Overview
- Introduces the concept of 'knowledge flows' and its importance to knowledge management literature
- Provides a deeper understanding of knowledge management in knowledge-intensive business services
- Identifies and characterizes knowledge flows within the organization as well as potential factors affecting these flows
Part of the book series: Knowledge Management and Organizational Learning (IAKM, volume 10)
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Table of contents (7 chapters)
Keywords
About this book
Authors and Affiliations
About the author
Malgorzata Zieba is an Associate Professor of Management at Gdańsk University of Technology, Poland. She has been a research fellow within the Dekaban Liddle Fellowship Sheme at the University of Glasgow in 2012 and 2019. She has been a visiting lecturer at universities in Italy, Germany, Lithuania and Spain. She is the Vice-President and Board Member of the International Association for Knowledge Management (IAKM), and is a member of several conference committees, e.g.: European Conference on Knowledge Management, European Conference on Intellectual Capital, or International Conference on Intellectual Capital, Knowledge Management & Organisational Learning. She is the author of many publications, for example in Journal of Knowledge Management, Journal of Cleaner Production, Knowledge Management Research & Practice or Journal of Business Research. Her research interests focus on knowledge management, knowledge-intensive business services (KIBS), innovation management, and the development of knowledge-based economy.
Bibliographic Information
Book Title: Understanding Knowledge-Intensive Business Services
Book Subtitle: Identification, Systematization, and Characterization of Knowledge Flows
Authors: Malgorzata Zieba
Series Title: Knowledge Management and Organizational Learning
DOI: https://doi.org/10.1007/978-3-030-75618-5
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-75617-8Published: 24 June 2021
Softcover ISBN: 978-3-030-75620-8Published: 25 June 2022
eBook ISBN: 978-3-030-75618-5Published: 23 June 2021
Series ISSN: 2199-8663
Series E-ISSN: 2199-8671
Edition Number: 1
Number of Pages: XV, 222
Number of Illustrations: 29 b/w illustrations
Topics: Knowledge Management, Services, Data Mining and Knowledge Discovery