本文選題：社交網(wǎng)站 + 知識(shí)共享��； 參考：《長(zhǎng)春工業(yè)大學(xué)》2014年碩士論文

【摘要】：社交網(wǎng)站注重人際間的互動(dòng),和人際關(guān)系的建立。社交網(wǎng)站涵蓋知識(shí)共享的主體和客體,它提供了知識(shí)共享所需的技術(shù)環(huán)境。從知識(shí)共享的層面上來(lái)說(shuō),社交網(wǎng)站提供進(jìn)行知識(shí)共享一系列的條件。個(gè)體是社交網(wǎng)站知識(shí)共享的主體,其他因素通過(guò)個(gè)體因素來(lái)影響社交網(wǎng)站知識(shí)共享。本文是從個(gè)體角度出發(fā),分析個(gè)體動(dòng)機(jī),能力和機(jī)會(huì)這三大部分對(duì)社交網(wǎng)站知識(shí)共享的影響。然后把個(gè)體的性格和品質(zhì)拿出來(lái),來(lái)分析個(gè)體本來(lái)的品質(zhì)對(duì)社交網(wǎng)站知識(shí)共享的影響。其中,動(dòng)機(jī)又分為個(gè)人動(dòng)機(jī)和社會(huì)動(dòng)機(jī)。其中,個(gè)人的動(dòng)機(jī)包括獲取和提高對(duì)自己有用知識(shí)的需求和態(tài)度。社會(huì)動(dòng)機(jī)則包括互惠,社會(huì)身份認(rèn)同和人際關(guān)系三個(gè)指標(biāo)。而能力分為使用工具的能力和溝通交流的能力。而個(gè)性又包括學(xué)習(xí)導(dǎo)向和利他主義。通過(guò)這幾個(gè)方面的實(shí)證研究有助于更加清晰的認(rèn)識(shí)社交網(wǎng)站的知識(shí)共享,亦有助于知識(shí)共享體系的建立。通過(guò)從個(gè)體層面對(duì)社交網(wǎng)站知識(shí)共享層面的理論分析和實(shí)證研究,可以為以后知識(shí)共享的實(shí)踐提供良好的理論支持。 本文從知識(shí)共享的總體出發(fā),采用MOA理論模型,整合歸因理論來(lái)構(gòu)建自己的社交網(wǎng)絡(luò)知識(shí)共享影響因素的模型。搜集并借鑒以往的理論,在前人的基礎(chǔ)上,將MOA(動(dòng)機(jī)-機(jī)會(huì)-能力)理論模型進(jìn)行了合理的擴(kuò)充,并將MOA理論中用來(lái)研究社交網(wǎng)站知識(shí)共享原本的這三大變量進(jìn)行了總結(jié)和修正,通過(guò)實(shí)證分析希望使之對(duì)后來(lái)研究社交網(wǎng)站知識(shí)共享的同志能有更多的幫助。 構(gòu)建的模型的變量并不能直接用數(shù)據(jù)來(lái)衡量,通過(guò)網(wǎng)絡(luò)調(diào)查問(wèn)卷的形式收集了289份調(diào)查問(wèn)卷,來(lái)從側(cè)面對(duì)這些變量來(lái)進(jìn)行測(cè)定。在調(diào)查數(shù)據(jù)的基礎(chǔ)之上,使用專(zhuān)業(yè)的工具對(duì)這些數(shù)據(jù)進(jìn)行統(tǒng)計(jì)分析,然后利用SPSS軟件,采用主成分分析法的模型分析方法,對(duì)模型進(jìn)行驗(yàn)證,從而形成有力的實(shí)證。 實(shí)證證明,社交網(wǎng)站的用戶(hù)更加關(guān)注的是在這個(gè)圈子里是否能夠得到認(rèn)同,互惠,人際關(guān)系是否能夠相處融洽,還有是否有積極的在社交網(wǎng)站這個(gè)平臺(tái)上共享知識(shí)的態(tài)度。在前人的基礎(chǔ)上,我們把個(gè)性這一變量加入到基于MOA理論的框架中,最后我們論證的結(jié)果是,個(gè)性在這一框架中所占的權(quán)重為0.13,雖然影響不大,但是我們也不能忽略他們的存在,這說(shuō)明我們?cè)趥�(gè)體層面研究社交網(wǎng)站知識(shí)共享的影響因素的時(shí)候,應(yīng)該重視個(gè)性這一變量,其中研究變量的指標(biāo)時(shí),性格和品質(zhì)這兩個(gè)指標(biāo)所占的指標(biāo)比較平均。對(duì)后來(lái)研究知識(shí)共享的學(xué)者會(huì)有幫助。 本文從個(gè)體層面對(duì)社交網(wǎng)站知識(shí)共享進(jìn)行研究,充實(shí)了知識(shí)的共享的研究范圍,進(jìn)一步促進(jìn)通過(guò)社交網(wǎng)站來(lái)進(jìn)行共享這一領(lǐng)域。研究中采集的數(shù)據(jù)并對(duì)之進(jìn)行分析有助于社交網(wǎng)站更好了解用戶(hù)的行為,從而為社交網(wǎng)站研制出更加適合用戶(hù)的產(chǎn)品提供了支持。
[Abstract]:Social networking sites focus on interpersonal interaction, and the establishment of interpersonal relationships.Social networking site covers the subject and object of knowledge sharing. It provides the technical environment for knowledge sharing.From the level of knowledge sharing, social networking sites provide a series of conditions for knowledge sharing.The individual is the main body of knowledge sharing on social networking sites, and other factors affect the knowledge sharing of social networks through individual factors.This paper analyzes the influence of individual motivation, ability and opportunity on the knowledge sharing of social networks from the perspective of individuals.Then the personality and quality of the individual are taken out to analyze the impact of the individual's original quality on knowledge sharing on social networking sites.Among them, motivation is divided into personal motivation and social motivation.Among them, individual motivation includes acquiring and improving the need and attitude towards one's own useful knowledge.Social motivation includes reciprocity, social identity and interpersonal relationships.Ability is divided into the ability to use tools and the ability to communicate.Personality, in turn, includes learning orientation and altruism.The empirical research on these aspects is helpful to a clearer understanding of the knowledge sharing of social networking sites and to the establishment of a knowledge sharing system.Through the theoretical analysis and empirical research on the knowledge sharing level of social networking sites from the individual level, it can provide good theoretical support for the practice of knowledge sharing in the future.Based on the general knowledge sharing, this paper adopts MOA theory model and integrates attribution theory to construct its own model of influencing factors of knowledge sharing in social networks.Based on the previous theories, the Moa (motivation-opportunity-ability) model is expanded reasonably.This paper summarizes and modifies the three variables used in the MOA theory to study the knowledge sharing of social networking sites, hoping to make it more helpful to the comrades who later study the knowledge sharing of social networking sites.The variables of the model can not be directly measured by data. 289 questionnaires were collected in the form of online questionnaires to measure these variables from the side.On the basis of the survey data, we use professional tools to make statistical analysis of these data, and then use SPSS software, using the principal component analysis method to verify the model, so as to form a strong demonstration.Empirical evidence shows that users of social networking sites are more concerned about whether they can be recognized, mutually beneficial, and whether they can get along well with each other, and whether they have a positive attitude towards sharing knowledge on the platform of social networking sites.On the basis of our predecessors, we added personality as a variable to the framework based on MOA theory. Finally, the result of our argument is that the weight of personality in this framework is 0.13, although the effect is not significant.But we can't ignore their existence, which means that we should pay attention to personality when we study the factors that affect knowledge sharing on social networking sites at the individual level, and when we study the indicators of variables,The two indexes of character and quality account for average.It will be helpful to scholars who later study knowledge sharing.This paper studies the knowledge sharing of social networking sites from the individual level, enriches the research scope of knowledge sharing, and further promotes the sharing of knowledge through social networking sites.The data collected in the study and analyzed will help social networking sites to better understand the behavior of users, thus providing support for social networking sites to develop more user-friendly products.
【學(xué)位授予單位】：長(zhǎng)春工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TP393.092

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