The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Determinants of social media adoption by B2B organizations
Open accessAbstract
This study contributes to the current dearth of knowledge on the potential of social media as a marketing tool in industrial settings, by focusing on factors that determine social media adoption by B2B organizations. A conceptual model, which draws on the technology acceptance model and resource-based theory, is developed and tested using quantitative data from B2B organizations in the UK. Findings suggest that perceived usefulness of social media within B2B organizational contexts is determined by image, perceived ease of use and perceived barriers. Additionally, the results show that adoption of social media is significantly affected by organizational innovativeness and perceived usefulness. The moderating role of organizational innovativeness is also tested but no support is found. The findings of the study are further validated via nine qualitative interviews with B2B senior managers, yielding additional interesting and in-depth insights into the drivers of social media adoption by B2B organizations.
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Cited by
Social media in marketing: A review and analysis of the existing literature
Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.05.008 · Cited by 1,123
A comparison of social media marketing between B2B, B2C and mixed business models
Iankova, S., Davies, I., Archer-Brown, C., Marder, B., & Yau, A. (2019) · Industrial Marketing Management · doi:10.1016/j.indmarman.2018.01.001 · Cited by 338
Foltean, F. S., Trif, S. M., & Tuleu, D. L. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.047 · Cited by 228
Ritz, W., Wolf, M., & McQuitty, S. (2019) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-04-2018-0062 · Cited by 219
Organizational intention to adopt big data in the B2B context: An integrated view
Sun, S., Hall, D. J., & Cegielski, C. G. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.09.003 · Cited by 212
Metadata
- Authors
- Siamagka, N.-T., Christodoulides, G., Michaelidou, N., & Valvi, A.
- Venue
- Industrial Marketing Management
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 51
- Pages
- 89-99
- ISSN
- 0019-8501 (ISSN-L)
- OpenAlex
- W2119885190
- Cited by
- 352
- References
- 20
- FWCI
- 90.80
- Type
- journal article
- Language
- en
- Open access
- green
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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.
