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Blockchain and the Evolving Financial Market: A Literature Review 区块链与不断发展的金融市场:文献综述
IF 9 Q2 MANAGEMENT Pub Date : 2021-11-19 DOI: 10.1142/s242486222150024x
Anjee Gorkhali, Rajib Chowdhury
Blockchain technology has gained widespread utility, particularly in the field of finance due to the popularity of bitcoin. There are other areas such as energy trade and securities market, which have evolved due to blockchain. These fields are new and building regulations and architecture to enhance their functionality. There are studies on blockchain finance and this paper aims to summarize a few of the pathbreaking studies and guide future research in this field. This paper reviews 77 journal publications related to blockchain from 2018 to 2021 available in the Science Citation Index (SCI) and Social Science Citation Index (SSCI) database. The selected papers have been grouped into 10 categories. This overview indicates that research in blockchain finance needs to focus on developing better privacy and security mechanism as well as better regulations regarding financial transactions not only to benefit from “Initial Coin Offerings”, but also to diversify investor’s risk.
由于比特币的普及,区块链技术已经获得了广泛的应用,特别是在金融领域。还有其他领域,如能源贸易和证券市场,由于区块链而发展。这些领域是新的和建筑法规和架构,以增强其功能。关于区块链金融的研究有很多,本文旨在总结一些具有开创性的研究,指导该领域未来的研究。本文回顾了科学引文索引(SCI)和社会科学引文索引(SSCI)数据库中2018年至2021年与区块链相关的77篇期刊出版物。入选的论文被分为10类。这一综述表明,区块链金融的研究需要专注于开发更好的隐私和安全机制,以及更好的金融交易监管,不仅可以从“首次代币发行”中受益,还可以分散投资者的风险。
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引用次数: 21
Adaptive Shewhart Control Charts Under Fuzzy Parameters with Tuned Particle Swarm Optimization Algorithm 基于调谐粒子群优化算法的模糊参数自适应Shewhart控制图
IF 9 Q2 MANAGEMENT Pub Date : 2021-10-28 DOI: 10.1142/s2424862221500226
A. Amiri, A. Salmasnia, Meraj Zarifi, M. Maleki
In recent years, adaptive control charts in which the design parameters depend on the observed samples have been successfully used as efficient alternatives for traditional control charts with constant parameters. In crisp run control rules, the process state may change very sharply from in-control to out-of-control conditions which increase the rate of false alarms. To overcome this drawback, this paper presents an adaptive Shewhart-type control chart, where the design parameters (sample size ([Formula: see text]), sampling interval ([Formula: see text]), and control limit coefficients ([Formula: see text] and [Formula: see text])) are defined with linguistic variables. To accomplish that, the chart parameters are determined based on the location of eight previous chart statistics using a set of fuzzy rules in a continuous environment. In order to improve the sensitivity of the proposed control chart in detecting small shifts in both location and scale parameters, the adaptive procedure is designed by integration of fuzzy Western Electric rules and fuzzy adaptive sampling rules. After designing the control charts using a fuzzy inference system (FIS), in order to provide an economic design of the proposed control chart, a tuned Particle Swarm Optimization (PSO) algorithm is employed to determine the optimal values corresponding to membership functions of the control chart parameters. Finally, using simulation studies, the capability of the proposed control chart is analyzed and compared with common charts in the literature. The results confirm that under different shifts in location and scale parameters, the proposed control chart outperforms other charts in terms of both economic and statistical criteria.
近年来,设计参数依赖于观测样本的自适应控制图已经成功地取代了传统的常参数控制图。在清晰的运行控制规则中,过程状态可能会从控制状态急剧变化到失控状态,从而增加误报警率。为了克服这一缺点,本文提出了一种自适应shewhart型控制图,其中设计参数(样本量([公式:见文])、抽样间隔([公式:见文])和控制极限系数([公式:见文]和[公式:见文])用语言变量定义。为了实现这一点,图表参数是根据连续环境中使用一组模糊规则的八个前图表统计数据的位置来确定的。为了提高控制图检测位置和尺度参数微小变化的灵敏度,将模糊西电规则与模糊自适应采样规则相结合,设计了自适应程序。在利用模糊推理系统(FIS)设计控制图之后,为了提供所提出的控制图的经济设计,采用粒子群优化算法(PSO)确定控制图参数隶属函数对应的最优值。最后,通过仿真研究,对所提出的控制图的性能进行了分析,并与文献中常见的控制图进行了比较。结果证实,在不同位置和尺度参数的变化下,所提出的控制图在经济和统计标准上都优于其他控制图。
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引用次数: 2
Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study 人工智能在工业4.0中的应用:基于文献的研究
IF 9 Q2 MANAGEMENT Pub Date : 2021-10-21 DOI: 10.1142/s2424862221300040
M. Javaid, Abid Haleem, R. Singh, R. Suman
Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries are focusing on improving product consistency, productivity and reducing operating costs, and they want to achieve this with the collaborative partnership between robotics and people. In smart industries, hyperconnected manufacturing processes depend on different machines that interact using AI automation systems by capturing and interpreting all data types. Smart platforms of automation can play a decisive role in transforming modern production. AI provides appropriate information to take decision-making and alert people of possible malfunctions. Industries will use AI to process data transmitted from the Internet of things (IoT) devices and connected machines based on their desire to integrate them into their equipment. It provides companies with the ability to track their entire end-to-end activities and processes fully. This literature review-based paper aims to brief the vital role of AI in successfully implementing Industry 4.0. Accordingly, the research objectives are crafted to facilitate researchers, practitioners, students and industry professionals in this paper. First, it discusses the significant technological features and traits of AI, critical for Industry 4.0. Second, this paper identifies the significant advancements and various challenges enabling the implementation of AI for Industry 4.0. Finally, the paper identifies and discusses significant applications of AI for Industry 4.0. With an extensive review-based exploration, we see that the advantages of AI are widespread and the need for stakeholders in understanding the kind of automation platform they require in the new manufacturing order. Furthermore, this technology seeks correlations to avoid errors and eventually to anticipate them. Thus, AI technology is gradually accomplishing various goals of Industry 4.0.
人工智能(AI)为工业4.0的最新发展做出了贡献。行业正专注于提高产品一致性、生产力和降低运营成本,他们希望通过机器人和人之间的合作伙伴关系来实现这一目标。在智能工业中,超连接的制造过程依赖于不同的机器,这些机器通过捕获和解释所有数据类型来使用人工智能自动化系统进行交互。智能自动化平台在改造现代生产中起着举足轻重的作用。人工智能提供适当的信息来做出决策,并提醒人们可能出现的故障。行业将使用人工智能来处理从物联网(IoT)设备和连接机器传输的数据,基于他们希望将它们集成到设备中。它为公司提供了完全跟踪整个端到端活动和流程的能力。这篇基于文献综述的论文旨在简要介绍人工智能在成功实施工业4.0中的重要作用。因此,本文的研究目标旨在为研究人员、从业人员、学生和行业专业人士提供方便。首先,它讨论了对工业4.0至关重要的人工智能的重要技术特征和特征。其次,本文确定了实现工业4.0人工智能的重大进步和各种挑战。最后,本文确定并讨论了人工智能在工业4.0中的重要应用。通过广泛的基于回顾的探索,我们看到人工智能的优势是广泛的,利益相关者需要了解他们在新制造秩序中所需的自动化平台。此外,该技术寻求相关性以避免错误,并最终预测错误。因此,人工智能技术正在逐步实现工业4.0的各种目标。
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引用次数: 56
Implementation of the Neural Networks for Improving the Project's Performance of Steel Structures Projects 神经网络在钢结构工程性能改进中的应用
IF 9 Q2 MANAGEMENT Pub Date : 2021-10-18 DOI: 10.1142/s2424862221500251
H. Elhegazy, N. Badra, S. Haggag, Ibrahim Abdel Rashid
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引用次数: 10
PANDA as a Startup-Orientated Cooperative Innovation Strategy for the Chemical and Pharmaceutical Industry 以创业为导向的化学制药行业协同创新战略
IF 9 Q2 MANAGEMENT Pub Date : 2021-09-20 DOI: 10.1142/s2424862221500214
Victoria Wolf, R. Dobrucka, R. Przekop, S. Haubold
Generating innovations is one of the key success factors of companies and organizations. To constantly create new innovations, an effective innovation strategy must be implemented by companies. Therefore, a variation of different strategic frameworks has been formulated. One framework which combines the idea of Open Innovation with startup-based interaction is the startup-orientated cooperative innovation (SOCI) strategy. The PANDA initiative of Fresenius University of Applied Science can be characterized as a coupled process of the SOCI framework. This paper presents the results of a survey, analyzing the impact of PANDA on the innovation strategies of the chemical and pharmaceutical industry based on the innovation attributes defined by the Oslo Manual 2018. The survey was used to compare 12 PANDA project evaluations implementing by European chemical and pharmaceutical companies. The main results of this study show that PANDA represents an effective tool to foster early-stage innovation development and indicates general effectiveness of SOCI strategies for chemical and pharmaceutical companies.
产生创新是公司和组织成功的关键因素之一。企业要不断创新,就必须实施有效的创新战略。因此,制定了各种不同的战略框架。将开放式创新理念与基于初创企业的互动相结合的一个框架是面向初创企业的合作创新(SOCI)战略。费森尤斯应用科学大学的PANDA倡议可以被描述为一个社会创新框架的耦合过程。本文基于《奥斯陆手册》2018年定义的创新属性,分析了PANDA对化工制药行业创新战略的影响。该调查用于比较欧洲化学和制药公司实施的12个PANDA项目评估。本研究的主要结果表明,PANDA是促进早期创新发展的有效工具,并表明社会创新战略对化工和制药公司的总体有效性。
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引用次数: 1
Editorial: Leveraging Emerging Technology to Fight the COVID-19 Pandemic 社论:利用新兴技术抗击COVID-19大流行
IF 9 Q2 MANAGEMENT Pub Date : 2021-05-05 DOI: 10.1142/S2424862221020012
L. Li
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引用次数: 3
Technological Resources for Fighting COVID-19 Pandemic Health Issues 抗击COVID-19大流行卫生问题的技术资源
IF 9 Q2 MANAGEMENT Pub Date : 2021-04-24 DOI: 10.1142/S2424862221500196
Preeti Joshi, R. Tyagi, K. Agarwal
The COVID-19 pandemic has had a global effect with several people dying daily due to the dreaded disease. Therefore, each individual has a duty to support the efforts of their countries either financially, socially, technically, or by any other means to contribute to the fight against the COVID-19 pandemic. During this crisis, engineers can come up with innovations to fight the pandemic. One of the reasons for the death of a patient suffering from COVID-19 was the lack of resources required for patient care. The doctors who are taking care of COVID patients could get infected due to lack or the deficiency of available safety kits. Some of the resources required to fight COVID-19 are personal protective equipment (PPE) (e.g. gloves, gowns, face masks and shields for respiratory and eye protection respectively), mechanical ventilators and body vital monitoring devices. Engineers can contribute to the fight against COVID-19, by developing compact size ventilators, 3D printed face shield, masks, door handles, hand sanitizer, etc. The available medicines to fight the disease are still under development and trials with limited options at present has led to deaths among patients mostly those who are elderly or having any co-morbid condition. The deficiency of medicine availability can be resolved up to some extent by applying tools of supply chain management.
COVID-19大流行已经产生了全球影响,每天都有几个人死于这种可怕的疾病。因此,每个人都有义务在财政、社会、技术或任何其他方式上支持其国家的努力,为抗击COVID-19大流行做出贡献。在这场危机中,工程师们可以想出创新的方法来对抗这种流行病。COVID-19患者死亡的原因之一是缺乏患者护理所需的资源。由于缺乏或缺乏可用的安全工具包,照顾COVID患者的医生可能会被感染。抗击COVID-19所需的一些资源是个人防护装备(PPE)(例如分别用于呼吸和眼睛保护的手套、防护服、口罩和盾牌)、机械呼吸机和身体生命体征监测设备。工程师可以通过开发紧凑型呼吸机、3D打印面罩、口罩、门把手、洗手液等,为抗击COVID-19做出贡献。可用的治疗这种疾病的药物仍在开发中,目前选择有限的试验已导致患者死亡,其中大多数是老年人或患有任何合并症的患者。运用供应链管理工具,可以在一定程度上解决药品可及性不足的问题。
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引用次数: 4
Service-Oriented Architecture: A Review of State-of-the-Art Literature From an Organizational Perspective 面向服务的体系结构:从组织的角度回顾最新的文献
IF 9 Q2 MANAGEMENT Pub Date : 2021-04-07 DOI: 10.1142/S2424862221300039
S. M. Bohloul
Over the past two decades, the topic of service-oriented architecture (SOA) has attracted considerable attention among researchers and practitioners. Despite a lot of efforts to study it from different points of view (mostly from a technological perspective), little is done to develop our understanding of SOA from an organizational perspective. Therefore, this study aims at reviewing the literature on SOA from an organizational point of view. To this end, 65 journal papers (published between 2005 and 2020) were selected from different electronic databases for study. After a careful review of selected papers, four distinct categories of research themes were identified: SOA adoption, implementation, governance, and organizational impacts and applications. Moreover, major factors influencing SOA adoption as well as potential areas of impact of SOA in firms were determined.
在过去的二十年中,面向服务的体系结构(SOA)的主题引起了研究人员和实践者的极大关注。尽管从不同的角度(主要是从技术的角度)对SOA进行了大量的研究,但是从组织的角度来理解SOA却做得很少。因此,本研究旨在从组织的角度回顾有关SOA的文献。为此,我们从不同的电子数据库中选择了65篇发表于2005年至2020年的期刊论文进行研究。在仔细审阅选定的论文后,确定了四个不同类别的研究主题:SOA采用、实现、治理以及组织影响和应用。此外,还确定了影响SOA采用的主要因素以及SOA在企业中的潜在影响领域。
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引用次数: 0
Symbiotic Relationship Between Machine Learning and Industry 4.0: A Review 机器学习与工业4.0的共生关系综述
IF 9 Q2 MANAGEMENT Pub Date : 2021-03-19 DOI: 10.1142/S2424862221300027
M. Azeem, Abid Haleem, M. Javaid
Industry 4.0 though launched less than a decade ago, has revolutionized the way technologies are being used. It has found its application in almost every field of manufacturing, cybersecurity, health, banking, and other services. Industry 4.0 is heavily dependent on interconnectivity and data. Machine learning (ML) acts as a foundation for building industry 4.0 applications. In this paper, we have provided a broad view of how ML is necessary to accomplish the benefits of industry 4.0. The paper includes ML usage in companies and the limitations of ML, which need to be mitigated. There are also some instances of the failure of ML algorithms and their repercussions. Though industry 4.0 requires a lot more inputs and capital than normal processes, the long-run benefits outweigh the initial costs. ML is gaining popularity, and extensive research is happening to exploit its potential and develop full smart applications.
工业4.0虽然推出不到十年,但已经彻底改变了技术的使用方式。它在制造业、网络安全、健康、银行和其他服务的几乎每个领域都有应用。工业4.0在很大程度上依赖于互联和数据。机器学习(ML)是构建工业4.0应用的基础。在本文中,我们提供了一个广泛的视角,说明机器学习是如何实现工业4.0的好处的。本文包括ML在公司中的使用以及ML的局限性,这些局限性需要缓解。还有一些ML算法失败的例子及其后果。虽然工业4.0需要比正常流程更多的投入和资本,但长期收益大于初始成本。机器学习越来越受欢迎,广泛的研究正在开发其潜力并开发完整的智能应用程序。
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引用次数: 13
Virtual Reality (VR) Applications in Cardiology: A Review 虚拟现实(VR)技术在心脏病学中的应用综述
IF 9 Q2 MANAGEMENT Pub Date : 2021-03-12 DOI: 10.1142/S2424862221300015
M. Javaid, I. Khan
Virtual reality (VR) has applications in cardiology to create enhancement, thereby improving the quality of associated planning, treatment and surgery. The need is to study different applications of this technology in the field of cardiology. We have studied research papers on VR and its applications in cardiology through a detailed bibliometric analysis. The study identified five significant steps for proper implementation of this technology in cardiology. Some challenges are to be undertaken by using this technology, and they can provide some benefits; thus, authors contemplate extensive research and development. This study also identifies 10 major VR technology applications in cardiology and provided a brief description. This innovative technology helps a heart surgeon to perform complex heart surgery effectively. Thus, VR applications have the potential for improving decision-making, which helps save human life. VR plays a significant role in the development of a surgical procedure. This technology undertakes 3D heart model information in full colour, which helps to analyze the overall heart vane, blockage and blood flow. With the help of this digital technology, a surgeon can improve the accuracy of heart surgery, and he can simulate the surgery. A surgeon can undertake surgery in a virtual environment on a virtual patient. The unique purpose of this technology is to practice pre-operatively on the specific circumstance. A cardiologist can also check the proper status of inner and outer heart wall layer. Thus, by using this 3D information, the surgeon can now interact with heart data/information without any physical touch. This technology opens a new opportunity to improve the heart surgery and development in cardiovascular treatment to improve patient outcome.
虚拟现实(VR)在心脏病学中的应用可以创造增强效果,从而提高相关计划、治疗和手术的质量。需要研究该技术在心脏病学领域的不同应用。我们通过详细的文献计量分析研究了关于虚拟现实及其在心脏病学中的应用的研究论文。该研究确定了在心脏病学中正确实施该技术的五个重要步骤。使用这项技术会面临一些挑战,但也会带来一些好处;因此,作者考虑广泛的研究和开发。本研究还确定了10个主要的VR技术在心脏病学中的应用,并提供了简要的描述。这项创新技术帮助心脏外科医生有效地进行复杂的心脏手术。因此,虚拟现实应用具有改善决策的潜力,这有助于拯救人类的生命。VR在外科手术的发展中起着重要的作用。该技术提供全彩色的3D心脏模型信息,有助于分析整体心脏叶片、阻塞和血流。在这种数字技术的帮助下,外科医生可以提高心脏手术的准确性,他可以模拟手术。外科医生可以在虚拟环境中对虚拟病人进行手术。这项技术的独特目的是在手术前根据具体情况进行练习。心脏病专家还可以检查心脏内外壁层的正常状态。因此,通过使用这种3D信息,外科医生现在可以在没有任何身体接触的情况下与心脏数据/信息进行交互。这项技术为改善心脏手术和心血管治疗的发展提供了新的机会,以改善患者的预后。
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引用次数: 7
期刊
Journal of Industrial Integration and Management-Innovation and Entrepreneurship
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