Favoritism or equality : difference analysis of users' utilization of academic social networks for top research corporations
Purpose: As an important platform for academic communication and knowledge acquisition, academic social network (ASN) has attracted worldwide researchers. The purpose of this paper is to examine and compare the differences of corporation researchers in ASN utilization from the two aspects of social performance and academic performance. Design/methodology/approach: Applying knowledge-based theory, this paper decoupled ASN into social network and academic network and measured utilization of users by social performance and academic performance. Hypotheses were proposed from the perspectives of research areas and corporate reputation. In the part of empirical research, the top 92 research corporations were selected as the sample, and relevant metric data from the member profile pages on ResearchGate was collected for comparing analysis to explore their utilization characteristics. Findings: The results show that users of different research corporations have certain favoritism in their utilization of ASNs. Science and technology-oriented corporations are better in comprehensive social performance and academic quality. Science-oriented corporations are better at utilizing the interactive functions. However, neither social utilization nor academic utilization, technology-oriented corporations perform well. Originality/value: This paper focuses on corporation researchers, who have started to embrace ASNs but whose behaviors were less studied. The research paradigm is an expansion and enrichment of the dual network decoupling theory in the field of ASN research. It also deepens the research on ASN utilization of corporation researchers and could give references for ASNs to improve service for corporation users in different research areas. Peer review: The peer review history for this article is available at:https://publons.com/publon/10.1108/OIR-12-2019-0389
Year of publication: |
2020
|
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Authors: | Yan, Weiwei ; Liu, Qian ; Chen, Ruoyu ; Zhang, Min |
Published in: |
Online Information Review. - Emerald, ISSN 1468-4527, ZDB-ID 2014462-3. - Vol. 45.2020, 1 (13.11.), p. 240-260
|
Publisher: |
Emerald |
Saved in:
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