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Author ORCID Identifier
Date Available
7-30-2021
Year of Publication
2021
Document Type
Doctoral Dissertation
Degree Name
Doctor of Philosophy (PhD)
College
Business and Economics
Department/School/Program
Management
Faculty
Dr. Walter J. Ferrier
Faculty
Dr. Nancy Johnson
Abstract
Non-prototypical CEOs are those that process different demographic characteristics from a target reference group. In the US, a non-prototypical CEO is both white and male. While the negative responses to non-prototypical leaders based on race and gender have been well documented, we know less on what these leaders do that may influence biased evaluations. In this dissertation I took an impression management view to examine analysts’ evaluative bias (AEB) on prototypical and non-prototypical CEOs hiding linguistic behaviors and competitive aggressiveness. Specifically, I examined hiding linguistic behaviors on quarterly conference calls and two attributes of competitive repertoire will be researched. Drawing from leadership categorization theory, competitive dynamics: competitive volume and competitive complexity.
Using a matched sample of Fortune 500 CEOs from 2006-2012 of quarterly conference calls and RavenPack action data I found support for difference in who exhibits hiding linguistic behavior and how non-prototypical CEOs are evaluated differently based on their competitive aggressive. This research seeks to take an impression management look at how non-prototypical leaders are evaluated and narrow the gap between how CEOs operate versus what they say to third party evaluators.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2021.338
Recommended Citation
Hart, Courtney, "WHAT YOU DO OR WHAT YOU SAY? AN EXAMINATION OF ANALYST REACTIONS TO PROTOTYPICAL AND NON-PROTOTYPICAL CEOS LINGUISTIC AND COMPETITIVE BEHAVIORS" (2021). Theses and Dissertations--Management. 13.
https://uknowledge.uky.edu/management_etds/13
Included in
Business Administration, Management, and Operations Commons, Business and Corporate Communications Commons, Computational Linguistics Commons, Management Sciences and Quantitative Methods Commons
