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Trust-building strategies in corporate discourse: An experimental study

Fuoli, Matteo, Hart, Christopher·2018·Discourse & Society
DOI 10.1177/0957926518770264
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Abstract

This article presents a scenario-based experiment designed to test the effects of trust-building strategies, realised in stance-taking acts, which a previous corpus-based study found to be salient features of stakeholder-facing corporate communication. The experiment relies on a between-subjects design in which a target group of subjects are exposed to trust-building strategies while another control group of subjects are not. We apply this paradigm to corporate discourse in the form of an About Us webpage produced by a fictitious multinational pharmaceutical company that has been accused by a whistle-blower of corporate misconduct. The results of the study show that these strategies are indeed effective in fostering trust in the company and have an indirect positive effect on the perceived credibility of the company’s denial in response to the allegations made by the whistle-blower. The strategies are therefore able to mitigate the potential damage caused by public accusations of wrongdoing and help companies insure against future threats to their legitimacy and freedom to operate, as when their behaviour violates, or is said to violate, societal norms and values. Theoretically, the results provide insights into the psychological mechanisms of trust-building and reader response. Methodologically, the study contributes to the growing body of work using experimental methods in Critical Discourse Analysis (CDA) by further demonstrating that experimentation can usefully complement more traditional discourse-analytical methods as a form of triangulation.

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Metadata

Authors
Fuoli, M., & Hart, C.
Affiliations
  • University of Birmingham, UK
  • Lancaster University, UK
Venue
Discourse & Society
Publisher
SAGE Publications
Published
2018-05-14
Volume
29
Issue
5
Pages
514-552
ISSN
  • 0957-9265
  • 1460-3624
DOI
10.1177/0957926518770264
Cited by
62
References
7
Language
en
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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