Ayuda
Ir al contenido

Dialnet


"You Lost Me at Hello": How and when accent-based biases are expressed and suppressed

  • Autores: Ze Wang, Aaron D. Arndt, Surendra N. Singh, Monica Biernat, Fan Liu
  • Localización: International journal of research in marketing, ISSN 0167-8116, Vol. 30, Nº 2, 2013, págs. 185-196
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • This research examines customer biases relating to employee accents in call service encounters. Extant research and practitioners generally assume that customers automatically evaluate call service employees with a nonstandard accent lower than employees with a standard accent. However, using the justification�suppression model as a framework, we argue that customers frequently suppress accent biases toward call service employees. We conduct three empirical studies, and our findings indicate that customers rate employees with an accent receiving a negative bias lower only when a service outcome is unfavorable for customers. In contrast, accents receiving a positive bias only impact customer evaluations when service outcomes are favorable for customers. Additionally, we demonstrate that the suppression and justification of accent biases rely on both cognitive and affective mechanisms. Finally, we show that customers who are informed of the frequency of a favorable vs. unfavorable outcome are more likely to suppress biases.


Fundación Dialnet

Dialnet Plus

  • Más información sobre Dialnet Plus

Opciones de compartir

Opciones de entorno