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Journal of Consumer Behaviour
Article . 2019 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Brand switching and consumer identification with brands in the smartphones industry

Authors: Dominic Appiah; Wilson Ozuem; Kerry E. Howell; Geoff Lancaster;

Brand switching and consumer identification with brands in the smartphones industry

Abstract

AbstractBrand loyalty literature has mainly focused on how brands perform under normal market conditions. As the business environment grows more complex, globalised, and innovative, market disruptions become more prevalent. Taking a cognition‐based approach, this paper proposes that customers identify with brands to satisfy self‐definitional needs. A social constructivist perspective, using an inductive and case study strategy, was used. Data generation was based on purposeful sampling, and participants were chosen on the basis of their “lived” experience with the use of smartphones. Four major themes were identified in the purchase of smartphones: identity, satisfaction, brand loyalty, and brand switching. Participants' views suggested that this provides them with a sense of purpose and meaning, defining who they are and why they behave in specified ways in society, which increases their self‐esteem. Brand switching occurs when customers are motivated to review available alternatives in the marketplace due to a change in competitive activities. Socially, switching occurs when a customer's belief in a brand is externally influenced within the social setting. When the boundary between the “in‐group” and the “out‐group” is impermeable and changing, group membership is not realistic; social mobility is not a viable strategy to cope with identity threats.

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Keywords

Z494, Z41, Z413

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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).
    30
    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 10%
    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%
Powered by OpenAIRE graph
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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!
30
Top 10%
Top 10%
Top 10%
Green
bronze