SHS Web Conf.
Volume 181, 20242023 International Conference on Digital Economy and Business Administration (ICDEBA 2023)
|Number of page(s)
|Digital Transformation and Emerging Technologies
|17 January 2024
Research on the Cultivation of Business English Talents for the Regional Digital Economic Development
Business English, School of Foreign Languages, Zhejiang Gongshang University Hangzhou College of Commerce, 311500 Hangzhou, Zhejiang, China
* Corresponding author: email@example.com
With the rapid development of the digital economy, the demand for language talents has increased significantly, especially for Business English majors. However, the traditional talent cultivation model has failed to keep up with the needs of regional digital economic development. This research aims to explore a suitable path for cultivating language talents to empower regional digital economic development through language services. Firstly, the current state of regional digital economic development and the demand for language talents are analysed. It is found that there is a mismatch between talent supply and demand, which hinders the development of regional digital economic industries. Next, the research reviews the existing talent cultivation models and identifies their limitations. The traditional language education focuses on language proficiency without addressing the specific needs of the digital economy. Lastly, the research provides suggestions for improving the talent cultivation system, including curriculum reform, industry-academia collaboration, and internships in language service companies. The research proposes an innovative cultivation path for business English talents, which combines language proficiency, digital skills, and industry-specific knowledge, aiming to meet the needs of the rapidly evolving digital economy.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.