O2O電子商務(wù)顧客忠誠(chéng)形成機(jī)理研究
[Abstract]:The development of mobile Internet has brought about the development of local life service websites. Previous models such as B2CU B2B and C2C, to the emerging O2O e-commerce, O2O e-commerce rapid development, it is very important to study its model of customer loyalty. Because it is in the early stage of development, the formation process of customer loyalty in 020 E-commerce is not well understood, which leads to the failure of the enterprises to maintain customers and retain the core customers in the layout of O2O. In this paper, the formation mechanism of customer loyalty in O2O e-commerce is analyzed and demonstrated. The business and O2O platform are regarded as a whole, and the dynamic forming process of customer loyalty between consumers and sellers is studied. The 020 business platform can retain core customers, enhance competitive advantage, and help O 2O enterprises to achieve precision marketing. The research of this paper is divided into three parts. The first part is through the traditional customer loyalty and e-commerce customer loyalty literature review, research and analysis of the characteristics of O2O e-commerce model, finally determine the factors affecting customer loyalty, on the basis of relevant literature analysis. Customer perceived value, conversion cost, customer trust and customer satisfaction are the driving factors. At the same time, the antecedent factors that influence the driving factors are analyzed. The results show that the antecedents are the quality of service, website design, price advantage, offline experience, security and after-sale guarantee, and the related research hypotheses are put forward. The second part is the empirical design and data analysis stage, mainly through the questionnaire to obtain the original data and pre-test analysis to form the final questionnaire, select the appropriate form of questionnaire distribution and implement the distribution. Finally, the questionnaire is collected and tested, and the statistical function of Excel is used to describe the data. The reliability analysis, validity analysis and regression analysis of SPSS21.0 are used to verify and modify the model. The third part is the conclusion and suggestion of the research. The model after data analysis is summarized, and the strategies to improve customer loyalty and the problems to be solved are put forward. The conclusions are as follows: 1 in the analysis and argumentation of customer loyalty relationship between driving variables (customer perceived value, customer satisfaction, customer trust, switching cost), it shows that customer trust contributes most to attitude loyalty. In the analysis of the four driving variables and customer behavior loyalty, it is found that the four driving variables have positive effects on customer behavior loyalty, among which customer perceived value has the weakest effect on behavior loyalty. Customer satisfaction has the strongest effect on behavior loyalty. 2 in the process of analyzing the driving variables of pre-dependent variables (quality of service, website design, price advantage, offline experience, security and after-sales guarantee), Except that the influence of website design and offline experience on customer perceived value is not significant, other research hypotheses are verified.
【學(xué)位授予單位】:北京交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:F274;F724.6
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 張?chǎng)?;網(wǎng)絡(luò)營(yíng)銷下顧客忠誠(chéng)度影響因素分析[J];合作經(jīng)濟(jì)與科技;2016年24期
2 劉文;;基于顧客忠誠(chéng)的營(yíng)銷管理——以打車軟件為例[J];經(jīng)營(yíng)管理者;2016年31期
3 劉麗;張寧;;顧客感知價(jià)值、滿意度與忠誠(chéng)度的關(guān)系研究——電子商務(wù)環(huán)境下的實(shí)證分析[J];信息資源管理學(xué)報(bào);2016年03期
4 陳湘青;;O2O電子商務(wù)顧客滿意度分析[J];商業(yè)經(jīng)濟(jì)研究;2016年14期
5 施蕾;;網(wǎng)絡(luò)購(gòu)物沖擊下實(shí)體店體驗(yàn)性與顧客忠誠(chéng)度研究——以中高收入顧客為例[J];深圳職業(yè)技術(shù)學(xué)院學(xué)報(bào);2016年04期
6 林萍;;微信電子商務(wù)顧客忠誠(chéng)度影響因素分析[J];現(xiàn)代商業(yè);2016年18期
7 胡歡;;顧客滿意與顧客忠誠(chéng)關(guān)系探討綜述——以小米手機(jī)為例[J];商業(yè)經(jīng)濟(jì);2016年06期
8 鄧必年;;C2C網(wǎng)店的服務(wù)質(zhì)量對(duì)顧客忠誠(chéng)度的影響實(shí)證分析[J];價(jià)值工程;2016年17期
9 李正光;;“互聯(lián)網(wǎng)+”時(shí)代酒店提升顧客忠誠(chéng)度的策略研究[J];包頭職業(yè)技術(shù)學(xué)院學(xué)報(bào);2016年02期
10 劉健;唐亞男;邵伶芳;;網(wǎng)絡(luò)顧客忠誠(chéng)度量表的開(kāi)發(fā)與檢驗(yàn)——基于天貓零售超市的實(shí)證研究[J];商場(chǎng)現(xiàn)代化;2016年13期
相關(guān)碩士學(xué)位論文 前10條
1 王欽艷;傳統(tǒng)零售商O2O商業(yè)模式的研究[D];山東財(cái)經(jīng)大學(xué);2016年
2 周鵬;購(gòu)物網(wǎng)站依戀、關(guān)系質(zhì)量和顧客忠誠(chéng)度關(guān)系實(shí)證研究[D];安徽大學(xué);2016年
3 江江;O2O模式下顧客體驗(yàn)對(duì)顧客忠誠(chéng)的影響研究[D];安徽師范大學(xué);2016年
4 毛應(yīng);O2O體驗(yàn)店形象對(duì)品牌忠誠(chéng)的影響研究[D];廣東財(cái)經(jīng)大學(xué);2016年
5 劉婧;提升O2O生活服務(wù)平臺(tái)用戶忠誠(chéng)度的策略研究[D];上海工程技術(shù)大學(xué);2016年
6 李浩;基于O2O服裝品牌的個(gè)性化服務(wù)對(duì)顧客忠誠(chéng)度的影響研究[D];浙江理工大學(xué);2016年
7 呂超;基于O2O模式的電子商務(wù)研究[D];華東理工大學(xué);2016年
8 劉曉紅;中國(guó)電子商務(wù)O2O運(yùn)營(yíng)模式研究[D];吉林大學(xué);2015年
9 張煒一;O2O電子商務(wù)模式下中國(guó)大眾用戶接受行為影響因素探究[D];北京郵電大學(xué);2013年
10 何樂(lè)飛;基于020的團(tuán)購(gòu)網(wǎng)站商業(yè)模式研究[D];浙江工業(yè)大學(xué);2012年
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