Inventory Financing Model Based on Blockchain Technology

Qiao, Yuncheng; Lan, Qiujun; Zhou, Zhongding

doi:10.2991/febm-19.2019.7

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…We use BlockOptR to generate optimization recommendations which help to improve the smart contract and thereby the performance. Though the LAP event logs are from a database setting, this is a realistic use-case for blockchains as an automated loan application system requires security and decentralized trust (e.g., micro-loans, decentralized loan applications, and more generally DeFi [33,58,82,83]). Consequently, this experiment demonstrates the utility of BlockOptR in a realistic scenario.…”

Section: Loan Application Process (Lap)mentioning

confidence: 99%

How To Optimize My Blockchain? A Multi-Level Recommendation Approach

Chacko¹,

Mayer²,

Jacobsen³

2023

Preprint

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Aside from the conception of new blockchain architectures, existing blockchain optimizations in the literature primarily focus on system or data-oriented optimizations within prevailing blockchains. However, since blockchains handle multiple aspects ranging from organizational governance to smart contract design, a holistic approach that encompasses all the different layers of a given blockchain system is required to ensure that all optimization opportunities are taken into consideration. In this vein, we define a multi-level optimization recommendation approach that identifies optimization opportunities within a blockchain at the system, data, and user level. Multiple metrics and attributes are derived from a blockchain log and nine optimization recommendations are formalized. We implement an automated optimization recommendation tool, BlockOptR, based on these concepts. The system is extensively evaluated with a wide range of workloads covering multiple real-world scenarios. After implementing the recommended optimizations, we observe an average of 20% improvement in the success rate of transactions and an average of 40% improvement in latency.

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Section: Loan Application Process (Lap)mentioning

confidence: 99%

How To Optimize My Blockchain? A Multi-Level Recommendation Approach

Chacko¹,

Mayer²,

Jacobsen³

2023

Preprint

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“…For example, Qi et al [35] designed a warehouse receipt management system based on blockchain, providing a reliable basis for the authenticity and accuracy of warehouse receipt objects. Qiao et al [3] proposed an inventory financing model based on BT under which the authenticity of transactions can be guaranteed and property right disputes can be resolved. Chen [36] built a blockchain warehouse receipt pledge platform that included a physical layer, a platform layer, and an application layer.…”

Section: Blockchain and Ftwmentioning

confidence: 99%

“…Among them, the finance, transportation and warehouse (FTW) financing model, which takes enterprise inventory as collateral, is favored due to its strong availability of collateral and its ability to bring more business to third-party logistics enterprises (3PLs) [1]. Although the intervention of 3PLs has built a bridge between financial institutions (FIs) and SMEs, reducing information asymmetry between each other and providing convenience for financing businesses [2], there are still many problems in the implementation process of FTW financing, such as repeated pledge, insufficient supervision, market value fluctuations, etc., and the implementation process is lengthy and cumbersome [3,4]. When SMEs have relative information advantages with 3PLs, they may also collude and conduct fraud [5].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Evolution of Repeated Pledge in FTW from the Perspective of Blockchain Empowerment

Qin,

Hong

2023

Symmetry

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Due to information asymmetry, finance, transportation and warehouse financing gives rise to the issue of repeated pledge, which amplifies the risk of the loan business of financial institutions. In tandem with advancements in fintech, blockchain technology plays a significant role in the supply chain finance realm, primarily because of its core characteristics of being difficult to tamper with and decentralized. Therefore, this study constructed an evolutionary game model involving financial institutions, small- and medium-sized enterprises, and third-party logistics enterprises under a blockchain-enabled model and scrutinized the repeated pledge of financing entities in the finance, transportation and warehouse financing sector from the perspective of blockchain empowerment. The results show that the platform access fee being lower than the cost of conducting a financing business and the immutable characteristics of blockchain are important reasons to promote financial institutions to choose access to blockchain. The permanent retention of performance records owing to immutable performance under the blockchain model intensifies the consequences of dishonest behavior of small- and medium-sized enterprises and third-party logistics enterprises, thus encouraging the adoption of positive financing strategies. Additionally, the additional income obtained by third-party logistics enterprises’ covering behavior surpasses the additional income obtained by the repeated pledge behavior of small- and medium-sized enterprises, which will dismantle collusion between them. This study serves as a valuable reference for decision makers in the development of supply chain finance empowered by fintech.

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