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Published VersionCC BY V4.0, Open Access
Journal article
Factors affecting online shopping frequency: lessons from New Zealand
SN Business & Economics, Vol.2, pp.1-10
2022
PMCID: PMC9066143
PMID: 35530172
Appears in COVID-19 Research
Abstract
During 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.
Details
- Title
- Factors affecting online shopping frequency: lessons from New Zealand
- Authors
- Wanglin Ma (Corresponding Author) - Lincoln UniversityChristopher Gan - Lincoln UniversityPuneet Vatsa - Lincoln UniversityWei Yang - Lincoln UniversityHongyun Zheng - Huazhong Agricultural University
- Publication details
- SN Business & Economics, Vol.2, pp.1-10
- Publisher
- Springer
- Date published
- 2022
- DOI
- 10.1007/s43546-022-00214-5
- ISSN
- 2662-9399
- PMID
- 35530172; PMC9066143
- Copyright note
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third-party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Data Availability
- The data and material supporting this study’s fndings are available from the last author, Hongyun Zheng, upon reasonable request.
- Organisation Unit
- School of Business and Creative Industries
- Language
- English
- Record Identifier
- 991148739802621
- Output Type
- Journal article
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