【摘要】：隨著互聯(lián)網(wǎng)技術(shù)的發(fā)展與普及,虛擬社區(qū)逐漸受到廣大網(wǎng)民的追捧,也成為其共享知識(shí)的重要媒介。網(wǎng)民的知識(shí)共享行為對(duì)社區(qū)的發(fā)展來(lái)說(shuō)也極其重要。因此,虛擬社區(qū)知識(shí)共享得到了研究者的廣泛關(guān)注。目前關(guān)于知識(shí)共享的衡量指標(biāo)主要包括數(shù)量和質(zhì)量,后者主要集中在知識(shí)的有用性、及時(shí)性、準(zhǔn)確性等,而知識(shí)的新穎性也是知識(shí)質(zhì)量的重要指標(biāo)。另外,目前關(guān)于虛擬社區(qū)知識(shí)共享的研究主要集中在個(gè)體因素、環(huán)境因素,其中關(guān)于已共享知識(shí)的角度主要在知識(shí)的有用性、可靠性等方面。本研究從已共享的知識(shí)中有無(wú)新穎知識(shí)的關(guān)注點(diǎn)出發(fā),探討其對(duì)用戶知識(shí)共享行為(數(shù)量和新穎性)的影響及其機(jī)制,并進(jìn)一步探討先有新穎知識(shí)的數(shù)量對(duì)其的影響,共開(kāi)展三個(gè)研究:研究一:采用單因素被試間兩水平(已共享的知識(shí)中有新穎知識(shí),已共享的知識(shí)中無(wú)新穎知識(shí))設(shè)計(jì),以已共享的知識(shí)中有無(wú)新穎知識(shí)為自變量、后續(xù)用戶共享知識(shí)(包括非重復(fù)性知識(shí)和評(píng)論性知識(shí))的數(shù)量及新穎性為因變量,結(jié)果表明:(1)在共享知識(shí)的數(shù)量上,包括非重復(fù)性與評(píng)論性知識(shí)的數(shù)量,自變量的兩水平間差異不顯著;(2)在非重復(fù)性知識(shí)的新穎性上,兩水平間差異顯著,其中,與已共享的知識(shí)中無(wú)新穎知識(shí)相比,已共享的知識(shí)中含有新穎知識(shí)更能夠提升其新穎性,而在評(píng)論性知識(shí)的新穎性上,兩水平間差異不顯著;研究二:采用單因素被試兩水平(同上)設(shè)計(jì),以認(rèn)知?jiǎng)訖C(jī)為中介變量,以非重復(fù)性知識(shí)的新穎性為因變量,結(jié)果發(fā)現(xiàn),認(rèn)知?jiǎng)訖C(jī)在已共享的知識(shí)中有無(wú)新穎知識(shí)與共享非重復(fù)性知識(shí)的新穎性間起到完全中介的作用;研究三:采用單因素被試間五水平(先有新穎知識(shí)1條、2條、3條、4條、5條)設(shè)計(jì),以先有新穎知識(shí)的數(shù)量為自變量、后續(xù)用戶共享知識(shí)(包括非重復(fù)性知識(shí)和評(píng)論性知識(shí))的數(shù)量及新穎性為因變量,結(jié)果發(fā)現(xiàn):(1)在非重復(fù)性知識(shí)的數(shù)量上,先有新穎知識(shí)的數(shù)量間差異不顯著;(2)在評(píng)論性知識(shí)的數(shù)量上,先有新穎知識(shí)的數(shù)量間差異顯著,其中,與低數(shù)量水平的先有新穎知識(shí)相比,高數(shù)量水平的先有新穎知識(shí)更能夠提升其數(shù)量;(3)在非重復(fù)性知識(shí)的新穎性上,先有新穎知識(shí)的數(shù)量間差異顯著,其中,與高數(shù)量水平的先有新穎知識(shí)相比,低數(shù)量水平的先有新穎知識(shí)更能夠提升其新穎性;(4)在評(píng)論性知識(shí)的新穎性上,先有新穎知識(shí)的數(shù)量間差異顯著,其中,與低數(shù)量水平的先有新穎知識(shí)相比,高數(shù)量水平的先有新穎知識(shí)更能夠提升其新穎性。綜上所述,本研究研究結(jié)論如下:(1)已共享的知識(shí)中有無(wú)新穎知識(shí)影響后續(xù)用戶共享非重復(fù)性知識(shí)的新穎性,與已共享的知識(shí)中無(wú)新穎知識(shí)相比,已共享的知識(shí)中含有新穎知識(shí)更能夠提升其新穎性;(2)已共享的知識(shí)中有無(wú)新穎知識(shí)通過(guò)影響認(rèn)知?jiǎng)訖C(jī)進(jìn)而影響后續(xù)用戶共享非重復(fù)性知識(shí)的新穎性。(3)先有新穎知識(shí)的數(shù)量影響后續(xù)用戶共享非重復(fù)性知識(shí)的新穎性,與高數(shù)量水平相比,低數(shù)量水平的先有新穎知識(shí)更能夠提升后續(xù)用戶共享非重復(fù)性知識(shí)的新穎性;(4)先有新穎知識(shí)的數(shù)量影響后續(xù)用戶共享評(píng)論性知識(shí)的數(shù)量和新穎性,與低數(shù)量水平相比,高數(shù)量水平的先有新穎知識(shí)更能夠提升后續(xù)用戶共享評(píng)論性知識(shí)的數(shù)量和新穎性。
[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.
【學(xué)位授予單位】：華中師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：B842.1

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