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A Statistical Approach to Assess Differences in Perception of Online Shopping
In recent years, online shopping has become a more accessible way of purchasing. In 2019, more than half Poles (53.9%) made this kind of shopping, and it can be assumed that this percentage will steadily be increasing. The speed, ease of making it, and very often lower prices than in stationery stor...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531989/ https://www.ncbi.nlm.nih.gov/pubmed/33042317 http://dx.doi.org/10.1016/j.procs.2020.09.176 |
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author | Pawełoszek, Ilona Bajdor, Paula |
author_facet | Pawełoszek, Ilona Bajdor, Paula |
author_sort | Pawełoszek, Ilona |
collection | PubMed |
description | In recent years, online shopping has become a more accessible way of purchasing. In 2019, more than half Poles (53.9%) made this kind of shopping, and it can be assumed that this percentage will steadily be increasing. The speed, ease of making it, and very often lower prices than in stationery stores undoubtedly influenced this type of shopping. However, as in the case of traditional shopping, also in the case of online shopping, there are many factors determining the perception of the online shopping quality level of services. However, the perception of the quality of service may vary depending on the criterion used. Thus, the purpose of the article is to identify significant differences in the perception of online shopping quality level, depending on online shopping frequency. Research conducted among the people who purchase via the Internet showed that there are many significant differences between the outlined groups. However, based on the tests, it is possible to carry out another isolation based on the same criterion. |
format | Online Article Text |
id | pubmed-7531989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75319892020-10-05 A Statistical Approach to Assess Differences in Perception of Online Shopping Pawełoszek, Ilona Bajdor, Paula Procedia Comput Sci Article In recent years, online shopping has become a more accessible way of purchasing. In 2019, more than half Poles (53.9%) made this kind of shopping, and it can be assumed that this percentage will steadily be increasing. The speed, ease of making it, and very often lower prices than in stationery stores undoubtedly influenced this type of shopping. However, as in the case of traditional shopping, also in the case of online shopping, there are many factors determining the perception of the online shopping quality level of services. However, the perception of the quality of service may vary depending on the criterion used. Thus, the purpose of the article is to identify significant differences in the perception of online shopping quality level, depending on online shopping frequency. Research conducted among the people who purchase via the Internet showed that there are many significant differences between the outlined groups. However, based on the tests, it is possible to carry out another isolation based on the same criterion. The Author(s). Published by Elsevier B.V. 2020 2020-10-02 /pmc/articles/PMC7531989/ /pubmed/33042317 http://dx.doi.org/10.1016/j.procs.2020.09.176 Text en © 2020 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Pawełoszek, Ilona Bajdor, Paula A Statistical Approach to Assess Differences in Perception of Online Shopping |
title | A Statistical Approach to Assess Differences in Perception of Online Shopping |
title_full | A Statistical Approach to Assess Differences in Perception of Online Shopping |
title_fullStr | A Statistical Approach to Assess Differences in Perception of Online Shopping |
title_full_unstemmed | A Statistical Approach to Assess Differences in Perception of Online Shopping |
title_short | A Statistical Approach to Assess Differences in Perception of Online Shopping |
title_sort | statistical approach to assess differences in perception of online shopping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531989/ https://www.ncbi.nlm.nih.gov/pubmed/33042317 http://dx.doi.org/10.1016/j.procs.2020.09.176 |
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