Author(s)

Kai Qu^*, YiMin Han, FenFen Ma, WenJie Yang

Affiliation(s)

School of Management, Yulin University, Yulin 719000, Shaanxi, China.

Corresponding Author

Kai Qu

ABSTRACT

Driven by the accelerated evolution of the digital economy and the construction of "New Business," data-intelligence disciplinary competitions have emerged as a critical vehicle for cultivating business talents with interdisciplinary integration capabilities, data-driven decision-making skills, and innovative practical literacy. This paper, grounded in multidimensional contexts including macroeconomic and social development, educational policy guidance, technological empowerment, and evaluation system reform, systematically reviews the literature on how data-intelligence competitions empower business talent cultivation. It thoroughly examines the positive impacts of such competitions on students' innovative thinking, interdisciplinary integration abilities, innovation and entrepreneurship literacy, and practical application skills. The study identifies several persistent challenges in the empowerment process, such as the disconnection between competitions and teaching, insufficient resource investment, weak faculty capacity, low student participation awareness, poor integration of professional and innovation-entrepreneurship education, and imperfect evaluation mechanisms. In response, this paper proposes a systematic and actionable optimization pathway and collaborative mechanism from three dimensions: optimizing competition systems and content design, innovating teaching models and curriculum systems, and improving support mechanisms and incentive policies. The aim is to effectively integrate competitions into the entire talent cultivation process, providing theoretical reference and practical guidance for cultivating high-quality business talents in the digital economy era.

KEYWORDS

Data intelligence; Disciplinary competitions; New business; Talent cultivation; Competition empowerment; Innovative practice

CITE THIS PAPER

Kai Qu, YiMin Han, FenFen Ma, WenJie Yang. The pathways and mechanisms of data-intelligence disciplinary competitions empowering business talent cultivation. World Journal of Educational Studies. 2026, 4(1): 46-52. DOI: https://doi.org/10.61784/wjes3128.

REFERENCES

[1] Peng Yan, Jie Wang, Yihong Rong, et al. Constructing Experimental a Practical Curriculum for Talent Training of E-Commerce. 2018.

[2] Vetnet. Trends in Vocational Education and Training Research, Vol. III. Proceedings of the European Conference on Educational Research (ECER), Vocational Education and Training Network (VETNET). 2020.

[3] Chen Yanli, Yu Xiaoqing, Lu Bibo. Analysis of Award-Winning Data in Artificial Intelligence Creative Discipline Competitions. Fujian Computer, 2023, 39(09): 14-17.

[4] Yi Quanyong, Wu Xiaoli, Luo Shengquan. Practical Dilemmas and Optimization Paths for Disciplinary Competitions Empowering Top Innovative Talent Cultivation. Research in Educational Development, 2024, 44(24): 9-19.

[5] Zhi-An Ren, Lingling Shen, Zejiong Zhou, et al. The Construction and Practice of Digital Economy Talents Training System Driven by the Combination of Disciplines and the Diversified Cooperation between Schools and Enterprises. 2022.

[6] Huang Shixiang, Li Ting, Liu Hongmei, et al. Research on the Construction Management of "Integration of Specialization and Innovation" Courses Based on the Goal of Cultivating Student Innovation Capability. Industry and Technology Forum, 2023, 22(24): 234-236.

[7] Guo Bin. Practical Research on Empowering Innovative Talent Cultivation through Disciplinary Competitions. Materials on Literature and Education, 2024(13): 152-154+163.

[8] Zhi-Xia Zhou, Zhihong Zhou, Zi-Yan Pei, et al. Research on Innovation and Entrepreneurship Education System under the New Business Background. 2019.

[9] Di Yao, Ying Qiu, Xiuji Zhou, et al. The Characteristics and Practices of Economics and Management Talents Training in Beijing Institute of Petrochemical Technology. 2025, 15: 562.

[10] Zhang Jing. Artificial Intelligence Empowers Teaching Innovation in New Economics and Management Courses for Financial Technology. China Venture Capital, 2024(24): 10-12.

[11] Juan Zhang. Innovative Practice of Smart Education under the Background of Digital-Commerce Empowerment of Agriculture: AI Integration Approach in E-commerce Data Analysis Course. 2025: 572.

[12] Ren You, Chaofan Zhao, Yuxin Zhang, et al. The Core Role and Practical Pathways of Academic Competitions in the Undergraduate New Business Education Cultivation System. 2025, 12: 150.

[13] Xi Heng, Yan Wang, Rui Wu, et al. Analysis on the Construction Paths of Business Administration in the Digital Economy. 2021, 15: 134.

[14] Yangqing Zhu. Study on Basic Education of University Computer Based on Innovation Curriculum. Advances in Social Science, Education and Humanities Research, 2016.

[15] Huang Qunyi, Fu Haiying, Wang Yilin. Research on Innovative Practical Teaching Models Empowered by Disciplinary Competitions for Multi-disciplinary Collaboration. Education and Teaching Forum, 2022(33): 41-44.