人类对大数据的多方位运用，使得计算机算法风起云涌，网络普及率的增加、 覆盖面的扩大，以及全民文化水平的不断提高、逐渐进步，聚合类新闻客户端应 时而生，它包含多个领域，所涵盖的顾客类型较多，市场较为广阔，但学术上对 于聚合类新闻客户端的研究较少。聚合类新闻客户端与人们的生活习惯有着千丝 万缕的联系我们每个时刻都想获得一定的知识丰富思维。聚合类新闻客户端就是 整合传统媒体类的新闻内容，并结合自媒体人创作的内容，灵活运用交互技术和 推荐算法等计算机技术向顾客推荐个性化，符合“顾客标签定义”的内容。如今， 聚合类新闻客户端平台企业主要是从广告收入中获得企业利润，提升顾客忠诚度 可增加顾客在客户端平台的逗留时间及阅读量，增加广告浏览量，从而增加企业 利润。加强顾客忠诚度的建设，可使企业在众多的聚合类新闻客户端里脱颖而出。 本文的研究对象是聚合类新闻客户端，自变量是顾客感知价值，中介变量是 顾客满意度，因变量是顾客忠诚度，构成三者关系，并采用“三分法”将顾客感 知价值划分为情感性价值、功能性价值、社会性价值三要素。本文采用文献综述 法梳理了各个要素的定义，再通过线上的调查访谈和量表确定了问卷调查表，通 过线上发放问卷 432 份数，提取出有效问卷 221 份，再根据问卷调查得到的数据 进行相关分析、回归分析、中介效度验证分析，得出结论：顾客感知价值的各个 要素正向影响顾客忠诚度，顾客满意度正向作用于顾客忠诚度，且顾客满意度作 为中介因素间接影响顾客感知价值对顾客忠诚度。 最后提出建议包括：提高客户端文章内容质量；新闻内容形式呈现多样化； 引入意见领袖、增强社会知名度；丰富奖励机制、刺激顾客持续使用；严格把控 顾客体验感，维护顾客关系，提高顾客满意度，以期顾客能在平台上产生粘性， 提高文章阅读量，提高顾客广告浏览量，以获得广告产生的利润。本文在客户端 新闻的质量、顾客粘度的提高、技术类层面的增强都逐一给出建议，以质量为重 点，技术为辅助的聚合类新闻客户端，以此提高顾客体验，增加顾客忠诚度，提 高企业广告主营收入，增加企业利润。 关键词：聚合类新闻，客户端，感知价值，满意度，忠诚度Abstract The multi-faceted use of big data by human beings makes the computer algorithm surging, the increase of network popularity, the expansion of coverage, and the continuous improvement and gradual progress of the people's cultural level. The aggregation news client comes from time to time, which includes many fields, covers many types of users, and has a broad market. However, the academic research on the aggregation news client Less. Aggregation news client and people's living habits are inextricably linked. We want to get a certain amount of knowledge and rich thinking every moment. The aggregation news client is to integrate the traditional media news content, combine the content created by self-Media people, flexibly use interactive technology and recommendation algorithm and other computer technology to recommend personalized content to users, which conforms to the "user label definition". Nowadays, aggregative news client platform enterprises mainly obtain enterprise profits from advertising revenue. Improving user loyalty can increase users' stay time and reading volume in the client platform, increase advertising browsing volume, and thus increase enterprise profits. Strengthening the construction of customer loyalty can make the enterprise superior in many aggregation news clients. The research object of this paper is the aggregation news client, the independent variable is customer perceived value, the intermediary variable is customer satisfaction, the dependent variable is customer loyalty, which constitutes the relationship among the three, and the user perceived value is divided into three elements of emotional value, functional value and social value by the "three-point method". This paper uses literature review method to sort out the definition of each element, and then puts forward the hypothesis through the online survey interview and questionnaire, and determines the questionnaire. Through the online distribution of 432 questionnaires, 221 valid questionnaires are extracted, and then according to the data obtained from the questionnaire, correlation analysis, regression analysis, intermediary validity verification analysis are carried out, and the conclusion is: customer perceived value Each factor has a positive effect on customer loyalty,customer satisfaction has a positive effect on customer loyalty, and customer satisfaction as an intermediary factor indirectly affects customer perceived value on customer loyalty. At last, the author suggests that we should improve the content quality of client articles, diversify the forms of news content, introduce opinion leaders, enhance social popularity, enrich incentive mechanism, stimulate users to use continuously, strictly control user experience, maintain user relationship, and improve customer satisfaction, so that users can generate stickiness on the platform, improve the reading amount of articles, and improve the user's advertising browsing View volume to get the profit from advertisement. In this paper, the quality of client news, the improvement of customer viscosity, and the enhancement of technology level are all given suggestions one by one, focusing on the quality, technology assisted aggregation news client, in order to improve user experience, increase user loyalty, improve the main revenue of enterprise advertising, and increase enterprise profits. Keywords: aggregation, news, client, perceived value, satisfaction, loyalty目 录 1 绪论............................................................................................................................1 1.1 选题背景与研究性质......................................................................................... 1 1.2 研究目的与意义................................................................................................. 2 1.3 国内外研究现状................................................................................................. 2 1.3.1 新闻客户端的发展和研究现状..................................................................2 1.3.2 顾客忠诚度的定义......................................................................................5 1.3.3 顾客忠诚度的驱动因素研究......................................................................8 1.3.4 顾客忠诚度的测量.....................................................................................9 1.3.5 顾客感知价值与顾客忠诚的关系............................................................10 1.3.6 顾客满意度的内涵....................................................................................10 1.3.7 顾客满意度与顾客感知价值的关系........................................................11 1.4 研究内容与科学问题....................................................................................... 11 1.5 论文创新点....................................................................................................... 13 2 相关研究理论和方法..............................................................................................14 2.1 相关研究理论.................................................................................................. 14 2.1.1 顾客感知价值相关理论...........................................................................14 2.1.2 顾客忠诚度相关理论...............................................................................14 2.1.3 顾客满意度相关理论...............................................................................14 2.4 相关研究方法.................................................................................................. 15 2.4.1 回归分析...................................................................................................15 2.4.2 中介效应方法...........................................................................................15 3 模型构建与问卷设计...............................................................................................17 3.1 深度访谈........................................................................................................... 17 3.1.1 深度访谈的对象.......................................................................................17 3.1.2 深度访谈的处理结果............