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Academic Journal of Business & Management, 2023, 5(27); doi: 10.25236/AJBM.2023.052728.

A Proposed Framework of the Impact of Knowledge Management and Green Innovation on the Sustainable Development of Cross-Border E-Commerce Enterprises: The Moderating Role of Artificial Intelligence

Author(s)

Yufang Leng1,2, Chunrong Huang1, Renchao Lu1, Xinxiang Gao2, Ying Zou2

Corresponding Author:
Yufang Leng
Affiliation(s)

1Guangxi Wuzi School, Nanning, Guangxi, 530006, China

2Graduate School of Business, SEGI University, Kota Damansara, Selangor, 47810, Malaysia

Abstract

The sustainable development of cross-border e-commerce enterprises is influenced by a variety of factors, and this study focuses on three factors, knowledge management, green innovation and artificial intelligence. The theories that will be tested in this conceptual paper include the Resource-Based Theory, and the Sustainable Development Theory. This paper examines the relationship between these two theories and how each theory affects the sustainable development of cross-border e-commerce enterprises and investigates the importance of the independent variables in the conceptual framework. According to the "China Cross-border E-commerce market outlook and Investment Opportunities Research Report," Guangdong Province in China is the province with the largest number of cross-border e-commerce enterprises. Therefore, this study collects data on cross-border e-commerce enterprises in Guangdong Province. To test the hypotheses, quantitative methods and purposive sampling methods will be used. In addition, the data will be analyzed using SPSS and PLS-SEM.

Keywords

Knowledge Management, Green Innovation, Artificial intelligence, Sustainable Development, Cross-Border E-Commerce Enterprises

Cite This Paper

Yufang Leng, Chunrong Huang, Renchao Lu, Xinxiang Gao, Ying Zou. A Proposed Framework of the Impact of Knowledge Management and Green Innovation on the Sustainable Development of Cross-Border E-Commerce Enterprises: The Moderating Role of Artificial Intelligence. Academic Journal of Business & Management (2023) Vol. 5, Issue 27: 178-184. https://doi.org/10.25236/AJBM.2023.052728.

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