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Cited by 258

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

To App or Not to App: Engaging Consumers via Branded Mobile Apps

Kim, Eunice, Lin, Jhih-Syuan, Sung, Yongjun·2013·Journal of Interactive Advertising

Abstract

With the rapid growth of smartphone and smartphone application users, mobile apps have attracted an increasing amount of attention as an engaging platform for marketing communication. A content analysis of 106 branded apps of global brands found that most global brands incorporate into their apps important engagement attributes that this study examines (i.e., vividness, novelty, motivation, control, customization, feedback, and multiplatforming) and frequently employ entertainment features. In addition, this study shows the extent to which branded apps employ transformational and informational message strategies. Last, branded apps feature a variety of brand-related content, including brand identifiers and virtual products. Practical implications of this study are discussed for mobile advertisers and branded app designers.

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Metadata

Authors
Kim, E., Lin, J.-S., & Sung, Y.
Venue
Journal of Interactive Advertising
Published
2013-01
Volume
13
Issue
1
Pages
53-65
ISSN
1525-2019 (ISSN-L)
OpenAlex
W2044123466
Cited by
258
References
5
FWCI
44.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: To App or Not to App: Engaging Consumers via Branded Mobile Apps. https://app.cochat.ai/papers/10.1080/15252019.2013.782780
The paper
Kim, E., Lin, J.-S., & Sung, Y. (2013). To App or Not to App: Engaging Consumers via Branded Mobile Apps. Journal of Interactive Advertising. https://doi.org/10.1080/15252019.2013.782780

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.