An analysis of users' continuous use intention of academic library social media using the WeChat public platform as an example

被引:4
作者
Meng, Yuan [1 ]
Lin, Hongwei [2 ]
Gong, Weijing [3 ]
Guan, Rui [1 ]
Dong, Li [1 ]
机构
[1] Hubei Univ Med, Lib, Shiyan, Peoples R China
[2] Hubei Univ Med, Sch Publ Hlth & Management, Shiyan, Peoples R China
[3] Chengdu Univ Technol, Lib, Chengdu, Peoples R China
关键词
Academic libraries; Social media; ECM-ISC model; D&M ISS model; INFORMATION-SYSTEMS SUCCESS; MCLEAN MODEL; PLS-SEM; ACCEPTANCE; DELONE;
D O I
10.1108/EL-05-2023-0115
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Purpose - This study aims to discover the factors which influence user satisfaction levels and their continuous use intention (CUI) of academic library social media, and then considers how to promote and improve further work on library social media to reduce user churn and increase user satisfaction.Design/methodology/approach - An updated DeLone and McLean information systems success (D&M ISS) model and the expectation confirmation model for information systems continuance (ECM-ISC) with new variables of emotions are used to examine the factors which influence user satisfaction levels and CUI of academic library social media through 445 questionnaires. Partial least squares structural equation modelling was used to analyse the data and presented in tables.Findings - The results show that information quality, system quality and emotions affect user satisfaction and CUI, and reveal that emotions can affect that most obviously.Research limitations/implications - The WeChat public platform is mainly used in China, so the study only focuses on Chinese academic libraries. There are still limitations on the settings of observed variables which cannot cover all the causes of users' positive and negative emotions. In addition, although the respondents of this questionnaire can represent academic library users, 445 samples are still fairly low in contrast to the great number of academic library WeChat public platform users.Originality/value - This study integrates ECM-ISC and D&M ISS models, adds positive and negative emotions as new variables, to broaden the application scope of these models, and demonstrates the applicability of these two models in the fields of researching academic library social media, expanding and deepening related theories above. This also provides practical reference for academic libraries on how to improve user satisfaction and CUI of academic library social media and academic library WeChat public platforms, promoting the development of academic library social media.
引用
收藏
页码:136 / 157
页数:22
相关论文
共 50 条
[41]   Prediction of Intention to Use Social Media in Online Blended Learning Using Two Step Hybrid Feature Selection and Improved SVM Stacked Model [J].
Trivedi, Shrawan Kumar ;
Sharma, Ankit ;
Patra, Pradipta ;
Dey, Shubhamoy .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 :13501-13516
[42]   Sentiment analysis of the United States public support of nuclear power on social media using large language models [J].
Kwon, O. Hwang ;
Vu, Katie ;
Bhargava, Naman ;
Radaideh, Mohammed I. ;
Cooper, Jacob ;
Joynt, Veda ;
Radaideh, Majdi I. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 200
[43]   Concerned or Apathetic? Using Social Media Platform (Twitter) to Gauge the Public Awareness about Wildlife Conservation: A Case Study of the Illegal Rhino Trade [J].
Shan, Siqing ;
Ju, Xijie ;
Wei, Yigang ;
Wen, Xin .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (11)
[44]   A content analysis of JUUL discussions on social media: Using Reddit to understand patterns and perceptions of JUUL use [J].
Brett, Emma I. ;
Stevens, Elise M. ;
Wagener, Theodore L. ;
Leavens, Eleanor L. S. ;
Morgan, Taylor L. ;
Cotton, Whitney D. ;
Hebert, Emily T. .
DRUG AND ALCOHOL DEPENDENCE, 2019, 194 :358-362
[45]   Examining the roles of social media use and connections to public actors on democratic engagement: An analysis of young adults in three Asian societies [J].
Chan, Michael ;
Lee, Francis ;
Chen, Hsuan-Ting .
NEW MEDIA & SOCIETY, 2024, 26 (01) :53-70
[46]   Analysis of Public Sentiment on COVID-19 Mitigation Measures in Social Media in the United States Using Machine Learning [J].
Angelopoulou, Anastasia ;
Mykoniatis, Konstantinos ;
Smith, Alice E. .
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11 (01) :307-318
[47]   Motivations to use multifunctional public goods in organizations: using agent-based modeling to explore differential uses of enterprise social media [J].
Foote, Jeremy ;
Treem, Jeffrey W. ;
van den Hooff, Bart ;
Honcoop, Marjolijn .
HUMAN COMMUNICATION RESEARCH, 2023, 50 (01) :108-122
[48]   Analysis of associations between emotions and activities of drug users and their addiction recovery tendencies from social media posts using structural equation modeling [J].
Deeptanshu Jha ;
Rahul Singh .
BMC Bioinformatics, 21
[49]   Analysis of associations between emotions and activities of drug users and their addiction recovery tendencies from social media posts using structural equation modeling [J].
Jha, Deeptanshu ;
Singh, Rahul .
BMC BIOINFORMATICS, 2020, 21 (Suppl 18)
[50]   An exploratory study of social media's role in facilitating public participation in e-rulemaking using computational text analysis tools [J].
Schwoerer, Kayla .
POLICY AND INTERNET, 2023, 15 (02) :178-203