Zhouyang Liang
Wake up and search for coffee: Considering the circadian rhythm of consumers on online marketplaces
Liang, Zhouyang; Angelopoulos, Spyros; Zuo, Meihua; Ou, Carol X J
Authors
Dr Spyros Angelopoulos spyros.angelopoulos@durham.ac.uk
Professor in Business Analytics
Meihua Zuo
Carol X J Ou
Abstract
Online marketplaces are characterised by rapid product updates and understanding consumer variety-seeking behaviour (VSB) is paramount for brands operating in this landscape. The literature, however, has fallen short of considering that consumers' optimal stimulation level (OSL) may vary based on their degree of stimulus-response to the heterogeneity of circadian rhythm. We draw upon the OSL theory and delve into the interplay between VSB and circadian rhythm heterogeneity, uncovering patterns and their relationship for data-driven decision-making. By employing real-world data from an online marketplace, we reveal that VSB peaks in the early mornings, while gradually tapering off. We also find that older consumers exhibit heightened VSB in the afternoons and early mornings compared to younger ones. Conversely, during the evenings, males display greater VSB than females. Our findings contradict existing theoretical intuition and contemporary industry practices, while by considering them, brands can gain a competitive advantage on online marketplaces.
Citation
Liang, Z., Angelopoulos, S., Zuo, M., & Ou, C. X. J. (2024). Wake up and search for coffee: Considering the circadian rhythm of consumers on online marketplaces. Journal of Business Research, 184, Article 114901. https://doi.org/10.1016/j.jbusres.2024.114901
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 12, 2024 |
Online Publication Date | Aug 16, 2024 |
Publication Date | 2024-11 |
Deposit Date | Aug 15, 2024 |
Publicly Available Date | Feb 17, 2026 |
Journal | Journal of Business Research |
Print ISSN | 0148-2963 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 184 |
Article Number | 114901 |
DOI | https://doi.org/10.1016/j.jbusres.2024.114901 |
Keywords | Consumer heterogeneity; Circadian rhythm; Variety-seeking behaviour; Transaction records; Hierarchical Bayesian Model 2 |
Public URL | https://durham-repository.worktribe.com/output/2755631 |
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