House-Keeping Services Platform Based on Consortium Blockchain Technology
- DOI
- 10.2991/978-94-6463-300-9_17How to use a DOI?
- Keywords
- Consortium Blockchain; house-keeping services platform; market potential; smart contracts
- Abstract
Consortium Blockchain (CB) technology has witnessed significant growth in popularity across various industries, such as finance, supply chain management, and healthcare. This paper introduces a housekeeping services platform that leverages the capabilities of CB. By capitalizing on the decentralized and tamper-proof nature of blockchain, the platform ensures transparency and security in home services. Through the implementation of smart contracts, the platform achieves automation and intelligence, ultimately enhancing service quality and efficiency. Consumers can access top-notch home services while benefiting from increased choices and fairer pricing. The paper delves into the technical implementation and operating model of the platform, showcasing its practicality and market potential. Moreover, it provides fresh perspectives and directions for the advancement of the home service industry. This innovative platform holds promise for transforming the sector by utilizing CB technology, bolstering trust, and driving operational excellence in the domain of home services.
- Copyright
- © 2023 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 - Yinjie Zhao PY - 2023 DA - 2023/11/27 TI - House-Keeping Services Platform Based on Consortium Blockchain Technology BT - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023) PB - Atlantis Press SP - 164 EP - 174 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-300-9_17 DO - 10.2991/978-94-6463-300-9_17 ID - Zhao2023 ER -