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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.
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.
Digital transformation has profoundly impacted social and economic life by enhancing workforce competences, fostering innovation, and creating competitive advantages. Given that the driving force of digital transformation is technology, this study aimed to determine whether education and workforce competences are perceived as essential factors in the digital transformation narrative across diverse fields of socioeconomic development at both macro and micro levels. To achieve this, 528 abstracts from various scientific fields focused on digital transformation were analyzed using both manifest and latent content analyses, the latter ensuring a more objective interpretation of the outcomes derived from manifest content analysis. Frequency, word linkage, and concordance analyses of key concepts were used. The results indicated that education and workforce competences are viewed as vital for the digitalization of various sectors of the economy at both macro- and micro-level development. The findings suggest that technology drives digital transformation by delivering different types of value, including innovation and sustainability, while relying on education and technology-related competences. The results also revealed concerns about barriers to technology implementation, which could be overcome through education and competences. The originality of this research lies in its application of both manifest and latent analyses to identify the roles of education and technology in driving economic digital transformation. Keywords: digital transformation, education, workforce competences technology, macro-level development, micro-level development
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