The Application of Robotics in the Field of Service from the Investment Perspective
- DOI
- 10.2991/978-94-6463-052-7_64How to use a DOI?
- Keywords
- Service robots; Investment opportunity; PEST; General situation
- Abstract
Just as the industrial revolution, which brings significant change and boom to the development of productivity, the robots in the service industry are highly possible to adjust and regenerate the current business. However, many technological workers are still experimenting with applying artificial intelligence to the services, lowering the cost of the service robots. The paper aims to determine the investment opportunity by exploring the role of service robots will play in the future. This paper uses PEST to offer the general situation of the current service robotics industry. It finds out the specific problems that existed in the immature industry and market. Finally, the paper sheds light on a few solutions and analyzes venture capital and optimal funding for technological startups. For the other researchers, it is better to investigate the overall potential value given by the service robots and people's expectations of service robots. In this way, the view toward the investment opportunity will be more comprehensive and incisive.
- 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 - Tian Chen AU - Yunhui Qi AU - Weiliang Sun AU - Lihui Zhu PY - 2022 DA - 2022/12/27 TI - The Application of Robotics in the Field of Service from the Investment Perspective BT - Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022) PB - Atlantis Press SP - 545 EP - 556 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-052-7_64 DO - 10.2991/978-94-6463-052-7_64 ID - Chen2022 ER -