Artificial Intelligence in Corporate Culture Assessment: A Study of the Correlation Between Deep Learning and Corporate Performance
As the soft power of enterprise development, corporate culture plays an important role in enhancing employee cohesion, shaping brand image and strengthening the core competitiveness of enterprises. However, traditional corporate culture assessment methods often rely on subjective judgment and experience accumulation, and lack scientific and systematic nature. Deep learning technology, with its powerful data processing capability and pattern recognition ability, provides a new solution for corporate culture assessment. The application of AI in the core aspects of corporate culture assessment and performance management provides scientific guidance for the construction and development of corporate culture. By deeply analyzing the various aspects of corporate culture construction and combining the efficiency and accuracy of deep learning technology, this paper proposes a set of corporate culture assessment model based on AI. The model constructed in this paper includes the steps of data acquisition, preprocessing, feature extraction, model training and result output. Through in-depth mining and analysis of corporate culture-related data, the model is able to objectively assess the current situation and development trend of corporate culture, and provide targeted suggestions for the optimization and enhancement of corporate culture, which improves the accuracy and efficiency of corporate culture assessment while also providing strong support for the improvement of corporate performance.
Authors
- Mingwei Zhou (ORCID: https://orcid.org/0000-0002-8507-4943)
- Wei Wei (ORCID: https://orcid.org/0009-0006-9318-4313)
Institutions
- Shandong Institute of Business and Technology (CN)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1109/aaicv66571.2025.00030
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00