The Model of Enterprise Culture and Technology Innovation Performance Based on Deep Learning Corporate Culture and Technological Innovation Performance

Abstract

This study thoroughly examines the intricate relationship between innovation culture, open technology innovation, and high-tech enterprise performance, emphasizing the integration of deep learning technology. Utilizing a comprehensive methodology, including rigorous research and advanced analytical tools such as regression analysis, structural equation modeling, and deep learning models, we aim to validate theoretical assumptions concerning these relationships. Our findings uncover a significant correlation between corporate culture and technological innovation performance, highlighting the pivotal role of open technological innovation in elevating the overall innovation capability of enterprises. Furthermore, the incorporation of deep learning technology significantly enhances the precision and dependability of our analysis. The study also demonstrates that effective collaboration among employees from various departments and cooperation with both internal and external stakeholders fosters creativity, technical proficiency, and overall innovation performance. Relational capital drives resource integration, proven to be a crucial enabling factor in acquiring vital technology and market insights, facilitating employee interactions, accelerating knowledge exchange, and ultimately enhancing innovation outcomes. In conclusion, this study offers invaluable insights into the complex interplay between innovation culture, open technology innovation, and the performance of high-tech enterprises.

Keywords

• Deep learning
• corporate culture
• enterprise technology
• innovation performance
• impact model