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 BookAuthoritys Best New Analytics Books to Read in 2020!
Arvustused
One of BookAuthoritys Best New Analytics Books to Read in 2020!
| About the Editor |
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ix | |
| Contributors |
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xi | |
| Abbreviations |
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xiii | |
| Preface |
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xv | |
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1 University Startup Incubation in Europe's Startup Metropolis No. 1: The Case of Technische Universitat Berlin |
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1 | (12) |
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2 FirstBuild: Combining the Innovativeness of a Small Startup with a Large Corporation's Strengths |
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13 | (24) |
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3 The End of Strategic Leadership: Be Extelligent or Extinct |
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37 | (12) |
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4 Strategic Decision Trees on Impact Competitive Models |
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49 | (28) |
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5 A Framework for Development of Ontology-Based Competency Management System |
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77 | (20) |
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6 Sustainable Manufacturing and Services in Industry 4.0: Research Agenda and Directions |
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97 | (24) |
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7 Multiplayer Competitive Model Games and Economics Analytics |
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121 | (34) |
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8 Silicon Valley: Too Much Success? |
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155 | (16) |
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9 Ontology-Based Approach for Representation of Software Requirements |
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171 | (14) |
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Chellammal Surianarayanan |
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10 Competitive Model Business Analytics and ERP Open Loop Optimization |
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185 | (24) |
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11 Competitive Models, Compatibility Degrees, and Random Sets |
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209 | (18) |
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12 Live Graphical Computing Logic, Virtual Trees, and Visualization |
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227 | (20) |
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13 Inference Trees, Competitive Models, and Sparse Big Data Heuristics |
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247 | (12) |
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14 A Sequent Game Computing Logic: Game Descriptions and Models |
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259 | (16) |
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| Index |
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275 | |
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.
