眾包模式下社會資本對知識轉(zhuǎn)移影響研究
[Abstract]:Since 1980s, in order to adapt to the changing market law and constantly update iterative science and technology, enterprises need to break the organizational boundaries and make full use of mass resources for cross-organizational knowledge transfer. Today, with the globalization of economy and the payment of knowledge, the internal knowledge innovation of enterprises is far from satisfying its development requirements, and the innovation of knowledge is even more difficult to obtain. Therefore, crowdsourcing emerges as the times require. Crowdsourcing platform is a complex virtual community composed of different individuals. The long-term interaction between individuals forms a complex network of relationships, and then forms social capital, which becomes an important factor for users to create and transfer knowledge. In order to be able to use crowdsourcing smoothly and give full play to the value advantage of mass knowledge creation, this paper, on the basis of reading and referencing a large number of research documents, takes knowledge transfer under crowdsourcing mode as the starting point of research. Based on the theory of social capital, this paper deeply studies the influence of knowledge transfer in crowdsourcing under the theory of social capital, which plays an important role in the successful development of crowdsourcing in enterprises. When studying the influencing factors of knowledge transfer, this paper firstly recombs the structural dimension, relation dimension and cognitive dimension of social capital according to the actual situation of crowdsourcing, and summarizes the social capital which is closely related to crowdsourcing. At the same time, in order to better study the effectiveness of knowledge transfer, this paper takes the knowledge transfer intention in the theory of user behavior motivation as an intermediary variable, and establishes a research model of the influence of social capital on knowledge transfer in crowdsourcing. Finally, the relationship between the variables in the model is assumed. In the part of empirical research, this paper collects the research data through SPSS21.0 and AMOS19.0, analyzes the reliability and validity of the questionnaire, and studies the fitting degree and rationality of the model. The modified research model is obtained. The research shows that: 1) in the dimension of social capital structure, the interaction intensity, the willingness of knowledge transfer and the effectiveness of knowledge transfer have a significant positive impact. 2) in the dimension of cognition, there is a significant positive effect on the efficiency of knowledge transfer. Knowledge distance has a significant negative impact on the effectiveness of knowledge transfer, and has no significant effect on knowledge transfer willingness. At the same time, shared vision has no significant effect on knowledge transfer willingness and knowledge transfer effectiveness. 3) in relation dimension, trust and reciprocity have significant positive effects on knowledge transfer willingness and knowledge transfer effectiveness. However, community acceptance only has a significant positive effect on knowledge transfer willingness. 4) knowledge transfer willingness has a positive correlation with knowledge transfer effectiveness. In addition, based on these conclusions, this paper gives the development strategy of crowdsourcing, which can be used for reference.
【學(xué)位授予單位】:華中師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F272
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