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Assessing Brand-Consumer Personality Congruence on Twitter: A Computational Textual Analysis Approach

Abstract

dc:description.abstract

Brands gain importance to consumers when the consumer supplies meaning or value to the brand (McCracken, 1993). BP allows consumers to use brands for self-expression (deChernatony, 1999; Johar & Sirgy; 1991; McCracken, 1986) and establish relationships with brands (Fournier, 1998; Keller, 2003; Meenaghan, 1995). Research shows that consumers are attracted to brands that align with their own personality traits (Escalas & Bettman, 2005; Johar et al., 2005; Landon, 1974). Brand personality has become an integral part of a brand’s social media presence. However, the few researchers who are exploring the role of personality in a brand's social media communications are opting to use Aaker's (1997) BP questionnaire (Xu et al., 2016) or psychologist personality measures (Pentina, Zhang, & Basmanova, 2013; Yun et al., 2019). This study will utilize the computational textual analysis software Linguistic Inquiry and Word Count (LIWC; Pennebaker, Francis, & King, 2001) and a custom adapted adjective-based dictionary (Opoku, 2006) to examine BP in brand communication on Twitter. The primary goal of this study was to examine whether consumer engagement, either directly with specific highly social brands or just within a product type, moderates the effect of brand/consumer personality congruence. Towards these ends, we found that consumers who engage with brands identified as highly social are more likely to exhibit personality congruence than consumers who are engaging with a product type. The analysis revealed that the BP dimension has a direct impact on whether consumers engaging with the brand demonstrate congruence.

Degree

thesis:*
Grantor dc:publisher
University of Alabama Libraries
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bruce, Kelsey Lauren
Advisor dc:contributor.advisor
  • Hayes, Jameson
Contributors dc:contributor
  • Britt, Brian C
  • Panek, Elliot

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • All rights reserved by the author unless otherwise indicated.
Language dc:language.iso
en_US, English

Identifiers

dc:identifier.*
Dc Identifier Other
http://purl.lib.ua.edu/182061
u0015_0000001_0004214
Bruce_alatus_0004M_14280
OAI identifier oai:identifier
oai:ir.ua.edu:123456789/8393

Chain of custody

source
Harvested from
University of Alabama
Base URL
ir-api.ua.edu/oai/request
Last updated
2026-07-27
Source record
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citation

Bruce, Kelsey Lauren. Assessing Brand-Consumer Personality Congruence on Twitter: A Computational Textual Analysis Approach. University of Alabama Libraries, 2020. https://ir.ua.edu/handle/123456789/8393