| 高校图书馆微信服务用户契合影响因素的识别分析 |
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| 引用本文： | 童万菊,沈军威.高校图书馆微信服务用户契合影响因素的识别分析[J].图书情报工作,2019,63(14):74-82. |
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| 作者姓名： | 童万菊 沈军威 |
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| 作者单位： | 1. 南京农业大学信息科学技术学院信息管理系 南京 210095;
2. 南京农业大学经济管理学院(农林经济管理)博士后流动站 南京 210095 |
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| 基金项目： | 本文系国家社会科学基金青年项目"图书馆移动微服务用户契合的实现机制与测评模型研究"（项目编号：17CTQ012）和南京农业大学中央高校基本业务费项目"图书馆微服务的用户体验关键属性识别及测评研究"（项目编号：SKYZ2017005）研究成果之一。 |
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| 摘 要： | 目的/意义]引入关注用户互动体验和情感投入的用户契合理论,为提升图书馆微信服务水平和用户活跃度提供新的路径。方法/过程]基于LDA对知乎社区中有关微信用户参与的回答文本进行分析,提取用户契合的特征词,并结合用户访谈对高校图书馆微信服务用户契合的影响因素进行识别,进而获取"双一流"高校图书馆微信用户的调研数据进行实证分析。结果/结论]研究得出,高校图书馆微信服务用户契合的影响因素包括平台内容质量、平台系统质量、互动参与意识和用户感知价值,其中用户感知价值的影响最大,而平台系统质量并不对用户契合产生直接影响。
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| 关 键 词： | 图书馆微信服务 用户契合 影响因素识别 回归分析 |
| 收稿时间： | 2018-11-05 |
A Study on Identifying and Analyzing the Influence Factors of User Engagement in University Libraries' WeChat Services |
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| Tong Wanju,Shen Junwei.A Study on Identifying and Analyzing the Influence Factors of User Engagement in University Libraries' WeChat Services[J].Library and Information Service,2019,63(14):74-82. |
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| Authors: | Tong Wanju Shen Junwei |
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| Institution: | 1. College of Information Science and Technology, Nanjing Agriculture University, Nanjing 210095;
2. The Postdoctoral Station of Agro-forestry Economy and Management, Nanjing Agriculture University, Nanjing 210095 |
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| Abstract: | Purpose/significance] User Engagement, which emphasizes interaction experience and emotional investment, can provide a new path for improving the service level and user activation of university libraries' WeChat services.Method/process] Based on LDA model, this paper extracted the feature words of user engagement from the relevant answers. Then the influencing factors were identified through user interviews. And the multiple regression analysis was conducted on the data collected from Double-First Class universities.Result/conclusion] The results showed that the influence factors of user engagement in university libraries' WeChat services are platform content quality, platform system quality, interactive participation consciousness and user perceived value. Among them, user perceived value has greater influence. Platform system quality does not have a direct impact on user engagement. |
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| Keywords: | library WeChat service user engagement identifying influencing factors multiple regression analysis |
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