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在线用户评论行为时效特征影响因素实证研究
引用本文:张艳丰,李贺,彭丽徽,刘金承.在线用户评论行为时效特征影响因素实证研究[J].现代情报,2019,39(1):60-69,77.
作者姓名:张艳丰  李贺  彭丽徽  刘金承
作者单位:1. 湘潭大学公共管理学院, 湖南 湘潭 411105;2. 吉林大学管理学院, 吉林 长春 130022
基金项目:湖南省教育厅优秀青年项目"在线用户评论行为时间异质性规律研究"。
摘    要:目的/意义]针对我国在线用户评论习惯,探索用户评论行为对评论时间的影响作用因素,对电子商务运营商探究用户评论行为规律及探索潜在用户评论时间偏好具有重要的潜在商业价值。方法/过程]基于TAM模型抽取在线用户评论行为时间特征规律研究的影响因素并构建模型,通过抽取消费者购买行为和评论行为的时间间隔为时间序列,通过多元线性回归模型进行假设验证。结果/结论]通过对在线评论数据的实例验证,本文所构模型能够很好地发现在线用户评论行为对评论时间的影响作用关系,对消费者评论行为的时间特征规律发现和预测具有辅助作用。

关 键 词:TAM模型  用户  在线评论  评论行为  时间特征  影响因素

Empirical Study on Factors Affecting Timeliness of Online User Reviews Behavior
Authors:Zhang Yanfeng  Li He  Peng Lihui  Liu Jincheng
Institution:1. School of Public Management, Xiangtan University, Xiangtan 411105, China;2. School of Management, Jilin University, Changchun 130022, China
Abstract:Objective/Significance] In view of the online user review habits in China,exploring the factors affecting the user comment behavior on the comment time,it has important potential commercial value for e-commerce operators to explore the behavior of user comments and explore the potential user comment time preference.Methods/Process] Based on the TAM model,the influencing factors of the online user comment behavior time characteristic law were extracted and the model was constructed.The time interval was extracted by extracting the time interval between the consumer purchase behavior and the comment behavior,and the hypothesis verification was performed by the multiple linear regression model.Result/conclusion] Through the example verification of the online comment data,the model constructed in this paper could well discover the influence of online user comments on the comment time,and have a supporting effect on the time feature law discovery and prediction of consumer comment behavior.
Keywords:TAM model  user  online reviews  reviews behavior  time characteristics  influnce factor  
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