Social Q&A communities: A multi-factor study of the influence of users' knowledge sharing behaviors

被引:2
|
作者
Wen, Yi [1 ]
Yuan, Xiaofang [1 ]
Li, Wenqin [1 ]
机构
[1] Xian Univ Sci & Technol, Management Sch, Xian, Peoples R China
来源
FRONTIERS IN PSYCHOLOGY | 2022年 / 13卷
关键词
social Q&A community; knowledge sharing behaviors; perceived ease of use; perceived usefulness; perceived behavioral control; subjective norms; perceived security; perceived privacy; VIRTUAL COMMUNITIES; ONLINE COMMUNITIES; QUESTION; MODEL; INTENTION; SECURITY;
D O I
10.3389/fpsyg.2022.967991
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Recently, social Q&A communities have grown increasingly popular, serving as a primary platform for people to learn and share information. Nonetheless, fewer knowledge producers in these communities are significant than knowledge consumers. Thus, promoting users' participation in knowledge sharing is a challenge for managers of social Q&A communities. Even though many scholars have studied factors influencing willingness to share knowledge, they tend to start with one theory and ignore the impact of several factors on behaviors. Thus, this manuscript presents a multi-factor model based on three dimensions of technology, cognition, and security to explore the effects of the six factors of perceived ease of use and perceived usefulness, perceived behavioral control and subjective norms, perceived security, and perceived privacy in terms of the three knowledge sharing methods of browsing including like and favorite, publishing and replying, and to compare users' willingness to use the three knowledge sharing methods. A total of 482 questionnaires were collected online, and the hypotheses were tested and analyzed using structural equation modeling (SEM). According to the results, the factors affecting different sharing methods are not the same. Perceived behavioral control and perceived security can have a significant influence on their willingness to browse, users' willingness to publish and reply to posts is significantly influenced by their perception of behavioral control and subjective norms, while perceived usefulness also affects their willingness to respond, it can be seen that cognition is the most important factor affecting users' knowledge sharing among the three dimensions. In addition, users' willingness to browse is significantly greater than their willingness to reply, and their willingness to post is the lowest.
引用
收藏
页数:13
相关论文
共 30 条
  • [21] The influence of the community climate on users' knowledge-sharing intention: the social cognitive theory perspective
    Cai, Yang
    Shi, Wendian
    BEHAVIOUR & INFORMATION TECHNOLOGY, 2022, 41 (02) : 307 - 323
  • [22] Does social climate influence positive eWOM? A study of heavy-users of online communities
    Ruiz-Mafe, Carla
    Bigne-Alcaniz, Enrique
    Sanz-Blas, Silvia
    Tronch, Jose
    BRQ-BUSINESS RESEARCH QUARTERLY, 2018, 21 (01) : 26 - 38
  • [23] The Influence of Social Media on Employee's Knowledge Sharing Motivation: A Two-Factor Theory Perspective
    Zhang, XiaoJuan
    Jinpeng, Xiang
    Khan, Farhan
    SAGE OPEN, 2020, 10 (03):
  • [24] Sharing or Hiding? Exploring the Influence of Social Cognition and Emotion on Employee Knowledge Behaviors within Enterprise Social Media
    He, Mingming
    Yuan, Ziyi
    She, Wenhao
    BEHAVIORAL SCIENCES, 2024, 14 (08)
  • [25] Examining the Influence of the Social Cognitive Factors and Relative Autonomous Motivations on Employees' Knowledge Sharing Behaviors
    Wang, Wei-Tsong
    DECISION SCIENCES, 2016, 47 (03) : 404 - 436
  • [26] Social Media Influence on Students' Knowledge Sharing and Learning: An Empirical Study
    Sivakumar, Arunkumar
    Jayasingh, Sudarsan
    Shaik, Shahenaz
    EDUCATION SCIENCES, 2023, 13 (07):
  • [27] Predicting users knowledge contribution behaviour in technical vs non-technical online Q&A communities: SEM-Neural Network approach
    Mustafa, Sohaib
    Zhang, Wen
    BEHAVIOUR & INFORMATION TECHNOLOGY, 2023, 42 (15) : 2521 - 2544
  • [28] How user participation in the self-governance of online communities affects knowledge contribution: Empirical evidence from a large-scale social Q&A platform
    Zhou, Yusheng
    Zhu, Lei
    Wu, Chuanhui
    Wang, Qun
    Yuan, Qinjian
    JOURNAL OF STRATEGIC INFORMATION SYSTEMS, 2025, 34 (03):
  • [29] How to mend the dormant user in Q&A communities? A social cognitive theory-based study of consistent geeks of StackOverflow
    Mustafa, Sohaib
    Zhang, Wen
    Naveed, Muhammad Mateen
    BEHAVIOUR & INFORMATION TECHNOLOGY, 2024, 43 (10) : 2024 - 2043
  • [30] Measuring the influence and amplification of users on social network with unsupervised behaviors learning and efficient interaction-based knowledge graph
    Tran, Quan M.
    Nguyen, Hien D.
    Huynh, Tai
    Nguyen, Kha V.
    Hoang, Suong N.
    Pham, Vuong T.
    JOURNAL OF COMBINATORIAL OPTIMIZATION, 2022, 44 (04) : 2919 - 2945