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| 1 | Understanding the factors influencing user intention to continue contributing knowledge in social Q&A communities显示文摘Purpose: A social question & answer(SQA) community's long-term sustainability depends on its members' willingness to stay and contribute their knowledge continuously in the community. This research aims to investigate the critical factors which influence users' intention to continue contributing knowledge in the SQA community. Design/methodology/approach: Grounded on information systems(IS) continuance theory, this study put forward a model of the factors that influence SQA community members' intention to continue contributing knowledge. Survey was conducted to gather data from knowledge contributors of four major Chinese SQA communities(Baidu Knows, Sina iAsk, Soso Ask and Yahoo ! Knowledge). By using the partial least squares(PLS) technique, research hypotheses derived from the proposed model were empirically validated. Findings: Except enjoyment in helping others and knowledge self-efficacy, all other factors including extrinsic reward, reputation enhancement, realization of self-worth, perceived usefulness, attitude towards knowledge contribution, and satisfaction exert significant impacts on users' continuance intentions in an SQA community. Research limitations: First, important factors such as the ease of use of information systems which may influence users' continuance intentions were not investigated in the study. Second, the study sample needs to be enlarged, and users of smaller SQA communities should also be included, to make the results more representative. Practical implications: This study will help SQA community designers and managers develop or improve incentive mechanisms to attract more people to contribute their knowledgeand promote the development of the SQA community. Originality/value: This study improves the previous research models and puts forward a model of user continuance intention to contribute knowledge in an SQA community. It willextend the understanding of SQA community users' intention to continue contributing knowledge by distinguishing these users' different roles and focusing only on knowledge contributors. | Xian GUAN Shengli DENG | 2013 | Chinese Journal of Library and Information Science2013,,3: | 7 |
| 2 | 非正式网络学习知识社区类型研究显示文摘在知识经济时代,网络学习成为了一种高效学习方式,提供非正式网络学习的知识社区也成为知识交流、传递、共享、创新的重要途径。本文结合社会网络分析方法,提出了基于社会网络分析方法的知识社区量化分类方法。通过对知识社区的社会网络结构分析,探讨了知识社区用户学习行为特性,最后建立知识社区分类方法并详细阐述了知识社区的类型内涵。 | 陈萍萍 | 2014 | 经营管理者2014,,30: | 1 |
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