Cross-border electronic commerce’s new path:from literature review to AI text generation  

作　　者：Qing Zhu Yinglin Ruan Shan Liu Sung-Byung Yang Lin Wang Jianhua Che 

机构地区：[1]International Business School,Shaanxi Normal University,Xi’an,710061,China [2]School of Management,Xi’an Jiaotong University,Xi’an,710049,China [3]School of Management,Kyung Hee University,26 Kyungheedae-ro,Dongdaemun-gu,Seoul,02447,South Korea [4]School of Management,Huazhong University of Science&Technology,Wuhan,430074,China

出　　处：《Data Science and Management》2023年第1期21-33,共13页数据科学与管理（英文）

基　　金：supported by the National Natural Science Foundation(NSFC)Programs of China(Grant Nos.:72011540408 and 72032006);the National Research Foundation of Korea(Grant No.:NRF-2020K2A9A2A06069972);the support of the Youth Innovation Team of Shaanxi Universities“Big data and Business Intelligent Innovation Team”and Shaanxi Superiority Funding Project for Scientific and Technological Activities of Overseas Scholars(Grant No.:2018017).

摘　　要：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.

关 键 词：Cross-border e-commerce Literature review Platform Risk management Text generation 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]