R&D program managers of opportunities. Another important role is to inform future-oriented technology analyses.

Applications[edit]

Key applications of Tech Mining include: Technical Emergence, Technology Roadmapping, Term Clustering, Topic Modeling and Research Profiling. A more complete list of Tech Mining applications, along with a list of related publications, conferences and training videos, can be found at the VantagePoint Institute.

References[edit]

1. Porter, A.L. and S.W. Cunningham. Tech Mining: Exploiting New Technologies for Competitive Advantage. Hoboken: Wiley, 2004. Print.
2. Porter, A.L. (2007). How “Tech Mining” Can Enhance R&D Management. Research-Technology Management, 50(2): 15-20.
3. Porter, A.L. and N.C. Newman (2011). Mining external R&D. Technovation, 31(4): 171-176.
4. VantagePoint. Search Technology. Retrieved February 16, 2014.
5. VantagePoint Institute. VP Institute. Retrieved May 16, 2018.
6. VantagePoint Institute. Technical Emergence. Retrieved May 16, 2018.
7. VantagePoint Institute. Technology Roadmapping. Retrieved May 16, 2018.
8. VantagePoint Institute. Term Clustering. Retrieved May 16, 2018.
9. VantagePoint Institute. Topic Modeling. Retrieved May 16, 2018.
10. VantagePoint Institute. Research Profiling. Retrieved May 16, 2018.

External Links[edit]

Global Tech Mining Conference

Tech Mining website

VantagePoint

VantagePoint Institute website


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