Dynamic Pricing Recognition on E-Commerce Platforms with VAR Processes

Author:

Faehnle Alexander,Guidolin MariangelaORCID

Abstract

In an environment such as e-commerce, characterized by the presence of numerous agents, competition based on product characteristics is a very important aspect. This paper proposes a model based on vector autoregressive processes (VAR) and Lasso penalization to detect and examine the dynamics that govern real-time price competition in electronic marketplaces. Employing this model, an empirical study was performed on the price trends of smartphone models on the major electronic sales platforms of the Italian market. The proposed model detects real-time price variations in single vendors, based on the variations of their direct competitors. The statistical method adopted in this analysis may be useful for e-commerce companies that conduct market analyses of competitors’ pricing strategies.

Funder

Università degli Studi di Padova

Publisher

MDPI AG

Reference19 articles.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic Pricing in E-commerce: Bibliometric Analysis;Acta Informatica Pragensia;2024-04-15

2. Dynamic Pricing: Trends, Challenges and New Frontiers;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

3. Towards Practical, Serverless, Cost-effective, Real-time Pricing for Retail E-Commerce;2023 4th International Conference on Communication, Computing and Industry 6.0 (C216);2023-12-15

4. A novel weight-optimized LSTM for dynamic pricing solutions in e-commerce platforms based on customer buying behaviour;Soft Computing;2023-06-21

5. Information asymmetry evaluation in hotel E-commerce market: Dynamics and pricing strategy under pandemic;Information Processing & Management;2023-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3