Does the price protection policy work? Research on purchasing behavior of strategic consumers on e-commerce platform

Purpose This study aims to investigate the impact of price protection policies on sellers’ pricing and profits on e-commerce platforms, and to analyze the effectiveness of these policies under different scenarios. The goal is to provide sellers with a basis for their pricing strategies and assist them in deciding whether to implement price protection policies. Design/methodology/approach This paper constructs a two-period choice model by using the concept of rational expectations equilibrium, and analyzes factors such as the purchase decisions of strategic consumers, demand and seller profits. The research method includes a profit comparison under four scenarios: the benchmark scenario (B), considering only network externalities (N), considering only price protection policies (P) and considering both network externalities and price protection policies (NP). Findings By comparing profits across different scenarios, the study finds that price protection policies positively affect sellers’ pricing and profits under specific conditions. The study identifies the conditions under which price protection policies are effective. Research limitations/implications The limitations of this study lie in considering only four scenarios. Future research could expand to include more variables, such as other consumer behavior patterns. Practical implications The findings offer valuable insights for e-commerce platform sellers in formulating pricing strategies and implementing price protection policies. Originality/value The originality of this paper lies in considering strategic consumers and network externalities. It fills a research gap in the field of e-commerce pricing.

Authors

Institutions

Publication Details

Journal
Journal of Modelling in Management
Published
2026-02-18
DOI
https://doi.org/10.1108/jm2-06-2025-0286
Primary Topic
Digital Platforms and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does the price protection policy work? Research on purchasing behavior of strategic consumers on e-commerce platform

Jun Wang, Lu Xiao, Chaodong Liu
Journal of Modelling in Management
Digital Platforms and Economics
article

Does the price protection policy work? Research on purchasing behavior of strategic consumers on e-commerce platform

Jun Wang, Lu Xiao, Chaodong Liu
article en

Abstract

Purpose This study aims to investigate the impact of price protection policies on sellers’ pricing and profits on e-commerce platforms, and to analyze the effectiveness of these policies under different scenarios. The goal is to provide sellers with a basis for their pricing strategies and assist them in deciding whether to implement price protection policies. Design/methodology/approach This paper constructs a two-period choice model by using the concept of rational expectations equilibrium, and analyzes factors such as the purchase decisions of strategic consumers, demand and seller profits. The research method includes a profit comparison under four scenarios: the benchmark scenario (B), considering only network externalities (N), considering only price protection policies (P) and considering both network externalities and price protection policies (NP). Findings By comparing profits across different scenarios, the study finds that price protection policies positively affect sellers’ pricing and profits under specific conditions. The study identifies the conditions under which price protection policies are effective. Research limitations/implications The limitations of this study lie in considering only four scenarios. Future research could expand to include more variables, such as other consumer behavior patterns. Practical implications The findings offer valuable insights for e-commerce platform sellers in formulating pricing strategies and implementing price protection policies. Originality/value The originality of this paper lies in considering strategic consumers and network externalities. It fills a research gap in the field of e-commerce pricing.

Journal of Modelling in Management
Jiangsu University (CN), Jiangsu University of Science and Technology (CN)
Openalex Percentile: Top 53%
Digital Platforms and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.