Understanding User Behavioral Patterns in Open Knowledge Communities

Autor/inn/en	Yang, Xianmin; Song, Shuqiang; Zhao, Xinshuo; Yu, Shengquan
Titel	Understanding User Behavioral Patterns in Open Knowledge Communities
Quelle	In: Interactive Learning Environments, 26 (2018) 2, S.245-255 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1049-4820
DOI	10.1080/10494820.2017.1303518
Schlagwörter	Behavior Patterns; Foreign Countries; Communities of Practice; Statistical Distributions; Resource Units; Shared Resources and Services; Statistical Significance; Knowledge Management; Cooperation; Cooperative Learning; China (Beijing) + Suchen Sie Ihr Suchwort? Ausland; Community; Wahrscheinlichkeitsverteilung; Gemeinwirtschaft; Wissensmanagement; Co-operation; Kooperation; Kooperatives Lernen
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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01