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Cited by 161

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Clicking the boredom away – Exploring impulse fashion buying behavior online

Open access
Sundström, Malin, Hjelm-Lidholm, Sara, Radon, Anita·2019·Journal of Retailing and Consumer Services

Abstract

This paper presents a Swedish case study focusing on online shopping and impulse purchases of fashion. The paper contributes by bringing new light on the bored-state-of-mind's importance in impulse shopping, and provides insights for further research to examine the topic on a greater scale. Results reveal that young consumers’ impulse purchases of fashion items online are often motivated by boredom, and described in two dimensions: 1) Consumers are often responding to triggers that can break monotony and 2) Boredom occurs in a contextualized totality. When consumers are bored they are easily triggered by stimulus like price, easy access, and free delivery, and it is perceived as easy to click the boredom away. It is suggested that retailers choose a strategy based on customer value and satisfaction, as there is a lot to win by stepping away from price competition and instead satisfy customers by providing an opportunity to become less bored.

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Registry

Crossref · 10.1016/j.jretconser.2018.11.006

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Metadata

Authors
Sundström, M., Hjelm-Lidholm, S., & Radon, A.
Venue
Journal of Retailing and Consumer Services
Publisher
Elsevier BV
Published
2019-03
Volume
47
Pages
150-156
ISSN
0969-6989 (ISSN-L)
OpenAlex
W2903108424
Cited by
161
References
3
FWCI
23.65
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Clicking the boredom away – Exploring impulse fashion buying behavior online. https://app.cochat.ai/papers/10.1016/j.jretconser.2018.11.006
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Sundström, M., Hjelm-Lidholm, S., & Radon, A. (2019). Clicking the boredom away – Exploring impulse fashion buying behavior online. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2018.11.006

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.