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Cited by 358

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

A customer value, satisfaction, and loyalty perspective of mobile application recommendations

Open access
Xu, Chenyan, Peak, Daniel, Prybutok, Victor·2015·Decision Support Systems

Abstract

Although both anecdotal and academic sources have suggested that interpersonal recommendation is an important means to promote mobile applications (apps), little to no research has investigated this topic. To fill the void, we develop a research model based on the Customer Value, Satisfaction, and Loyalty Framework (VSL). While prior VSL studies treated customer value as a black box and examined its effects as a whole, this research breaks down customer value to utilitarian benefits (consisting of app utility and app quality), hedonic benefits (consisting of app aesthetics and enjoyment), monetary sacrifices and non-monetary sacrifices (consisting of technicality, knowledge of alternative quality and privacy risk). This research extends VSL to the mobile app context and discerns factors that influence app recommendation. Based on the data analysis of 347 app users, we found that intention to recommend is a strong predictor of app recommendation behavior. Satisfaction with apps, users' app continuance intention, and hedonic benefits obtained from using apps are the direct antecedents of intention to recommend. Moreover, non-monetary sacrifices and utilitarian benefits have indirect effects on intention to recommend through satisfaction and app continuance intention. Contrary to our hypotheses, we did not find the significant effects of monetary sacrifices in the refined VSL. We also provide a detailed discussion about these findings, and the theoretical and practical implications of the research.

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Metadata

Authors
Xu, C., Peak, D., & Prybutok, V.
Venue
Decision Support Systems
Publisher
Elsevier BV
Published
2015-11
Volume
79
Pages
171-183
ISSN
0167-9236 (ISSN-L)
OpenAlex
W1230363684
Cited by
358
References
90
FWCI
36.02
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A customer value, satisfaction, and loyalty perspective of mobile application recommendations. https://app.cochat.ai/papers/10.1016/j.dss.2015.08.008
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Xu, C., Peak, D., & Prybutok, V. (2015). A customer value, satisfaction, and loyalty perspective of mobile application recommendations. Decision Support Systems. https://doi.org/10.1016/j.dss.2015.08.008

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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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