Ecosystems and Technology: Idea Generation and Content Model Processing, presents important new innovations in the area of management and computing. Innovation is the generation and application of new ideas and skills to produce new products, processes, and services that improve economic and social prosperity. This includes management and design policy decisions and encompasses innovation research, analysis, and best practice in enterprises, public and private sector service organizations, government, regional societies and economies.

The book, the first volume in the Innovation Management and Computing book series, looks at technology that improves efficiency and idea generation, including systems for business, medical/health, education, and more.

The book provides detailed examples to provide readers with current issues, including

• Venture planning for innovations
• New technologies supporting innovations systems
• Competitive business modeling
• Context-driven innovation modeling
• The generation of ideas faster
• The measurement of relevant data
• Virtual interfaces
• Business intelligence and content processing
• Predictive modeling
• Haptic expression and emotion recognition innovations, with applications to neurocognitive medical science

This book provides a wealth of information that will be useful for IT and business professionals, educators, and students in many fields.

Ecosystems and Technology: Idea Generation and Content Model Processing, presents important new innovations in the area of management and computing. Innovation is the generation and application of new ideas and skills to produce new products, processes, and services that improve economic and social prosperity. This includes management and design policy decisions and encompasses innovation research, analysis, and best practice in enterprises, public and private sector service organizations, government, regional societies and economies.

The book, the first volume in the Innovation Management and Computing book series, looks at technology that improves efficiency and idea generation, including systems for business, medical/health, education, and more.

The book provides detailed examples to provide readers with current issues, including

• Venture planning for innovations
• New technologies supporting innovations systems
• Competitive business modeling
• Context-driven innovation modeling
• The generation of ideas faster
• The measurement of relevant data
• Virtual interfaces
• Business intelligence and content processing
• Predictive modeling
• Haptic expression and emotion recognition innovations, with applications to neurocognitive medical science

This book provides a wealth of information that will be useful for IT and business professionals, educators, and students in many fields.