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Cited by 298

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Measuring the Degree of Corporate Social Media Use

Aichner, Thomas, Jacob, Frank·2015·International Journal of Market Research

Abstract

This article aims to provide a model with which to measure the degree of corporate social media use or, in other words, the extent to which companies are exploiting the potentialities of single or multiple social media platforms. This is, however, explicitly different from using metrics to assess the success of social media activities, as it is purely measuring how intensively a pre-defined group of social media is utilised, taking into account the frequency of social media activity by the brand as well as the related user reactions. The degree of corporate social media use helps companies and market researchers analyse single brands or companies and compare them with other brands, competitors or industry averages. The degree of corporate social media use is a useful indicator, which should be combined with social media metrics in order to draw better conclusions about where to increase or intensify social media activities.

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Crossref · 10.2501/ijmr-2015-018

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Metadata

Authors
Aichner, T., & Jacob, F.
Venue
International Journal of Market Research
Published
2015-03
Volume
57
Issue
2
Pages
257-276
ISSN
  • 1470-7853 (ISSN-L)
  • 2515-2173
OpenAlex
W340107976
Cited by
298
References
2
FWCI
71.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measuring the Degree of Corporate Social Media Use. https://app.cochat.ai/papers/10.2501/ijmr-2015-018
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Aichner, T., & Jacob, F. (2015). Measuring the Degree of Corporate Social Media Use. International Journal of Market Research. https://doi.org/10.2501/ijmr-2015-018

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.