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Recently, the size of the used car market has been continuously increasing. In this used car trading market, various used car trading damage is caused by the asymmetry of information between the seller and buyer. In particular, there are many cases of damage caused by information asymmetry between the seller and buyer, and the reliability of the used car trading market is being deteriorated. In this study, we propose a used car transaction management system that guarantees reliability without the intervention of third parties by using smart contracts based on the public blockchain Ethereum. The public blockchain was used in the used car transaction management system to design a safe and reliable used car transaction management system based on the reliability of information on the used cars. In addition, smart contracts were used to design contracts for used car trading, allowing for safer trading while reducing the effort and time of the trading participants. This system mitigates the asymmetry of information between buyers and sellers through the characteristics of the blockchain that guarantees the integrity and transparency of data, and reduces and prevents brokerage commissions in the distribution process without third-party intervention. This system uses IPFS to store data using the Mongo database based on the Node.js server and returns the hash function stored in the smart contract.
Seung Gyun Yoo; ByeongTae Ahn. A study for efficiency improvement of used car trading based on a public blockchain. The Journal of Supercomputing 2021, 77, 10621 -10635.
AMA StyleSeung Gyun Yoo, ByeongTae Ahn. A study for efficiency improvement of used car trading based on a public blockchain. The Journal of Supercomputing. 2021; 77 (9):10621-10635.
Chicago/Turabian StyleSeung Gyun Yoo; ByeongTae Ahn. 2021. "A study for efficiency improvement of used car trading based on a public blockchain." The Journal of Supercomputing 77, no. 9: 10621-10635.
Recently, logistics platforms that facilitate interaction and the exchange and transaction of information have quickly emerged in the Korean domestic market. In order to further advance the development of logistics platforms into green logistics platforms in which participation in the early stages is not active, appropriate checks and balances are needed so that service providers, users, and platform operators can grow together in green logistics platforms. The purpose of this study is to empirically verify the factors affecting participants’ intentions to use green logistics platforms. Out of the 230 questionnaires distributed from 25 June to 11 July 2019, 14 were excluded from analyses due to unsatisfactory responses, while 216 responses were used for statistical processing. The structural equation model (SEM) was used to test hypotheses in this research. The results showed that the network effect and security factors influenced perceived usefulness, and trust did not affect perceived usefulness. Perceived usefulness also significantly influenced the intention to use green logistics platforms. The results of this study present strategies and directions for the future development of green logistics platforms.
Su-Young Kwak; Woo-Sung Cho; Gil-Am Seok; Seung-Gyun Yoo. Intention to Use Sustainable Green Logistics Platforms. Sustainability 2020, 12, 3502 .
AMA StyleSu-Young Kwak, Woo-Sung Cho, Gil-Am Seok, Seung-Gyun Yoo. Intention to Use Sustainable Green Logistics Platforms. Sustainability. 2020; 12 (8):3502.
Chicago/Turabian StyleSu-Young Kwak; Woo-Sung Cho; Gil-Am Seok; Seung-Gyun Yoo. 2020. "Intention to Use Sustainable Green Logistics Platforms." Sustainability 12, no. 8: 3502.