Planning and Roadmapping Technological Innovations: Cases and Tools (Innovation, Technology, and Knowledge Management)

Daim, Tugrul U. (Editor) / Pizarro, Melinda (Editor) / Talla, Rajasree (Editor)

ISBN 10: 331934501X / ISBN 13: 9783319345017

Verlag: Springer, 2016

Beschreibung

reprint edition. 288 pages. 9.25x6.10x0.68 inches. In Stock.

Bestandsnummer des Verkäufers 331934501X

Bibliografische Details

• Titel: Planning and Roadmapping Technological Innovations: Cases and Tools (Innovation, Technology, and Knowledge Management)
• Verlag: Springer
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 331934501X
• ISBN-13: 9783319345017
• Einband: Paperback
• Zustand: Brand New
• Gewicht: 4,93 Kilogramm

Über diesen Titel

Inhaltsangabe

Across industries, firms vary broadly on how they operate with respect to their Research & Development (R&D) activities. This volume presents a holistic approach to evaluating the critical elements of R&D management, including planning, organization, portfolio management, project management, and knowledge transfer―by assessing R&D management from different sectors. Featuring empirical research and in-depth case studies from industries as diverse as medical imaging, electric vehicles, and cyber security, the authors identify common features of successful R&D management, despite fundamental differences, such as company size, number of employees, industry sector, and the R&D budget. In particular, they consider the implications for decision making with respect to resource allocation and investments, such as site selection, purchasing, and cross-departmental communication.

Von der hinteren Coverseite

Across industries, firms vary broadly on how they operate with respect to their Research & Development (R&D) activities.  This volume presents a holistic approach to evaluating the critical elements of R&D management, including planning, organization, portfolio management, project management, and knowledge transfer—by assessing R&D management from different sectors.  Featuring empirical research and in-depth case studies from industries as diverse as medical imaging, electric vehicles, and cyber security, the authors identify common features of successful R&D management, despite fundamental differences, such as company size, number of employees, industry sector, and the R&D budget.  In particular, they consider the implications for decision making with respect to resource allocation and investments, such as site selection, purchasing, and cross-departmental communication.