9783741228667 - Crowd-based Intelligence in New Product Development and Knowledge Sharing: 4 de Heusler, Andreas (11 resultados)

Taschenbuch. 140 Seiten; Noch eingeschweisst (Lager 584) FA567AB628EE Sprache: Englisch Gewicht in Gramm: 180.

Broschiert. Condición: Gut. XXII; 118 Seiten; Das Buch befindet sich in einem ordentlich erhaltenen Zustand. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 180.

Condición: New. In.

Paperback. Condición: New.

Taschenbuch. Condición: Neu. Crowd-based Intelligence in New Product Development and Knowledge Sharing | Andreas Heusler | Taschenbuch | Electronic Commerce & Digital Markets | 140 S. | Englisch | 2016 | Books on Demand GmbH | EAN 9783741228667 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For a long time, any form of crowd was negatively associated with an anonymous, uncontrollable and unpredictable mob. The advent of the digital era and the attendant transition towards a knowledge society have changed this perception. The term is now associated with a high level of social interaction, cooperation and diversity.However, a crowd of people does not act intelligently per se, nor does it produce intelligent results by default. Instead, a crowd-based intelligence requires an appropriate mechanism to generate smart and beneficial outcomes.This dissertation demonstrates how a crowd-based intelligence can be implemented and applied to various fields, in particular for new product development and knowledge sharing purposes. It provides an overview of several application areas and the accompanying design decisions to build a crowd intelligence platform.Beyond conceptual support and a theoretical discourse, this dissertation aims to analyze and share the empirical findings and practical implications that have been gathered in real-world applications of these platforms. Derived from several field studies, we identify five key factors for a successful implementation of a crowd-based intelligence. 140 pp. Englisch.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand pp. 142.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. For a long time, any form of crowd was negatively associated with an anonymous, uncontrollable and unpredictable mob. The advent of the digital era and the attendant transition towards a knowledge society have changed this perception. The term is now associ.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - For a long time, any form of crowd was negatively associated with an anonymous, uncontrollable and unpredictable mob. The advent of the digital era and the attendant transition towards a knowledge society have changed this perception. The term is now associated with a high level of social interaction, cooperation and diversity.However, a crowd of people does not act intelligently per se, nor does it produce intelligent results by default. Instead, a crowd-based intelligence requires an appropriate mechanism to generate smart and beneficial outcomes.This dissertation demonstrates how a crowd-based intelligence can be implemented and applied to various fields, in particular for new product development and knowledge sharing purposes. It provides an overview of several application areas and the accompanying design decisions to build a crowd intelligence platform.Beyond conceptual support and a theoretical discourse, this dissertation aims to analyze and share the empirical findings and practical implications that have been gathered in real-world applications of these platforms. Derived from several field studies, we identify five key factors for a successful implementation of a crowd-based intelligence.