A two-sided matching model in the context of B2B export cross-border e-commerce
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Cross-border electronic commerce plays an increasingly key role in international trades, which has become the focus of concern in both academia and industry. However, how to better match overseas demanders and domestic suppliers is still a question for business-to-business export agent. To achieve a steady state, in this study, we apply the two-sided matching method to business-to-business export cross-border electronic commerce context based on the satisfaction of different stakeholders, i.e., sellers, buyers, platforms, and third-party service providers. The satisfaction degree is based on a series of indicators extracted from the prior literature. By incorporating both the linguistic and interval assessment information, we theoretically build an optimization model to match the two sides: overseas demanders and domestic suppliers. Then we empirically illustrate the feasibility and performance of the model through the numerical simulations. The operation mechanisms and managerial guidelines for the two-sided matching in business-to-business export cross-border e-commerce are presented. Our study makes contributions in both theory and practice.
KeywordsCross-border e-commerce Two-sided matching Overseas demander Domestic supplier Business-to-business export
This study was financially supported by National Natural Science Foundation of China (71771184), China Postdoctoral Science Foundation (2019M650035), Chinese Fundamental Research Funds for Central Universities (JB180602), and China Scholarship Council.
Compliance with ethical standards
Conflict of interest
The authors state that they have no conflict of interest.
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