Enterprise Social Media Research

被引：0

作者：

Wu, Bing ^{[1
]}

Zhang, Chenyan ^{[2
]}

机构：

[1] Tongji Univ, Sch Econ & Management, Shanghai, Peoples R China

[2] Shanghai Maritime Univ, Logist Res Ctr, Shanghai, Peoples R China

来源：

PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2016) | 2016年 / 133卷

关键词：

enterprise social media; behavior; knowledge sharing; cross-boundary; ORGANIZATIONS; DYNAMICS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 (SCIEXPANED) 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.

引用

页码：529 / 532

页数：4

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