| Autor: |
Qing Zhu, Yinglin Ruan, Shan Liu, Sung-Byung Yang, Lin Wang, Jianhua Che |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Data Science and Management, Vol 6, Iss 1, Pp 21-33 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2666-7649 |
| DOI: |
10.1016/j.dsm.2022.12.001 |
| Popis: |
Digitization, informatization, and Internet penetration have led to a significant rise in cross-border e-commerce (CBEC), attracting considerable interest from academia, government, and industry. This study employed a novel method combining automatic text generation technology and traditional bibliometric analysis to summarize and categorize the research on CBEC evolution from 2000 to 2021. Articles were selected and examined with a focus on four dimensions: customer, risk, supply chain, and platform. Contradictions in these dimensions were found to result in two major obstacles to CBEC development, namely, dataset sharing and platform scalability. These obstacles prevent research on cross-border platforms from moving beyond theory-based studies. Further research needs to examine how soft computing can be used to accelerate and remodel the global trade ecosystem. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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