Overview
- Introduces the concept of recursivity as a binding force between process and stability
- Suggests improvements to systems thinking in management studies
- Provides in-depth overview of knowledge, epistemology and autopoiesis
Part of the book series: SpringerBriefs in Business (BRIEFSBUSINESS)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
A common charge leveled against the autopoietic perspective is that it does not explain change or, consequently, knowledge creation. This book demonstrates that knowledge creation is not always an ongoing process, as is claimed in many process philosophy and autopoietic research works. The author introduces the idea of recursivity, which represents the explanatory potential for uninterrupted knowledge creation and paves the way for interaction between process (e.g. production) and stability (e.g. structure). The book describes the nature and role of recursivity in detail, especially in terms of how a system’s structure and production become media for one another. The book also acknowledges the value of the systems perspective on organizations in management studies, but suggests a different approach to defining systems, one that includes autopoietic elements.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Uninterrupted Knowledge Creation
Book Subtitle: Process Philosophy and Autopoietic Perspectives
Authors: Kaj U. Koskinen, Rainer Breite
Series Title: SpringerBriefs in Business
DOI: https://doi.org/10.1007/978-3-030-57303-4
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-57302-7Published: 07 October 2020
eBook ISBN: 978-3-030-57303-4Published: 06 October 2020
Series ISSN: 2191-5482
Series E-ISSN: 2191-5490
Edition Number: 1
Number of Pages: XV, 104
Number of Illustrations: 4 b/w illustrations
Topics: Management, Knowledge based Systems, Data Mining and Knowledge Discovery, IT in Business