Intelligent Technology, COVID-19 and Corporate Innovation
Based on Case Study and Empirical Study
- DOI
- 10.2991/978-94-6463-052-7_139How to use a DOI?
- Keywords
- Digital economy; covid-19; corporate innovation
- Abstract
The study focus on whether the digital economy impacts the effect of epidemic on the enterprises’ innovation performance. We raised the question of innovation at the micro level. In today’s pandemic, it is essential to give innovators some experience and ideas at the micro level. So our answer to this question is valuable. Through empirical study, we find that the digital economy increases the impact. We listed typical cases of technological innovation from Amazon and JINGdong, analyzed the similarities and differences in these cases, and summarized some directions and experiences of technological innovation during the epidemic. Finally, Through empirical research on the interaction between COVID-19 and the digital economy, we find that the digital economy improve the positive impact of COVID-19 on innovation. We suspect that the digital economy will improve the flexibility of corporate decision-making. We concluded that the innovation needed today is no longer aimless innovation, but innovation with a purpose.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Junhao Xu AU - Junlin Zhou PY - 2022 DA - 2022/12/27 TI - Intelligent Technology, COVID-19 and Corporate Innovation BT - Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022) PB - Atlantis Press SP - 1250 EP - 1259 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-052-7_139 DO - 10.2991/978-94-6463-052-7_139 ID - Xu2022 ER -