Abstract
Dynamic pricing strategies in book redistribution is an online platform designed for the buying and reselling of second-hand books. The platform employs a dynamic pricing strategy facilitated through direct negotiation between sellers and buyers. By using technologies like React, Node.js, MongoDB, and Express, along with blockchain and smart contracts, its main aim is to balance profitability and fairness in book transactions. Specifically, the platform aims to enhance the efficiency and security of book redistribution processes and prevent fraud, including counterfeit books, to ensure trust in transactions. Each book on the platform is uniquely associated with a blockchain token, effectively mitigating the risks associated with fraud and counterfeit transactions. Smart contracts play a crucial role by enabling secure and transparent monetary transactions between parties involved in buying and selling books. Moreover, the platform fosters fair pricing through direct negotiation and provides a user-friendly interface that supports manual searches and negotiations. By integrating these technologies and functionalities, the platform not only enhances the overall efficiency of book redistribution but also promotes a secure environment that encourages trust and fairness among its users.
References
Nalayini, C. M., P. Vimala Imogen, and J. M. Sahana. "A Study on Digital Signature in Blockchain Technology." In 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), pp. 398-403. IEEE, 2023.
Zhang, Xuming, Xiao Zhang, and Rende Li. "A blockchain enhanced book lending system for college library." In The 2022 4th International Conference on Blockchain Technology, pp. 160-165. 2022.
Wanga, Jie, Qiuying Zhanga, and Wen Huanga. "A study of dynamic pricing strategies for cooperation between cruise lines and travel agencies." In ICBBEM 2023: Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China, p. 321. European Alliance for Innovation, 2023.
Cheung, Christy MK, Matthew KO Lee, and Zach WY Lee. "Understanding the continuance intention of knowledge sharing in online communities of practice through the post‐knowledge‐sharing evaluation processes." Journal of the American Society for Information Science and Technology 64, no. 7 (2013): 1357-1374.
Cliff, Dave. “An Open-Source Limit-Order-Book Exchange for Teaching and Research.” 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (2018): 1853-1860.
Sudharson, K., Ashwin Prasad, and S. Smriti. "A Survey on Reader's Society: New Social Network of Book Swapping Platform." In 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), pp. 1-6. IEEE, 2023.
Ray, Samrat. "Fraud detection in e-Commerce using machine learning." BOHR International Journal of Advances in Management Research 1, no. 1 (2022).
Hsu, Meng-Hsiang, Teresa L. Ju, Chia-Hui Yen, and Chun-Ming Chang. "Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations." International journal of human-computer studies 65, no. 2 (2007): 153-169.
Saputra, Adi. "Fraud detection using machine learning in e-commerce." International Journal of Advanced Computer Science and Applications 10, no. 9 (2019).
Weng, Haiqin, Shouling Ji, Fuzheng Duan, Zhao Li, Jianhai Chen, Qinming He, and Ting Wang. "Cats: cross-platform e-commerce fraud detection." In 2019 ieee 35th international conference on data engineering (icde), pp. 1874-1885. IEEE, 2019.
Gao, Xinxin "Detecting online payment fraud using machine learning techniques." Journal of Ambient Intelligence and Humanized Computing, Vol. 11, No. 6, 2020.