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Collaborative Innovation Networks

Latest Insights from Social Innovation, Education, and Emerging Technologies Research

João Leitão (Hrsg.), Peter A. Gloor (Hrsg.), Francesca Grippa (Hrsg.), Yang Song (Hrsg.)

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Springer International Publishing img Link Publisher

Sozialwissenschaften, Recht, Wirtschaft / Management

Beschreibung

Collaborative innovation networks are cyberteams of motivated individuals, and are self-organizing emergent social systems with the potential to promote health, happiness and individual growth in real-world work settings.

This book describes how to identify and nurture collaborative innovation networks in order to shape the future working environment and pave the way for health and happiness, and how to develop future technologies to promote economic development, social innovation and entrepreneurship. The expert contributions and case studies presented also offer insights into how large corporations can creatively generate solutions to real-world problems by means of self-organizing mechanisms, while simultaneously promoting the well-being of individual workers. The book also discusses how such networks can benefit startups, offering new self-organizing forms of leadership in which all stakeholders are encouraged to collaborate in the development of new products.



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Schlagwörter

Health management and innovation networks, Artificial intelligence and deep learning, Innovation networks and economics of happiness, Data mining for innovation, Swarm creativity and collaborative innovation, Social network analysis in innovation research