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Strategies for Building a Scientific Research Talent Team Based on Regression Models

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DOI: 10.23977/jhrd.2023.050607 | Downloads: 11 | Views: 532

Author(s)

Yang Lei 1

Affiliation(s)

1 Yunnan Open University, Kunming, China

Corresponding Author

Yang Lei

ABSTRACT

As the cradle of talent cultivation, universities have a significant impact on the rise and fall of national development through the production and application of scientific research achievements. Based on data research on the research talent team of Yunnan Open University, statistical methods were used to analyze and process the data materials. Regression models were used to study the relationship between the output of scientific research results in the analysis of industry teaching research cooperation. The relationship between the output of scientific research results and the factors of industry teaching research cooperation, such as teachers' professional titles, research work time structure, as well as the investment in school enterprise cooperation funds, number of cooperative entities, and number of invested cooperative teachers, was tested, so as to provide countermeasures and suggestions for the allocation of various elements, in order to guide the institutional practice of vocational colleges in actual funding investment and talent resource allocation.

KEYWORDS

Regression model, talent team, quantity relationship, factor allocation

CITE THIS PAPER

Yang Lei, Strategies for Building a Scientific Research Talent Team Based on Regression Models. Journal of Human Resource Development (2023) Vol. 5: 44-51. DOI: http://dx.doi.org/10.23977/jhrd.2023.050607.

REFERENCES

[1] Yu Li. The impact of off campus part-time jobs on the scientific research output of university teachers in China [J]. Research Management, 2021 (42): 11
[2] Lowe R A, Gonzalez Brambila C Faculty Entrepreneurs and Research Productivity [J]. Journal of Technology Transfer, 2007, 32 (3): 173-194
[3] Zhao Lanxiang, Yao Meng, Wu Bo. Research on the Cultivation Model of Innovative Talents from the Perspective of Implicit Knowledge [J]. Research Management, 2019, 40 (11): 11
[4] Zhu Yani, Yu Yulong, Wang Haiyan. Research on the Performance Evaluation System of University Scientific Research for Collaborative Innovation [J]. Research Management, 2016 (S1): 8
[5] Yang Fangjuan, Liu Yun. Analysis of the Characteristics and Quality of Introducing High Level Young Talents [J]. Research Management, 2016 (S1): 238-246
[6] Chen Heng, Chu Guogang, Hou Jian. The mechanism of the impact of industry-university-research cooperation on the cultivation of innovative talents [J]. Research Management, 2018, 39 (4): 10
[7] Fang Yangchun, Jia Dan. Research on the Impact of Inclusive Talent Development Model on Innovative Behavior of University Teachers [J]. Research Management, 2015, 36 (5): 73-78
[8] Zhang Zhiqiang, Yu Xi. Quality Capability and Technological Innovation Efficiency - A Quality Upgrade Perspective [J]. Research Management, 2021 (10)

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