Articles and Publications

VantagePoint text-mining software has been used for numerous management of technology (MOT) applications (competitive technological intelligence, technology roadmapping, technology process management, etc.) as well as science and innovation policy applications (interdisciplinary research metrics, science maps, research evaluation, etc.). This site is a place to share  examples of published “TechMining” research. This archive contains more than 500 papers published since 2011. Scroll by clicking the “Older Entries” link at the bottom, or better yet, use the SEARCH function to the right to identify papers in your area of interest.

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TOP 10 SOURCES OF VP PUBLICATIONS

Scientometrics * Technological Forecasting and Social Change * PLoS ONE * Technology Analysis & Strategic Management * Journal of the Association for Information Science and Technology * IEEE Transactions on Engineering Management * Journal of Nanoparticle Research * Journal of Data and Information Science (JDIS) * Research Policy * World Patent Information.

A measure of staying power: Is the persistence of emergent concepts more significantly influenced by technical domain or scale? (full-text)
Effects of innovation management system standardization on firms: evidence from text mining annual reports
Patent information retrieval: approaching a method and analysing nanotechnology patent collaborations
Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies
Facebook in educational research: a bibliometric analysis
The global objective of sustainable development up to 2030 and the BRICS: the analysis of the feasibility and effectiveness of the synergies
The Diffusion of Military Technology
Scientometric analysis of the emerging technology landscape (full-text)
Text mining to gain technical intelligence for acquired target selection: A case study for China’s computer numerical control machine tools industry
Evolutionary trend analysis of nanogenerator research based on a novel perspective of phased bibliographic coupling