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Memetics and Evolutionary Economics: To Boldly Go Where no Meme has Gone Before: Economic Complexity and Evolution

Editat de Michael P. Schlaile
en Limba Engleză Paperback – 23 dec 2021
This book explores the question of whether and how meme theory or “memetics” can be fruitfully utilized in evolutionary economics and proposes an approach known as “economemetics” which is a combination of meme theory and complexity theory that has the potential to combat the fragmentation of evolutionary economics while re-connecting the field with cultural evolutionary theory. By studying the intersection of cultural and economic evolution, complexity economics, computational economics, and network science, the authors establish a connection between memetics and evolutionary economics at different levels of investigation. 
The book first demonstrates how a memetic approach to economic evolution can help to reveal links and build bridges between different but complementary concepts in evolutionary economics. Secondly, it shows how organizational memetics can help to capture the complexity of organizational culture using meme mapping. Thirdly, it presents an agent-based simulation model of knowledge diffusion and assimilation in innovation networks from a memetic perspective. The authors then use agent-based modeling and social network analysis to evaluate the diffusion pattern of the Ice Bucket Challenge as an example of a “viral meme.” Lastly, the book discusses the central issues of agency, creativity, and normativity in the context of economemetics and suggests promising avenues for further research.
 
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Specificații

ISBN-13: 9783030599577
ISBN-10: 3030599574
Ilustrații: XIX, 205 p. 35 illus., 32 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Economic Complexity and Evolution

Locul publicării:Cham, Switzerland

Cuprins

Editorial Introduction: We are the Memes, Resistance is Futile.- A Brief Overview of Memetics and Some Essential Context.- It’s more than Complicated! Using Organizational Memetics to Capture the Complexity of Organizational Culture.- A Case for Economemetics?.- It’s a Match! Simulating Compatibility-based Learning in a Network of Networks.- Viral Ice Buckets.- General Discussion: Economemetics and Agency, Creativity, and Normativity.- Conclusion and the Way(s) Forward.

Notă biografică

Michael P. Schlaile (ORCID 0000-0002-9269-0306) has been a Research Associate at the Department of Innovation Economics at the University of Hohenheim (Germany) since November 2016. From 2012 to 2016, Michael was a member of the scientific staff at the Department of Business Ethics. In early 2018, he also became an external Fellow at the Center for Applied Cultural Evolution in Eugene, OR, USA. Michael’s research focuses on responsibility and the interplay of cultural and economic evolution in complex socio-economic systems. He has published in various journals, such as Cognitive Systems Research, the International Journal of Computational Economics and EconometricsJournal of Business EthicsJournal of Business ResearchJournal of Evolutionary EconomicsPhilosophy of Management, and Sustainability.
 

Textul de pe ultima copertă

This book explores the question of whether and how meme theory or “memetics” can be fruitfully utilized in evolutionary economics and proposes an approach known as “economemetics” which is a combination of meme theory and complexity theory that has the potential to combat the fragmentation of evolutionary economics while re-connecting the field with cultural evolutionary theory. By studying the intersection of cultural and economic evolution, complexity economics, computational economics, and network science, the authors establish a connection between memetics and evolutionary economics at different levels of investigation.  The book first demonstrates how a memetic approach to economic evolution can help to reveal links and build bridges between different but complementary concepts in evolutionary economics. Secondly, it shows how organizational memetics can help to capture the complexity of organizational culture using meme mapping. Thirdly, it presents an agent-based simulation model of knowledge diffusion and assimilation in innovation networks from a memetic perspective. The authors then use agent-based modeling and social network analysis to evaluate the diffusion pattern of the Ice Bucket Challenge as an example of a “viral meme.” Lastly, the book discusses the central issues of agency, creativity, and normativity in the context of economemetics and suggests promising avenues for further research.
 

Caracteristici

Combines memetics and evolutionary economics Shows how network science and agent-based modeling can be used to analyze memes Offers suggestions for future research