Numerical Simulation Parameters for E-Commerce Pricing Models

Parameter values from a two-period dynamic pricing game model analyzing e-commerce platform strategies. The dataset supports a study comparing commission-based and self-operated models under simultaneous and successive decision-making scenarios. It contains the simulation inputs for exploring the impact of consumer quality perception differences on pricing and profits.

Use Cases

• Calibrate a two-period dynamic pricing game model using the provided simulation parameters to replicate study findings.
• Analyze the relationship between the probability of consumers perceiving high-quality products and optimal pricing strategies for platforms and manufacturers.
• Compare profit outcomes across the four modeled scenarios: self-operated and commission-based models under simultaneous and successive decision-making.
• Validate the study's conclusion on platform model selection (commission-based vs. self-operated) based on decision-making sequence using the simulation data.

Strengths

• Data is directly tied to a published research model analyzing four specific operational scenarios.
• Simulation parameters are provided in an accessible XLS format (5.5 KB).
• Dataset is openly licensed under CC BY 4.0.

Limitations

• The dataset is very small (5.5 KB), indicating it contains only core model parameters, not extensive observational or transactional data.
• Contains only simulation inputs; actual output results or time-series data from the model runs are not included.
• Scope is limited to the specific theoretical constructs of the cited study, reducing generalizability.

Provenance

Source

figshare, authored by Bo Xie.

Collection Method

Parameters generated for a numerical simulation in an academic study.

Time Range

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Freshness

Last updated March 2026.

Geography

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