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Anticipating Future Innovation Pathways Through Large Data by Tugrul U. Daim,Denise Chiavetta,Alan L. Porter,Ozcan Saritas

By Tugrul U. Daim,Denise Chiavetta,Alan L. Porter,Ozcan Saritas

This publication goals to spot promising destiny developmental possibilities and purposes for Tech Mining. particularly, the enclosed contributions will pursue 3 converging themes:

  • The expanding availability of digital textual content information assets on the subject of technology, expertise and Innovation (ST&I).
  • The a number of equipment which are in a position to deal with this information successfully and comprise skill to faucet into human services and interests.
  • Translating these analyses to supply worthwhile intelligence on most probably destiny advancements of specific rising S&T targets. 

Tech Mining could be outlined as textual content analyses of ST&I details assets to generate aggressive Technical Intelligence (CTI). It combines bibliometrics and complex textual content analytic, drawing on really good wisdom referring to ST&I. Tech Mining can also be considered as a different type of “Big information” analytics since it searches on a goal rising expertise (or key association) of curiosity in worldwide databases. One then downloads, commonly, hundreds of thousands of field-structured textual content files (usually abstracts), and analyses these for helpful CTI.  Forecasting Innovation Pathways (FIP) is a strategy drawing on Tech Mining plus extra steps to elicit stakeholder and professional wisdom to hyperlink contemporary ST&I job to most probably destiny development. 

A decade in the past, we demeaned administration of expertise (MOT) as a little bit self-satisfied and ignorant.  Most expertise managers relied overwhelmingly on informal human judgment, principally oblivious of the opportunity of empirical analyses to notify R&D administration and technological know-how coverage.  CTI, Tech Mining, and FIP are altering that. the buildup of Tech Mining examine over the last decade bargains a wealthy source of capacity to get at rising know-how advancements and organizational networks so far.  Efforts to bridge from these fresh histories of improvement to undertaking most probably FIP, even though, turn out significantly tougher. One concentration of this quantity is to increase the repertoire of data assets; that would improve FIP.

Featuring instances of novel techniques and purposes of Tech Mining and FIP, this quantity will current frontier advances in ST&I textual content analytics that might be of  interest to scholars, researchers, practitioners, students and coverage makers within the fields of R&D making plans, expertise administration, technological know-how coverage and innovation strategy.

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