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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: 2 | Views: 177

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.

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