Toggle Main Menu Toggle Search

Open Access padlockePrints

Blaming me, blaming you! The pendulum of blame in payday lending

Lookup NU author(s): Dr Jane BrownORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Following a negative service experience, existing studies assert that consumers attribute blame either internally (self-blame) or externally (other-blame) with little indication that the attribution ever changes. This study explores blame to discover whether there are changes in attribution, specifically whether it may shift from self to other. Analysing qualitative data from borrowers in the payday lending market using I-/They-poems, this study finds firstly that blame oscillates between self and other and, secondly, that payday borrowers practice counterfactual thinking to alleviate negative emotions, which in turn prompts this blame oscillation. In revealing that blame attribution can act as a pendulum oscillating between self and other, this study makes a critical advance to existing blame research. The study also supports previous studies in I-/They-poems in uncovering novel insights into consumer theory. Evidence also emerges that the neoliberal view of the ‘empowered consumer’ interacts with the more traditional, organisation-oriented perspective, as from a consumer behaviour perspective, the attempts to improve psychological well-being and the oscillation of blame contribute to shifts in the perceived power in the loan market.


Publication metadata

Author(s): Brown J, Apostolidis C, Farquhar JD

Publication type: Article

Publication status: Published

Journal: Marketing Theory

Year: 2021

Volume: 21

Issue: 4

Pages: 517-538

Print publication date: 01/12/2021

Online publication date: 02/07/2021

Acceptance date: 10/03/2021

Date deposited: 01/11/2021

ISSN (print): 1470-5931

ISSN (electronic): 1741-301X

Publisher: Sage Publications Ltd.

URL: https://doi.org/10.1177/14705931211027930

DOI: 10.1177/14705931211027930


Altmetrics

Altmetrics provided by Altmetric


Share