Nomenclature: E-Commerce Entry Models and Blockchain Impact on MNE Profits

A theoretical model dataset from figshare, created by Liurui Deng and last updated in May 2026. It examines the impact of tax disparities and blockchain technology on the profits of multinational enterprises (MNEs) operating through various e-commerce entry models. The dataset, 5.5 KB in size, is provided in an XLS file format.

Use Cases

• Modeling MNE profit outcomes based on different e-commerce entry models described in the paper.
• Analyzing the impact of tax disparity between high-tax and low-tax areas on supply chain profits.
• Evaluating the effectiveness of blockchain technology for quality verification across self-operated, FBP, and SOP merchant models.
• Studying the relationship between initial market potential, service gaps, and profitability under blockchain implementation.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is precisely 5.5 KB, indicating a compact, focused dataset.
• Metadata includes a specific last update timestamp: 2026-05-08 17:38:34.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is theoretical; the dataset likely contains model outputs or parameters rather than observed business data.

Provenance

Source

figshare, author Liurui Deng.

Collection Method

Likely generated from a theoretical two-tier supply chain model described in the associated paper.

Freshness

Last updated 2026-05-08 17:38:34; freshness should be verified.