Download e-book for iPad: Anticipating Future Innovation Pathways Through Large Data by Tugrul U. Daim, Denise Chiavetta, Alan L. Porter, Ozcan

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

ISBN-10: 3319390546

ISBN-13: 9783319390543

ISBN-10: 3319390562

ISBN-13: 9783319390567

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 terms of technology, expertise and Innovation (ST&I).
  • The a number of tools which are capable of deal with this knowledge successfully and contain capability to faucet into human services and interests.
  • Translating these analyses to supply necessary intelligence on most probably destiny advancements of specific rising S&T goals.

Tech Mining may be outlined as textual content analyses of ST&I info assets to generate aggressive Technical Intelligence (CTI). It combines bibliometrics and complicated textual content analytic, drawing on really good wisdom relating ST&I. Tech Mining can also be seen as a distinct type of “Big information” 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 files (usually abstracts), and analyses these for helpful CTI. Forecasting Innovation Pathways (FIP) is a technique drawing on Tech Mining plus extra steps to elicit stakeholder and professional wisdom to hyperlink fresh ST&I task to most likely destiny improvement.

A decade in the past, we demeaned administration of expertise (MOT) as a little bit self-satisfied and ignorant. so much 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 during the last decade deals 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 venture most likely FIP, besides the fact that, end up significantly more durable. One concentration of this quantity is to increase the repertoire of data assets; that may improve FIP.

Featuring situations of novel ways and purposes of Tech Mining and FIP, this quantity will current frontier advances in ST&I textual content analytics that might be of curiosity 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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Extra info for Anticipating Future Innovation Pathways Through Large Data Analysis

Example text

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Bowonder et al. (2010) made 12 strategic suggestions for a company to obtain a competitive advantage. Even with tech mining, determining an organizational innovation strategy remains a complicated mission, and this process requires an engineering framework to reduce the risk. In addition, with the rapid growth of text mining technology, an increasing number of analytical methods and techniques can be integrated into the tech mining framework (Tseng et al. 2007; Wang et al. 2012; Wong et al. 2014; Wood and Williams 2014; Yoon et al.

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


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