Data-driven optimisation of leadership models during enterprise digital transformation

Abstract

With the tightening of resource and environmental constraints and the normalization of enterprise transformation, enterprises are increasingly faced with the challenge of coping with unpredictable risks. As a core component of these enterprises, middle management plays a significant role in the success or failure of enterprise crisis management. This paper primarily focuses on the middle management of the enterprise, constructing a five-dimensional model of leadership and applying mathematical modeling through word frequency analysis. It also constructs a leadership evaluation index system through quantitative analysis, which it then combines with the hierarchical analysis method to comprehensively evaluate the leadership level of middle-level administrators. The results of factor analysis show that the predicted internal consistency reliability value and the total scale retest reliability value are over 0.85; the absolute fitness and factor loadings meet the statistical standards, and the constructed leadership model passes the test. In addition, the weights of foresight, decisiveness, planning ability, communication ability, goal management, competitiveness, and challenging the status quo are all greater than 0.7. The optimization of the leadership model can be carried out from the aspects of constructing the talent database of middle managers, strengthening the leadership training of middle managers, and building the mechanism of management culture.

Keywords

• word frequency analysis
• hierarchical analysis method
• mathematical modelling
• leadership model
• evaluation index system.
• 97p10