Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 185)
Included in the following conference series:
Conference proceedings info: KMO 2014.
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Table of contents (39 papers)
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Knowledge Transfer, Sharing and Creation
Other volumes
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Knowledge Management in Organizations
Keywords
About this book
This book contains the refereed proceedings of the 9th International Conference on Knowledge Management in Organizations (KMO) held in Santiago, Chile, during September 2014. The theme of the conference is "Knowledge Management to Improve Innovation and Competitiveness through Big Data."
The KMO conference brings together researchers and developers from industry and academia to discuss and research how knowledge management using big data can improve innovation and competitiveness.
The 39 contributions accepted for KMO 2014 were selected from 89 submissions and are organized in sections on: big data and knowledge management, knowledge management practice and case studies, information technology and knowledge management, knowledge management and social networks, knowledge management in organizations, and knowledge transfer, sharing and creation.
Editors and Affiliations
Bibliographic Information
Book Title: Knowledge Management in Organizations
Book Subtitle: 9th International Conference, KMO 2014, Santiago, Chile, September 2-5, 2014, Proceedings
Editors: Lorna Uden, Darcy Fuenzaliza Oshee, I-Hsien Ting, Dario Liberona
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-319-08618-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-08617-0Published: 05 September 2014
eBook ISBN: 978-3-319-08618-7Published: 25 August 2014
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XII, 414
Number of Illustrations: 87 b/w illustrations
Topics: IT in Business, Data Mining and Knowledge Discovery, Artificial Intelligence, Computer Appl. in Administrative Data Processing