發(fā)布時間：2018-06-06 07:37

  本文選題：Web2.0 + 知識轉(zhuǎn)移�。� 參考：《陜西師范大學(xué)》2014年碩士論文

【摘要】：在MH370航班失蹤后,美國"Digtal global"衛(wèi)星公司啟動眾包平臺項目,公布疑似區(qū)域衛(wèi)星圖像幫助搜尋,這一舉動吸引全球上百萬人參與到搜救工作。眾包模式作為目前成功的商業(yè)模式已經(jīng)受到越來越多的關(guān)注,一些知名企業(yè),如寶潔、耐克等均通過眾包為企業(yè)帶來了創(chuàng)新。但是,在眾包模式的發(fā)展中,一些問題也隨之出現(xiàn),眾包平臺無法保證每一個用戶都會持續(xù)的參與項目,而且用戶在參與項目過程中由于不穩(wěn)定性發(fā)包方與收包方存在一定的效率低下。因此,本文根據(jù)眾包模式目前存在的這一現(xiàn)象提出研究問題。 在如今的知識經(jīng)濟時代,知識的核心價值也日益凸顯,有效的知識轉(zhuǎn)移成為了企業(yè)持續(xù)發(fā)展和創(chuàng)新的關(guān)鍵,為了解決眾包平臺穩(wěn)定性欠缺這一問題,本文引入了知識轉(zhuǎn)移作為影響因素進行研究。同時引入Web2.0環(huán)境作為調(diào)節(jié)變量對知識轉(zhuǎn)移影響眾包平臺穩(wěn)定性的研究進行更深一步的探究。 研究首先通過大量的文獻閱讀確定本文的研究內(nèi)容,針對Web2.0環(huán)境、知識轉(zhuǎn)移與眾包平臺文獻進行綜述,總結(jié)目前學(xué)者們的研究,在其研究基礎(chǔ)上分別對于本文的三個變量進行維度劃分,將Web2.0環(huán)境劃分為信息的豐富性與知識的可及性兩個維度；知識轉(zhuǎn)移劃分為可信賴感與關(guān)系嵌入性兩個維度；眾包平臺穩(wěn)定性劃分為獎金數(shù)量、參與人數(shù)與興趣愛好三個維度。確定了研究對象后提出本文的研究模型及相關(guān)假設(shè),利用發(fā)放問卷的形式獲得研究數(shù)據(jù)；根據(jù)問卷數(shù)據(jù)對研究變量進行了信度與效度檢驗,檢驗結(jié)果證明各變量均顯示出較好的一致性,進一步分析因子之間的相關(guān)關(guān)系確定模型中因子的是否存在影響關(guān)系,在確定各因子具有相關(guān)性的基礎(chǔ)上對因子進行回歸分析確定因子間的影響方向。針對Web2.0環(huán)境的調(diào)節(jié)效應(yīng)進行調(diào)節(jié)變量的多元層次回歸分析,對于模型整體利用AMOS進行結(jié)構(gòu)方程模型進行檢驗,最后確定假設(shè)成立,得出本文結(jié)論：知識轉(zhuǎn)移對眾包平臺穩(wěn)定性具有正向影響；Web2.0環(huán)境對知識轉(zhuǎn)移和眾包平臺穩(wěn)定性具有調(diào)節(jié)效應(yīng)。 本論文選擇了知識轉(zhuǎn)移作為影響因素,并通過Web2.0環(huán)境作為調(diào)節(jié)變量進行實證分析,研究結(jié)果具有一定的價值。根據(jù)研究結(jié)果提出針對性的問題解決建議,為眾包模式的未來發(fā)展提供理論參考。
[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.
【學(xué)位授予單位】：陜西師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.09;TP391.41

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