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Pricing Analysis of Online Shopping Platforms Considering Consumer Information Levels
To address the problem of frequent dishonest transactions by online shopping platform merchants, we developed monopoly and competitive platform pricing models based on two-sided market theory, which introduce consumer information levels. This article analyzes the incentives of the platforms to impro...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979778/ https://www.ncbi.nlm.nih.gov/pubmed/35391950 http://dx.doi.org/10.3389/fpsyg.2022.821979 |
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author | Chen, Hao Xiong, Weiqing Xiong, Peichen |
author_facet | Chen, Hao Xiong, Weiqing Xiong, Peichen |
author_sort | Chen, Hao |
collection | PubMed |
description | To address the problem of frequent dishonest transactions by online shopping platform merchants, we developed monopoly and competitive platform pricing models based on two-sided market theory, which introduce consumer information levels. This article analyzes the incentives of the platforms to improve consumer information levels in platform pricing strategies. Monopoly online shopping platforms aim to maximize profits. The higher the consumer information level is, the lower the fees charged to merchants; this can lead to increased platform profits. The charging of consumers depends on cross-network externalities. Competitive online shopping platforms also aim at maximizing profits. Under the circumstance that the number of consumers remains the same, the higher the consumer information level is, the more merchants the platforms will attract. This reduces bilateral user fees, and platform profits will be lower. From the perspective of consumer information level, the article analyzes the impact of monopoly and competitive platforms adopting return measures to improve the level of consumer information on platform pricing, number of bilateral users, and profits. |
format | Online Article Text |
id | pubmed-8979778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89797782022-04-06 Pricing Analysis of Online Shopping Platforms Considering Consumer Information Levels Chen, Hao Xiong, Weiqing Xiong, Peichen Front Psychol Psychology To address the problem of frequent dishonest transactions by online shopping platform merchants, we developed monopoly and competitive platform pricing models based on two-sided market theory, which introduce consumer information levels. This article analyzes the incentives of the platforms to improve consumer information levels in platform pricing strategies. Monopoly online shopping platforms aim to maximize profits. The higher the consumer information level is, the lower the fees charged to merchants; this can lead to increased platform profits. The charging of consumers depends on cross-network externalities. Competitive online shopping platforms also aim at maximizing profits. Under the circumstance that the number of consumers remains the same, the higher the consumer information level is, the more merchants the platforms will attract. This reduces bilateral user fees, and platform profits will be lower. From the perspective of consumer information level, the article analyzes the impact of monopoly and competitive platforms adopting return measures to improve the level of consumer information on platform pricing, number of bilateral users, and profits. Frontiers Media S.A. 2022-03-21 /pmc/articles/PMC8979778/ /pubmed/35391950 http://dx.doi.org/10.3389/fpsyg.2022.821979 Text en Copyright © 2022 Chen, Xiong and Xiong. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Chen, Hao Xiong, Weiqing Xiong, Peichen Pricing Analysis of Online Shopping Platforms Considering Consumer Information Levels |
title | Pricing Analysis of Online Shopping Platforms Considering Consumer Information Levels |
title_full | Pricing Analysis of Online Shopping Platforms Considering Consumer Information Levels |
title_fullStr | Pricing Analysis of Online Shopping Platforms Considering Consumer Information Levels |
title_full_unstemmed | Pricing Analysis of Online Shopping Platforms Considering Consumer Information Levels |
title_short | Pricing Analysis of Online Shopping Platforms Considering Consumer Information Levels |
title_sort | pricing analysis of online shopping platforms considering consumer information levels |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979778/ https://www.ncbi.nlm.nih.gov/pubmed/35391950 http://dx.doi.org/10.3389/fpsyg.2022.821979 |
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