Computer Science & Information Management

Innovation Management and Computing

Computing Predictive Analytics, Business Intelligence, and Economics
Modeling Techniques with Start-ups and Incubators

Editor: Cyrus F. Nourani, PhD

Computing Predictive Analytics, Business Intelligence, and Economics

Published. Available now.
Pub Date: June 2019
Hardback Price: see ordering info
Hard ISBN: 9781771887298
Paperback ISBN: 978-1-77463-419-6
E-Book ISBN: 9780429465468
Pages: 312pp w/Index
Binding Type: hardbound / ebook / paperback
Series: Innovation Management and Computing
Notes: 13 color and 39 b/w illustrations

Now Available in Paperback


One of BookAuthority’s Best New Analytics Books to Read in 2020 and 2023!

This volume, Computing Predictive Analytics, Business Intelligence, and Economics: Modeling Techniques with Startups and Incubators, brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling.

Applications for management science and IT have been of interest areas for business schools and computing experts during recent years. Among the areas that are being treated are modern analytics, heterogeneous computing, business intelligence, ERP (enterprise resource planning), and decision science. Consumers have been pledging their love for data visualizations for a while now, and data is the area being explored, such as B2B and EC (E-commerce), E-business and the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many new applications are described and explored in this informative volume.

The chapter authors address diverse issues in conjunction with computing predictive analytics, business intelligence, and economics, including university startup incubators, innovation in business, high-tech startups, strategic leadership, developing management systems, sustainable manufacturing and services, strategic decision trees, identifying business competencies, and more.

The volume will prove informative to business managers, economists, technology leaders, start-ups, business school faculty and students, IT specialists, high-tech entrepreneurial groups, and others.

Key features:
  • Presents precise structural analytics for issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling
  • Discusses a new compositional view on how startups and incubation processes can play an interim role with bigger corporations
  • Explores the new digitization implications and big business intelligence, infrastructures, CRM and supply chain areas in startup incubator scenarios
  • Introduces new pragmatic techniques for competitive model enterprise resource planning that consider the complexities in modeling competencies with specific systems, which are important new developments for business models for corporations
  • Presents complete analytics processes with economic game models, random big data models and business plan optimization algorithms
  • Looks at causal loops on business models with optimal game plans for ventures and start-ups, with specific examples
  • Explores supply chain model examples and newer ontology-based systems for representing software requirements to accomplish enterprise success with increasing systems data volume and intra-structural ambiguities
  • Presents new business analytics visualization techniques and design prototypes
  • Describes new developments in design competitive model decision systems and goal-based analytics with impact model for business processes

CONTENTS:
Preface

1. University Start-Up Incubation in Europe’s Startup Metropolis No. 1: The Case of Technische Universität Berlin
Kristina Fajga and Jan Kratzer

2. First Build: Combining the Innovativeness of a Small Startup with a Large Corporation’s Strengths
Sverker Alänge and Annika Steiber

3. The End of Strategic Leadership: Be Extelligent or Extinct
Rob Van Kranenburg

4. Strategic Decision Trees on Impact Competitive Models
Cyrus F. Nourani and Codrina Lauth

5. A Framework for Development of Ontology-Based Competency Management System
Ilona Pawe?oszek

6. Sustainable Manufacturing and Services in Industry 4.0: Research Agenda and Directions
Sudhanshu Joshi, Manu Sharma, Rajat Agarwal, and Pankaj Madan

7. Multiplayer Competitive Model Games and Economics Analytics
Cyrus F. Nourani and Oliver Schulte

8. Silicon Valley’s Paradox of Success: A Katrina Effect
Henry Etzkowitz and Annika Steiber

9. Ontology-Based Approach for Representation of Software Requirements
Chellammal Surianarayanan, Deepa Vijay, and Gopinath Ganapathy

10. Competitive Model Business Analytics and ERP Open Loop Optimization
Cyrus F. Nourani

11. Competitive Models, Compatibility Degrees, and Random Sets
Cyrus F. Nourani

12. Live Graphical Computing Logic, Virtual Trees, and Visualization
Cyrus F. Nourani

13. Inference Trees, Competitive Models, and Sparse Big Data Heuristics
Cyrus F. Nourani and Johannes Fähndrich


14. A Sequent Game Description Logic: Preliminary Brief
Cyrus F. Nourani and Oliver Schulte


Index


About the Authors / Editors:
Editor: Cyrus F. Nourani, PhD
Research Professor, Entreprenurer and Independent Consultant

Dr. Cyrus F. Nourani has a national and international reputation in computer science, artificial intelligence, mathematics, virtual haptic computation, enterprise modeling, decision theory, data sciences, predictive analytics economic games, information technology, and management science. In recent years he has been engaged as a Research Professor at Simon Frasier University in Burnaby, British Columbia, Canada, and at the Technical University of Berlin, Germany, and has been working on research projects in Germany, Sweden, and France. 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.

Dr. Nourani commenced his university degrees at MIT, where he became interested in algebraic semantics. That was pursued with a world-renowned category theorist at the University of California and Oxford University. Dr. Nourani’s dissertation on computing models and categories proved to have pure mathematics foundations developments that were published from his postdoctoral times in US and Europe publications. He has taught AI to the Los Angeles aerospace industry and has worked in many R&D and commercial ventures. He has written and coauthored several books.

He has over 400 publications in computing science, mathematics, and management science, and he has written several books and has edited several volumes on additional topics, such as pure mathematics; AI, EC, and IT management science; decision trees; and predictive economics game modeling. In 1987, he founded Ventures for computing R&D and was a consultant for such 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.




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