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Cited by 268

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Perceived Effectiveness of Push vs. Pull Mobile Location Based Advertising

Unni, Ramaprasad, Harmon, Robert·2007·Journal of Interactive Advertising

Abstract

The emergence of mobile phones as the leading personal communications device portends their attractiveness as a potentially lucrative media platform for marketers. This article presents initial consumer evaluations of mobile location-based advertising (LBA). LBA is a new form of marketing communication that uses location-tracking technology in mobile networks to target consumers with location-specific advertising on their cell phones. We use an experimental setting to test the effects of LBA characteristics on privacy concerns about location tracking, perceived benefits, value, and intentions to try LBA. LBA was described as a free, opt-in service from cell phone service providers. Results indicate that privacy concerns are high, and perceived benefits and value of LBA are low. LBA was relatively more effective when it becomes available upon explicit request by the consumer than when consumers are alerted to location-specific advertising or promotions for preferred product categories relevant to a specific location. Implications for marketers are discussed.

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Crossref · 10.1080/15252019.2007.10722129

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Metadata

Authors
Unni, R., & Harmon, R.
Venue
Journal of Interactive Advertising
Published
2007-03
Volume
7
Issue
2
Pages
28-40
ISSN
1525-2019 (ISSN-L)
OpenAlex
W1964600062
Cited by
268
References
54
FWCI
25.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Perceived Effectiveness of Push vs. Pull Mobile Location Based Advertising. https://app.cochat.ai/papers/10.1080/15252019.2007.10722129
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Unni, R., & Harmon, R. (2007). Perceived Effectiveness of Push vs. Pull Mobile Location Based Advertising. Journal of Interactive Advertising. https://doi.org/10.1080/15252019.2007.10722129

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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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