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Zeng H, Bao Z. Understanding continuance intention of social Q&A communities for informal learning among university students. PSYCHOLOGY IN THE SCHOOLS 2023. [DOI: 10.1002/pits.22859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Huijuan Zeng
- School of Business Administration Nanjing University of Finance and Economics Nanjing China
| | - Zheshi Bao
- School of Business Administration Nanjing University of Finance and Economics Nanjing China
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The dynamics of Q&A in academic social networking sites: insights from participants, interaction network, response time, and discipline differences. Scientometrics 2023. [DOI: 10.1007/s11192-022-04624-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Wu D, Lu L, Cheng L. Modelling searching on academic social networking sites: a focus on learning outcomes. ELECTRONIC LIBRARY 2022. [DOI: 10.1108/el-06-2021-0123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
This paper aims to establish a theoretical search model on academic social networking sites (ASNSs).
Design/methodology/approach
Based on the characteristics of ASNSs and a previous extended sense-making model, this paper first presented an initial model of searching on ASNSs. Next, an online survey was conducted on ResearchGate to understand the search processes and outcomes with the help of a survey questionnaire. In total, 359 participants from 70 countries participated in this online survey. The survey results provided a basis for modifying the initial model.
Findings
Results showed that the theoretical model of searching on ASNSs included motives for searching on ASNSs, identification of needs, search triggered by information needs, search triggered by social needs and outcomes. The search triggered by information needs was significantly positively correlated with learning outcomes. Besides learning outcomes, searching on ASNSs could help user amplify their social networks and promote research dissemination.
Practical implications
Understanding users’ search habits and knowledge acquisition can provide insights for ASNSs to design an interface to support searching and enhance learning. Moreover, the proposed model can help users recognize their knowledge status and learning effects and improve their learning efficiency.
Originality/value
This paper contributes to establishing a theoretical model to understand users’ search process and outcomes on ASNSs.
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ResearchGate and Google Scholar: how much do they differ in publications, citations and different metrics and why? Scientometrics 2022. [DOI: 10.1007/s11192-022-04264-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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