The DOI matches its Crossref record.
Organizational Blogs and the Human Voice: Relational Strategies and Relational Outcomes
Abstract
This study develops and tests operational definitions of relational maintenance strategies appropriate to online public relations. An experiment was designed to test the new measures and to test hypotheses evaluating potential advantages of organizational blogs over traditional Web sites. Participants assigned to the blog condition perceived an organization’s “conversational human voice” to be greater than participants who were assigned to read traditional Web pages. Moreover, perceived relational strategies (conversational human voice, communicated relational commitment) were found to correlate significantly with relational outcomes (trust, satisfaction, control mutuality, commitment).
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Citations
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Qian, H., & Scott, C. R. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00380.x · Cited by 343
Gretry, A., Horváth, C., Belei, N., & van Riel, A. C. R. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.01.012 · Cited by 229
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Tourism, travel and tweets: algorithmic text analysis methodologies in tourism
Claster, W., Pardo, P., Cooper, M., & Tajeddini, K. (2013) · Middle East J. of Management · doi:10.1504/mejm.2013.054071 · Cited by 45
Schneider, E., Kyriakopoulos, V., Seo, Y., Hong, N., Lee, M., & Lim, J. S. (2026) · Corporate Reputation Review · doi:10.1057/s41299-026-00254-9 · Cited by 4
Metadata
- Authors
- Kelleher, T., & Miller, B. M.
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-01
- Volume
- 11
- Issue
- 2
- Pages
- 395-414
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W2155809743
- Cited by
- 431
- References
- 0
- FWCI
- 73.37
- Type
- journal article
- Language
- en
- Open access
- closed
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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.