Information and Communication Technologies (ICT) in Economic Modeling
(Sprache: Englisch)
This book presents the effects of integrating information and communication technologies (ICT) and economic processes in macroeconomic dynamics, finance, marketing, industrial policies, and in government economic strategy. The text explores modeling and...
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Klappentext zu „Information and Communication Technologies (ICT) in Economic Modeling “
This book presents the effects of integrating information and communication technologies (ICT) and economic processes in macroeconomic dynamics, finance, marketing, industrial policies, and in government economic strategy. The text explores modeling and applications in these fields and also describes, in a clear and accessible manner, the theories that guide the integration among information technology (IT), telecommunications, and the economy, while presenting examples of their applications. Current trends such as artificial intelligence, machine learning, and big data technologies used in economics are also included. This volume is suitable for researchers, practitioners, and students working in economic theory and the computational social sciences. Inhaltsverzeichnis zu „Information and Communication Technologies (ICT) in Economic Modeling “
PartI: Theory.- Chapter1: Agent-based Computational Economics and Industrial Organization Theory.- Chapter2: Towards a big-data based economy.- Chapter3: Real worlds: simulating non-standard rationality in microeconomics.- Chapter4: The many faces of crowdfunding: a brief classification of the systems and a snapshot of Kickstarter.- PartII: Applications.- Chapter5: Passing-on in Cartel Damages Action: an Agent-Based Model.- Chapter6: Modeling the dynamics of reward-based crowdfunding systems: an agent-based model of Kickstarter.- Chapter7: Fintech: The recovery activity for non-performing loans.- Chapter8: CDS MANAGER: An educational tool for credit derivative market.- Chapter9: A decision-making model for critical infrastructures in conditions of deep uncertainty.- Chapter10: SPIDER: the statistical approach to value assignment problem.- Chapter11: BIG DATA for fraud detectionBibliographische Angaben
- 2019, 1st ed. 2019, VI, 198 Seiten, 52 farbige Abbildungen, Maße: 15,7 x 24,2 cm, Gebunden, Englisch
- Herausgegeben: Federico Cecconi, Marco Campennì
- Verlag: Springer, Berlin
- ISBN-10: 3030226042
- ISBN-13: 9783030226046
Sprache:
Englisch
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