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Cited by 564

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

Brand communities embedded in social networks

Open access
Zaglia, Melanie E.·2013·Journal of Business Research

Abstract

Brand communities represent highly valuable marketing, innovation management, and customer relationship management tools. However, applying successful marketing strategies today, and in the future, also means exploring and seizing the unprecedented opportunities of social network environments. This study combines these two social phenomena which have largely been researched separately, and aims to investigate the existence, functionality and different types of brand communities within social networks. The netnographic approach yields strong evidence of this existence; leading to a better understanding of such embedded brand communities, their peculiarities, and motivational drivers for participation; therefore the findings contribute to theory by combining two separate research streams. Due to the advantages of social networks, brand management is now able to implement brand communities with less time and financial effort; however, choosing the appropriate brand community type, cultivating consumers' interaction, and staying tuned to this social engagement are critical factors to gain anticipated brand outcomes.

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Crossref · 10.1016/j.jbusres.2012.07.015

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Metadata

Authors
Zaglia, M. E.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2013-02
Volume
66
Issue
2
Pages
216-223
ISSN
0148-2963 (ISSN-L)
OpenAlex
W1979081691
Cited by
564
References
5
FWCI
86.70
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Brand communities embedded in social networks. https://app.cochat.ai/papers/10.1016/j.jbusres.2012.07.015
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Zaglia, M. E. (2013). Brand communities embedded in social networks. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2012.07.015

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.