Factors affecting online shopping frequency: lessons from New Zealand.

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dc.citation.issue6
dc.citation.volume2
dc.contributor.authorMa W
dc.contributor.authorGan C
dc.contributor.authorVatsa P
dc.contributor.authorYang W
dc.contributor.authorZheng H
dc.coverage.spatialSwitzerland
dc.date.accessioned2025-02-10T20:17:42Z
dc.date.available2025-02-10T20:17:42Z
dc.date.issued2022-05-04
dc.description.abstractDuring the COVID-19 pandemic lockdown, the number of people shopping online has increased worldwide, and New Zealand is no exception. To date, little is known about the online shopping behaviours of New Zealanders in a pandemic environment. This paper provides the first attempt by exploring the factors affecting online shopping frequency in New Zealand, a country widely regarded as a paragon of excellence for containing the COVID-19 pandemic. A Poisson regression model is utilized to analyze data collected through an online survey between July and November 2020. The empirical results show that people's online shopping frequency is positively affected by payment convenience, competitive pricing, living in the city, and the number of children. The perceived effectiveness of the government's action in combating COVID-19, having poor past online shopping experiences, and being married reduce online shopping frequency.
dc.description.confidentialfalse
dc.edition.editionJune 2022
dc.format.pagination41-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/35530172
dc.identifier.citationMa W, Gan C, Vatsa P, Yang W, Zheng H. (2022). Factors affecting online shopping frequency: lessons from New Zealand.. SN Bus Econ. 2. 6. (pp. 41-).
dc.identifier.doi10.1007/s43546-022-00214-5
dc.identifier.eissn2662-9399
dc.identifier.elements-typejournal-article
dc.identifier.issn2662-9399
dc.identifier.number41
dc.identifier.pii214
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72471
dc.languageeng
dc.publisherSpringer Nature
dc.publisher.urihttp://link.springer.com/article/10.1007/s43546-022-00214-5
dc.relation.isPartOfSN Bus Econ
dc.rights(c) 2022 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCOVID-19
dc.subjectNew Zealand
dc.subjectOnline shopping
dc.subjectPoisson regression
dc.titleFactors affecting online shopping frequency: lessons from New Zealand.
dc.typeJournal article
pubs.elements-id499534
pubs.organisational-groupOther
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