Understanding user behavioral patterns in open knowledge communities. Issue 2 (17th February 2018)

• Record Type: Journal Article
• Authors: Yang, Xianmin; Song, Shuqiang; Zhao, Xinshuo; Yu, Shengquan
• Is Part Of: Interactive learning environments. Volume 26:Issue 2(2018)
• Page Start: 245
• Page End: 255
• Publication Date: 2018-02-17
• Subjects: Open knowledge community -- sequential analysis -- behavioral pattern -- knowledge sharing; Educational technology -- United States -- Periodicals; 371.33
• DOI: 10.1080/10494820.2017.1303518
• Languages: English
• ISSNs: 1049-4820

Abstract

ABSTRACT: Open knowledge communities (OKCs) have become popular in the era of knowledge economy. This study aimed to explore how users collaboratively create and share knowledge in OKCs. In particular, this research identified the behavior distribution and behavioral patterns of users by conducting frequency distribution and lag sequential analyses. Some major problems, including the lack of certain significant behavioral sequences and the inadequacies of knowledge-sharing mechanisms and culture, were also determined. Moreover, this research discussed related problems and proposed several improvement measures for developing OKCs. Finally, the implications for researchers and practitioners were stated, and the shortcomings of this study were presented.