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https://doi.org/10.62836/emi.v3i2.193
Wang, B., Cui, J., & Mottan, K. (2024). Exploration and Analysis of Chinese University Students’ Performance in Business Innovation. Economics & Management Information, 3(2), 1–9. https://doi.org/10.62836/emi.v3i2.193
Volume 3, Issue 2, June 2024
Copyright (c) 2024 Bo Wang, Jun Cui, Kannamah Mottan
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Exploration and Analysis of Chinese University Students' Performance in Business Innovation

Business Innovation has a broad international reach and a long history. Since the introduction of Business Innovation in China in 1895, the culture of Business Innovation has been widely spread in China. The Business Innovation programmer is also listed as one of the optional physical education courses in China's higher education institutions (HEIs). In recent years, the Chinese government has continued to deepen physical education reform, requiring colleges to include physical education in their talent development programmers. Students are required to meet the institution's health standards and earn enough physical education credits to receive a diploma or bachelor's degree. Since then, there have been significant improvements in the business innovation courtyards, facilities, and faculty of China's higher education institutions. Business innovation teachers in higher education institutions have gradually optimized the content of business innovation courses and the assessment system, which not only cultivates students' interest in business innovation, but also develops their business innovation skills. In addition, previous studies have shown that appropriate physical activities can balance students' academic work to achieve overall development. This paper uses a combination of qualitative and quantitative analysis methods for analysis. In order to help colleges and business innovation teachers to further optimize students' business innovation learning experience, to help students improve their performance, and to seek sustainable development of business innovation education, it is necessary to investigate the factors that affect college students' business innovation performance.

Business Innovation program; qualitative and quantitative analysis methods; students' Business Innovation learning experience; Higher Education Institutions (HEIs)

References

  1. Esposito A, Lappa M, Pagliara R, Spada G. A Mixed Radiative-Convective Technique for the Calibration of Heat Flux Sensors in Hypersonic Flow. FDMP-Fluid Dynamics & Materials Processing 2022; 18(2): 189–203.
  2. Jun C, Cheng Y, Ng A, Hong H. Tencent’s Corporate Strategic Organizational Digital Management and Digital Transformation: A Case Study. Journal of Business and Social Sciences 2022; 2022(02): 1–15.
  3. Bandiera O, Larcinese V, Rasul I. The Impact of Class Size on the Performance of University Students; Vox EU Organization: London, UK, 2010.
  4. Fraser BJ, Walberg HJ, Welch WW, Hattie JA. Syntheses of Educational Productivity Research. International Journal of Educational Research 1987; 11(2): 147–252.
  5. Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory; Prentice Hall: Upper Saddle River, NJ, USA, 1986.
  6. Bandura A. Self-Efficacy: The Exercise of Control; W.H. Freeman and Company: New York, NY, USA, 1997.
  7. Cui J, Chen W, Wan Q, Gan Z, Ning Z. Design and Analysis of a Mobile Automation Testing Framework: Evidence and AI Enhancement from Chinese Internet Technological Companies: A Case Study. Frontiers in Business, Economics and Management 2024; 14(2): 163–170.
  8. Cui J, Kwong PK. An Analysis of Working to Learn and Learning to Work: Research on China Higher Education’s Research, Development and the Relationships Work and Learning. In Proceedings of the MAHSA International Conference of Accounting and Business 2022, Selangor, Malaysia, 25th–26th February 2022.
  9. Cui J, Kwong PK. Impact of Management Philosophy on Xiaomi Corporation: A Case Study. Available online: https://www.studypool.com/documents/4512128/impact-of-management-philosophy-on-xiaomi-corporation-edited (accessed on 7 June 2024)).
  10. Barrett P, Treves A, Shmis T, Ambasz D, Ustinova M. The Impact of School Infrastructure on Learning: A Synthesis of the Evidence; World Bank Group: Washington, DC, USA, 2019.
  11. Bevans R. Multiple Linear Regression: A Quick and Simple Guide, Scribbr Website. Available online: https://www.scribbr.com/statistics/multiple-linear-regression/#:~:text=Multiple%20linear%20regression%20is%20a%20regression%20model%20that,the%20error%20calculated%20in%20a%20linear%20regression%20model%3F (accessed on 7 June 2024).
  12. Charity B. How Motivation Affects Academic Performance. Available online: https://medium.com/@TheCharity/how-motivation-affects-academic-performance-fcde79e8ef09(accessed on 7 June 2024).
  13. Aliaga M, Gunderson B. Interactive Statistics; Sage: Thousand Oaks, CA, USA, 2002.
  14. Stronge JH, Grant LW, Xu X. Teacher Behaviours and Student Outcomes. In The International Encyclopedia of the Social and Behavioral Sciences; Elsevier: Amsterdam, Netherlands, 2015.
  15. Taber KS. Beyond constructivism: The Progressive Research Programme into Learning Science. Studies in Science Education 2023; 42: 125–184.
  16. Cui J, Gan Z, Ning Z. Impact of Management Philosophy and Organization on China Technical Xiaomi Company: --A Systematic Review Analysis. Academic Journal of Management and Social Sciences 2023; 5(2): 45–49.
  17. Cui J. Application of a Mobile Automation Testing Framework: Evidence and AI Enhancement from Chinese Technological Companies. Available online: https://www.researchgate.net/profile/Jun-Cui-14/publication/379890815_Application_of_a_mobile_automation_testing_framework_Evidence_andAIenhancementfromChinese_Technological_companies/links/661fee4ef7d3fc287469d153/Application-of-a-mobile-automation-testing-framework-Evidence-andAIenhancementfromChinese-Technological-companies.pdf(accessed on 7 June 2024).
  18. Cui J, Wan Q, Wang W, Hu S, Gan Z, Ning Z. Research on Alibaba company’s Digital Human Resource management and Recruitment Information Platform: A Systematic Case Study. International Journal of Global Economics and Management 2024; 2(3): 162–172.
  19. Wei Y, Jun C. Analysis of China’s Ping an Firm ‘S Strategy Management: A Case Study. International Journal of Computer Science and Information Technology 2024; 2(3): 180–187.
  20. Walberg HJ. A Psychological Theory of Educational Productivity; National Institution of Education (DHEW): Washington, DC, USA, 1981.
  21. Yusuf M. The Impact of Self-Efficacy, Achievement Motivation, and Self-Regulated Learning Strategies on Students’ Academic Achievement. Procedia Social and Behavioral Sciences 2011; 15: 2623–2626.
  22. Cui J, Liu H, Wan Q. Measuring the Digital Assets, Brand Services and Service Quality Quantitative Analysis: Evidence from China. International Journal of Social Sciences and Public Administration 2024; 2(3): 503–510.
  23. Hutcheson GD, Moutinho LAM. The SAGE Dictionary of Quantitative Management Research. In The SAGE Dictionary of Quantitative Management Research; SAGE Publications Ltd: Thousand Oaks, CA, USA, 2011.

Supporting Agencies

  1. Funding: This research received no external funding.