Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Enterprise Social Media Research

Authors
Bing Wu, Chenyan Zhang
Corresponding Author
Bing Wu
Available Online November 2016.
DOI
10.2991/aiie-16.2016.123How to use a DOI?
Keywords
enterprise social media; behavior; knowledge sharing; cross-boundary
Abstract

There is a rapid growth of interest in understanding Enterprise Social Media (ESM). This article focused on a review of this topic from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science. Research results indicated that (1) the number of citations on these topics mainly distributes in recent 3 years, reaching climax of 25 in 2016; (2) the main research territory is USA, accounting for 50%, then followed by Netherland of 20%; (3) the year of published articles distributes between 2014 and 2016; (4) in the view of research area, there are 5 main areas: information science library science, business economics, psychology, communication and computer science. Overall, the related research topics can be classified into four aspects: definition and history, employee behavior, knowledge sharing on ESM, and cross-boundary communication.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/aiie-16.2016.123
ISSN
1951-6851
DOI
10.2991/aiie-16.2016.123How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bing Wu
AU  - Chenyan Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Enterprise Social Media Research
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 529
EP  - 532
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.123
DO  - 10.2991/aiie-16.2016.123
ID  - Wu2016/11
ER  -