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.
Technology Selection for Software Startups. Innovation Ecosystems and
Technology. Self-Organizing Coordination and Control Approaches: The Impact
of Social Norms on Self-Regulated Innovation Activities in Self-Managing
Teams. Digital Opportunities for First-Year University Students Motivational
Enhancement. Building a Successful Innovation Platform for Affordable Medical
Technology in Low Resource Settings. Soft-Factors Enabling Innovation. IoT
and M.E.S.: Are You Ready for the Next Industrial Revolution?. A Structured
Process to Generate Ideas in Med Tech. Logic-Based Medicine versus
Evidence-Based Medicine for Modeling Qualified-Self Health Kits. Virtual
Mobile Interfaces, Business Intelligence, and Analytics Content Processing. A
Haptic Computing basis for Facial or Visual Emotion Expression Recognition.
Dr. Cyrus F. Nourani has a national and international reputation in computer science, artificial intelligence, mathematics, virtual haptic computation, information technology, predictive analytics, economics game models, decision trees, and management sciences. He has many years of experience in the design and implementation of computing systems. Dr. Nouranis academic experience includes faculty positions at the University of Michigan-Ann Arbor, the University of Pennsylvania, the University of Southern California, UCLA, MIT, and the University of California, Santa Barbara. He was a Visiting Professor at Edith Cowan University, Perth, Australia, and a Lecturer of Management Science and IT at the University of Auckland, New Zealand. His more recent years engagements are research professor at SFU Burnaby, British Columbia, Canada, and TU Berlin, Germany.
Dr. Nourani commenced his university degrees at MIT where he became interested in algebraic semantics. That was pursued with a category theorist at the University of California. Dr. Nouranis dissertation on computing models and categories proved to have novel mathematical foundations developments that were published from his postdoctoral times on at AMS, ASL, and European Mathematics circles. He has taught AI to the Los Angeles aerospace industry and has authored many R&D and commercial ventures. He has written and co-authored several books. He has over 400 publications in management sciences, pure mathematics, and computer science and has written on additional topics, such as AI, EC, decision trees, predictive economics game modeling. In 1987, he founded Ventures for computing R&D. He began independent consulting with clients such as System Development Corporation (SDC), the US Air Force Space Division, and GE Aerospace. Dr. Nourani has designed and developed AI robot planning and reasoning systems at Northrop Research and Technology Center, Palos Verdes, California. He also has comparable AI, software, and computing foundations and R&D experience at GTE Research Labs .He has written over 15 invention disclosures on the above areas.
