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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

International Journal of Organizational and Collective Intelligence (IJOCI)

International Journal of Organizational and Collective Intelligence (IJOCI)
Editor(s)-in-Chief: Victor Chang (Aston University, UK), Peng Liu (University of Kent)and Muthu Ramachandran (AI Tech and Forti5 Tech UK, United Kingdom)
Published: Continuous Volume
Copyright: ©2010
DOI: 10.4018/IJOCI
ISSN: 1947-9344
EISSN: 1947-9352

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Description

The International Journal of Organizational and Collective Intelligence (IJOCI) focuses on computing theories and empirical analyses of shared knowledge relevant to businesses. Containing both practical and theoretical articles on the technical and managerial aspects of intelligent computing, this journal reflects on current advancements in a variety of areas including knowledge computing, decision science, organizational systems, and robotics.



Contents

Volume 13, Issue 1
Volume 12, Issue 4
Volume 12, Issue 3
Volume 12, Issue 2
Volume 12, Issue 1
Volume 11, Issue 4
Volume 11, Issue 3
Volume 11, Issue 2
Volume 11, Issue 1
Volume 10, Issue 4
Volume 10, Issue 3
Volume 10, Issue 2
Volume 10, Issue 1
Volume 9, Issue 4
Volume 9, Issue 3
Volume 9, Issue 2
Volume 9, Issue 1
Volume 8, Issue 4
Volume 8, Issue 3
Volume 8, Issue 2
Volume 8, Issue 1
Volume 7, Issue 4
Volume 7, Issue 3
Volume 7, Issue 2
Volume 7, Issue 1
Volume 6, Issue 4
Volume 6, Issue 3
Volume 6, Issue 2
Volume 6, Issue 1
Volume 5, Issue 4
Volume 5, Issue 3
Volume 5, Issue 2
Volume 5, Issue 1
Volume 4, Issue 4
Volume 4, Issue 3
Volume 4, Issue 2
Volume 4, Issue 1
Volume 3, Issue 4
Volume 3, Issue 3
Volume 3, Issue 2
Volume 3, Issue 1
Volume 2, Issue 4
Volume 2, Issue 3
Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 4
Volume 1, Issue 3
Volume 1, Issue 2
Volume 1, Issue 1
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Mission

The mission of the International Journal of Organizational and Collective Intelligence (IJOCI) is to provide researchers and practitioners in the communities of computer and information sciences with a forum to advance the practice and understanding of computing theories and empirical analyses for realizing ā€œorganizational intelligence and collective intelligenceā€, i.e., intelligent computing for organizational and collective information from not only technical but also institutional and social aspects.

Journal Indices

Bacon's Media Directory
Library & Information Science Abstracts (LISA)
The Standard Periodical Directory
Ulrich's Periodicals Directory
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