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Academic Journal of Business & Management, 2022, 4(7); doi: 10.25236/AJBM.2022.040719.

Construction and analysis of leadership characteristic model based on deep learning in the process of knowledge management


Fuchun Lin

Corresponding Author:
Fuchun Lin

Graduate School, Emilio Aguinaldo College, Manila, Philippines


Knowledge-based economy, globalization, scientific and technological development and social changes are constantly changing the business environment. With the rapid formation of the knowledge-based economy era with knowledge as its capital and distribution basis all over the world, knowledge-based enterprises are becoming the main body of the globalized knowledge-based economy. Therefore, leadership has become one of the top ten management concepts that will influence the future development of enterprises in China and even the world. However, according to the investigation and research, the leadership level of Chinese enterprises needs to be further improved. In the 21st century, enterprises are faced with a series of changes in ideology, organization, culture and human resources. In the era of knowledge economy, all kinds of new thinking, new methods, new cultures and new creations are everywhere, which affect the development of enterprises. Based on the process of knowledge management, this paper analyzes the construction of leadership characteristic model. It shows different leadership characteristics in different stages of knowledge management. It is expected to help enterprises pay attention to the performance of leadership characteristics in each stage of knowledge management, and promote the process of knowledge management by promoting leadership development strategies.


Knowledge management; Deep learning; Leadership characteristics; Leadership characteristics model

Cite This Paper

Fuchun Lin. Construction and analysis of leadership characteristic model based on deep learning in the process of knowledge management. Academic Journal of Business & Management (2022) Vol. 4, Issue 7: 117-122. https://doi.org/10.25236/AJBM.2022.040719.


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