A semantic similarity analysis of Internet of Things

ABSTRACT

Internet of Things (IoT) has gradually become one of the most popular topics among both academia and industry, and it is considered as a crucial part of future Internet. However, very few objective and systematic review was conducted to address high-value articles and summarize the intellectual components from journals for examination and identification of the intellectual core and structure of IoT. Therefore, this study conducted a co-citation analysis for IoT by using 68 high-value articles retrieved within 1457 source papers from Web of Science online database. By using factor analysis, ten critical factors were identified, which includes (1) frameworks and challenges of IoT; (2) current situation of IoT in different applications; (3) interactions of IoT; (4) security issues of IoT; (5) application domains of IoT; (6) data management of IoT; (7) IoT in product lifecycle management; (8) enabling technologies of IoT; (9) IoT in smart cities; (10) IoT in recommender systems. Hierarchical Custer Analysis and Multidimensional Scaling were used to graphically illustrate the intellectual elements of IoT. In the current findings, fundamental elements of IoT including architectural framework, enabling technologies, network communication, data management, and IoT interactions were discussed with a series of challenges for wider and deeper IoT applications.     

Advanced manufacturing systems: supply–demand matching of manufacturing resource based on complex networks and Internet of Things

ABSTRACT

After investigation on the existing advanced manufacturing systems (AMSs), it is found that supply–demand matching of manufacturing resource is one of the common issues to be addressed in all AMSs, and methods for addressing this issue have evolved from P2P (peer-to-peer)-based, to information centre-based, and to platform (or system)-based matching, and are moving towards socialisation and service-based solutions. In order to adapt to this trend, a new method for manufacturing resource supply–demand matching based on complex networks and Internet of Things (IoT) is proposed, and a four-layered architecture for implementing this method is designed. In this method, IoT technology is employed to realise the intelligent perception and accessing of various manufacturing resources and capabilities (MR&C), which enables logical aggregation of various distributed MR&C in the form of services. Then complex networks model and theory are used to realise the efficient manufacturing service management, optimal-allocation, and supply–demand matching. In this article, the specific key technologies for implementing the method are presented, including key technologies for manufacturing service generation and aggregation, manufacturing demand/task management, supply–demand matching of MR&C in the form of services, and value/utility adding based on manufacturing service network (MSN), manufacturing task network (MTN) and manufacturing enterprises collaborative network (ECN).     

Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications

Recent advances in information technology have led to profound changes in global manufacturing. This study focuses on the theoretical and practical challenges and opportunities arising from the Internet of Things (IoT) as it enables new ways of supply-chain operations partially based on big-data analytics and changes in the nature of industries. We intend to reveal the acting principle of the IoT and its implications for big-data analytics on the supply chain operational performance, particularly with regard to dynamics of operational coordination and optimization for supply chains by leveraging big data obtained from smart connected products (SCPs), and the governance mechanism of big-data sharing. Building on literature closely related to our focal topic, we analyze and deduce the substantial influence of disruptive technologies and emerging business models including the IoT, big data analytics and SCPs on many aspects of supply chains, such as consumers value judgment, products development, resources allocation, operations optimization, revenue management and network governance. Furthermore, we propose several research directions and corresponding research schemes in the new situations. This study aims to promote future researches in the field of big data-driven supply chain management with the IoT, help firms improve data-driven operational decisions, and provide government a reference to advance and regulate the development of the IoT and big data industry.     

Internet of Things and Big Data as enablers for business digitalization strategies

Digitization blurs the lines between technology and management, facilitating new business models built upon the concepts, methods and tools of the digital environment. The purpose of this study is to investigate the role of the Internet of Things (IoT) and Big Data in terms of how businesses manage their digital transformation. The paper argues that the outbreak of IoT and Big Data has resulted in a mass of disorganized knowledge. In order to make sense of the noise, a literature review was carried out to examine the studies, published in the last decade (2008–2019), that analyzed both the Internet of Things and Big Data. The results show that IoT and Big Data are predominantly reengineering factors for business processes, products and services; however, a lack of widespread knowledge and adoption has led research to evolve into multiple, yet inconsistent paths. The study offers interesting implications for managers and marketers, highlighting how the digital transformation enabled by IoT and Big Data can positively impact many facets of business. By treating IoT and Big Data as faces of the same coin, this study also sheds light on current challenges and opportunities, with the hope of informing future research and practice.     

Making sense of the impact of the internet of things on Purchasing and Supply Management:A tension perspective

The Internet of Things (IoT) is transforming how industries operate. It impacts on firms’ supply networks, business processes and business models. This article describes how the IoT influences the Purchasing and Supply Management (PSM) function. Our findings based on interviews and workshop with more than 200 senior European purchasing managers from large corporations suggest that PSM has opportunities to support the development of IoT solutions within firms which are required to work with dynamic and complex markets. At the same time, the IoT supports the development of a more capable and efficient PSM organisation. As part of this early stage theory building effort, we outline scenarios for the future of the PSM function. This leads us to reflect on how PSM leaders manage IoT-related tensions by means of differentiation and integration tactics.     

物联网行业发展分析

随着当今社会的发展,物联网及相关产业的大规模拓展的时机日渐成熟,在智能计算技术和信息采集的快速发展的当下,物联网已被我国政府列入六大战略性新兴产业。在世界范围内,物联网将被欧美等发达国家作为未来发展的重要领域。而在我国,随着互联网与移动通信网的普遍应用,物联网产业也已被提升至国家战略层面。     

城镇燃气管理中物联网技术的应用

在现代互联网技术、自动化技术、智能化技术等先进科技的不断发展背景下,物联网技术应运而生且迅速发展.目前在社会中物联网技术的应用越来越广泛,作为人们日常不可缺少的燃气行业也在探索应用物联网技术,通过应用物联网技术可以有效改善和解决以往管理方式单一及设备老化等原因导致的管理效率低下及断气、停气等影响人们正常生产生活的问题....     

基于灰色关联分析的我国物联网产业发展研究

基于当今信息产业快速发展的时代背景下,物联网技术的研发以及产业化的发展已经使其成为世界经济的新的增长点。本文运用灰色关联模型对物联网产业发展影响因素进行实证分析,对如何推进物联网产业的发展具有一定的指导意义。     

物联网技术应用影响企业费用粘性吗?

物联网应用带来生产力的跨越式发展,将引起企业成本结构的系统性变化.本文基于2009～2019年间与物联网有关的公司公告,采用多时点动态双重差分方法探讨物联网技术应用如何影响企业的成本行为.研究发现:企业应用物联网技术可以通过降低调整成本与代理成本、弱化管理层乐观预期,降低费用粘性.这说明物联网技术应用显现出较强的正面效应.进一步分析发现,物联网技术应用显著降低了国有企业的费用粘性,而对非国有企业费用粘性的降低作用并不明显,说明物联网技术应用对不同产权性质企业的影响存在差异.本文的研究有利于丰富信息技术经济后果文献与费用粘性影响因素文献,对我国推行物联网技术发展具有借鉴意义.     

“互联网+”酒店标准化食材智慧供应链服务系统

物联网和大数据技术的快速发展,孕育了基于“互联网+”的信息服务技术系统,并以低成本、少人力、高效率、智能化带来了供应链的革命。文章基于智能技术,构建了一套“互联网+”酒店标准化食材智慧供应链服务系统。系统前端通过APP接入,采用系统集成建立中央决策系统,结合北斗Ⅱ卫星导航定位和路径建模优化技术进行智慧物流配送,为餐饮终端提供最优的食材采购体验。系统可以加快库存周转、降低库存损耗、配送及时高效、订单可以追溯,为项目提供智慧升级和增值服务。     

基于SWOT分析的物联网专业建设及发展研究

物联网产业的蓬勃发展,加快了高校对物联网方向人才培养的步伐,由此提出了专业建设及发展的战略问题。本文利用SWOT分析模型,深入研究了高校面临的机遇与挑战,以及其具备的优势与劣势,综合交叉形成了能够突出特色、发挥特长、攻守兼备的四种态势,为构成差异化复合型战略提供了依据,同时还提出了建设的核心战略。希望为高校物联网专业建设科学化提供参考。     

A Motivation-Experience-Performance Model to Understand Global Consumer Behavior on the Internet

Abstract

This study determines that the consumer motivations to the Internet uses are almost universal across cultures, and consumers' needs in Internet uses are a set of hierarchical needs beginning with the most importance: e-mail, information search, chatting, professional works, and e-commerce. The three basic elements in Internet consumer behavioral process are motivations, experience, and performance. Therefore, the ways to motivate consumers are the same for different cultures—to facilitate consumer experience through communication and community, and to increase consumer performance through web transaction experiences. By developing such a framework, this research suggests an aggregate process model of consumer behavior on the Internet and discusses its potential usages and limitations.     

基于ESB的智能物流物联网应用框架

从体系结构层次分析了目前物联网框架在应用中存在的问题,在此基础上,将EDA-SOA、企业服务总线(ESB)、复杂事件处理(CEP)等技术引入到物流物联网领域,提出了一种基于ESB的具有CEP智能处理能力的物联网应用框架模型,并讨论了其优势。     

物联网技术在水产品冷链物流中的应用

物联网技术凭借其在水产品冷链物流生产、运输、加工、仓储和销售环节上的应用能大大改善水产品冷链物流中存在的水产品供求信息不对称、水产品质量难以保证以及对水产品质量安全的追溯等现状,成为解决水产品冷链物流中各种问题的最佳方案。     

农业食品供应链的可追溯性研究

产品及供应链活动的准确、及时的可追溯已成为影响食品和农业综合企业健康发展的一个新因素。本文主要讨论了农业食品供应链及其可追溯性的概念，可追溯系统的目的要求、类型和架构，用于可追溯系统的技术及其发展。同时，举文指出了有待后续研究的两个问题。     

How product representation influences the understanding of supply chain process models

ABSTRACT

Process models are increasingly being used to analyse business processes within supply chains. Although products are an essential part of supply chain semantics, product representation in supply chain process models is insufficient. This research proposes a novel product representation, namely, ‘labelled flows,’ which directly assigns product names to flows instead of implicitly representing products through other visual constructs. Using a laboratory experiment, we find that labelled flows improve domain understanding with respect to product comprehension and product modelling performance. Our contribution to modelling research is a novel product representation within supply chain process models, which enhances domain understanding.     

Spatial Dispersion of Interconnection Clusters in the European Internet

Abstract

This paper studies the effects of geographical distance on the interconnection agreements between providers participating at Internet Exchange Points (IXPs) in Europe. We assess separately two main issues: the extent of existing clustering, as well as the role of proximity in bilateral interconnection decisions. Our results show the dominance of spatial random patterns in the interconnection agreement distributions. On the other hand, we find that proximity positively affects the probability of establishing interconnection for all the IXPs studied but one. Interesting, the latter is the only one showing an initially clustered morphology. This indicates a prevalence of centripetal forces—local spillovers and mutual knowledge—over geographical differentiation for any pre-existing interconnection pattern morphology except the clustered ones.     

Reshaping healthcare supply chain using chain-of-things technology and key lessons experienced from COVID-19 pandemic

The COVID-19 (Corona virus disease 2019) pandemic continues to slash through the entire humanity on the earth causing an international health crisis and financial uncertainty. The pandemic has formed a colossal disruption in supply chain networks. It has caused piling higher mortality in patients with comorbidities and generated a surging demand for critical care equipment, vaccines, pharmaceuticals, and cutting-edge technologies. Personal protective equipment, masks, ventilators, testing kits, and even commodities required for daily care have been scarce as lockdown and social distancing guidelines have kicked in. Amidst COVID-19, implementing and executing key processes of the healthcare supply chain (HSC) in a secured, trusted, effective, universally manageable, and the traceable way is perplexing owing to the fragile nature of the HSC, which is susceptible to redundant efforts and systemic risks that can lead to adverse impacts on consumer health and safety. Though the crisis shone a harsh light on the cracks and weaknesses of the HSC, it brings some significant insights into how HSC can be made more resilient and how healthcare industries figure out solutions to mitigate disruptions. While there are innumerable experiences learned from the disruption of this crisis, in this paper, five important areas to analyze the most vital and immediate HSC enhancements including building a resilient supply chain, thinking localization, implementing reliable reverse logistics, breaking down extant silos to achieve end-to-end visibility, and redesigning HSC using digitalization are emphasized. This work identifies important features related to CoT and HSC. Also, this study links these lessons to a potential solution through Chain of Things (CoT) technology. CoT technology provides a better way to monitor HSC products by integrating the Internet of Things (IoT) with blockchain networks. However, such an integrated solution should not only focus on the required features and aspects but also on the correlation among different features. The major objective of this study is to reveal the influence path of CoT on smart HSC development. Hence, this study exploits (i) fuzzy set theory to eliminate redundant and unrelated features; (ii) the Decision-Making and Experimental Evaluation Laboratory (DEMATEL) method to handle the intricate correlation among different features. This fuzzy-DEMATEL (F-DEMATEL) model attempts to direct CoT technology towards smart HSC by identifying the most influencing factors and investors are recommended to contribute to the development of application systems. This work also demonstrates how CoT can act a vital role in handling the HSC issues triggered by the pandemic now and in the post-COVID-19 world. Also, this work proposes different CoT design patterns for increasing opportunities in the HSC network and applied them as imperative solutions for major challenges related to traditional HSC networks.     

5G+物联网环境下智能金融场景应用的分析与建议

数字化的金融与数字化的物品有机集成与整合,可以使物联网中物品的物品属性与价值属性有机融合,革新现有业务体系,重构物联网金融业务生态体系。基于智能金融场景应用的发展思路和关键技术分析对银行实现金融科技生态圈建设、打造数字化银行至关重要。为此,结合商业银行物联网金融场景生态进程发展情况,提出具体建议,为我国商业银行物联网环境下金融场景创新应用提供决策参考。