Anticipating Future Innovation Pathways Through Large Data Analysis

• Corporate Author: SpringerLink (Online service)
• Other Authors: Daim, Tugrul U. (Editor), Chiavetta, Denise (Editor), Porter, Alan L. (Editor), Saritas, Ozcan (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Innovation, Technology, and Knowledge Management,
• Subjects: Business.; Management.; Industrial management.; Big data.; Industrial organization.; Economic policy.; Business and Management.; Innovation/Technology Management.; Big Data/Analytics.; R & D/Technology Policy.; Industrial Organization.

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...