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The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

The effect of flow experience on mobile SNS users' loyalty

Zhou, Tao, Li, Hongxiu, Liu, Yong·2010·Industrial Management & Data Systems

Abstract

Purpose: The purpose of this research is to examine the effect of flow experience on mobile social networking service (SNS) users' loyalty. Design/methodology/approach: Based on 305 valid responses collected from a survey questionnaire, structural equation modeling (SEM) technology was employed to examine the research model. Findings: The results show that both information quality and system quality significantly affect users' trust and flow experiences, which further determine their loyalty. The results indicate that flow experience is the strongest determinant of users' loyalty. Practical implications: Mobile SNS providers need to consider user experience when seeking users' loyalty. They should enhance information quality and system quality in order to improve user trust and flow experience. Originality/value: Although much research has been conducted to explore the effects of extrinsic motivations, such as perceived usefulness, on mobile commerce user behavior, the effect of intrinsic motivations, such as flow experience, is seldom tested. This research found the effect of flow experience on mobile SNS users' loyalty to be significant.

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Metadata

Authors
Zhou, T., Li, H., & Liu, Y.
Venue
Industrial Management & Data Systems
Publisher
Emerald
Published
2010-06-29
Volume
110
Issue
6
Pages
930-946
ISSN
0263-5577 (ISSN-L)
OpenAlex
W1971255568
Cited by
291
References
16
FWCI
24.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The effect of flow experience on mobile SNS users' loyalty. https://app.cochat.ai/papers/10.1108/02635571011055126
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Zhou, T., Li, H., & Liu, Y. (2010). The effect of flow experience on mobile SNS users' loyalty. Industrial Management & Data Systems. https://doi.org/10.1108/02635571011055126

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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