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
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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Cited by
An empirical examination of continuance intention of mobile payment services
Zhou, T. (2013) · Decision Support Systems · doi:10.1016/j.dss.2012.10.034 · Cited by 914
Self-citationTrust in humanoid robots: implications for services marketing
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A meta-analysis of antecedents and consequences of trust in mobile commerce
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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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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