Research on Scientific Management Innovation in the Era of Digital Economy
Abstract
With the rapid development of digital economy, the wide application of information technology is reshaping the operation mode and management structure of enterprises. At the heart of the digital economy is data-driven decision making, intelligent management, and networked collaboration, which provide unprecedented opportunities and challenges for enterprises. By combining the successful cases of specific enterprises, this paper aims to provide practical strategies for business managers to help them better adapt to the rapid changes of the digital economy and improve management efficiency and decision-making ability. Finally, this paper hopes to provide a new perspective and thinking for the future scientific management research in the era of digital economy.
References
[2] Luan, X., Chang, J., Wang, C., et al. (2022). Multi-objective optimization design of structural parameters of active joint crawler snake rescue robot. Robotics, 44(3), 14. https://doi.org/10.13973/j.cnki.robot.210295
[3] Xie, G.-Z. (2013). Movement analysis and kinetics of series tracked search and rescue robot [Doctoral dissertation, Henan University of Technology].
[4] Chu, J., Deng, X., & Yue, Q. (2024). Autonomous path planning of search and rescue robots based on Q-learning. Journal of Nanjing University of Aeronautics and Astronautics, 56(02), 364-374. https://doi.org/10.16356/j.1005-2615.2024.02.020
[5] Chen, B., Huang, K., Pan, H., et al. (2023). Autonomous configuration planning of intelligent search and rescue robot in obstacle terrain. Journal of National University of Defense Technology, 45(06), 132-142.
[6] Zhao, D., Chen, G., Chen, X., et al. (2023). Design of terrain adaptive mechanism and obstacle-crossing performance analysis of wheeled search and rescue robot. Journal of Engineering Design, 30(05), 579-589.


This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).