The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Analyzing media types and content orientations in Facebook for global brands
Abstract
Purpose: – This study aims to examine current practices of social media marketing among major global brands across five product categories (namely, convenience, shopping, specialty, industrial and service). Assessing the frequency, media type and content orientations of corporate Facebook pages, this study aims to isolate the qualitative factors of a brand’s social media message that are most likely to facilitate a consumer response. Design/methodology/approach: – A content analysis of 1,086 social media posts was conducted from the corporate Facebook pages of 92 global brands during a one-month (snapshot) time horizon in July 2013. The data collected from each individual post include its media type (i.e. text, photo or video), its content orientation (i.e. task, interaction and self-oriented) and the number and type of consumer response it generated (i.e. likes, comments and shares). Findings: – Research findings reveal that global brands actively utilize social media, posting on average three messages per week and generally use photos (as a media type) and interaction-focused content (as a content orientation) to secure consumer responses. However, differences in consumer responses exist along various product categories, message media type and message content orientation. Practical implications: – Findings imply that marketers should not only carefully consider the media type they use to message consumers on social media but should also try to consider the individual consumer’s motive for interaction. Originality/value: – This article suggests a new way to study social media content by applying pre-existing communication frameworks from salesmanship literature as a way to define message content orientation.
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Cites
Social network sites: definition, history, and scholarship
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Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
How advertising works: what do we really know?
Vakratsas, D., & Ambler, T. (1999) · Journal of Marketing · doi:10.1177/002224299906300103 · Cited by 1,436
Labrecque, L. I. (2014) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2013.12.003 · Cited by 971
The like economy: Social buttons and the data-intensive web
Gerlitz, C., & Helmond, A. (2013) · New Media & Society · doi:10.1177/1461444812472322 · Cited by 871
How consumers assess the value of advertising
Ducoffe, R. H. (1995) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1995.10505022 · Cited by 774
Young people's use of online social networking sites – a uses and gratifications perspective
Dunne, Á., Lawlor, M., & Rowley, J. (2010) · Journal of Research in Interactive Marketing · doi:10.1108/17505931011033551 · Cited by 498
Metadata
- Authors
- Kim, D.-H., Spiller, L., & Hettche, M.
- Venue
- Journal of Research in Interactive Marketing
- Publisher
- Emerald
- Published
- 2015-03-09
- Volume
- 9
- Issue
- 1
- Pages
- 4-30
- ISSN
- 2040-7122 (ISSN-L)
- OpenAlex
- W2090336751
- Cited by
- 160
- References
- 7
- FWCI
- 42.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kim, D.-H., Spiller, L., & Hettche, M. (2015). Analyzing media types and content orientations in Facebook for global brands. Journal of Research in Interactive Marketing. https://doi.org/10.1108/jrim-05-2014-0023
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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.