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Anticipating Future Innovation Pathways Through Large Data Analysis

This book aims to identify promising future developmental opportunities and applications for Tech Mining. Specifically, the enclosed contributions will pursue three converging themes: The increasing availability of electronic text data resources relating to Science, Technology & Innovation (ST&a...

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Corporate Author: SpringerLink (Online service)
Other Authors: Daim, Tugrul U. (Editor, http://id.loc.gov/vocabulary/relators/edt), Chiavetta, Denise. (Editor, http://id.loc.gov/vocabulary/relators/edt), Porter, Alan L. (Editor, http://id.loc.gov/vocabulary/relators/edt), Saritas, Ozcan. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Innovation, Technology, and Knowledge Management,
Subjects:
Management.
Industrial management.
Big data.
Economic policy.
Industrial organization.
Innovation/Technology Management.
Big Data/Analytics.
R & D/Technology Policy.
Industrial Organization.
Online Access:https://doi.org/10.1007/978-3-319-39056-7

Internet

https://doi.org/10.1007/978-3-319-39056-7

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