Abstract
Nonverbal communication has important applications in all areas of marketing, including advertising, sales, and service interactions. Not only do nonverbal cues motivate inferences about the qualities of the displayers, but they also communicate the displayers' social and interaction intentions. These inferences subsequently influence consumer behavior and marketing communication outcomes. Using both lab and field experiments in my two essays, I examine the role of nonverbal communication across various marketing contexts. In the first essay, I investigate how the size of a spokesperson's face in relative to the size of the marketing communications affects consumer response. Results of the first essay demonstrate that higher facial prominence of the spokesperson within marketing communications negatively affect communication outcomes. My second essay examines the impact of a spokesperson's expression of power on consumer responses to communications about a corporate crisis. Findings in this essay indicate that the decision of whether to use powerful or powerless expressions during crisis communications can have important consequences and the impact of those communications depends on the level of relevance of the brand transgression to the audience. Theoretical contributions and managerial implications of these essays are also discussed.
Notes
If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu
Graduation Date
2021
Semester
Summer
Advisor
Wang, Ze
Degree
Doctor of Philosophy (Ph.D.)
College
College of Business Administration
Degree Program
Business Administration; Marketing
Format
application/pdf
Identifier
CFE0008609;DP0025340
URL
https://purls.library.ucf.edu/go/DP0025340
Language
English
Release Date
August 2026
Length of Campus-only Access
5 years
Access Status
Doctoral Dissertation (Campus-only Access)
STARS Citation
An, Lam, "Nonverbal Communication in Marketing" (2021). Electronic Theses and Dissertations, 2020-2023. 638.
https://stars.library.ucf.edu/etd2020/638
Restricted to the UCF community until August 2026; it will then be open access.