Ecosystems and Technology Idea Generation and Content Model Processing

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 innovationsNew technologies supporting innovations systemsCompetitive business modelingContext-driven innovation modelingThe generation of ideas fasterThe measurement of relevant dataVirtual interfacesBusiness intelligence and content processingPredictive modelingHaptic expression and emotion recognition innovations, with applications to neurocognitive medical scienceThis 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 Michel FloydInnovation Ecosystems and Technology Eunice Mercier-LaurentSelf-Organizing Coordination and Control Approaches: The Impact of Social Norms on Self-Regulated Innovation Activities in Self-Managing Teams Maria Carmela Annosi, Federica Brunetta, and Mats MagnussonDigital Opportunities for First-Year University Students’ Motivational Enhancement Dace RatnieceBuilding a Successful Innovation Platform for Affordable Medical Technology in Low Resource SettingsRamakrishna Pappu and Jagdish ChaturvediSoft-Factors Enabling Innovation Christine G. KappIoT and M.E.S.: Are You Ready for the Next Industrial Revolution? Selem CharfiA Structured Process to Generate Ideas in Med Tech Jagdish Chaturvedi and Ramakrishna PappuLogic-Based Medicine versus Evidence-Based Medicine for Modeling Qualified-Self Health Kits Patrick EklundVirtual Mobile Interfaces, Business Intelligence, and Analytics Content Processing Cyrus F. NouraniA Haptic Computing basis for Facial or Visual Emotion Expression RecognitionCyrus F. Nourani

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. Nourani’s 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. Nourani’s 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.