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. in particular, the enclosed contributions will pursue 3 converging themes:
- The expanding availability of digital textual content information assets in relation to technology, expertise and Innovation (ST&I).
- The a number of equipment which are capable of deal with this knowledge successfully and include capability to faucet into human services and interests.
- Translating these analyses to supply priceless intelligence on most likely destiny advancements of specific rising S&T targets.
Tech Mining might 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 bearing on ST&I. Tech Mining can also be seen as a different type of “Big info” analytics since it searches on a aim rising know-how (or key association) of curiosity in international databases. One then downloads, commonly, millions of field-structured textual content files (usually abstracts), and analyses these for beneficial CTI. Forecasting Innovation Pathways (FIP) is a technique drawing on Tech Mining plus extra steps to elicit stakeholder and specialist wisdom to hyperlink fresh ST&I task to most likely destiny development.
A decade in the past, we demeaned administration of know-how (MOT) as slightly self-satisfied and ignorant. Most expertise 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 study over the last decade bargains a wealthy source of potential to get at rising expertise advancements and organizational networks to this point. Efforts to bridge from these fresh histories of improvement to venture most likely FIP, notwithstanding, turn out significantly more durable. One concentration of this quantity is to increase the repertoire of knowledge assets; that might enhance FIP.
Featuring instances of novel ways and functions of Tech Mining and FIP, this quantity will current frontier advances in ST&I textual content analytics that may 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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Extra resources for Anticipating Future Innovation Pathways Through Large Data Analysis (Innovation, Technology, and Knowledge Management)
Anticipating Future Innovation Pathways Through Large Data Analysis (Innovation, Technology, and Knowledge Management) by Tugrul U. Daim,Denise Chiavetta,Alan L. Porter,Ozcan Saritas