Innovative Practice of Collaborative Education between Industry and Academia in Talent Cultivation in the Field of E-commerce Under the Background of Mass Entrepreneurship and Innovation
- DOI
- 10.2991/978-94-6463-490-7_28How to use a DOI?
- Keywords
- e-commerce; collaborative education between industry and academia; talent cultivation model
- Abstract
This study delves into the evolving demands on e-commerce talent in the “mass entrepreneurship and innovation” era, focusing on the synergy between academia and industry through internet-driven practices. It analyses e-commerce trends and the impact of internet technologies on required skills, proposing a framework for integrating internet operations in collaborative education. Through constructing practical teaching bases and developing faculty teams, the study employs multidimensional data analysis and empirical research to evaluate the efficacy of these innovative practices. Findings indicate significant enhancements in students’ internet technology capabilities, innovative application, and job market competitiveness, aligning education with industry needs. The research further outlines strategies for optimizing these practices, offering valuable insights for advancing collaborative education in e-commerce and related fields.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ye Wang PY - 2024 DA - 2024/08/31 TI - Innovative Practice of Collaborative Education between Industry and Academia in Talent Cultivation in the Field of E-commerce Under the Background of Mass Entrepreneurship and Innovation BT - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024) PB - Atlantis Press SP - 258 EP - 266 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-490-7_28 DO - 10.2991/978-94-6463-490-7_28 ID - Wang2024 ER -