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




ISBN 9781771887298
Published June 19, 2019 by Apple Academic Press
312 Pages - 13 Color & 39 B/W Illustrations

 
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Book Description

This volume 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.

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

Table of Contents

1. University Start-Up Incubation in Europe’s Start-Up Metropolis No. 1: The Case of Technische Universität Berlin 

Kristina Fajga and Jan Kratzer 

2. First Build: Combining the Innovativeness of a Small Start-Up 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 Pawełosze 

6. Sustainable Manufacturing and Services in Industry 4.0: Research Agenda and Directions 

Pankaj Madan, Rajat Agarwal, and Sudhanshu Joshi 

7. Multiplayer Competitive Model Games and Economics Analytics

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 and Oliver Schulte 

13. Live Graphical Computing Logic, Virtual Trees, and Visualization 

Cyrus F. Nourani

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Editor(s)

Biography

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.

Reviews

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