Research on Innovation and Entrepreneurship Approach in Universities Based on Large Data

Innovation and Entrepreneurship


  • Li Maoning Xi An Jiao Tong Univ, City Coll, Xian, Shaanxi, Peoples R China 710018



Large data, higher education, innovative entrepreneurship, cloud platform


The development of computer technology has promoted the processing technology of large data, meanwhile, the upsurge of college students’ innovation and entrepreneurship has also been promoted. Therefore, it is very meaningful to study the way of innovation and entrepreneurship by using large data technology. Firstly, the research status and development trend of innovation entrepreneurship are analyzed. The development of large data is introduced, and then the coupling point of innovative entrepreneurship and Internet technology is analyzed, and the large data algorithm suitable for the research of innovative startups is designed. Finally, by using the distributed Blackboard Control algorithm in the large data technology, the innovation and entrepreneurship approach of university is analyzed. Through experimental analysis and verification, the proposed improved large data technology, compared to other algorithms, in some performance has a certain advantage.


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Chen S. Construction of Evaluation Index System of Innovation and Entrepreneurship in Local Colleges and Universities[J]. Journal of Biological Chemistry, 2016, 275(27):20748–53.

Humphries B, Kaplan R, Alves M. The Role of Entrepreneurial Leadership andInnovation in the Future of TherapeuticDermatology[J]. Journal of Investigative Dermatology, 2016, 136(12):2330–2333.

Mian S. Academy Driven Innovative Entrepreneurship: Empirical Research on the Evolving Role of Incubation Mechanisms[J]. Journal of the American Geriatrics Society, 2016, 52(10):1768–70.

Polzin F. Mobilizing private finance for low-carbon innovation – A systematic review of barriers and solutions[J]. Renewable & Sustainable Energy Reviews, 2017, 77:525–535.

Birch K, Dove E S, Chiappetta M, et al. Biobanks in Oral Health: Promises and Implications of Post-Neoliberal Science and Innovation[J]. Omics-a Journal of Integrative Biology, 2016, 20(1):36–41.

Vittuari M, Gaiani S, Politano A, et al. Policy options to stimulate social innovation initiatives addressing food waste prevention and reduction[J]. Journal of Supercomputing, 2016, 68:1–12.

Marvel M R, Patel P C. Self-Leadership and Overcoming the Time Resource Constraint: Accelerating Innovation for New Products[J]. IEEE Transactions on Engineering Management, 2017, (99):1–12.

Kratzer J, Lettl C, Franke N, et al. The Social Network Position of Lead Users[J]. Journal of Product Innovation Management, 2016, 33(2):1111–1117.

Luggen M, Birkenmeier B, Brodbeck H. Innovation management in networks of entrepreneurial firms[J]. International Journal of Entrepreneurship & Innovation Management, 2005, 5(1–2):69–84.

Gebhardt J C, Suter D, Roy R, et al. Probing Transcription Factor DNA Binding at the Single Molecule Level in Live Mammalian Cells[J]. Nature Methods, 2017, in press.

Qian, X. D., Xia, J., Liu, W., & Tsai, S. B. (2018). An empirical study on sustainable innovation academic entrepreneurship process model. Sustainability, 10(6), 1974.

Zhu, H. B., Zhang, K., & Ogbodo, U. S. (2017). Review on innovation and entrepreneurship education in Chinese universities during 2010–2015. Eurasia Journal of Mathematics, Science and Technology Education, 13(8), 5939–5948.

Qian, H. (2017). Knowledge base differentiation in urban systems of innovation and entrepreneurship. Urban Studies, 54(7), 1655–1672.

Gamze, S. A. R. T. (2014). The new leadership model of university management for innovation and entrepreneurship. Eurasian Journal of Educational Research, (57), 73–90.

Kerr, W. R. (2013). US high-skilled immigration, innovation, and entrepreneurship: Empirical approaches and evidence (No. w19377). National Bureau of Economic Research.

Qian, X., Shi, H., Ge, C., Fan, H., Zhao, X., & Liu, Y. (2020). Application research on service innovation and entrepreneurship education in university libraries and archives. International Journal of Computational Science and Engineering, 22(1), 96–106.

Pisoni, G. (2019). Strategies for pan-european implementation of blended learning for innovation and entrepreneurship (i&e) education. Education Sciences, 9(2), 124.

Bai, L., Wang, C., & Zhang, L. (2021). Microprocessor and Real-Time Task Processing System Application in University Innovation and Entrepreneurship Education Platform. Microprocessors and Microsystems, 104092.

Liang, Y., Wang, H., & Hong, W. C. (2021). Sustainable Development Evaluation of Innovation and Entrepreneurship Education of Clean Energy Major in Colleges and Universities Based on SPA-VFS and GRNN Optimized by Chaos Bat Algorithm. Sustainability, 13(11), 5960.

Etzkowitz, H., & Zhou, C. (2017). The triple helix: University–industry–government innovation and entrepreneurship. Routledge.

Nambisan, S., Wright, M., & Feldman, M. (2019). The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes. Research Policy, 48(8), 103773.

Liu, T. (2021, May). Thinking of College Students’ innovation and Entrepreneurship Education under the background of big data. In 2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA) (pp. 546–550). IEEE.

Kumar, Priyan Malarvizhi, et al. (2020). Call for Special Issue Papers: Multimedia Big Data Analytics for Engineering Education. Big Data, 8(2), 2020, 87–88.

Stephan, T., Sharma, K., Shankar, A., Punitha, S., Varadarajan, V., & Liu, P. (2020). Fuzzy-Logic-Inspired Zone-Based Clustering Algorithm for Wireless Sensor Networks. International Journal of Fuzzy Systems. doi: 10.1007/s40815-020-00929-3.

Lane, P. M. (2016). Creating the environment for innovation and entrepreneurship. International Entrepreneurship Review, 2(2), 53–66.

Lin, Weiwei, et al. (2018). Experimental and Quantitative Analysis of Server Power Model for Cloud Data Centers. Future Generation Computer Systems, 86, 940–950.

Budyldina, N. (2018). Entrepreneurial universities and regional contribution. International Entrepreneurship and Management Journal, 14(2), 265–277.

Wu, Hao, et al. (2018). Multiple Attributes QoS Prediction via Deep Neural Model with Contexts. IEEE Transactions on Services Computing, 1–1.

Schaeffer, P. R., Guerrero, M., & Fischer, B. B. (2021). Mutualism in ecosystems of innovation and entrepreneurship: A bidirectional perspective on universities’ linkages. Journal of Business Research, 134, 184–197.

Wang, C., Dong, Y., Xia, Y., Li, G., Martínez, O. S., & Crespo, R. G. (2020). Management and entrepreneurship management mechanism of college students based on support vector machine algorithm. Computational Intelligence.

Piraquive, F. N., García, V. H., Crespo, R. G., & Liberona, D. (2014). Knowledge Management, Innovation and Efficiency of Service Enterprises Through ICTs Appropriation and Usage. Lecture Notes in Business Information Processing Knowledge Management in Organizations, 300–310.





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