农业图书情报学报 ›› 2022, Vol. 34 ›› Issue (10): 70-81.doi: 10.13998/j.cnki.issn1002-1248.22-0634

• 研究论文 • 上一篇    下一篇

用户视角下新浪微博信息服务质量影响因素研究——基于扎根理论的探索性分析

吕鲲, 陈瑶瑶, 项旻昊   

  1. 宁波大学 商学院,宁波 315211
  • 收稿日期:2022-08-31 出版日期:2022-10-05 发布日期:2022-11-28
  • 作者简介:吕鲲(1988- ),男,博士,讲师,研究方向为情报管理。陈瑶瑶(2000- ),女,本科,研究方向为工商管理。项旻昊(2001- ),男,本科,研究方向为信息资源管理
  • 基金资助:
    浙江省社会科学界联合会研究课题项目“浙江省突发公共卫生事件信息协同系统构建及管理研究”(2022N25)

Influencing Factors of Sina Weibo Information Service Quality from the Perspective of Users: Exploratory Analysis Based on Grounded Theory

LYU Kun, CHEN Yaoyao, XIANG Minhao   

  1. Business School, Ningbo University, Ningbo 315211
  • Received:2022-08-31 Online:2022-10-05 Published:2022-11-28

摘要: [目的/意义]新浪微博作为互联网时代的重要社交媒体之一,用户对其信息服务发展质量起关键作用,从用户视角分析新浪微博信息服务质量影响因素,有助于提升新浪微博信息服务水平,提高信息服务效率,促进新浪微博更加人性化发展。[方法/过程]选择扎根理论作为研究方法,通过数据资料收集、三级编码、饱和度检验等过程,构建新浪微博信息服务质量影响因素模型,归纳出用户基础、用户感受、用户需求3个因素及其对信息服务质量的作用,并运用统计方法进行实证分析。[结果/结论]研究结论发现:用户基础、用户感受、用户需求对新浪微博信息服务质量产生显著正向影响,其中用户基础属于保障性因素,用户感受属于关键性因素,用户需求属于驱动性因素。

关键词: 新浪微博, 信息服务质量, 用户视角, 扎根理论, 社交媒体

Abstract: [Purpose/Significance] Sina Weibo is one of the important social media in the Internet era, and its users play a key role in the development quality of its information services. Analyzing the factors that affect the quality of Sina Weibo information services from the perspective of users will help to improve the information service level, improve the efficiency of information service, and promote the more humanized development of Sina Weibo. [Method/Process] The grounded theory was selected as the research method. Through the process of data collection, three-level coding, saturation test, etc., a model of factors affecting the information service quality of Sina Weibo was constructed. Three factors, namely user base, user experience and user demand, were summarized and their effects on the information service quality were analyzed empirically using statistical methods. The rationality of the model was empirically analyzed by multilevel regression analysis. [Results/Conclusions] The research conclusion shows that user base, user experience and user demand have significant positive effects on Sina Weibo information service quality, among which user base is a guarantee factor, user perception is a key factor, and user demand is a driving factor. To be specific, user base includes user nature, spread scope and interactive experience. A large number of users from a wide range of sources constitute a good online community ecology, which is the fundamental guarantee for the development of Sina Weibo. At the same time, the quality of information service determines the user's experience. Therefore, Sina Weibo should continuously improve the quality of information service to ensure its long-term use. User experience contains user satisfaction and user preference. Specifically, it is reflected in the experience generated by users in the process of using Sina Weibo. Sina Weibo adjusts its information service mode according to users' feelings, so as to improve the quality of information service. Therefore, user experience has a significant positive impact on Sina Weibo information service quality. User demand comprises information authority, information objectivity, information effectiveness, information richness. Specifically, Weibo users tend to pay more attention to public information and have a preliminary judgment on the authority of information according to the identity of the publisher. At the same time, most users hope that the information they publish can be spread widely, which forces the information service quality of Sina Weibo to meet the relevant needs of users. Therefore, user demand has a significant positive impact on Sina Weibo information service quality.

Key words: Sina Weibo, information service quality, user perspective, grounded theory, social media

中图分类号: 

  • G203

引用本文

吕鲲, 陈瑶瑶, 项旻昊. 用户视角下新浪微博信息服务质量影响因素研究——基于扎根理论的探索性分析[J]. 农业图书情报学报, 2022, 34(10): 70-81.

LYU Kun, CHEN Yaoyao, XIANG Minhao. Influencing Factors of Sina Weibo Information Service Quality from the Perspective of Users: Exploratory Analysis Based on Grounded Theory[J]. Journal of Library and Information Science in Agriculture, 2022, 34(10): 70-81.