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The 8th International Conference on Knowledge Management in Organizations: Social and Big Data Computing for Knowledge Management Softcover reprint of the original 1st ed. 2014 Edition
Author(s): Lorna Uden (Editor), Leon S.L. Wang (Editor), Juan Manuel Corchado Rodríguez (Editor), Hsin-Chang Yang (Editor), I-Hsien Ting (Editor)
- Publisher: Springer
- Publication Date: 27 Aug. 2016
- Edition: Softcover reprint of the original 1st ed. 2014
- Language: English
- Print length: 643 pages
- ISBN-10: 9402407081
- ISBN-13: 9789402407082
Book Description
The proceedings from the eighth KMO conference represent the findings of this international meeting which brought together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on knowledge management in organizations. This conference provided an international forum for authors to present and discuss research focused on the role of knowledge management for innovative services in industries, to shed light on recent advances in social and big data computing for KM as well as to identify future directions for researching the role of knowledge management in service innovation and how cloud computing can be used to address many of the issues currently facing KM in academia and industrial sectors.
Editorial Reviews
From the Back Cover
The proceedings from the eighth KMO conference represent the findings of this international meeting which brought together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on knowledge management in organizations. This conference provided an international forum for authors to present and discuss research focused on the role of knowledge management for innovative services in industries, to shed light on recent advances in social and big data computing for KM as well as to identify future directions for researching the role of knowledge management in service innovation and how cloud computing can be used to address many of the issues currently facing KM in academia and industrial sectors.
