虚拟社区知识共享行为：先有新颖知识的影响及作用机制

发布时间：2018-09-10 16:35

【摘要】：随着互联网技术的发展与普及,虚拟社区逐渐受到广大网民的追捧,也成为其共享知识的重要媒介。网民的知识共享行为对社区的发展来说也极其重要。因此,虚拟社区知识共享得到了研究者的广泛关注。目前关于知识共享的衡量指标主要包括数量和质量,后者主要集中在知识的有用性、及时性、准确性等,而知识的新颖性也是知识质量的重要指标。另外,目前关于虚拟社区知识共享的研究主要集中在个体因素、环境因素,其中关于已共享知识的角度主要在知识的有用性、可靠性等方面。本研究从已共享的知识中有无新颖知识的关注点出发,探讨其对用户知识共享行为(数量和新颖性)的影响及其机制,并进一步探讨先有新颖知识的数量对其的影响,共开展三个研究:研究一:采用单因素被试间两水平(已共享的知识中有新颖知识,已共享的知识中无新颖知识)设计,以已共享的知识中有无新颖知识为自变量、后续用户共享知识(包括非重复性知识和评论性知识)的数量及新颖性为因变量,结果表明:(1)在共享知识的数量上,包括非重复性与评论性知识的数量,自变量的两水平间差异不显著;(2)在非重复性知识的新颖性上,两水平间差异显著,其中,与已共享的知识中无新颖知识相比,已共享的知识中含有新颖知识更能够提升其新颖性,而在评论性知识的新颖性上,两水平间差异不显著;研究二:采用单因素被试两水平(同上)设计,以认知动机为中介变量,以非重复性知识的新颖性为因变量,结果发现,认知动机在已共享的知识中有无新颖知识与共享非重复性知识的新颖性间起到完全中介的作用;研究三:采用单因素被试间五水平(先有新颖知识1条、2条、3条、4条、5条)设计,以先有新颖知识的数量为自变量、后续用户共享知识(包括非重复性知识和评论性知识)的数量及新颖性为因变量,结果发现:(1)在非重复性知识的数量上,先有新颖知识的数量间差异不显著;(2)在评论性知识的数量上,先有新颖知识的数量间差异显著,其中,与低数量水平的先有新颖知识相比,高数量水平的先有新颖知识更能够提升其数量;(3)在非重复性知识的新颖性上,先有新颖知识的数量间差异显著,其中,与高数量水平的先有新颖知识相比,低数量水平的先有新颖知识更能够提升其新颖性;(4)在评论性知识的新颖性上,先有新颖知识的数量间差异显著,其中,与低数量水平的先有新颖知识相比,高数量水平的先有新颖知识更能够提升其新颖性。综上所述,本研究研究结论如下:(1)已共享的知识中有无新颖知识影响后续用户共享非重复性知识的新颖性,与已共享的知识中无新颖知识相比,已共享的知识中含有新颖知识更能够提升其新颖性;(2)已共享的知识中有无新颖知识通过影响认知动机进而影响后续用户共享非重复性知识的新颖性。(3)先有新颖知识的数量影响后续用户共享非重复性知识的新颖性,与高数量水平相比,低数量水平的先有新颖知识更能够提升后续用户共享非重复性知识的新颖性;(4)先有新颖知识的数量影响后续用户共享评论性知识的数量和新颖性,与低数量水平相比,高数量水平的先有新颖知识更能够提升后续用户共享评论性知识的数量和新颖性。
[Abstract]:With the development and popularization of Internet technology, the virtual community has been gradually sought after by the vast number of netizens, and has become an important medium for sharing knowledge. The knowledge sharing behavior of netizens is also very important for the development of the community. Therefore, the knowledge sharing of virtual community has been widely concerned by researchers. It mainly includes quantity and quality, the latter mainly focuses on the usefulness, timeliness and accuracy of knowledge, and the novelty of knowledge is also an important indicator of knowledge quality. From the viewpoint of whether there is novel knowledge in the shared knowledge, this study explores its influence on user knowledge sharing behavior (quantity and novelty) and its mechanism, and further explores the influence of the number of new knowledge on it. The design takes whether there is novel knowledge in the shared knowledge as the independent variable, and the quantity and novelty of the subsequent users'shared knowledge (including non-repetitive knowledge and critical knowledge) as the dependent variable. The results show that: (1) the quantity of shared knowledge includes non-repetitive knowledge and non-repetitive knowledge. There is no significant difference between the two levels of independent variables and the quantity of critical knowledge. (2) There is a significant difference between the two levels of novelty of non-repetitive knowledge. Among them, the novelty of shared knowledge can be improved more than that of shared knowledge without novelty, while the novelty of critical knowledge can be improved by sharing novelty knowledge. There was no significant difference between the two-level (ibid.) design of single-factor subjects, with cognitive motivation as the mediating variable and novelty of non-repetitive knowledge as the dependent variable. Three: Using a single-factor five-level design (1, 2, 3, 4, 5 new knowledge first) with the number of new knowledge as an independent variable, and the number and novelty of subsequent users'shared knowledge (including non-repetitive knowledge and critical knowledge) as a dependent variable, the results showed that: (1) in the number of non-repetitive knowledge, there were novel prophets. There is no significant difference in the number of knowledge; (2) There is a significant difference in the number of novelty-first knowledge in critical knowledge, among which, compared with low-level novelty-first knowledge, high-level novelty-first knowledge can improve the number of novelty-first knowledge; (3) In the novelty of non-repetitive knowledge, there is a significant difference in the number of novelty-first knowledge. Significantly, compared with the high level of pre-existing knowledge, the low level of pre-existing novel knowledge can improve its novelty; (4) In the novelty of critical knowledge, there is a significant difference in the number of pre-existing novel knowledge, among which, compared with the low level of pre-existing novel knowledge, the high level of pre-existing novel knowledge is better. To sum up, the conclusions of this study are as follows: (1) whether new knowledge in shared knowledge affects the novelty of non-repetitive knowledge shared by subsequent users. Compared with no new knowledge in shared knowledge, the novelty of shared knowledge with new knowledge can be improved better; (2) whether new knowledge in shared knowledge affects the novelty of non-repetitive knowledge shared by subsequent users. (3) The number of pre-existing novel knowledge affects the novelty of subsequent users sharing non-repetitive knowledge by affecting cognitive motivation. (3) The number of pre-existing novel knowledge affects the novelty of subsequent users sharing non-repetitive knowledge. Compared with the high level of knowledge, the low level of pre-existing novel knowledge can improve subsequent users sharing non-repetitive knowledge better. Knowledge novelty; (4) The number of new knowledge first affects the number and novelty of subsequent users sharing critical knowledge. Compared with the low level, high level of new knowledge first can improve the number and novelty of subsequent users sharing critical knowledge.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：B842.1

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