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 functions for Tech Mining. particularly, the enclosed contributions will pursue 3 converging themes:

  • The expanding availability of digital textual content facts assets when it comes to technological know-how, expertise and Innovation (ST&I).
  • The a number of equipment which are capable of deal with this knowledge successfully and comprise capability to faucet into human services and interests.
  • Translating these analyses to supply important intelligence on most likely destiny advancements of specific rising S&T targets. 

Tech Mining may be outlined as textual content analyses of ST&I info assets to generate aggressive Technical Intelligence (CTI). It combines bibliometrics and complex textual content analytic, drawing on really expert wisdom concerning ST&I. Tech Mining can also be seen as a different kind of “Big facts” analytics since it searches on a objective rising expertise (or key association) of curiosity in international databases. One then downloads, more often than not, millions of field-structured textual content documents (usually abstracts), and analyses these for beneficial CTI.  Forecasting Innovation Pathways (FIP) is a strategy drawing on Tech Mining plus extra steps to elicit stakeholder and professional wisdom to hyperlink fresh ST&I task to most probably destiny development. 

A decade in the past, we demeaned administration of know-how (MOT) as just a little self-satisfied and ignorant.  Most know-how managers relied overwhelmingly on informal human judgment, principally oblivious of the possibility 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 during the last decade bargains a wealthy source of capacity to get at rising expertise advancements and organizational networks thus far.  Efforts to bridge from these fresh histories of improvement to undertaking most likely FIP, even though, turn out significantly more durable. One concentration of this quantity is to increase the repertoire of data assets; that might enhance FIP.

Featuring circumstances of novel ways and functions 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, technology coverage and innovation strategy.

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