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1.
Didier Grimaldi Vicenc Fernandez 《The Journal of High Technology Management Research》2019,30(1):27-39
The Internet of Things (IoT) technology provides a lot of possibilities to develop IT projects that offer to the citizens platform of services for better conditions of living and transporting. Our study contributes to the topical subject of smart cities analysing the performance of an IoT-platform based solution. It evaluates if an IoT platform project can achieve business, environmental and social objectives all together. We select and test a project developed in Nice (France) where 5.000+ sensors are deployed on parking slots to improve the urban transport. The benefits of the IT project are determined comparing data extracting from Nice and compared with two other similar cities (Marseille and Toulon) which play the role of control group. The analysis of the value creation and value capture suggest a governance model for a private and public collaboration. Our findings help public managers to understand better private-public partnership and then prepare the future cities development. 相似文献
2.
Big Data Analytics (BDA) is increasingly becoming a trending practice that generates an enormous amount of data and provides a new opportunity that is helpful in relevant decision-making. The developments in Big Data Analytics provide a new paradigm and solutions for big data sources, storage, and advanced analytics. The BDA provide a nuanced view of big data development, and insights on how it can truly create value for firm and customer. This article presents a comprehensive, well-informed examination, and realistic analysis of deploying big data analytics successfully in companies. It provides an overview of the architecture of BDA including six components, namely: (i) data generation, (ii) data acquisition, (iii) data storage, (iv) advanced data analytics, (v) data visualization, and (vi) decision-making for value-creation. In this paper, seven V's characteristics of BDA namely Volume, Velocity, Variety, Valence, Veracity, Variability, and Value are explored. The various big data analytics tools, techniques and technologies have been described. Furthermore, it presents a methodical analysis for the usage of Big Data Analytics in various applications such as agriculture, healthcare, cyber security, and smart city. This paper also highlights the previous research, challenges, current status, and future directions of big data analytics for various application platforms. This overview highlights three issues, namely (i) concepts, characteristics and processing paradigms of Big Data Analytics; (ii) the state-of-the-art framework for decision-making in BDA for companies to insight value-creation; and (iii) the current challenges of Big Data Analytics as well as possible future directions. 相似文献
3.
Modern cities currently face numerous challenges related to mobility, waste management, access to resources, etc. Smart Cities integrate information and communication technologies (ICT) to develop innovative solutions that can solve such challenges and create a higher quality of life for their citizens. Two elements need to be considered for smart cities to be successful. First, citizens must participate in the design of the smart city to take advantage of their ideas so that the smart city answers their real needs. Secondly, each city has its own unique characteristics that need to be considered to design a citizen participation strategy truly tailored and adapted to their respective context. In line with these two considerations, the goal of this paper is to identify the context factors that impact citizen participation strategies in smart cities. In order to reach that goal, we performed a qualitative case study of two cities that strive to be smart: Namur (Belgium) and Linköping (Sweden). This analysis allows us to understand how participation is implemented in two different cases and to infer the context factors that impact the respective strategies. Five context-factors have been identified in this study: the smart city consideration, the drivers for participation, the degree of centralization, the legal requirements, and the citizens’ characteristics. By identifying these factors, we can derive context-dependent recommendations about citizen participation for smart cities. These recommendations are then applied to the case of Brussels in Belgium. 相似文献
4.
The rapid development of information communication technology has led towards the emergence of the “connected world” characterised by the pervasive embeddedness of smart technologies. Smart technologies have a transformative impact on different domains of life. The application of smart technologies redefines the way people live, interact and conduct business. To date, the attention of the scholarly community has been paid primarily to smart cities, smart manufacturing and smart homes. However, despite numerous studies discussing the benefits of advanced technologies in the workplace, there is a lack of research on smart offices and how they affect productivity and employee well-being. This opinion paper argues that office spaces constitute a distinctive type of space, and research on smart homes or manufacturing does not suffice to capture its essence. Therefore, the aim of this paper is to propose a research agenda that can advance the current literature on smart and information communication technologies in relation to workplace spaces and the potential implications these could have on productivity. 相似文献
5.
智慧农业伴随着人工智能、云计算、物联网、大数据等现代信息技术的发展应运而生。近年来,智慧农业在全球范围内逐渐被重视,在未来农业发展领域将扮演着极其重要的角色。本文主要通过探讨如何通过在智慧农业教学中普及人工智能与云计算方面的相关知识应用,从而推动智慧农业教学的进步与改革,让学生从根本上了解我国智慧农业发展至今其中所存在的问题和相应的解决方法,目的在于能够更快地在我国智慧农业起步阶段,提高农学学子的知识水平,在技术、应用、产业和机制方面突破瓶颈,来加速中国智慧农业的跨越式发展。 相似文献
6.
随着互联网技术的迅猛发展,高性能计算的主要应用从传统的科学与工程计算为主逐步演变为以数据处理为核心,这给传统高性能计算机体系结构带来巨大挑战的同时,也使高通量计算应运而生。文章从应用特征出发阐述了高通量计算与传统高性能计算的差别,并探讨了高通量计算的基础理论、关键技术,以及中国科学院在高通量计算核心芯片及系统领域的研究成果;以期通过高通量计算机关键技术的研究与突破,为缓解我国核心芯片"卡脖子"的问题,以及为构建智能万物互联时代的新型高性能计算平台作出贡献。 相似文献
7.
Smart cities employ information and communication technologies to improve: the quality of life for its citizens, the local economy, transport, traffic management, environment, and interaction with government. Due to the relevance of smart cities (also referred using other related terms such as Digital City, Information City, Intelligent City, Knowledge-based City, Ubiquitous City, Wired City) to various stakeholders and the benefits and challenges associated with its implementation, the concept of smart cities has attracted significant attention from researchers within multiple fields, including information systems. This study provides a valuable synthesis of the relevant literature by analysing and discussing the key findings from existing research on issues related to smart cities from an Information Systems perspective. The research analysed and discussed in this study focuses on number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart architecture as well as related technologies and concepts. The discussion also focusses on the alignment of smart cities with the UN sustainable development goals. This comprehensive review offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions. 相似文献
8.
经济全球化快速发展使得城市之间的各类联系日益增多,要实现城市的智慧发展,不能仅关注城市内部的创新,也要重视其在整体网络中的表现。在城市网络理论视域下,采用社会网络分析法,将智慧城市在城市网络中的位置与作用定义为其外部智慧性,并以2016年中国193个试点智能城市为样本,利用主要企业总部-分公司布址数据构建智慧城市网络,探究智慧城市的外部智慧性对其内部智慧性绩效评估的影响与作用机理。研究发现,智慧城市在网络中的点入度、点出度、结构洞与互惠性等属性均对其内部智慧性的评估结果有显著的影响作用。新兴智慧城市要提升综合竞争力,应该识别自身的网络定位,增强与其他城市的联系与合作,形成内外联动,实现智慧城市发展的各项目标。 相似文献
9.
数据密集型新兴行业应用快速发展,是近年来高性能计算应用日益广泛和深入的主要特征。新兴高性能行业应用,在高性能计算系统技术创新、计算环境创新与应用创新等各个层面,都带来了新的挑战与机遇。文章在系统总结领域应用进展的基础上,概括了新兴行业应用的技术特点与挑战,提出了加大高性能计算系统核心技术创新力度、构建面向新型应用的高性能计算环境、大力推进高性能应用软件研发、大力推进传统应用的新方法开发,以及大力推进大数据人工智能等新领域基准评测工具研发等发展战略建议。 相似文献
10.
Smart cities are developing at increasing speed. Smart cities rely on the deployment of information and communication technology (ICT) that is digitally transforming our habitats. Digital transformation affects several areas from transportation, energy, government to the environment. But, primarily, it affects citizens. Therefore, the adoption of all areas of the smart city holds great research potential. The purpose of this paper is thus to provide an insight into millennials’ adoption of autonomous vehicles (AV), which are at the forefront of future transport. Millennials are an important focus group for smart city concepts since they are keen to adopt technology and new transport modes. Our research focuses on technology adoption, perception of the benefits, security, safety, mobility-related efficiencies and concerns as the key AV adoption factors. The impact of these factors is empirically tested with structural equation modelling using data from 382 millennials. We confirm the perceived benefits of AV are vital factors for AV adoption whereas the perceived safety of AV significantly reduces the influence of various concerns regarding AV. 相似文献
11.
探讨如何优化营商环境,提高区域创新绩效,对推动高质量发展具有重要意义。基于对大数据发展下营商环境影响区域创新绩效的机制分析,以2008—2017年我国地级市及722家民营企业的面板数据为样本,构建动态面板模型,使用SYS-GMM估计法进行实证检验,得出：（1）优化营商环境虽在总体上有利于提升区域创新绩效,但在不同城市存在异质性,呈现出“非省会强、省会弱”的不均衡特征。（2）大数据发展与营商环境优化的契合是区域创新绩效提升的关键,尤其是在省会城市,其作用更强,但囿于技术学习能力,却在非省会城市作用不确定。（3）营商环境优化作用的不均衡区域特征源于交易成本的中介作用存在城市差异,在省会城市,大数据发展能激发出交易成本的中介作用,增强优化营商环境的间接作用,扭转“非省会强、省会弱”的区域不均衡特征,全面激发营商环境优化的创新绩效提升效应。 相似文献
12.
突如其来的新冠肺炎疫情是对城市应急处理能力的一次大考验,信息化应用在疫情防控和保障复工复产过程中起到了至关重要的作用。尽管新冠肺炎疫情让城市生活、生产受到严重影响,在信息化技术的支撑下,城市迎来了发展方式的转型。新型智慧城市促进了新业态的出现,激发了新城市活力。新型智慧城市建设成为应对疫情的有效措施之一,它是未来城市发展形式的重点。以新兴技术引领的第四次工业革命让城市信息化成为时代的重要特征,也让其成为我国实现现代化和提升国际竞争力的应有之义。未来,城市需要在维护日常管理与危机应对需求之间保持平衡,应将新型智慧城市的内涵与城市公共安全、可持续发展融合,着力提升城市建设管理的科学化、精细化、智能化水平,真正让城市生活更美好。 相似文献
13.
This paper addresses the concept of collaborative governance in the context of smart cities, with a focus on supporting and recommending performing organizational structures for sustainable collaborative networks (SCN). It highlights that governing a smart city is about promoting an effective environment of collaboration in the government and implying adaptive policy-making to construct new, internal and external human collaborations. Considering the smart governance as a collaborative network of government agencies and external stakeholders including citizens and a socio-technical system, we conduct in this paper an ethnographic mixed method by combining a qualitative method that studies actors’ collaboration and engagement in co-governance with a quantitative method that is based on graph theory to provide numerical analyses of organizational structures. While the qualitative method aims to discover organizational “smart factors” that affect the performance of SCN structures or configurations, the quantitative method aims to find “smart indicators” and metrics to evaluate these organizational factors. The result of this mixed method is an analytical recommender framework of the relevant SCN organizational structures in terms of robustness, flexibility and efficiency. 相似文献
14.
Industry 4.0 and the associated IoT and data applications are evolving rapidly and expand in various fields. Industry 4.0 also manifests in the farming sector, where the wave of Agriculture 4.0 provides multiple opportunities for farmers, consumers and the associated stakeholders. Our study presents the concept of Data Sharing Agreements (DSAs) as an essential path and a template for AI applications of data management among various actors. The approach we introduce adopts design science principles and develops role-based access control based on AI techniques. The application is presented through a smart farm scenario while we incrementally explore the data sharing challenges in Agriculture 4.0. Data management and sharing practices should enforce defined contextual policies for access control. The approach could inform policymaking decisions for role-based data management, specifically the data-sharing agreements in the context of Industry 4.0 in broad terms and Agriculture 4.0 in specific. 相似文献
15.
智能汽车可实现城市资源的统筹调度、优化分配和顺畅流动,是实现交通治理智能化升级的重要突破口。为促进中国实现交通治理的智能化升级,从车端视角对智能汽车科技群进行系统梳理,建立涵盖人工智能、通信、地理信息数字化和计算机科学四大领域的基本框架,通过综合评估发现中国在5G通信技术、应用软件开发能力、导航与定位领域具有部分优势,但在高性能芯片、车用人工智能算法以及信息安全等核心技术领域存在明显的瓶颈和短板。在此基础上,描绘面向交通治理能力升级的中国智能汽车科技创新协同发展战略和技术路线图,提出由智能汽车提供商、软硬件提供商及平台运营商等多方共同主导的网状生态系统的未来智能汽车产业生态理想图景,并梳理分析各类相关企业在实践中有效分工协作的特色商业模式。最后分别从国家和企业层面给出践行智能汽车科技创新发展战略、支撑交通治理智能化升级的方向性建议。 相似文献
16.
Energy efficiency of public sector is an important issue in the context of smart cities due to the fact that buildings are the largest energy consumers, especially public buildings such as educational, health, government and other public institutions that have a large usage frequency. However, recent developments of machine learning within Big Data environment have not been exploited enough in this domain. This paper aims to answer the question of how to incorporate Big Data platform and machine learning into an intelligent system for managing energy efficiency of public sector as a substantial part of the smart city concept. Deep neural networks, Rpart regression tree and Random forest with variable reduction procedures were used to create prediction models of specific energy consumption of Croatian public sector buildings. The most accurate model was produced by Random forest method, and a comparison of important predictors extracted by all three methods has been conducted. The models could be implemented in the suggested intelligent system named MERIDA which integrates Big Data collection and predictive models of energy consumption for each energy source in public buildings, and enables their synergy into a managing platform for improving energy efficiency of the public sector within Big Data environment. The paper also discusses technological requirements for developing such a platform that could be used by public administration to plan reconstruction measures of public buildings, to reduce energy consumption and cost, as well as to connect such smart public buildings as part of smart cities. Such digital transformation of energy management can increase energy efficiency of public administration, its higher quality of service and healthier environment. 相似文献
17.
Digital twins, along with the internet of things (IoT), data mining, and machine learning technologies, offer great potential in the transformation of today’s manufacturing paradigm toward intelligent manufacturing. Production control in petrochemical industry involves complex circumstances and a high demand for timeliness; therefore, agile and smart controls are important components of intelligent manufacturing in the petrochemical industry. This paper proposes a framework and approaches for constructing a digital twin based on the petrochemical industrial IoT, machine learning and a practice loop for information exchange between the physical factory and a virtual digital twin model to realize production control optimization. Unlike traditional production control approaches, this novel approach integrates machine learning and real-time industrial big data to train and optimize digital twin models. It can support petrochemical and other process manufacturing industries to dynamically adapt to the changing environment, respond in a timely manner to changes in the market due to production optimization, and improve economic benefits. Accounting for environmental characteristics, this paper provides concrete solutions for machine learning difficulties in the petrochemical industry, e.g., high data dimensions, time lags and alignment between time series data, and high demand for immediacy. The approaches were evaluated by applying them in the production unit of a petrochemical factory, and a model was trained via industrial IoT data and used to realize intelligent production control based on real-time data. A case study shows the effectiveness of this approach in the petrochemical industry. 相似文献
18.
《The Journal of High Technology Management Research》2023,34(2):100456
The Internet of Things (IoT) has sparked a revolution in the manufacturing sector, providing numerous advantages to companies that adopt it. Using IoT, factories can boost productivity, cut expenses, and develop a more sustainable business model. The rise of digital networking and real-time communication are compelling manufacturers to adopt cutting-edge technologies in order to compete in today's fast-paced, international marketplace. The Internet of Things (IoT) to facilitate the virtualization of manufacturing processes and the gathering of real-time data to guarantee seamless supply chain operations. There has been abductive qualitative research done. Case studies of the heavy-duty vehicle sector provided empirical data, while a review of the relevant literature provided the theoretical underpinnings. Information system issues and people and structure issues were cited as barriers to analytics adoption. In this study works on challenges and security of manufacturing. Finally, suitable themes for analysis have been derived using a thematic analysis. The results show that manufacturing firms can benefit from analytics solutions for production activities even if they are not highly automated or complicated. The Internet of Things (IoT) offers numerous opportunities for growth in the business models of manufacturing companies. Businesses can boost efficiency, cut expenses, and develop a more robust business model by implementing IoT. Successfully integrating IoT, however, calls for meticulous preparation and execution. 相似文献
19.
There is a growing body of literature calling for work on the emerging role of smart cities as information hubs and knowledge repositories. This article reviews the existing smart city literature and integrates knowledge management perspectives to provide an overview of future research directions. By demonstrating the multi-stakeholder relationships involved in smart city development, it takes a crucial step towards looking into the role of knowledge management in future smart city research. Eighty-two peer-reviewed publications were analyzed covering smart city studies in various research domains. The systematic review identifies five different themes: strategy and vision, frameworks, enablers and inhibitors, citizen participation, and benefits. These themes form the basis for developing a future research agenda focused on knowledge sharing and co-learning among cities via three research directions: socio-technical approaches, knowledge sharing perspectives and organizational learning capabilities. The paper also proposes a series of knowledge-driven policy recommendations to contribute towards the UN Sustainable Development Goals. 相似文献
20.
《Information processing & management》2023,60(1):103155
This paper presents a continuous delivery/continuous verifiability (CD/CV) method for IoT dataflows in edge–fog–cloud. A CD model based on extraction, transformation, and load (ETL) mechanism as well as a directed acyclic graph (DAG) construction, enable end-users to create efficient schemes for the continuous verification and validation of the execution of applications in edge–fog–cloud infrastructures. This scheme also verifies and validates established execution sequences and the integrity of digital assets. CV model converts ETL and DAG into business model, smart contracts in a private blockchain for the automatic and transparent registration of transactions performed by each application in workflows/pipelines created by CD model without altering applications nor edge–fog–cloud workflows. This model ensures that IoT dataflows delivers verifiable information for organizations to conduct critical decision-making processes with certainty. A containerized parallelism model solves portability issues and reduces/compensates the overhead produced by CD/CV operations. We developed and implemented a prototype to create CD/CV schemes, which were evaluated in a case study where user mobility information is used to identify interest points, patterns, and maps. The experimental evaluation revealed the efficiency of CD/CV to register the transactions performed in IoT dataflows through edge–fog–cloud in a private blockchain network in comparison with state-of-art solutions. 相似文献