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

被引:0
|
作者
Guo, Meng [1 ]
机构
[1] Zhongyuan Univ Technol, Sch Econ & Management, Dept Business Adm, Zhengzhou 450007, Henan, Peoples R China
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Technological innovation; Deep learning; Collaboration; Profitability; Mathematical models; Cultural differences; Analytical models; Organizational aspects; Enterprise resource planning; Performance evaluation; Creativity; corporate culture; enterprise technology; innovation performance; impact model; ENVIRONMENTAL-REGULATION; LEADERSHIP;
D O I
10.1109/ACCESS.2024.3398597
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:66021 / 66030
页数:10
相关论文
共 50 条
  • [31] Geography, culture, and corporate innovation
    Wei, Yueling
    Kang, Di
    Wan, Yizhong
    PACIFIC-BASIN FINANCE JOURNAL, 2019, 56 : 310 - 329
  • [32] Risk culture in corporate innovation
    Ho, Po-Hsin
    Huang, Chia-Wei
    Lin, Chih-Yung
    Yen, Ju-Fang
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2024, 91
  • [33] Infusing innovation into corporate culture
    Price, Robert M.
    ORGANIZATIONAL DYNAMICS, 2007, 36 (03) : 320 - 328
  • [34] The synergistic effect of carbon performance and technological innovation on corporate financial performance
    Yan, Jin
    Zhou, Hui
    Mu, Jialin
    Zhang, Ying
    Rahman, Airin
    FRONTIERS IN PSYCHOLOGY, 2022, 13
  • [35] How enterprise interactions in innovation networks affect technological innovation performance: The role of technological innovation capacity and absorptive capacity
    Fan, Mengjuan
    Huang, Wu
    Xiong, Shengxu
    PLOS ONE, 2023, 18 (03):
  • [36] Characteristics of collaborative innovation network and enterprise technological innovation performance: based on the moderating effect of environmental regulation
    Li, Mingxing
    Zhu, Yue
    Gao, Ya
    Chen, Feng
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [37] Theory and Practice on Innovation of Corporate Culture-Analysis on Impact Factors of Corporate Culture Innovation
    Qi Ying
    Song Lianxi
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON GROWTH OF FIRM AND MANAGEMENT INNOVATION, 2009, : 261 - 264
  • [38] Organizational culture, innovation, and performance: A test of Schein's model
    Hogan, Suellen J.
    Coote, Leonard V.
    JOURNAL OF BUSINESS RESEARCH, 2014, 67 (08) : 1609 - 1621
  • [39] The competing value framework model of organizational culture, innovation and performance
    Zeb, Ali
    Akbar, Fazal
    Hussain, Khawar
    Safi, Adnan
    Rabnawaz, Muhammad
    Zeb, Faheem
    BUSINESS PROCESS MANAGEMENT JOURNAL, 2021, 27 (02) : 658 - 683