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Brage INN
Article . 2011
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Journal of Service Management
Article . 2011 . Peer-reviewed
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Negative emotions and their effect on customer complaint behaviour

Authors: Tronvoll, Bård;

Negative emotions and their effect on customer complaint behaviour

Abstract

PurposeThis study aims to investigate pre‐complaint situations and has a threefold purpose: to identify a set of negative emotions experienced in unfavourable service experiences, to examine the patterns of these negative emotions and to link these negative emotions to complaint behaviour.Design/methodology/approachTo fulfil the threefold purpose previously outlined, the study uses a combination of qualitative and quantitative methodologies. A critical incident technique is applied. The empirical data are derived from 25 in‐depth interviews and the results of a questionnaire survey of 3,104 respondents.FindingsA total of 20 observed negative emotions are reduced to a second‐order construct with five latent categories of negative emotions: shame, sadness, fear, anger and frustration. These categories coincide with three categories of negative emotions in the agency dimension: other‐attributed, self‐attributed and situational‐attributed. The study finds that the negative emotion of frustration is the best predictor for complaint behaviour towards the service provider.Research limitations/implicationsThe results are limited by the fact that the data are entirely self‐reported. Moreover, the generalisabilty of the results is limited by the fact that the findings relate to one service industry in one country.Originality/valueThe study provides a comprehensive conceptual understanding of both pre‐complaint negative emotions and how these emotions affect customer complaint behaviour.

Country
Norway
Keywords

VDP::Social science: 200::Sociology: 220, frustration, customer complaint behaviour, negative emotions, attribution

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    134
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
134
Top 1%
Top 10%
Top 10%
Green
bronze