| 社会化媒体用户的情感体验与满意度关系——以微博为例 |
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| 引用本文： | 刘鲁川,孙凯.社会化媒体用户的情感体验与满意度关系——以微博为例[J].中国图书馆学报,2015,41(1):76-91. |
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| 作者姓名： | 刘鲁川 孙凯 |
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| 作者单位： | 1. 山东财经大学管理科学与工程学院信息管理与信息系统系
2. 山东财经大学管理科学与工程学院 |
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| 基金项目： | 本文系国家自然科学基金“社会化阅读服务用户持续使用的行为机理研究”(编号:71373144)以及教育部人文社会科学研究规划基金“移动阅读系统用户持续使用的理论模型:基于情感视角的实证研究”(编号:12YJA860010)的研究成果之一 |
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| 摘 要： | 微博等社会媒体正面临用户活跃程度下降,老用户停止使用的困境。以往的信息系统持续使用理论忽略了用户情感的重要作用,因而对微博等信息系统用户持续使用行为的解释力不足。基于此,本文旨在探究微博用户情感体验与用户满意度之间的关系。研究分两个阶段进行:第一阶段采用心理学中的情感测量方法,分析微博用户在使用过程中的情感体验;第二阶段测量在前一阶段中得到的各种情感的强度,通过回归分析验证用户情感与用户满意度之间的关系。研究发现了用户使用微博中体验到的、出现频率最高的16种情感,其中9种正向情感和7种负向情感,正向情感与用户满意度之间存在显著的正向影响关系,微博用户使用经验对正向情感与用户满意度之间的关系有正向调节作用。这对全面理解微博用户的行为规律具有理论意义,对微博平台运营以及微博营销等应用有实际的指导意义。
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| 关 键 词： | 社会化媒体 情感体验 情感分析 用户满意度 微博 |
Analysis of the Relationship between Microblogging Users' Affectionsand Users' Satisfaction |
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| Liu Luchuan and Sun Kai.Analysis of the Relationship between Microblogging Users' Affectionsand Users' Satisfaction[J].Journal of Library Science In China,2015,41(1):76-91. |
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| Authors: | Liu Luchuan and Sun Kai |
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| Institution: | Liu Luchuan;Sun Kai; |
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| Abstract: | Micro-blogging companies are facing troubles that user activity is decreasing and older users stop using it. Expectation-Confirmation Model of IS Continuance (ECM-ISC) neglects the important influence of users' affections and does not have enough capacity to explain Micro-blogging users' continuance usage behavior. Currently, there are two deficiencies in researches of users' affections in the IS field.Firstly, limited affections are studied. Secondly, there is no researcher who explores micro-blogging users' emotional experience and the relationship between affection and satisfaction. This paper tries to answer the following questions:what affection do users experience while they are using micro-blogging? Do these affections have effect on satisfaction? What is the effect? Two steps of research are adopted:in the first step, we use self-reported affection inventory to measure people's affections. We ask participants to recall and write down their most frequently experienced affections in the last month while they were using micro-blogging. All questionnaires are sent through Internet and 350 validated ones are finally collected. Through synonym analysis, we ultimately get 25 different affection words. In the second step, we use Westbrook's method to measure frequency of the 16 affections that are reported by more than 1% subjects in step one. 7 level Liker scale is used to measure the frequency of affections that are experienced by every subject in the last week. Meanwhile, satisfaction questionnaire is used to measure users' satisfaction. All questionnaires are sent through Internet and finally 155 validated ones are collected. We use satisfaction as dependent variable, affections as independent variables to build regression model and gender, age and experience of usage as moderator between affections and satisfaction. Results of step one reveal that:1) happiness, interest are the most experienced affections, separately 41.7% and 11.1% users experience these affections while they are using micro-blogging; 2) people with different gender and education do not experience different affections; 3) people with different age have significantly different affection experience, especially about sadness, angry, interest and happiness. In step two, we in detail analyze the relationship between 16 affections and satisfaction. Among 9 positive affections are happiness, interest, excitement, fullness, ease, novelty, surprise, likeness and freedom. Among 7 negative affections are restlessness, boredom, frustration, anger, sadness, anxiety and puzzlement. The minimal mean value of all positive affections is more than 4.8 (7 level scale) and the maximal mean value of negative affections is less than 3.1 (7 level scale). This means that usage of micro-blogging is a positive affection-driven process. In addition, mean value of users' satisfaction is 3.82 (5 level scale, SD=0.514), which means that users have above average satisfaction. Results of regression analysis reveal that:1) Positive affections have significant positive correlation with users' satisfaction. Specially, surprise has the highest correlation with satisfaction. Extant researches more focus on the function of happiness, excitement and interest on IS users' usage behavior. However, in this paper we find surprise is the main factor that affects users' satisfaction and behavior.2) Negative affections do not have significant negative correlation with users' satisfaction. By further interview, negative contents of micro-blogging are the reason why people experience negative feelings, which is not related with micro-blogging platform. Only related with service providers do negative affections have influence on users' behavior.3) Experience of usage moderate the relationship between positive affections and users' satisfaction. Along with increasing of experience, the relationship between positive affections and satisfaction is gradually enhanced. This paper makes up the shortage that ECM-ISC just analyzes users' satisfaction and behavior from the perspective of rational cognition and neglects the influence of users' affection on satisfaction. This also will contribute to better understanding of micro-blogging users' behavior and to practical guidance for operation and marketing of micro-blogging platform. 1 fig.10 tabs.52 refs. |
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| Keywords: | Social media Affections Affection analysis User satisfaction Microblog |
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