Exploring the factors influencing users' learning and sharing behavior on social media platforms

Abstract

PurposeThe research goal is to understand what factors affect users' knowledge and information learning and sharing on social media platforms. This study focuses on the impact of platform characteristics on users' behavior. Specifically, the purpose of this study is to investigate (1) what factors affect users' learning and dissemination of knowledge and information on social media platforms, (2) whether knowledge and information learning behavior will have a positive effect on sharing behavior and (3) try to establish an impact model of users' learning and sharing behavior about knowledge and information.Design/methodology/approachThis study proposes an impact mechanism model to test these hypotheses. To achieve this, the authors collected data from 430 users who have used the social media platforms to acquire and share knowledge and information to test the hypothesis. The tools SPSS 26.0 and AMOS 23.0 were used to analyze the reliability, validity, model fits and structural equation modeling.FindingsThe results show that the learning of knowledge and information can influence the sharing behavior on social media platforms. Users' platform-based trust and platform-based satisfaction affect their knowledge and information learning and sharing on the platform. Factors affecting users' trust in social platforms include privacy protection effectiveness and network effects. And, perceived usefulness and perceived ease of use are related to users' satisfaction with social media platforms.Originality/valueThis study constructs an impact model on the learning and sharing of knowledge and information. The model takes the information system continuance model as the theoretical framework and integrates other factors, including the network effect, the effectiveness of privacy protection and trust. Most of the hypotheses of this research were confirmed. The conclusions provide practical guidance for the dissemination of knowledge information and platform management.

Editorial: 40th anniversary: contemporary library research

“…Social media and library and information services Social media is particularly impactful to the younger generation, not just in their daily lives but also in their learning (Leung et al, 2021;Wang et al, 2021;Lei et al, 2021;Dong et al, 2021;Cheng et al, 2022;Wang and Xie, 2022;Dong et al, 2021;Wang et al, 2022b). Thus, library services also need to be promoted and provided on social media (Chan et al, 2020b;Cheng et al, 2020;Fong et al, 2020;Lam et al, 2022;Guo et al, 2022;Yang et al, 2022).…”

Can social capital and planned behaviour favour an increased willingness to share scientific data? Evidence from data originators

“…Some researchers may be reluctant to share data out of concerns about data quality (Wicherts et al, 2011) and some for lack of confidence in data sources or data acquisition methods. Data quality has been proven to be a critical indicator of capability in data sharing (Wang and Pu, 2021). With high quality, researchers are more likely to feel confident in their data and, thus, more willing to share it.…”

“…Scientific data sharing refers to various forms of dissemination and reuse of scientific data between originators and recipients, with the aim of expanding the scale of data flow as well as data recycling in academia and commerce and maximizing data value (Chen et al , 2022). Data originators are the base and premise of scientific data sharing (Wang and Pu, 2021). As the researchers who originally gather and process the data, their willingness to share is critical.…”

“…Previous studies have divided the factors influencing attitudes and willingness into drivers and barriers. Piwowar and Vision (2013) labelled as drivers increased visibility, citation rate and journal submission requirements, while Wang and Pu (2021) labelled worldwide best practices, policy-driving, technology-driving, mind-set shift, management transformation, institutional requirements for improving research performance and competitiveness and data preservation and Ma (2021) labelled expected returns, self-efficacy, trust, positive emotions, organizational climate, subjective norms and perceived behavioural control. The barriers are related to awareness, capabilities, costs, benefits, risks and social evaluation (Bi et al , 2020; Wang and Pu, 2021).…”

Editorial: Special selection on contemporary digital culture and reading

“…They noted that the decoupling of text they read and comments would lead users to mainly share text excerpts rather than original personal reactions to the story. Readers may note that social media has been important learning aid, especially for the younger generation, though it cannot replace formal learning (Li et al , 2021; Cheng et al , 2022; Leung et al , 2022a, b; Wang and Xie, 2022; Mak et al , 2022).…”