Rajagopal 
Crowd-Based Business Models [PDF ebook] 
Using Collective Intelligence for Market Competitiveness

Soporte

This book distinctively presents nine thematic discussions with real examples of small and large companies across the geographic destinations. Among many points of interest crowdsourcing, crowdfunding, decision-processes, technology, leadership, consumer behavior, crowd-based services designing, future perspectives in the context of crowd-based business modelling, and collective intelligence are central to the discussions in the book.

This book argues that crowd is the pivot of marketing. It fills the knowledge gap in people-led enterprises by integrating the customer ideation process and developing crowd-based business models to achieve performance with purpose. This book proposes crowd-based business strategies in the emerging markets and significantly contributes to the existing literature.


€149.79
Métodos de pago

Tabla de materias

Section I: The Crowd Foundation.- Chapter 1: Crowdsourcing.- Chapter 2: Crowdfunding.- Chapter 3: Crowd-based Business Modeling.- Section: II Crowd Dynamics in Business.- Chapter 4: Decision Space: Collective Intelligence.- Chapter 5: Crowd-based Business Leadership and Strategies.- Chapter 6: Technology and ‘Generation Next’ Business.- Chapter 7: Consumer Behavior and Cognitive Theories.- Chapter 8: Crowd-based Service Design.- Section III: Times Ahead.- Chapter 9: Future Perspectives.

Sobre el autor

Rajagopal is Professor of Marketing at EGADE Business School of Tecnologico de Monterrey, Mexico City Campus and Life Fellow of the Royal Society for Encouragement of Arts, Commerce, and Manufacture, London, United Kingdom. Dr. Rajagopal is serving as Visiting Professor at Boston University, Boston, Massachusetts, since 2013 and is also adjunct professor at the UFV India Global Education of the University of the Fraser Valley, Canada.

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Idioma Inglés ● Formato PDF ● Páginas 280 ● ISBN 9783030770839 ● Tamaño de archivo 4.0 MB ● Editorial Springer International Publishing ● Ciudad Cham ● País CH ● Publicado 2021 ● Descargable 24 meses ● Divisa EUR ● ID 7890893 ● Protección de copia DRM social

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