Web2.0环境下的知识转移对众包平台稳定性影响的研究

发布时间：2018-06-06 07:37

本文选题：Web2.0 + 知识转移　；参考：《陕西师范大学》2014年硕士论文

【摘要】：在MH370航班失踪后,美国"Digtal global"卫星公司启动众包平台项目,公布疑似区域卫星图像帮助搜寻,这一举动吸引全球上百万人参与到搜救工作。众包模式作为目前成功的商业模式已经受到越来越多的关注,一些知名企业,如宝洁、耐克等均通过众包为企业带来了创新。但是,在众包模式的发展中,一些问题也随之出现,众包平台无法保证每一个用户都会持续的参与项目,而且用户在参与项目过程中由于不稳定性发包方与收包方存在一定的效率低下。因此,本文根据众包模式目前存在的这一现象提出研究问题。在如今的知识经济时代,知识的核心价值也日益凸显,有效的知识转移成为了企业持续发展和创新的关键,为了解决众包平台稳定性欠缺这一问题,本文引入了知识转移作为影响因素进行研究。同时引入Web2.0环境作为调节变量对知识转移影响众包平台稳定性的研究进行更深一步的探究。研究首先通过大量的文献阅读确定本文的研究内容,针对Web2.0环境、知识转移与众包平台文献进行综述,总结目前学者们的研究,在其研究基础上分别对于本文的三个变量进行维度划分,将Web2.0环境划分为信息的丰富性与知识的可及性两个维度；知识转移划分为可信赖感与关系嵌入性两个维度；众包平台稳定性划分为奖金数量、参与人数与兴趣爱好三个维度。确定了研究对象后提出本文的研究模型及相关假设,利用发放问卷的形式获得研究数据；根据问卷数据对研究变量进行了信度与效度检验,检验结果证明各变量均显示出较好的一致性,进一步分析因子之间的相关关系确定模型中因子的是否存在影响关系,在确定各因子具有相关性的基础上对因子进行回归分析确定因子间的影响方向。针对Web2.0环境的调节效应进行调节变量的多元层次回归分析,对于模型整体利用AMOS进行结构方程模型进行检验,最后确定假设成立,得出本文结论：知识转移对众包平台稳定性具有正向影响；Web2.0环境对知识转移和众包平台稳定性具有调节效应。本论文选择了知识转移作为影响因素,并通过Web2.0环境作为调节变量进行实证分析,研究结果具有一定的价值。根据研究结果提出针对性的问题解决建议,为众包模式的未来发展提供理论参考。
[Abstract]:Following the disappearance of MH370, Digtal global launched a crowdsourcing platform program to release images of suspected regional satellites to help search, a move that attracted millions of people around the world. As a successful business model, crowdsourcing has attracted more and more attention. Some well-known enterprises, such as P & G, Nike and so on, have brought innovation through crowdsourcing. However, in the development of crowdsourcing mode, some problems also arise, the crowdsourcing platform can not guarantee that every user will continue to participate in the project, In the process of participating in the project, the user has some inefficiency due to the instability between the supplier and the recipient. Therefore, this paper puts forward research problems according to the phenomenon of crowdsourcing mode. In the era of knowledge economy, the core value of knowledge has become increasingly prominent, effective knowledge transfer has become the key to sustainable development and innovation of enterprises, in order to solve the problem of lack of stability of crowdsourcing platform, This paper introduces knowledge transfer as an influential factor to study. At the same time, the Web2.0 environment is introduced as a variable to further explore the influence of knowledge transfer on the stability of crowdsourcing platform. First of all, through a large number of literature reading to determine the content of this study, the Web2.0 environment, knowledge transfer and crowdsourcing platform literature review, summarizing the current research scholars, On the basis of its research, the three variables in this paper are divided into three dimensions, the Web2.0 environment is divided into two dimensions, the richness of information and the accessibility of knowledge, the knowledge transfer is divided into two dimensions: trustworthiness and relational embeddedness. The stability of crowdsourcing platform is divided into three dimensions: bonus amount, number of participants and interest. After the research object was determined, the research model and related hypotheses were put forward, and the research data were obtained by the form of questionnaire, and the reliability and validity of the variables were tested according to the questionnaire data. The test results show that all variables show good consistency, further analysis of the correlation between factors to determine whether there is an impact on the factors in the model, On the basis of determining the correlation of each factor, regression analysis is carried out to determine the influence direction of each factor. According to the adjustment effect of Web2.0 environment, the multivariate hierarchical regression analysis is carried out, and the structural equation model is tested by using AMOS as a whole. Finally, the hypothesis is established. It is concluded that knowledge transfer has a positive effect on the stability of crowdsourcing platform. Web2.0 environment has a regulatory effect on knowledge transfer and crowdsourcing platform stability. In this paper, knowledge transfer is selected as the influencing factor, and the empirical analysis is carried out through the Web2.0 environment as the regulating variable. The results of the study have certain value. According to the research results, the paper puts forward some suggestions to solve the problems, and provides a theoretical reference for the future development of crowdsourcing model.
【学位授予单位】：陕西师范大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09;TP391.41

【参考文献】