Universal Dimensions of Individuals' Perception: Revisiting the Operationalization of Warmth and Competence with a Mixed-Method Approach

Autor(en)
Georgios Halkias, Adamantios Diamantopoulos
Abstrakt

A dynamic and growing body of marketing literature draws from the Stereotype Content Model's (SCM) dimensions, warmth and competence, to describe individuals' perception of various market-related stimuli (e.g., salespeople, employees, products) and predict their influence on subsequent behavior. However, the operationalization of these fundamental dimensions in empirical marketing research has been inconsistent and problematic, hindering comparability of findings across studies and limiting the overall usefulness of warmth–competence in relevant research. Using a mixed-method approach, the present paper scrutinizes the warmth–competence dimensions in order to validate and optimize their measurement. Through seven studies using different methodologies and metrics, we identify a set of trait items that (a) capture perceptions of warmth and competence consistently across a variety of impression formation settings, and (b) display strong psychometric properties. Our findings offer a parsimonious approach that promotes the consistent operationalization of warmth and competence across marketing studies and enables the integration of empirical findings, both of which are crucial requirements for meta-analytic investigations, replication studies, and integrative reviews.

Organisation(en)
Institut für Marketing und International Business
Journal
International Journal of Research in Marketing
Band
37
Seiten
714-736
Anzahl der Seiten
23
ISSN
0167-8116
DOI
https://doi.org/10.1016/j.ijresmar.2020.02.004
Publikationsdatum
02-2020
Peer-reviewed
Ja
ÖFOS 2012
502052 Betriebswirtschaftslehre, 502019 Marketing
Schlagwörter
ASJC Scopus Sachgebiete
Marketing
Link zum Portal
https://ucris.univie.ac.at/portal/de/publications/universal-dimensions-of-individuals-perception-revisiting-the-operationalization-of-warmth-and-competence-with-a-mixedmethod-approach(6c38883b-4d52-453d-a7c5-f160b51b8180).html