Complexity In Entrepreneurship Innovation And Technology Research
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Complexity in Entrepreneurship, Innovation and Technology Research
This volume discusses the challenge of dealing with complexity in entrepreneurship, innovation and technology research. Businesses as well as entire economies are increasingly being confronted by widespread complex systems. Fields such as entrepreneurship and innovation cannot ignore this reality, especially with their inherent links to diverse research fields and interdisciplinary methods. However, most methods that allow more detailed analyses of complex problems are either neglected in mainstream research or are, at best, still emerging. Against this backdrop, this book provides a forum for the discussion of emergent and neglected methods in the context of complexity in entrepreneurship, innovation and technology research, and also acts as an inspiration for academics across related disciplines to engage more in complexity research.
The Challenge of Dealing with Complexity in Entrepreneurship, Innovation and Technology Research
Complex systems seem to be all around us and the world, economies and businesses apparently become more complex every day. This is especially true for phenomena in entrepreneurship, innovation and technology research. This introductory chapter elaborates our understanding of complexity and explores the interdependencies in entrepreneurship, innovation and technology research with regard to complexity. When studying complexity it is essential to apply research methods that consider the non-linearity, dynamics and interrelatedness inherent in complexity. However, appropriate methods are frequently neglected or not yet established among the plethora of available research methods. This volume adds to the visibility of the application of emergent and neglected methods in the context of complexity in entrepreneurship, innovation and technology research. Finally, the chapter provides an overview of the contributions in this book.
Memetics and Evolutionary Economics
Author: Michael P. Schlaile
language: en
Publisher: Springer Nature
Release Date: 2020-12-21
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.