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Biplot analysis: a study of the change of customer behaviour on e-commerce

COVID-19 pandemic affected many aspects in global life, the one of aspect is e-commerce. The COVID-19 pandemic changes the general society into having a more consumptive behavior. This research is conducted to identify whether there is a difference in mean/average sales between the period before the...

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Autores principales: Nariswari, Rinda, Prakoso, Teddy Satrio, Hafiz, Naufal, Pudjihastuti, Herena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829417/
https://www.ncbi.nlm.nih.gov/pubmed/36643179
http://dx.doi.org/10.1016/j.procs.2022.12.165
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author Nariswari, Rinda
Prakoso, Teddy Satrio
Hafiz, Naufal
Pudjihastuti, Herena
author_facet Nariswari, Rinda
Prakoso, Teddy Satrio
Hafiz, Naufal
Pudjihastuti, Herena
author_sort Nariswari, Rinda
collection PubMed
description COVID-19 pandemic affected many aspects in global life, the one of aspect is e-commerce. The COVID-19 pandemic changes the general society into having a more consumptive behavior. This research is conducted to identify whether there is a difference in mean/average sales between the period before the COVID-19 pandemic and during the COVID-19 pandemic. This paper used T-Test Paired Samples to analyze the difference of behavior's customer of some e-commerce in Indonesia. Biplot analysis is also used to give visualization of the behavior's change caused by the COVID-19 pandemic. Six variables are used in this paper and purposive sampling is selected to get a sample size. We use 63 respondents are eligible to fulfill the questionnaire. The T-Test paired samples resulted that there is a difference in mean sales for the service or online products, food and beverages, electronics, and cosmetics and skincare. Those aspects are evidence that COVID-19 pandemic could change the customer behavior in E-Commerce. We also illustrate the change of customer behavior through biplot
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spelling pubmed-98294172023-01-10 Biplot analysis: a study of the change of customer behaviour on e-commerce Nariswari, Rinda Prakoso, Teddy Satrio Hafiz, Naufal Pudjihastuti, Herena Procedia Comput Sci Article COVID-19 pandemic affected many aspects in global life, the one of aspect is e-commerce. The COVID-19 pandemic changes the general society into having a more consumptive behavior. This research is conducted to identify whether there is a difference in mean/average sales between the period before the COVID-19 pandemic and during the COVID-19 pandemic. This paper used T-Test Paired Samples to analyze the difference of behavior's customer of some e-commerce in Indonesia. Biplot analysis is also used to give visualization of the behavior's change caused by the COVID-19 pandemic. Six variables are used in this paper and purposive sampling is selected to get a sample size. We use 63 respondents are eligible to fulfill the questionnaire. The T-Test paired samples resulted that there is a difference in mean sales for the service or online products, food and beverages, electronics, and cosmetics and skincare. Those aspects are evidence that COVID-19 pandemic could change the customer behavior in E-Commerce. We also illustrate the change of customer behavior through biplot The Author(s). Published by Elsevier B.V. 2023 2023-01-10 /pmc/articles/PMC9829417/ /pubmed/36643179 http://dx.doi.org/10.1016/j.procs.2022.12.165 Text en © 2022 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
Nariswari, Rinda
Prakoso, Teddy Satrio
Hafiz, Naufal
Pudjihastuti, Herena
Biplot analysis: a study of the change of customer behaviour on e-commerce
title Biplot analysis: a study of the change of customer behaviour on e-commerce
title_full Biplot analysis: a study of the change of customer behaviour on e-commerce
title_fullStr Biplot analysis: a study of the change of customer behaviour on e-commerce
title_full_unstemmed Biplot analysis: a study of the change of customer behaviour on e-commerce
title_short Biplot analysis: a study of the change of customer behaviour on e-commerce
title_sort biplot analysis: a study of the change of customer behaviour on e-commerce
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829417/
https://www.ncbi.nlm.nih.gov/pubmed/36643179
http://dx.doi.org/10.1016/j.procs.2022.12.165
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