Cargando…
Factors affecting online shopping frequency: lessons from New Zealand
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 fact...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066143/ https://www.ncbi.nlm.nih.gov/pubmed/35530172 http://dx.doi.org/10.1007/s43546-022-00214-5 |
_version_ | 1784699742711709696 |
---|---|
author | Ma, Wanglin Gan, Christopher Vatsa, Puneet Yang, Wei Zheng, Hongyun |
author_facet | Ma, Wanglin Gan, Christopher Vatsa, Puneet Yang, Wei Zheng, Hongyun |
author_sort | Ma, Wanglin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9066143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-90661432022-05-04 Factors affecting online shopping frequency: lessons from New Zealand Ma, Wanglin Gan, Christopher Vatsa, Puneet Yang, Wei Zheng, Hongyun SN Bus Econ Original Article 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. Springer International Publishing 2022-05-04 2022 /pmc/articles/PMC9066143/ /pubmed/35530172 http://dx.doi.org/10.1007/s43546-022-00214-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Ma, Wanglin Gan, Christopher Vatsa, Puneet Yang, Wei Zheng, Hongyun Factors affecting online shopping frequency: lessons from New Zealand |
title | Factors affecting online shopping frequency: lessons from New Zealand |
title_full | Factors affecting online shopping frequency: lessons from New Zealand |
title_fullStr | Factors affecting online shopping frequency: lessons from New Zealand |
title_full_unstemmed | Factors affecting online shopping frequency: lessons from New Zealand |
title_short | Factors affecting online shopping frequency: lessons from New Zealand |
title_sort | factors affecting online shopping frequency: lessons from new zealand |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066143/ https://www.ncbi.nlm.nih.gov/pubmed/35530172 http://dx.doi.org/10.1007/s43546-022-00214-5 |
work_keys_str_mv | AT mawanglin factorsaffectingonlineshoppingfrequencylessonsfromnewzealand AT ganchristopher factorsaffectingonlineshoppingfrequencylessonsfromnewzealand AT vatsapuneet factorsaffectingonlineshoppingfrequencylessonsfromnewzealand AT yangwei factorsaffectingonlineshoppingfrequencylessonsfromnewzealand AT zhenghongyun factorsaffectingonlineshoppingfrequencylessonsfromnewzealand |