Empirical analysis of doctoral candidates’ innovative personality model based on grey target decision making

Abstract

Purpose

The purpose of this paper is to analyze the reliability and validity of doctoral candidates’ innovative personality model.

Design/methodology/approach

Based on doctoral candidates’ innovative personality model, this study took the best correlation and the worst correlation into account to predict and demonstrate their innovative ability tendencies. Matlab R2016a, a program of software programming, was used to calculate the contribution degree of each personality factor of doctoral candidates to their innovative ability tendencies.

Findings

The reliability and validity of doctoral candidates’ innovative personality model based on grey target theory have been verified, and the prediction for doctoral candidates’ innovative ability tendencies can be realized on the basis of this model.

Practical implications

Scientific and reasonable doctoral candidates’ innovative personality model can play a good guiding role, and its research results have certain practical significance for selecting innovative doctoral candidates, ensuring the training quality of doctoral candidates and cultivating the innovative ability of doctoral candidates. It can be promoted and applied on the basis of its trial operation in Jiangsu.

Originality/value

With regard to the relative degree of the influence of doctoral candidates’ individual personality factors, previous researchers seldom carried out the quantitative research. In this paper, the author sought a quantitative method to describe the degree of such influence and constructed the doctoral candidates’ innovative personality model based on grey target decision making. This study took the positive and negative off-target distance into account and demonstrated the rationality and validity of doctoral candidates’ innovative personality model.

Citation

Sun, C. (2020), "Empirical analysis of doctoral candidates’ innovative personality model based on grey target decision making", Grey Systems: Theory and Application, Vol. 10 No. 1, pp. 12-24. https://doi.org/10.1108/GS-06-2019-0019