【Author】 Kakkar, Riya Agrawal, Smita Tanwar, Sudeep

【Source】RENEWABLE & SUSTAINABLE ENERGY REVIEWS

【影响因子】16.799

【主题类别】

区块链应用-实体经济-车辆领域

【Abstract】The unprecedented proliferation of electric vehicles is envisioned to revolutionize the Intelligent Transportation System as an energy-efficient and environment-friendly alternative to fossil-fuel vehicles. Despite the indispensable benefits of electric vehicles, the enormous and fluctuating energy demand for electric vehicles can imperil the efficiency and stability of the electric grid, which further necessitates the discussion on balancing the demand and supply for electric vehicle efficient charging at the charging station. Some of the research studies focus on the electric vehicle demand response management but without considering various critical aspects such as security, optimality, and fluctuating parameters (electric load or traffic condition) that impact the net-zero emission or carbon neutrality that is required to fulfil some of the United Nation Sustainable Development Goals. Thus, this research study presented an exhaustive meta-survey to secure electric vehicles' demand response management towards a smart grid environment. Consequently, the research in the meta- survey discussed the taxonomy of demand response for electric vehicles, considering various aspects such as electric vehicle modelling, load forecasting, and optimization techniques. Furthermore, this review studied the holistic discussion on various security techniques such as encryption, authentication, and consensus protocols for protected and preserved electric vehicle demand response management through the smart grid environment. Moreover, a case study is presented that focuses on the security and optimality aspects of demand response management for electric vehicles using blockchain and the reinforcement learning approach. The proposed case study focuses on optimizing electric vehicle energy trading based on optimized energy consumption for secure and efficient demand response management with the smart grid. Finally, the meta-surveys research challenges and future opportunities have been targeted and discussed for secure and optimal electric vehicle demand response management for future works.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Electric vehicle; Demand response management; Smart grid; Optimization techniques; Load forecasting; Reinforcement learning; Blockchain

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1016/j.rser.2024.114748

【Author】 Ali, Sadia Samar Torgul, Belkiz Paksoy, Turan Luthra, Sunil Kayikci, Yasanur

【Source】BUSINESS STRATEGY AND THE ENVIRONMENT

【影响因子】10.801

【主题类别】

区块链应用-实体经济-纺织领域

【Abstract】The sustainability strategy focuses on conscious production and consumption, with the circular economy (CE) as an innovative approach to maximize resource value and minimize waste. Industry 4.0 technologies like AI, robotics, and blockchain play a significant role in enhancing the competitiveness of businesses pursuing the CE. These advanced technologies help organizations achieve their sustainability goals, particularly within the CE framework. The study analyses how Industry 4.0-driven CE practices impact sustainable business performance, using the Indian textile industry as a case study. The researchers developed a three-stage hybrid decision-making framework, integrating various methods to assess sustainable performance. A novel three-stage hybrid decision-making framework was developed by integrating Kendall's agreement test (Kendall's W), fuzzy Delphi, best-worst method (BWM), full consistency method (FUCOM), and combined compromise solution (CoCoSo) methods. The findings highlight positive outcomes such as enhanced incentives, government support, greener logistics, and improved monitoring of emissions, waste, and pollution. However, there is room for further improvements to address market demand and increase the profitability of green products.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】circular economy; hybrid method; Industry 4.0; Kendall's W; smart circularity performances; smart circularity practices

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 案例研究

【DOI】 10.1002/bse.3892

【Author】 Kannan, Devika Amiri, Alireza Shamekhi Shaayesteh, Mayssam Tarighi Nasr, Arash Khalili Mina, Hassan

【Source】BUSINESS STRATEGY AND THE ENVIRONMENT

【影响因子】10.801

【主题类别】

区块链应用-实体经济-车辆领域

【Abstract】Although Industry 4.0 plays the role of a catalyst in the transition from a linear economy to a circular economy (CE), some sustainability goals are neglected by prioritizing machines over humans. Industry 5.0 insists on combining technology with human values to achieve sustainable development goals. Therefore, the integration of CE and Industry 5.0 leads to sustainable synergy in various industries, especially in manufacturing industries. However, their integration is always associated with challenges and barriers. This study identifies a set of these barriers in the electric vehicle battery production industry from the financial, technical, supply chain, cultural, and regulatory and processes perspectives through a deep literature review. The fuzzy weighted influence non-linear gauge system method is used to analyze the relationship between identified barriers and their prioritization. Finally, we leverage the knowledge of four experts from an electric vehicle battery manufacturing company in Southeast Asia to validate the proposed approach and to rank the barriers. The results demonstrate that immature technology providers are the biggest obstacle in the integration of blockchain-based CE and Industry 5.0 in the electric vehicle battery manufacturing industry.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain technology; circular economy; electric vehicle battery production; fuzzy weighted influence nonlinear gauge system method; Industry 4.0; Industry 5.0

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1002/bse.3886

【Author】 Sam, S. Jerrin Issac Jasim, K. Mohamed Babu, Manivannan

【Source】JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT

【影响因子】9.821

【主题类别】

区块链治理-市场治理-元宇宙

【Abstract】Using machine learning, we examined customers' opinions about the metaverse in the hospitality industry (encompassing hotels, restaurant, gaming, virtual events, tours and travel). A total of 8,855 tweets were collected from Twitter (now called X), and machine learning algorithms such as sentiment analysis and topic modeling were performed using Python libraries to capture the important topics related to metaverse applications. Nearly two thirds of the collected tweets (60.9%) contained a mostly positive general sentiment toward the use of the metaverse. Six important topics emerged from the topic modeling: gaming, virtual events, virtual sightseeing, travel, business and blockchain. Despite numerous studies on the proper integration of the metaverse, VR and AR, to the best of our knowledge, this is one of the first studies conducted to determine the customer experience of the metaverse in the hospitality industry using social media data. (sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)((sic)(sic)(sic)(sic),(sic)(sic),(sic)(sic),(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)). (sic)Twitter((sic)(sic)(sic)(sic)X)(sic)(sic)(sic)(sic)(sic)8855(sic)(sic)(sic),(sic)(sic)(sic)Python(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(60.9%)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic):(sic)(sic),(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic),(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)(sic),VR(sic)AR(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Metaverse; hospitality; hotels; natural language processing; sentiment analysis; topic modelling

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1080/19368623.2024.2383455

【Author】 Chen, Zhuowen Sarkis, Joseph Yildizbasi, Abdullah

【Source】INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

【影响因子】9.018

【主题类别】

区块链应用-实体经济-供应链

【Abstract】Lithium-ion battery (LIB) circular supply chains (CSCs) present unique safety challenges among operation processes. Blockchain technology can be a promising solution for addressing these challenges, by enabling effective tracking and verification of safety-related information throughout the supply chain. However, how blockchain can mitigate safety issues from a supply chain perspective is poorly understood. This study proposes a theory-supported framework through intervention-based research (IBR) to provide guidance for LIB CSC safety management. The conceptual framework and theoretical propositions set the foundation for research on a comprehensive blockchain ecosystem specifically designed for CSC safety management. The framework includes the design of a blockchain architecture with capabilities tailored to address safety concerns, the involvement of multiple stakeholders, and the development of a safety measurement matrix. This study suggests research and practical directions which lay the groundwork for leveraging blockchain technology to improve safety management in LIB CSC. This research contributes to sustainable supply chains by proposing a conceptual framework for mitigating safety concerns in LIB CSC, paving the way for effective blockchain implementation. In addition, this study contributes to advancing the theoretical design understanding and application of blockchain technology in CSC safety management.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; lithium-ion battery supply chain; circular economy; stakeholder theory; performance measurement

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 理论模型

【DOI】 10.1080/00207543.2024.2381224

【Author】 Varriale, Vincenzo Camilleri, Mark Anthony Cammarano, Antonello Michelino, Francesca Mueller, Julian Strazzullo, Serena

【Source】SUSTAINABLE DEVELOPMENT

【影响因子】8.562

【主题类别】

区块链应用-实体经济-可持续发展领域

【Abstract】Digital technologies have the potential to support achieving the Sustainable Development Goals (SDGs). Existing scientific literature lacks a comprehensive analysis of the triple link: "digital technologies - different industry sectors - SDGs". By systematically analyzing extant literature, 1098 sustainable business practices have been collected from 578 papers, using 11 digital technologies in 17 industries to achieve the 17 SDGs. For instance, find that artificial intelligence can be used to achieve affordable and clean energy (SDG 7), responsible consumption and production (SDG 12) as well as to address climate change (SDG 13). Further, geospatial technologies may be applied in the agricultural industry to reduce hunger in various domains (SDG 2), to foster good health and well-being (SDG 3), to improve the availability of clean water and sanitation facilities (SDG 6), raise awareness on responsible consumption and production (SDG 12), and to safeguard life on land (SDG 15), among other insights.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】artificial intelligence; blockchain; digital transformation; sustainability; sustainable development goals

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1002/sd.3139

【Author】 Niu, Yuxiang Fu, Yelin Liu, Xinlai Harish, Arjun Rachana Li, Ming Huang, George Q.

【Source】CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT

【影响因子】8.464

【主题类别】

区块链应用-实体经济-环境领域

【Abstract】Environmental, social, and governance (ESG) disclosure has drawn much attention from listed companies, investors, and regulators. In response to the increasing demand of investors and regulators for non-financial information, listed companies have paid attention to publishing ESG reports consisting of environmental, social, and governance information. Listed companies are increasingly required to provide high-quality information that is clear and comparable. However, the lack of incentive to listed companies makes it hard to improve the quality of ESG disclosure, and the cost of ESG disclosure leads to the uncontrollable quality of ESG reports and may even manipulation by opportunistic behaviors. In this paper, we illustrate the moral hazard problem in ESG disclosure from the perspective of investors and listed companies, in which the effort level for listed companies to provide high-quality ESG report cannot be observed by investors. Then we propose a blockchain-based incentive mechanism for ESG disclosure from a principal-agent perspective to improve the information quality of ESG disclosure, where investors act as principal and listed companies act as agents. Token in blockchain technology is utilized as the rewards to improve the listed companies' reputation, thus increasing their chance of being promoted to investors for preferential investment opportunities in the blockchain platform. We then design the first-best (FB) and second-best (SB) optimal contracts based on classic principal-agent model to overcome the moral hazard problem. Extensive simulations are conducted to demonstrate the effectiveness and feasibility of the incentive mechanism.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; ESG disclosure; incentive mechanism; principal-agent model

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 理论模型

【DOI】 10.1002/csr.2916

【Author】 Ardia, David Bluteau, Keven

【Source】INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS

【影响因子】8.235

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】We study the relation between the promotion of a cryptocurrency on Twitter and its return dynamics around pump-and-dump events. By analyzing abnormal returns, trading volume, and tweet activity, we uncover that Twitter effectively garners attention for pump-and-dump schemes, leading to notable effects on abnormal returns before the event. Our results indicate that investors relying on Twitter information exhibit delayed selling behavior during the post-dump phase, resulting in significant losses compared to other participants. We also find that, while tweets directly promoting pump schemes align with anticipated market phases, a noteworthy portion of indirect, non-pump-aware tweets significantly influence market movements pre-event.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrencies; Event-study; Pump-and-dump; Twitter

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1016/j.irfa.2024.103479

【Author】 Ben Jabeur, Sami Gozgor, Giray Rezgui, Hichem Mohammed, Kamel Si

【Source】INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS

【影响因子】8.235

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】Quantum computing and digital currencies & iecy;m & iecy;rg & iecy;s as an & iecy;ss & iecy;ntial ar & iecy;a of inquiry within th & iecy; r & iecy;alms of science, technology, and finance. A pivotal y & iecy;t l & iecy;ss & iecy;xplor & iecy;d aspect of this area p & iecy;rtains to th & iecy; d & iecy;v & iecy;lopm & iecy;nt traj & iecy;ctory of quantum computing r & iecy;s & iecy;arch in enhancing financial markets trading and as diversification portfolio instrument. This research investigates the different portfolio strategies and the dynamic dependence between quantum computing stocks and Bitcoin using daily data from August 11, 2010, to September 6, 2023. For this purpose, the paper utilises the Wavelet Local Multiple Correlation (WLMC), the Dynamic Conditional Correlation- Generalized AutoRegressive Conditional Heteroskedasticity (DCC-GARCH) methods, and portfolio optimisation implications. The results show a strong dependence on the time-scale domain, specifically after 2020. Th & iecy; tim & iecy; & iecy;volution of cumulativ & iecy; r & iecy;turns for th & iecy; Minimum Varianc & iecy; Portfolio (MVP), Minimum Corr & iecy;lation Portfolio (MCP), and Minimum Conn & iecy;ct & iecy;dn & iecy;ss Portfolio (MCoP) & iecy;vid & iecy;nt that MVP & iecy;xhibits consid & iecy;rably low & iecy;r cumulativ & iecy; r & iecy;turns compared to MCP and MCoP, given th & iecy; the significant inv & iecy;stm & iecy;nt w & iecy;ight of Bitcoin, IBM and NVDA markets. The findings are crucial for investors, policymakers, and regulators, providing a detailed understanding of the dynamic interplay between quantum computing stocks and Bitcoin and enabling more informed and strategic investment decisions.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Quantum computing; Bitcoin; WLMC; Portfolio hedging; DCC-GARCH

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1016/j.irfa.2024.103478

【Author】 Ma, Deqing Li, Kaifu Wu, Xueping Zhu, Jiaqi Hu, Jinsong

【Source】COMPUTERS & INDUSTRIAL ENGINEERING

【影响因子】7.180

【主题类别】

区块链应用-实体经济-数字化平台

【Abstract】In a platform-based supply chain, an online platform can act as a reseller (R) or a marketplace (A) for the manufacturer. Under each selling format, sales services can be provided by the manufacturer (M) or the platform (I). Besides, facing the problem of counterfeits and consumer mistrust, the platform can implement blockchain as a solution (B) or not (N). The combination of selling format selection strategy, service provision strategy, and blockchain implementation strategy produces 8 models: NMR, NMA, NIR, NIA, BMR, BMA, BIR, and BIA. On this basis, we explore the interaction of the three strategies and obtain a triple optimal combination (TOC). We find that blockchain implementation is always beneficial to the manufacturer and consumers, but blockchain will only be implemented by the platform and be beneficial to society when certain conditions are met. Under the reselling format, the manufacturer always prefers to authorize services to the platform; under the agency selling format, the manufacturer decides on the service provider according to commission rates. Based on the double optimal equilibrium, we further analyze the platform's selling format selection with the consideration of the manufacturer's preference and draw some interesting conclusions: When the commission rate is moderate in the lower commission rate range, the TOC is the BMA model; when both the commission rate and service efficiency are higher in the lower commission rate range or when the commission rate is lower in the higher commission rate range and service efficiency is high, the TOC is the BIR model.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Platform-based supply chain; Selling format; Service provision strategy; Blockchain implementation

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 理论模型

【DOI】 10.1016/j.cie.2024.110413

【Author】 Castro, Cecilia Leiva, Victor Garrido, Diego Huerta, Mauricio Minatogawa, Vinicius

【Source】COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

【影响因子】7.027

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】This study conducts a comprehensive analysis on the usage of the blockchain technology in clinical trials, based on a curated corpus of 107 scientific articles from the year 2016 through the first quarter of 2024. Utilizing a methodological framework that integrates bibliometric analysis, network analysis, thematic mapping, and latent Dirichlet allocation, the study explores the terrain and prospective developments within this usage based on data analytics. Through a meticulous examination of the analyzed articles, the present study identifies seven key thematic areas, highlighting the diverse applications and interdisciplinary nature of blockchain in clinical trials. Our findings reveal blockchain capability to enhance data management, participant consent processes, as well as overall trial transparency, efficiency, and security. Additionally, the investigation discloses the emerging synergy between blockchain and advanced technologies, such as artificial intelligence and federated learning, proposing innovative directions for improving clinical research methodologies. Our study underscores the collaborative efforts in dealing with the complexities of integrating blockchain into the areas of clinical trials and healthcare, delineating the transformative potential of blockchain technology in revolutionizing these areas by addressing challenges and promoting practices of efficient, secure, and transparent research. The delineated themes and networks of collaboration provide a blueprint for future inquiry, showing the importance of empirical research to narrow the gap between theoretical promise and practical implementation.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Artificial intelligence; Bibliometry; Blockchain technology; Data management; Interdisciplinary research; Latent Dirichlet allocation; Network analysis; PRISMA methodology

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 综述

【DOI】 10.1016/j.cmpb.2024.108321

【Author】 Amaral de Sousa, Victor Burnay, Corentin Snoeck, Monique

【Source】BUSINESS & INFORMATION SYSTEMS ENGINEERING

【影响因子】5.675

【主题类别】

区块链技术-核心技术-智能合约

【Abstract】Smart contracts can be used to support the execution of cross-organizational business processes involving mutually distrusting participants. Model-driven engineering is often used to generate such contracts and requires an appropriate blockchain-enabled process modeling language. Although artifact-centric languages are recommended in this context to support the business objects, lifecycles and cross-organizational process dimensions, most approaches rely on activity-centric languages such as BPMN. The few artifact-centric ones lack integrated support for one or more of these dimensions. To address this issue, in this paper we apply the design science research methodology. The authors propose a set of requirements for artifact-centric and blockchain-enabled business process modeling languages. It is used to evaluate existing work and present the design and demonstration of the B-MERODE language as an improved solution. The models created with the language can be formally verified and used as input to automatically generate smart contracts supporting the required process dimensions.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Smart contract; Business process; Artifact-centric; Model-driven

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1007/s12599-024-00885-4

【Author】 El Hathat, Zakaria Venkatesh, V. G. Sreedharan, V. Raja Zouadi, Tarik Manimuthu, Arunmozhi Shi, Yangyan Srinivas, S. Srivatsa

【Source】INFORMATION SYSTEMS FRONTIERS

【影响因子】5.261

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】As emphasized in multiple United Nations (UN) reports, sustainable agriculture, a key goal in the UN Sustainable Development Goals (SDGs), calls for dedicated efforts and innovative solutions. In this study, greenhouse gas (GHG) emissions in the groundnut supply chain from the region of Diourbel & Niakhar, Senegal, to the port of Dakar are investigated. The groundnut supply chain is divided into three steps: cultivation, harvesting, and processing/shipping. This work adheres to UN guidelines, addressing the imperative for sustainable agriculture by applying machine learning-based predictive modeling (MLPMs) utilizing the FAOSTAT and EDGAR databases. Additionally, it provides a novel approach using blockchain-enabled off-chain machine learning through smart contracts built on Hyperledger Fabric to secure GHG emissions storage and machine learning's predictive analytics from fraud and enhance transparency and data security. This study also develops a decision-making dashboard to provide actionable insights for GHG emissions reduction strategies across the groundnut supply chain.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Groundnut supply chain; Sustainable agriculture; Greenhouse gas (GHG) emissions; Blockchain smart contracts; Machine learning; Senegal

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1007/s10796-024-10514-w

【Author】 Rubin, Eran Iriberri, Alicia Ayaburi, Emmanuel

【Source】INTERNATIONAL JOURNAL OF BANK MARKETING

【影响因子】5.083

【主题类别】

区块链应用-实体经济-商业领域

【Abstract】PurposeWe analyze the role of trust as a driver of speculative investment decisions in technology firms.Design/methodology/approachStructural Equation Modeling analysis in the context of blockchain technology supports our hypotheses.FindingsOur findings indicate that a general propensity to trust technology leads to trusting beliefs in a service based on technology and that trusting beliefs in a technological service leads to a higher propensity to invest in any firm associated with that service. In addition, we show that in a non-technological context, there is no evidence for such an effect of trusting beliefs in a service on investment decisions. These results support the notion that trusting beliefs are facilitators of speculative investment in technology firms.Research limitations/implicationsThe research advances knowledge about the influence of trust in technology on investment decisions; its findings can help build new theoretical models regarding investment decisions using Fintech.Practical implicationsFor investors, it is important to realize the potential bias identified in this study, so they can actively avoid adhering to it, thus avoiding exposure to unnecessary risk. Further, beyond individual investors, investment firms take active measures to avoid biases in their own decision-making. Banks and investment firms can help guide their clients about trust-based bias when building their investment portfolio.Originality/valueAlthough trust in information systems has been studied extensively, research on the relationship between trust in technology and decisions to invest in technology-related firms is limited.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Trust; Investment; Technology; Blockchain; Biased decision-making

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1108/IJBM-02-2024-0084

【Author】 Ashok, Kanneboina Gopikrishnan, S.

【Source】JOURNAL OF INFORMATION SECURITY AND APPLICATIONS

【影响因子】4.960

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】It proposes a Hybrid Secure Signcryption Algorithm (HySSA), a small-size block chain (BC), and a planned system that secures an electronic health record (EHR) exchange through enabled device transmissions with minimal encryption and signature overhead. HySSA has two stages of operation. Patients are fitted with proximity sensor nodes (PSNs), which establish a wireless personal area network (WBAN) in the first phase of the procedure. It is up to the nodes to decide which cluster head (CH) in their vicinity can send data to the WBAN's Gateway sensor nodes (GSN) containing EHR meta-data. Second, GSN implements a lightweight signcryption technique for authorized stakeholders that combines data encryption and signing in the second phase of its development. An interplanetary file system provides secure keys for access to the data, which is exchanged over open channels (IPFS). Data mining results are stored to lower computing expenses, and block ledgers are used in global chain architectures. Compared to other schemes, the proposed HySSA scheme is cheaper for transaction and signing expense parameters, throughput of transactions, and computational and communication expenses. It takes HySSA a standard of 3.32 s (s) to sign and 6.52 s (s) to verify in simulation. It takes 3.325 s to mine 200 blocks, compared to 7.8 s for traditional schemes. The throughput of transactions was 142.78 Mbps, as opposed to the standard 102.45 Mbps. Computing time (CC) is 45.80 ms, while communication time (CCM) is 97 bytes, indicating that the suggested approach is competitive with other current approaches in terms of security.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】IoMT; Data security; Signcryption; Electronic health records; WBAN; Cluster head

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1016/j.jisa.2024.103836

【Author】 Gao, Jie Liang, Bo

【Source】INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

【影响因子】4.420

【主题类别】

区块链技术-核心技术-区块链网络

【Abstract】Cloud manufacturing (CM) promotes the development of small and medium-sized manufacturing enterprises (SMMEs) by integrating resources and collaboratively providing users with diversified services. However, the implementation of CM for SMMEs faces several challenges, such as the excessive centralization of enterprise management, poor dynamic adaptability of service composition, and insecurity of data information. To address these issues, this paper proposes a DNA-like blockchain model (DNABM) based on blockchain technology. The DNABM consists of a service information chain (SIC) and a manufacturing process chain (MPC). The SIC nodes (SIblocks) are formed based on the corresponding subtasks to record information about all manufacturing services that can complete the subtasks. The MPC nodes (MPblocks) are formed by selecting the most suitable services from the SIblocks. The DNABM has advantages of flexible service management, dynamically adaptable service compositions, and securely managed manufacturing enterprise data across various levels. Finally, taking the foundry industry as an example, demonstrating how the DNABM can promote the collaboration of SMMEs in CM. However, the actual implementation of the DNABM is still limited by the large number of heterogeneous tasks and services, the low utilization rate of process data, and the lack of coordination compatibility between services.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; service composition; cloud manufacturing; smart contract

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1080/0951192X.2024.2382206

【Author】 Lee, Suzanne S. Wang, Minho

【Source】JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS FT50

【影响因子】4.337

【主题类别】

区块链治理-市场治理-价格预测

【Abstract】This article examines how realized variances predict cryptocurrency returns in the cross section using intraday data. We find that cryptocurrencies with higher variances exhibit lower returns in subsequent weeks. Decomposing total variances into signed jump and jump-robust variances reveals that the negative predictability is attributable to positive jump and jump-robust variances. The negative pricing effect is more pronounced for smaller cryptocurrencies with lower prices, less liquidity, more retail trading activities, and more positive sentiment. Our results suggest that cryptocurrency markets are unique because retail investors and preferences for lottery-like payoffs play important roles in the partial variance effects.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1017/S002210902400022X

【Author】 Bonhoure, Emilie

【Source】INFORMATION TECHNOLOGY FOR DEVELOPMENT

【影响因子】4.261

【主题类别】

区块链应用-虚拟经济-数字经济

【Abstract】M-Pesa is one leading example of mobile money services. It reveals the importance of digital financial inclusion (DFI) in countries still largely unbanked, and of institutional factors in shaping DFI. Yet, extant research has not investigated the combined effect of these factors, informal (indigenous knowledge) and formal (regulatory) institutions, on DFI. This study intends to do so leveraging the institutional theory and applying regression techniques to data from 1000 digital-finance users. It reveals different effects of institutional factors across regions. In Europe, strong formal institutions shape DFI. In Sub-Saharan Africa (SSA), weak institutions combined with high indigenous knowledge increase DFI. These findings are crucial for countries' development, as financial inclusion is considered a key enabler of several SDGs (Sustainable Development Goals). They could help adapt financial-inclusion programs by including the indigenous-knowledge component in countries facing weak formal institutions, to maximize their chances of success in fostering development and growth.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Indigenous knowledge; digital financial inclusion; mobile money; fintech; bigtech; cryptocurrency

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1080/02681102.2024.2384716

【Author】 Alshater, Muneer Nasrallah, Nohade Khoury, Rim Joshipura, Mayank

【Source】ELECTRONIC COMMERCE RESEARCH

【影响因子】3.462

【主题类别】

区块链应用-虚拟经济-NFT

【Abstract】This study presents a hybrid review of Non-Fungible Tokens (NFTs) utilizing a hybrid approach based on bibliometric and content analyses. Employing the Scopus database, we conducted a bibliometric analysis of 210 articles. Additionally, a thorough content analysis of the 43 most influential papers, filtered based on their publication in highly-ranked journals, is included to highlight key research themes and sub-themes. Most of the surveyed papers were qualitative and offered conceptual frameworks for NFT-based solutions to validate NFTs' applicability and propagation of NFTs in various fields. The content analysis identifies six key streams: the common characteristics of NFTs, their expansion into creative industries, applications in both physical and digital realms, NFT-related hype on social media platforms, environmental impacts, market biases, legal and privacy issues, NFTs pricing strategies, diversification potential and connectedness, and the evolving role of NFTs in virtual and augmented reality landscapes. This study holds significant implications for managers, portfolio managers, investors, policymakers, and regulators.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Non-fungible tokens (NFTs); Blockchain; Virtual reality; Smart contracts; Metaverse; ERC721; ERC-20; G12; O33; K11; L86

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 综述

【DOI】 10.1007/s10660-024-09881-y

【Author】 Liu, Meilin Pan, Xiaojun Pu, Chengyi

【Source】JOURNAL OF ADVANCED NURSING

【影响因子】3.057

【主题类别】

区块链应用-实体经济-健康领域

【Abstract】

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 综述

【DOI】

【Author】 Alqarni, Amani

【Source】KYBERNETES

【影响因子】2.352

【主题类别】

区块链应用-实体经济-知识产权

【Abstract】PurposeThe purpose of this study is to address the limitations of traditional methods for managing intellectual property rights (IPRs) by proposing a blockchain-based solution. By leveraging blockchain technology and smart contracts, the aim is to create a comprehensive ecosystem that offers advantages such as reduced transaction costs, improved transparency, enhanced security and increased liquidity levels for IP assets.Design/methodology/approachThis paper proposes using blockchain technology to manage intellectual property rights (IPRs) through a smart contract-based ecosystem. It outlines the use of non-fungible tokens (NFTs) on the blockchain to represent IPRs, with smart contracts automating interactions and encoding rules for various processes such as applications, licensing, transfers and royalty distribution. Governance mechanisms, such as decentralized autonomous organizations (DAOs), are employed to allow stakeholders to propose and vote on contract changes, ensuring adaptability. This approach aims to streamline IPR workflows, reduce transaction costs, improve transparency and enhance security.FindingsThe findings of this study suggest that implementing a blockchain-based ecosystem for managing intellectual property rights (IPRs) can lead to various benefits. These include reduced transaction costs, improved transparency, enhanced security, increased liquidity levels for IP assets and streamlined automated processes. The use of non-fungible tokens (NFTs) on the blockchain allows for detailed management, valuation and trading of IPRs. Furthermore, simulation results demonstrate the robustness and efficiency of our proposed ecosystem, outperforming traditional IP management systems in terms of transaction speed and cost-effectiveness. These simulations highlight the practical viability of integrating blockchain technology into IP management workflows.Practical implicationsThe practical implications of adopting this blockchain-based ecosystem for managing intellectual property rights (IPRs) are significant. By streamlining processes, reducing transaction costs and improving transparency and security, organizations can expedite the protection and commercialization of their IP assets. Additionally, the increased liquidity levels and accessibility of IP assets to investors and financiers can spur innovation and economic growth.Originality/valueThis paper contributes to the field by proposing a novel approach to managing intellectual property rights (IPRs) using blockchain technology and smart contracts. By leveraging non-fungible tokens (NFTs) on the blockchain, the proposed ecosystem offers a more efficient and transparent way of managing IPRs, reducing reliance on costly and opaque traditional methods. The potential benefits include improved efficiency, transparency, security and collaboration in the management and commercialization of IPRs.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain technology; Smart contracts; Intellectual property rights; Contractual ecosystem; Commercialization

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1108/K-04-2024-1074

【Author】 Bargayary, Birglang Medhi, Nabajyoti

【Source】JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT

【影响因子】2.198

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Integrating Software-Defined Networking (SDN) with the Internet of Things (IoT) simplifies the management of IoT devices; however, it introduces security challenges. Adversaries may manipulate forwarding rules to redirect communication, compromising user security. Additionally, the centralized nature of SDN-enabled IoT networks poses a single point of failure during master controller failure. To address these issues, we present SDBlock-IoT, a distributed SDN architecture based on blockchain technology. This ensures increased resiliency in the event of master controller failure. Our proposed model considers response time and resource utilization of equal controllers, ensuring the most suitable controller assumes the role of master controller. We enhance the integrity of OpenFlow forwarding rules through the Smart Agent and SC, which validate whether a flow is registered on the blockchain or not. The Smart Agent verifies forwarding rules for every new flow request. We conducted experiments on hardware SDN switches using a Ryu OpenFlow controller and a private blockchain, demonstrating the effectiveness of our approach. Evaluation results indicate that SDBlock-IoT outperforms existing solutions in terms of flow verification time, controller recovery time, CPU utilization, and transaction costs.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Internet of things; OpenFlow; SDBlock-IoT; Software-defined networking

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1007/s10922-024-09844-6

【Author】 Park, Youngho Shin, Su Jin Shin, Sang Uk

【Source】CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

【影响因子】2.027

【主题类别】

区块链技术-协同技术-云计算

【Abstract】Data trading enables data owners and data requesters to sell and purchase data. With the emergence of blockchain technology, research on blockchain-based data trading systems is receiving a lot of attention. Particularly, to reduce the on-chain storage cost, a novel paradigm of blockchain and cloud fusion has been widely considered as a promising data trading platform. Moreover, the fact that data can be used for commercial purposes will encourage users and organizations from various fields to participate in the data marketplace. In the data marketplace, it is a challenge how to trade the data securely outsourced to the external cloud in a way that restricts access to the data only to authorized users across multiple domains. In this paper, we propose a cross-domain bilateral access control protocol for blockchain-cloud based data trading systems. We consider a system model that consists of domain authorities, data senders, data receivers, a blockchain layer, and a cloud provider. The proposed protocol enables access control and source identification of the outsourced data by leveraging identity-based cryptographic techniques. In the proposed protocol, the outsourced data of the sender is encrypted under the target receiver's identity, and the cloud provider performs policy-match verification on the authorization tags of the sender and receiver generated by the identity-based signature scheme. Therefore, data trading can be achieved only if the identities of the data sender and receiver simultaneously meet the policies specified by each other. To demonstrate efficiency, we evaluate the performance of the proposed protocol and compare it with existing studies.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Bilateral access control; blockchain; data sharing; policy-match

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.32604/cmes.2024.052378

【Author】 Xie, Sha Yan, Lili Zhang, Shibin Chang, Yan Lv, Zhiying

【Source】QUANTUM INFORMATION PROCESSING

【影响因子】1.965

【主题类别】

区块链技术-核心技术-数据管理

【Abstract】The current blockchain systems lack the ability to resist quantum computing attacks. This puts the confidentiality and integrity of data in blockchain-based data sharing at risk. The security of data sharing faces the new challenges. In this paper, a blockchain data sharing scheme based on quantum re-encryption is proposed. The presented scheme uses quantum key and unitary matrix to encrypt data for two times. It ensures data sharing between the data owner and the data accessor without revealing the owner's private key. Moreover, it utilizes a quantum hash function based on controlled alternate quantum walks to compute quantum hash value. The obtained hash value has higher randomness, collision resistance and input sensitivity. Additionally, this method combines on-chain and off-chain storage. The combined storage method effectively alleviates the storage pressure on the blockchain. Finally, the security of the proposed scheme is analyzed. The results show that this scheme ensures the integrity, confidentiality and non-tampering of the shared data. At the same time, it protects the security of data owner's private keys.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Data sharing; Quantum hash function; Quantum cryptography; Quantum walk

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1007/s11128-024-04466-y

【Author】 Vivek, M. Anusuya, K., V

【Source】IETE JOURNAL OF RESEARCH

【影响因子】1.877

【主题类别】

区块链应用-实体经济-投票领域

【Abstract】Electronic voting is an efficient way of conducting the voting process, which has the characteristics of real-time data and massive data and demands high security. In this paper, we propose a novel approach for electronic voting that utilizes decentralized network architecture with Blockchain and Hybrid cryptography techniques. Our system aims to address the challenges faced in administering EVMs and ensuring high security in strong rooms, which can lead to privacy and security flaws in the voting system. Our proposed model utilizes a wireless mesh topology to enlist vote details and modernize the chain of blocks, resulting in improved data confidentiality and reduced human resources. A customized UDP packet structure is designed to avoid port scanning and network traces, while the use of port numbers is eliminated for increased security. We also incorporate a three-layer encryption stack for secure key exchanges, which ensures perfect forward secrecy and an uncompromised state of the packet. By reducing the number of threads needed for Transport layer Protocol (TCP) connections; our proposed model improves the speed and security of the existing architecture. Overall, our approach offers a highly secure and efficient electronic voting system that meets the demands of secrecy, accuracy, and neutrality in the process of voting and counting. Our proposed system has the potential to prevent poll rigging by trespassers, ensuring a fair and trustworthy electoral process.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Confidentiality; Customized UDP; E-voting; EVM; Hybrid cryptography

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1080/03772063.2024.2373889

【Author】 Li, Nan Li, Yingjiu Manulis, Mark Tian, Yangguang Yang, Guomin

【Source】COMPUTER JOURNAL

【影响因子】1.762

【主题类别】

区块链技术-核心技术-可编辑区块链

【Abstract】Policy-based chameleon hash functions have been widely proposed for its use in blockchain rewriting systems. They allow anyone to create a mutable transaction associated with an access policy, while an authorized user who possesses sufficient rewriting privileges from a trusted authority satisfying the access policy can rewrite the mutable transaction. However, existing chameleon hash functions lack certain fundamental security guarantees, including forward security and backward security. In this paper, we introduce a new primitive called forward/backward-secure policy-based chameleon hash (FB-PCH for short). We present a practical instantiation. We prove that the proposed scheme achieves forward/backward-secure collision-resistance, and show its practicality through implementation and evaluation analysis.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1093/comjnl/bxae075

【Author】 Ramya, R. R. Banumathi, J.

【Source】ELECTRICAL ENGINEERING

【影响因子】1.630

【主题类别】

区块链技术-协同技术-物联网

【Abstract】In the swiftly evolving arena of energy management and distribution, the integration of internet of things (IoT) technology stands as a dynamic promoter, especially within the environment of smart grid systems. Smart grids use IoT-enabled sensors to facilitate the seamless exchange of critical information through web applications and the internet, ushering in an era of enhanced grid management. These systems represent a critical aspect of modern energy infrastructure, aiming to address pressing issues such as energy efficiency, sustainability, and reliability. This integration ensures cost-effectiveness, intelligent features, and reliability while reducing the need for human intervention. IoT in smart grids emphasizes two-way communication among various devices and components. This proposed presents a novel approach to smart grid systems incorporating renewable photovoltaic (PV) and wind systems, alongside battery storage. Continuous monitoring of parameters such as V_PV, I_PV, V_DC, V_g, I_g and battery state-of-charge (SOC) is crucial for optimizing system performance. To transmit this data efficiently, suitable protocols are required. In this work, hybrid Adaptive Neuro Fuzzy Inference System-Sea Lion Optimization (ANFIS-SLnO) for effective data routing, which results in improved energy efficiency, and network lifetime. Moreover, a robust key management using 128-bit cryptography keys is implemented for secured data transfer, assuring data integrity, authentication, and enhanced protection. The outcomes of proposed smart grid system are evaluated using MATLAB and the parameters monitored using sensors is displayed via the Adafruit web application. In comparative evaluations, the proposed approach consistently outperforms existing methods, establishing itself as an efficient and resilient solution for secure data transfer within smart grids with a reduced delay of 0.10 s and packet loss of 3.54%. The time taken by the proposed work for encryption and decryption are given by 0.0022 s and 0.00315 s, respectively.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】ANFIS-SLnO; 128-bit cryptography keys; Energy management; Internet of things; Smart grid

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实验仿真

【DOI】 10.1007/s00202-024-02636-w

【Author】 Balutel, Daniela Engert, Walter Henry, Christopher S. Huynh, Kim P. Voia, Marcel

【Source】CANADIAN JOURNAL OF ECONOMICS-REVUE CANADIENNE D ECONOMIQUE

【影响因子】1.301

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】This paper studies the dynamics of bitcoin ownership from 2016 to 2021, using the Bank of Canada's Bitcoin Omnibus Surveys. The estimated rate of bitcoin ownership jumped to 13% in 2021, up from the 5% observed in the previous three years. On one hand, this increase reflected broader economic trends related to increased savings and investment of Canadians during the COVID-19 pandemic, along with financial technology companies providing accessible and user-friendly platforms for buying bitcoin. Looking deeper, we use econometric models to quantify several specific ways in which bitcoin became more mainstream as an investment in 2021. Finally, we investigate the high cash holdings of bitcoin owners across time. Explication de la possession de bitcoins au Canada : tendances de 2016 & agrave; 2021. Cet article & eacute;tudie la dynamique de la possession de bitcoins entre 2016 et 2021, en s'appuyant sur les r & eacute;sultats des enqu & ecirc;tes-omnibus sur le bitcoin men & eacute;es par la Banque du Canada. Le taux estim & eacute; de possession de bitcoins a grimp & eacute; & agrave; 13 % en 2021, par rapport & agrave; 5 % au cours des trois ann & eacute;es pr & eacute;c & eacute;dentes. D'une part, cette augmentation refl & egrave;te des tendances & eacute;conomiques plus larges li & eacute;es & agrave; l'augmentation de l'& eacute;pargne et de l'investissement des Canadiens pendant la pand & eacute;mie de COVID-19, ainsi qu'aux soci & eacute;t & eacute;s de technologies financi & egrave;res fournissant des plateformes accessibles et conviviales pour l'achat de bitcoins. Pour aller plus loin, nous utilisons des mod & egrave;les & eacute;conom & eacute;triques pour quantifier plusieurs fa & ccedil;ons pr & eacute;cises dont le bitcoin est devenu plus courant en tant qu'investissement en 2021. Enfin, nous & eacute;tudions l'importance des liquidit & eacute;s d & eacute;tenues par les propri & eacute;taires de bitcoins au fil du temps.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1111/caje.12724

【Author】 Mohamad, Azhar Dimitriou, Dimitrios

【Source】APPLIED ECONOMICS LETTERS

【影响因子】1.287

【主题类别】

区块链治理-市场治理-欺诈犯罪

【Abstract】We analyse the impact of cybercrime, particularly cryptocurrency heists and scams, on dynamic conditional correlations and abnormal returns in cryptocurrency. Our high-frequency, hourly data set covers three years, from January 2020 to December 2022, and our results show that certain hacking events have a negligible negative impact on investors, especially when focusing on less popular tokens or coins. This new perspective has significant implications for the investment community. Existing literature generally assumes that the impact of cybercrime is situational and argues for increased awareness, proactive cybersecurity measures and multi-stakeholder collaboration in traditional financial markets such as equities and currencies. However, the cryptocurrency market - a relatively young and still developing area - has a unique dynamic. Less popular tokens or coins often have lower market integration and liquidity, indicating a lower impact of cybercrime. If such a token or coin already has a limited reputation or investor base, the overall negative sentiment may be further mitigated, lessening the expected negative impact.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrency; Bitcoin; cybercrime; hack; scam

【发表时间】2024

【收录时间】2024-08-14

【文献类型】 实证数据

【DOI】 10.1080/13504851.2024.2384529