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Cited by 482

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Gamification and Mobile Marketing Effectiveness

Open access
Hofacker, Charles F., de Ruyter, Ko, Lurie, Nicholas H., Manchanda, Puneet, Donaldson, Jeff·2016·Journal of Interactive Marketing

Abstract

A variety of business sectors have been buffeted by the diffusion of mobile technology, a trend that presents a variety of difficult challenges but interesting opportunities to marketers. One such opportunity is gamification, which, one hopes, will enhance appeal to mobile consumers. Our sense from both personal experience and the literature is that the gamified mobile apps currently offered by firms mostly miss the mark. We provide a systematic overview of game design and note how principles derived from that field are highly applicable to gamification in mobile marketing settings. We are aided by the work of Schell (2008), whose Elemental Game Tetrad Model allows us to offer a coherent look at how gamification should affect mobile marketing outcomes.

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Registry

Crossref · 10.1016/j.intmar.2016.03.001

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Metadata

Authors
Hofacker, C. F., de Ruyter, K., Lurie, N. H., Manchanda, P., & Donaldson, J.
Venue
Journal of Interactive Marketing
Published
2016-05
Volume
34
Issue
1
Pages
25-36
ISSN
  • 1094-9968 (ISSN-L)
  • 1520-6653
OpenAlex
W3124910589
Cited by
482
References
77
FWCI
79.01
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Gamification and Mobile Marketing Effectiveness. https://app.cochat.ai/papers/10.1016/j.intmar.2016.03.001
The paper
Hofacker, C. F., de Ruyter, K., Lurie, N. H., Manchanda, P., & Donaldson, J. (2016). Gamification and Mobile Marketing Effectiveness. Journal of Interactive Marketing. https://doi.org/10.1016/j.intmar.2016.03.001

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.