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Exploration and Practice of the "BOLD" Model for International Business Talent Cultivation in the Context of the Digital Economy—Based on Visual Analysis of CiteSpace

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DOI: 10.23977/avte.2025.070127 | Downloads: 10 | Views: 431

Author(s)

Lou Jie 1, Liu Jianzhu 1

Affiliation(s)

1 School of Foreign Languages and Business, Shenzhen Polytechnic University, Shenzhen, China

Corresponding Author

Liu Jianzhu

ABSTRACT

The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has a strong demand for international business talents, but the increasingly complex global economic environment and the rapidly evolving digital technology make it urgent to reform the talent cultivation model. Based on the visualization analysis of research trends in international business talent cultivation using CiteSpace software and combined with years of teaching and practical experience in Shenzhen Polytechnic University, this paper proposes the "BOLD" talent cultivation model. Under the concept of "Business as the platform, Operation as the core, Language as the support, and Digit as the empowerment", this paper extracts the four core professional capabilities that international business talents need to possess in the new era: business skill, operational skill, language skill, and digital skill. The paper also explores the practice of BOLD model from two dimensions: collaboration among government, schools, enterprises, and industries, as well as comprehensive education through jobs, courses, contests, and certifications. The BOLD model can provide references for the talent cultivation of related majors in China and across the world. 

KEYWORDS

International Business, BOLD, Government-School-Enterprise-Industry Collaboration, Job -Course-Contest-Certification Integration, Digital Economy

CITE THIS PAPER

Lou Jie, Liu Jianzhu, Exploration and Practice of the "BOLD" Model for International Business Talent Cultivation in the Context of the Digital Economy—Based on Visual Analysis of CiteSpace. Advances in Vocational and Technical Education (2025) Vol. 7: 213-222. DOI: http://dx.doi.org/10.23977/avte.2025.070127.

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