Title: Selection of cross-border e-commerce import mode based on AHP algorithm

Authors: Guozhang Li; Xue Wang; Yetong Wang

Addresses: College of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, 571126, Hainan, China; Public Teaching Department, Hainan Vocational University of Science and Technology, Haikou, 571126, Hainan, China ' College of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, 571126, Hainan, China ' College of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, 571126, Hainan, China

Abstract: In this paper, data intelligence and analytic hierarchy process (AHP) algorithm were used to propose a new method for selecting import and export EC import modes, and simulation experiments were conducted to compare the differences in work efficiency and profit earning ability between import and export EC enterprises using this method and import and export EC enterprises not using this method. Finally, it was concluded that the capabilities of import and export EC enterprises using this method had increased by about 15.9% compared with those of enterprises not using this method. However, due to the lack of uniform standards for trade data in various regions, it still needs time to promote the intelligent development of import and export EC import mode selection.

Keywords: cross-border e-commerce; AHP algorithm; data intelligence; machine learning; import and export EC import mode.

DOI: 10.1504/IJNVO.2025.151506

International Journal of Networking and Virtual Organisations, 2025 Vol.33 No.3, pp.208 - 223

Received: 12 May 2025
Accepted: 03 Nov 2025
Published online: 03 Feb 2026 *

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