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Modelling searching on academic social networking sites: a focus on learning outcomes

Modelling searching on academic social networking sites: a focus on learning outcomes This paper aims to establish a theoretical search model on academic social networking sites (ASNSs).Design/methodology/approachBased 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.FindingsResults 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 implicationsUnderstanding 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/valueThis paper contributes to establishing a theoretical model to understand users’ search process and outcomes on ASNSs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Electronic Library Emerald Publishing

Modelling searching on academic social networking sites: a focus on learning outcomes

Wu, Dan; Lu, Liuxing; Cheng, Lei
The Electronic Library , Volume 40 (3): 20 – May 13, 2022
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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0264-0473
eISSN
0264-0473
DOI
10.1108/el-06-2021-0123
Publisher site
See Article on Publisher Site

Abstract

This paper aims to establish a theoretical search model on academic social networking sites (ASNSs).Design/methodology/approachBased 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.FindingsResults 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 implicationsUnderstanding 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/valueThis paper contributes to establishing a theoretical model to understand users’ search process and outcomes on ASNSs.

Journal

The Electronic Library – Emerald Publishing

Published: May 13, 2022

Keywords: Searching; Searching as learning; Academic social networking sites; Search models; ResearchGate

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