Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study

2017 ◽  
Vol 111 (1) ◽  
pp. 463-492 ◽  
Author(s):  
Gustavo Cattelan Nobre ◽  
Elaine Tavares
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Circular Economy ◽  
Scientific Literature ◽  
Bibliometric Study ◽  
Literature Analysis

scholarly journals Assessing the Role of Big Data and the Internet of Things on the Transition to Circular Economy: Part I : An extension of the ReSOLVE framework proposal through a literature review

2020 ◽  
Vol 64 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Gustavo Cattelan Nobre ◽  
Elaine Tavares
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Literature Review ◽  
Circular Economy ◽  
Grey Literature ◽  
Modern Technology ◽  
The Internet ◽  
Extensive Literature ◽  
Statistical Tool ◽  
The Internet Of Things

The debate about circular economy (CE) is increasingly present in the strategic agenda of organisations around the world, being driven by government agencies and general population pressures, or by organisations’ own vision for a sustainable future. This is due in part to the increasing possibility of turning original theoretical CE proposals into real economically viable initiatives, now possible with modern technology applications such as big data and the internet of things (IoT). Information technology (IT) professionals have been called upon to incorporate technology projects into their strategic plans to support their organisations’ transition to CE, but a structured framework with the necessary IT capabilities still lacks. This study focuses on taking the first step towards this path, by extending the technology attributes present on the existing Ellen MacArthur Foundation (EMF) Regenerate, Share, Optimise, Loop, Virtualise and Exchange (ReSOLVE) framework. The research was conducted based on an extensive literature review through 226 articles retrieved from Scopus® and Web of ScienceTM databases, which were triangulated, validated and complemented with content analysis using the ‘R’ statistical tool, grey literature research and inputs from specialists. Part I describes the introduction and methods used in this study.

scholarly journals Application of Big Data Analytics in Customization of E-mass Service: Main Possibilities and Obstacles

2019 ◽  
Vol 82 (1) ◽  
pp. 1-11
Author(s):  
Gedas Baranauskas
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Planning Process ◽  
Scientific Literature ◽  
Cost Optimization ◽  
Big Data Analytics ◽  
Literature Analysis ◽  
Mass Service ◽  
Service Customization

AbstractThe paper is based on a scientific literature analysis and, by examining scientific insights, it focuses on the assumption that Big Data Analytics (BDA) is an alternative used in modern organizations in decision making at e-mass service customization. An overall orientation to BDA application in management processes is presented as a useful construct not only for improving the decision-making procedure but also as a relevant source for strategic planning, process and cost optimization activities as well as for changes in supply chain and risk management. The data was obtained through the scientific literature analysis and systematized theoretical insights of the BDA influence in both possibility and obstacle dimensions to e-mass service customization.

Circular, Smart, and Connected Cities

2019 ◽  
pp. 19-32
Author(s):  
Begum Sertyesilisik
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Circular Economy ◽  
New Technologies ◽  
Smart Cities ◽  
Recovery Processes ◽  
Building Information ◽  
Information And Communication

Majority of the humanity is living in the cities. Cities have adverse environmental impact. Their environmental footprints need to be reduced. As the world's living conditions deteriorate, the survival of the humanity depends on the precautions taken. These precautions can include sustainable living styles, new technologies, and circular economy principles. Furthermore, climate change caused disasters can have adverse consequences as they can be deadly and as they can result in economic loss. The cities need to be resilient so that disasters adverse consequences can be reduced and the post-disaster phase rescue and recovery processes can be effectively carried out. Circular, smart and connected cities based on the new technologies such as big data, Information and Communication Technology (ICT), and Internet of Things (IoT) can contribute to the cities' sustainability and resilience performance. This chapter aims to investigate the roles of big data, IoT, ICT, as well as circular, connected and smart cities in enhancing sustainability and resilience of the cities. With this aim, based on the literature review, this chapter covers: need for, pillars of and aspects of smart, sustainable, circular, and resilient cities as well as ways for transforming the cities into smart, sustainable, circular, and resilient ones. This chapter can be beneficial to the researchers, academics, construction professionals, and policy makers.Keywords: Disaster; Internet of Things; Information and Communication Technology; Smart Cities; Big Data; Resilience; Building Information Modelling; Circular Cities; Circular Economy

scholarly journals Bibliometric Analysis of Scientific Productivity around Edge Computing and the Internet of Things

IoT ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 436-450
Author(s):  
Antonio-José Moreno-Guerrero ◽  
Francisco-Javier Hinojo-Lucena ◽  
Magdalena Ramos Navas-Parejo ◽  
Gerardo Gómez-García
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Bibliometric Analysis ◽  
Technological Progress ◽  
Scientific Literature ◽  
Scientific Productivity ◽  
Edge Computing ◽  
The Internet ◽  
The Past ◽  
The Internet Of Things

Technological progress has recently led to the emergence of various technological resources and means that are improving specific aspects of society. An example of this can be found in the “internet of things” and “edge computing”. The present study aims at knowing and analyzing the scientific literature of the set of terms formed by “edge computing” and “internet of things”, called from now on ECIT. In order to carry out the research, a study has been developed, based on bibliometrics, by means of scientific mapping. In this case, different production indicators have been taken into account, as well as the structural and dynamic development of the terms and authors extracted from the publications through the programs Analyze Results, Creation Citation Report and SciMAT. The results indicate that the study theme “edge computing” and “internet of things” is of recent creation, given that its beginnings date back to 2014. Since then the level of production has been dizzying, increasing considerably in the past two years. It can be concluded that the field of study of ECIT is of recent creation, with a solid research base based on the “internet of things”. Furthermore, the themes “big data”, “energy” and “framework” can be considered as the future lines of research on ECIT.

scholarly journals THE STUDY ABOUT ELECTRIC VEHICLES IN LITHUANIA

2021 ◽  
Vol 6 ◽  
pp. 255-263
Author(s):  
Jurgita Ginavičienė ◽  
Indrė Sprogytė
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Circular Economy ◽  
Scientific Literature ◽  
Literature Analysis ◽  
Electric Cars ◽  
Electric Car ◽  
Electrical Vehicle ◽  
Vehicle Market

Electric cars are very important for the circular economy. If we are using the electric vehicle we can reduce emission savings and protect the environment. Electric vehicles can contribute to energy efficiency, reducing carbon emissions unfortunately, despite everything, the development of the electric vehicle market in Lithuania remains relatively slow. Electric vehicles are more expensive than traditional vehicles, there is a lack of the necessary infrastructure, and consumers do not have enough information on the benefits of green cars. The main purpose of this article is to research electric vehicles market in Lithuania. The methods of research include scientific literature analysis, statistics data comparative analysis. Electrical vehicle market in Lithuania is growing. From 2017 until 2020 M1 class electric cars was purchased 35 %. At the same period the market of new electric car increased 50 %, used electric vehicle increased only 27 %.  

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