移動(dòng)瀏覽器用戶黏性影響因素研究
[Abstract]:The 33rd China Internet Network Information Center (CNNIC) Statistical Report on Internet Development in China shows that
By the end of December 2013, the number of mobile Internet users in China reached 500 million, of which 360 million were mobile browsers.
The penetration rate among mobile Internet users is about 70%.'The development of mobile Internet has greatly affected future people.
Lifestyle and business direction, mobile browsers as an important mobile Internet access port to a large extent can
Mobile browsers will become the future competition of the big Internet companies as they affect the extent to which application operators gain user value
An important direction. Faced with the surviving rules of the "left over" mobile Internet, how each mobile browser passes through the brand or
It's important to get users through other marketing activities, but it's also in the pipeline to make users continue to use them and improve their stickiness.
This paper analyzes the characteristics of mobile browsers from the current situation of mobile browsers, and combines with the classical user persistent use of rows.
For the theoretical model and scale, the user viscosity scale and theoretical model with mobile browser as the main body were established, and SPSS data were used.
Analytical software analyzes the user data of the participants and digs out the factors affecting the user stickiness of mobile browsers.
In particular, this article is based on
In view of the current situation, development trend of mobile browser and the related user persistence model, this paper constructs the mobile browser user sticky
This model is based on the user's perceived usefulness of mobile browsers, perceived ease of use, and user experience.
System quality, user expectation validation, satisfaction and replacement cost are independent variables, and user stickiness is the objective variable.
On the basis of validating and analyzing the factors that affect the user's viscosity, the research conclusion is drawn, and then the conclusion is applied to guide the research.
Practice. The results show that the mobile browser user stickiness and user perception of mobile browser usefulness, perceived ease of use, so that
User experience, system quality, user expectation validation, user satisfaction and replacement cost were significantly correlated.
In terms of influencing factors of viscosity, customer satisfaction is the strongest, followed by expected confirmation and replacement cost.
During the verification process, all the assumptions based on the model are validated: user perception of mobile browsers
Usefulness is positively correlated with expected validation, and user perceived ease of use is positively correlated with expected validation.
The system quality of mobile browsers has a positive impact on the expected validation of users; the user's experience of using mobile browsers has a positive impact on it.
Expected validation; Expected validation of mobile browser users is positively correlated with user satisfaction; User satisfaction of mobile browser is positively correlated with user viscosity; Conversion cost of mobile browser users positively affects user viscosity.
In the regression analysis of influencing factors of mobile browser users'stickiness, five of the seven independent variables were retained in the equation, and the two independent variables of perceived usefulness and perceived ease of use were excluded from the equation. Individuals are different, so if the user can not accurately realize what specific effect the mobile browser has on himself, it may produce a fuzzy judgment of the problem, thus affecting the accuracy of the final results; there is also an important factor is perceived usefulness and perceived ease of use as the impact of mobile browser user stickiness. The factor of sex is based on the intermediary variable of user expectation validation. Users'expectation validation is also a subjective cognition of users. It is based on users' expectations before and after use.
After analyzing the influencing factors of mobile browser's user stickiness, based on the research and hypothesis of user stickiness related factors model, and on the basis of summarizing the regression model, this paper puts forward the following suggestions on the development direction of mobile browser itself: on the one hand, attention should be paid to the segmentation of mobile browser's users and functions; on the other hand, attention should be paid to the segmentation We should build an ecosystem based on the brand of mobile browser, and finally optimize the system of mobile browser itself.
【學(xué)位授予單位】:西南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TP393.092
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 劉曉麗;宋朝霞;;SNS網(wǎng)站與搜索引擎融合的可能性和策略探討[J];電子商務(wù);2011年09期
2 ;移動(dòng)互聯(lián)網(wǎng)下一站:瀏覽器或取代應(yīng)用程序[J];硅谷;2010年19期
3 劉立豐;;網(wǎng)絡(luò)購(gòu)物體驗(yàn)對(duì)網(wǎng)購(gòu)用戶忠誠(chéng)影響的實(shí)證研究[J];國(guó)際新聞界;2012年05期
4 付麗麗;呂本富;裴瑞敏;;關(guān)系型虛擬社區(qū)用戶參與機(jī)制研究[J];經(jīng)濟(jì)管理;2009年05期
5 趙冰;電子服務(wù)領(lǐng)域如何達(dá)到消費(fèi)者滿意[J];經(jīng)濟(jì)論壇;2005年05期
6 岳文鋒;論網(wǎng)絡(luò)信息環(huán)境下的顧客忠誠(chéng)管理[J];科技與管理;2003年03期
7 包峰;;移動(dòng)瀏覽器——Web應(yīng)用平臺(tái)[J];科技創(chuàng)業(yè);2011年06期
8 許博;邵兵家;陳璐;;網(wǎng)絡(luò)社區(qū)用戶使用意向影響因素實(shí)證研究[J];情報(bào)雜志;2009年05期
9 高麗;網(wǎng)絡(luò)時(shí)代的顧客忠誠(chéng)[J];企業(yè)改革與管理;2001年04期
10 唐莉斯;鄧勝利;;SNS用戶忠誠(chéng)行為影響因素的實(shí)證研究[J];圖書情報(bào)知識(shí);2012年01期
,本文編號(hào):2233498
本文鏈接:http://sikaile.net/guanlilunwen/ydhl/2233498.html