【Author】 Zhao, Shuai Li, Wenli
【影响因子】9.018
【主题类别】
区块链治理-市场治理-技术采用
【Abstract】The blockchain-based traceability system (BTS) can reduce product losses in the perishable goods market, which yields a loss-reduction effect, and offer authentic information, which triggers a premium effect. In a dual-channel perishable goods supply chain (DPGSC), including one supplier and retailer each, the supplier can operate the price of the direct channel, different or non-different from that of the traditional channel. To study the adoption of BTS in the supplier-led DPGSC, we employed a game-theoretical model to capture BTS adoption strategy under the differential and non-differential pricing policies and proposed an improved cost-sharing contract to boost the DPGSC performance. The results indicated that both the supplier and the retailer are willing to improve product quality, broaden the saleable region, and lower the production cost. The adoption of BTS mainly depends on the losses-reduction effect, premium effect, production cost, and tag cost, which is affected more by the premium effect than by the loss-reduction effect. Furthermore, their adoption is not always easier when the production cost is higher. Except for symmetric base demands, they benefit asynchronously from BTS. Synchronised adoptions can be realised only when the improved cost-sharing contract generates more profits and introduces excess momentum.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Supply chain coordination; blockchain technology; loss-reduction effect; premium effect; pricing policies
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 实证数据
【影响因子】9.018
【主题类别】
区块链治理-市场治理-技术采用
【Abstract】Inefficient practices in the logistics industry cause huge losses in social resources. Addressing the quality control issues is challenging in multi-stage transport. Due to the structural characteristics of the serial logistics service chains, the real delivery quality of each Third Party Logistics (3PL) is invisible to the Lead Logistics Provider (LLP), and the defects of a single 3PL's delivery quality will be covered up. Thus, unobservable delivery quality triggers the moral hazard action of 3PL, and strengthens the inequities in a serial logistics service chain. Blockchain technology can be an effective tool to resolve the moral hazard problem. We employ game theory-based models to investigate the blockchain adoption issue in serial logistics service chains. Adopting blockchain technology might bring Pareto improvement in delivery quality and total profit of the service chain. However, 3PL's profit may be hurt because of blockchain adoption. Therefore, successful blockchain implementation depends on whether the initiator of a blockchain programme can properly incentivise 3PLs.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Serial logistics service chain; 3PL; lead logistics provider (LLP); unobservable delivery quality; blockchain adoption; Pareto improvement
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 实证数据
【Author】 Peng, Ying Chen, Xu Wang, Xiaojun
【影响因子】9.018
【主题类别】
区块链应用-实体经济-供应链
【Abstract】Applications of blockchain in supply chain management (SCM) have received extensive attention among academics and industrial practitioners. Most current blockchain-related review papers focus on the values, methodologies, barriers, trends, and challenges of blockchain applications in the supply chain (SC) context. Despite some papers discussing blockchain's role in SCs from a specific perspective, the existing review papers mainly concentrate on blockchain's influence on one of the three critical SC flows. Hence, this study comprehensively reviews 251 academic papers to capture the precise impacts of blockchain on the material, information, and money flows in SCM. Following the above analyses, a conceptual framework is put forward to accentuate blockchain's influence on SCM. By unveiling a comprehensive research landscape, this study offers valuable viewpoints and vital information for scholars and practitioners to better identify research frontiers and themes of blockchain applications in SCM.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Supply chain management; blockchain; industrial intelligence; systematic review; bibliometric analysis; thematic analysis
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 综述
【影响因子】9.018
【主题类别】
区块链应用-实体经济-车辆领域
【Abstract】In modular integrated construction (MiC), the resource allocation problem (RAP) adopted by construction sites and vehicle routing problem (VRP) adopted by logistics companies are highly interdependent. However, this interdependence has been overlooked in the literature. Thus, the plans determined by each problem cannot be achieved practically. Moreover, there is no existing VRP model suitable for the MiC application. This study aims to propose a VRP model suitable for MiC, investigate the interdependence between the RAP and proposed VRP model, and develop a blockchain system to secure information sharing between the RAP and VRP. The first two objectives are achieved by developing a coordinated system formulated as a leader-follower Stackelberg game model (LFSGM). This model is presented as a bi-level optimisation model and solved using a nested ant colony optimisation-based algorithm. The effectiveness of the LFSGM is validated using a real case study. The results show that using the traditional approach (i.e. a separate RAP and proposed VRP) succeeds in providing a plan for the construction sites but not for the logistics company. In contrast, the LFSGM offers applicable plans for both the construction sites and logistics company. Lastly, some managerial implications are identified and discussed.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Resource allocation problem; vehicle routing problem; game theory; blockchain; modular integrated construction
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 理论模型
【Author】 Yadav, Mikesh Prasad Pandey, Asheesh Taghizadeh-Hesary, Farhad Arya, Vandana Mishra, Nandita
【影响因子】8.634
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】Sustainable development is currently one of the most significant goals of humankind. Sustainable growth requires reducing carbon emissions and maintaining a rise in global temperatures within acceptable limits. Renewable energy sources, such as wind, solar, water, biomass, wave energy, and green investments, are substitutes for fossil fuels that significantly reduce carbon emissions. This study examines the volatility spillover of green bonds with renewable energy and the crypto market using daily data from October 1, 2015, to February 24, 2022. The results reveal the presence of spillovers from green bonds to renewable energy and the cryptocurrency market in the long run. Additionally, the results of the B & K tests indicate that the spillover among all the considered series under examination is lower in the short run than in the medium and long run, furnishing more opportunities to diversify the portfolio in the short run. This study has several implications for investors, portfolio managers, and policymakers.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Connectedness; Green bond; Renewable energy; Cryptocurrency; Investment
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 实证数据
【Author】 Hull, Isaiah Sattath, Or
【影响因子】4.142
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】The properties of money commonly referenced in the economics literature were originally identified by Jevons and Menger in the late 1800s and were intended to describe physical currencies, such as commodity money, metallic coins, and paper bills. In the digital era, many non-physical currencies have either entered circulation or are under development, including demand deposits, cryptocurrencies, stablecoins, central bank digital currencies, in-game currencies, and quantum money. These forms of money have novel properties that have not been studied extensively within the economics literature, but may ultimately determine which currencies prevail in the forthcoming era of currency competition. This review makes the first exhaustive attempt to identify and organize all properties of physical and digital forms of money. It examines both the economics and computer science literatures and categorizes properties within an expanded version of the canonical Jevons-Menger framework.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】central bank digital currency; cryptocurrencies; electronic payments; properties of money; quantum money
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 综述
【DOI】 10.1111/joes.12575
【Author】 Li, Ning Zhu, Xiaoyun
CCF-C
【影响因子】3.732
【主题类别】
区块链技术-协同技术-物联网
【Abstract】Sports injuries have been a common concern during athlete training as the number of Chinese athletes and their training intensity have increased. These injuries frequently impact critical locations, including the waist, shoulder, and wrist, impeding training progress and intensity. Inadequate training levels, a lack of understanding of preventive measures, inappropriate movements, insufficient warm-up exercises, low physical condition, and an inability to adjust to the environment all contribute to sports injuries. As a result, athlete training and recovery suffer. To address these issues, this study presents a neural network-based sports injury risk analysis system that uses blockchain and the Internet of Things (IoT). The suggested system combines a multi-sensor data fusion technique based on blockchain and IoT to evaluate and analyze sports injuries completely. The system has three unique roles: coach, team doctor, and athlete, each with its functional modules. Sensors collect data on athletes' recovery from sports injuries by collecting and analyzing inputs inside the human action system. The system then establishes the output values of a neural network and a risk level table, allowing for the estimation of athletes' risk levels based on the given table. Comparing the traditional technique and the sports injury rehabilitation monitoring system demonstrates that the technology can reliably detect players' injury locations in as little as 0.2 s. Furthermore, a thorough examination of the system's tracking and analysis accuracy reveals a recovery rate of approximately 94.39%, demonstrating minimal fluctuations and improved stability. The experimental findings reveal that combining blockchain, IoT, and neural network technologies makes the proposed sports injury rehabilitation monitoring system useful in quickly recognizing damage positions and enabling accurate tracking and analysis.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Internet of Things; Neural network; Sports injury; Data acquisition; Rehabilitation monitoring system
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 实验仿真
【Author】 Aslam, Javed Saleem, Aqeela Kim, Yun Bae
【影响因子】3.715
【主题类别】
区块链应用-实体经济-供应链
【Abstract】PurposeThis study aims to proposed that blockchain helps the organization improve supply chain (SC) performance by improving integration, agility and security through real-time information sharing, end-to-end visibility, transparency, data management, immutability, irrevocable information and cyber-security platforms.Design/methodology/approachThis study has made an initial effort toward proposing a framework that shows the problems and challenges for the O & G SC under its segments (upstream, midstream and downstream) and provides the interlink among blockchain properties for SCM problems. SC managers were selected for survey questionnaires from the Pakistan O & G industries.FindingsThis study analyzes the impact of blockchain-enabled SC on firm performance with an understanding of the SC robustness capabilities as a mediator. The result revealed that the SC manager believes that the blockchain-enabled SC has a positive and significant on firm performance and robustness capabilities.Research limitations/implicationsBlockchain technology is reflected as high-tech to support the firm process, responses and methods. The technology helps eliminate bottlenecks, avoid uncertainties and improve decision-making, leading to improved SC functions. This study guides managers about the potential problems of existing SC and how blockchain solves SC problems more effectively.Originality/valueThe oil and gas (O & G) sectors are neglected by researchers, and there are limited studies on O & G supply chain management (SCM). Additionally, no empirical evidence suggests implementing blockchain for O & G as a solution for potential problems. Furthermore, present the roadmap to other industries those having complex SC networks for the implication of blockchain to improve the SC performance.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain technology; Supply chain management; Integration; Agility; Robustness capabilities; Oil and gas sector
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 实证数据
【Author】 Du, Jianbo Lv, Jiaju Lu, Guangyue
【影响因子】3.418
【主题类别】
区块链应用-实体经济-无人机
【Abstract】In this paper, we study an edge caching and blockchain enabled space-air-ground integrated networking (SAGIN) network, where a low-earth-orbit (LEO) satellite serves as the content provider, and multiple edge caching enabled unmanned aerial vehicles (UAVs) will cache some contents to provide user equipments (UEs) with satisfactory content access services together with the satellite. Moreover, there's a blockchain system that is deployed on UAVs, to provide the network with trust mechanism without requiring a centralized authority. From the standpoint of the operator, we intend to maximize the long-term averaged economical revenue by providing UEs with satisfactory and secure content access services. To achieve this purpose, we will jointly optimize the content placement of each UAV, content replacement when each UAV is full, the access control of each UE, and the blockchain deployment strategy about each UAV. the concept of queues in Lyapunov optimization is utilized to represent the backlog of edge equipment, ensuring the stability of virtual queues on UAVs and satellites, while satisfying the caching capacity constraints for content caching and blockchain deployment. Due to the tight coupling of optimization in each time slot and the variables within each time slot, our problem, which involves stochastic optimization and binary integer programming, is challenging to solve. To address this issue, we initially employ Lyapunov optimization theory to transform and decouple the problem into individual time-slot optimization problems. Subsequently, we utilize an effective heuristic algorithm called the fireworks algorithm to solve these individual optimization problems. However, the original fireworks algorithm cannot be directly applied to our problem due to its binary characteristics and inter-coupling constraints. Therefore, we have redesigned the explosion and mutation operations to adapt them to our specific problem. Simulation results demonstrate that our proposed algorithm outperforms other baseline algorithms.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Space-air-ground integrated networks (SAGIN); Content caching; Blockchain deployment; Lyapunov optimization; Heuristic algorithm
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 理论模型
【Author】 Liu, Zhunzhun Zhang, Ruidong
CCF-C
【影响因子】3.317
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】In recent years cryptocurrency trading has been very active and received attention from worldwide investors. Given its short history and lack of effective regulatory frameworks, cryptocurrency trading is still like the wild west. This study selected the top 21 dominant cryptocurrencies to analyze the trading behavior associated with them over the period from 2016 to May 2023. We adopted the cross-sectional absolute deviations (CSAD) model to investigate investors' trading behavior. Two calculation methods are used: the capitalization-weighted method and the equally weighted method. Our analysis results have indicated that no matter which calculation method is used, the cryptocurrency marketplace has shown strong and significant herd behavior from 2016 to March 12, 2020. However, significant herd behavior couldn't be detected after March 12, 2020. This is a very interesting and yet important finding from our study. The implication is that March 12, 2020 appeared to be a turning point where important market conditions might have changed, such as the dominant cryptocurrency trading force has transformed from individuals to institutional investors.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Herd behavior; cryptocurrency; crypto trading behavior; CSAD; retail and institutional investors
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 实证数据
CCF-C
【影响因子】2.701
【主题类别】
区块链应用-实体经济-无人机
【Abstract】Blockchain technology is widely used in various fields due to its high security and reliability. And Unmanned aerial vehicle (UAV)-assisted edge computing is easy to deploy, fast, and flexible. Combining blockchain technology with UAV-assisted edge computing is a hot research topic today. In order to improve the problem of the high overhead of node communication in this environment. In this paper, a primary node selection method based on node reputation evaluation is proposed. In the traditional Practical Byzantine Fault Tolerance (PBFT) algorithm, the efficiency of node communication is very low when the number of nodes becomes large. The algorithm proposed in this paper selects the primary node based on the reputation value, which not only reduces the probability that the primary node is the wrong node but also reduces the number of communications and the communication overhead during the communication process, based on the node identity determined by the node reputation. In the experimental results, three benchmarks are selected for comparison experiments, and it is concluded that the algorithm proposed in this paper can effectively reduce the communication overhead in the PBFT algorithm, reduce the communication delay and improve the efficiency of nodes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Consensus mechanism; Blockchain; UAV; Edge computing
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 实验仿真
【影响因子】2.557
【主题类别】
区块链技术-协同技术-物联网
【Abstract】Rapid growth in IoT technology demands the need for the emergence of new IoT devices. IoT devices vary in terms of shape, size, storage, battery life, and computational power according to the specific purposes for which they are utilized. Also, since IoT devices are geographically dispersed, they are vulnerable to remote/physical attacks. Numerous research works are done to mitigate the challenges using software methods. However, in the last few decades, it is evident that software methods fail to protect IoT devices against hardware threats. The need for preventing hardware attacks drives the researchers to find a solution from a hardware perspective. This paper investigates and examines the security challenges faced by IoT devices by focusing on their hardware aspects. The outcome of the study is presented as a survey, signifying the existing solutions for different challenges. The survey primarily focuses on three major challenges: device authentication, IP protection, and hardware Trojan. Out of the analysis of 111 related schemes, it is clear that 30.6% are PUF-based schemes. A comparative study on the hardware parameter analysis of existing solutions has been performed. From this analysis, a few unresolved issues and directions for future research are identified. We expect this survey to be helpful for the research community working on hardware security challenges faced by IoT devices.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】IoT; Hardware security; IP; Hardware Trojan; Device authentication
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 综述
【Author】 Khan, Junaid Ahmed Wang, Weiyi Ozbay, Kaan
【影响因子】2.019
【主题类别】
区块链应用-实体经济-车辆领域
【Abstract】Connected and autonomous vehicles, as well as micro-mobility devices (e-scooters, e-bikes, and smartphones), constantly generate tremendous amounts of mobility data, comprising spatio-temporal trajectories and other sensory data, the sharing of which can assist in different safety and intelligent transportation system applications. However, constant sharing of such data for real-time mobility decisions could violate the privacy of respective users. At the same time, malicious users could generate and share false data, which would be potentially harmful for stakeholders relying on this data for their safety and mobility decisions. In this paper, we propose a new framework: Blockchain-Enabled Location Identification and Efficient Validation with Encryption" (BELIEVE)-a blockchain-based platform with multi-party computation (MPC)-to securely validate data from a mobility source without violating the user's privacy. The smart contractin BELIEVE first enables a source to initiate the mobility data validation process, then enables mobile peers in the vicinity to reach a consensus on the data validation using MPC without requiring the source to share raw data, thereby preserving the user's privacy. The spatio-temporal validation is then updated on a distributed ledger (Inter Planetary File System) as an immutable transaction. Real-time data validation is challenging, considering constant mobility alongside the reduction of resource consumption at the devices and, therefore, to address this, we employ an adaptive approach to the problem where the validation frequency as well as storage on the blockchain are dynamically decided by the nodes, based on the network conditions. We evaluate BELIEVE using a simulation model developed for a portion of New York City, U.S., transportation network and it achieves lower delays and overhead.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】cybersecurity; internet of things (IOT) and edge computing; trajectory; blockchain; privacy
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 实验仿真
【影响因子】1.762
【主题类别】
区块链技术-协同技术-联邦学习
【Abstract】Federated learning (FL) is a focus of research in the area of privacy protection since it does not have the privacy issues that arise from data concentration. Although its emergence has attracted widespread attention from academia and industry, existing works on FL still face security challenges. FL can be considered as a cooperative-based task to achieve global model sharing. However, the model raises issues of cooperative security, such as free-riding and poisoning attacks. Therefore, we focus on the behavior of participants with strong cooperative relationships and build a Cooperative Security-aware Federated Learning model using blockchain. In addition, we propose a credit-based economic model including profit and punishment mechanisms to ensure fairness and security among participants. Furthermore, for data privacy, we develop a participation permission strategy to protect the privacy of participants through proxy re-encryption and homomorphic encryption. Finally, the simulation results of the real datasets show that the proposed scheme achieves a good performance in security and accuracy.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Federated learning; Blockchain; Security; Privacy; Economic model
【发表时间】2023
【收录时间】2023-07-14
【文献类型】 理论模型
【DOI】 10.1093/comjnl/bxad060
【作者】 刘成;
【作者单位】内蒙古大学公共管理学院;内蒙古大学内蒙古社会治理与创新研究基地;
【文献来源】城市问题
【复合影响因子】
【综合影响因子】
【主题类别】
区块链应用-虚拟经济-元宇宙
【摘要】元宇宙为城市治理开辟出新的进化方向，处于数字化转型关键期的中国城市亟需借鉴国外的相关经验。基于政策反馈理论，以全球第一个进军元宇宙的城市——首尔为案例，全面梳理了首尔元宇宙城市治理的建构逻辑和行动策略。研究发现，过去数字治理的历史深刻影响首尔元宇宙城市治理的建构动机、主体、内容和路径要素，并形成了以服务发展为导向、多主体共建、全领域嵌入、科学规划与支持本土为特征的实践框架。在此基础上，结合我国城市发展实际，从党的领导、以人民为中心、服务发展、多元共建四个方面提出了我国元宇宙城市治理的政策启示，以期为我国的城市治理提供决策参考。
【关键词】元宇宙;;城市治理;;政策反馈;;首尔
【文献类型】 观点阐述
【发表时间】2023-07-14
【作者】 袁彬;薛力铭;
【作者单位】北京师范大学刑事法律科学研究院;北京师范大学法学院;
【文献来源】华侨大学学报(哲学社会科学版)
【复合影响因子】
【综合影响因子】
【主题类别】
区块链治理-法律治理-数字货币监管
【摘要】随着法定数字货币的推广，未来势必会出现数字人民币与纸币共存的态势。因数字货币所独有的技术特征，使得针对法定数字货币的侵财行为手段不同于单一的传统盗窃行为，而是包含侵入数字钱包、获取支付密码等复合行为。因此，传统盗窃行为的认定标准，已经不再适用盗窃法定数字货币行为的认定。针对法定数字货币的着手认定，应当在立足于危险结果说的基础上，针对具体案情加以综合判断。针对盗窃法定数字货币的手段行为，平和窃取说更符合司法实践的需求。针对盗窃法定数字货币的既遂认定，相比传统“控制说”,“失控说”立足于他人财物是否失去控制，无疑更加契合智能合约等技术的应用。针对数字货币硬钱包，不能将其等同于信用卡，也不能将“冒用”他人数字货币硬钱包的行为解释为信用卡诈骗罪。对于盗窃数字货币软钱包的罪数认定，应当根据不同的行为类型加以区分，不能一概依据《刑法》第二百八十七条排除计算机类犯罪的适用。
【关键词】法定数字货币;;盗窃罪;;行为手段
【文献类型】 观点阐述
【发表时间】2023-07-14