scholarly journals DIGITAL TRANSFORMATION OF THE STOCK MARKET: EXPERIENCE OF UKRAINE AND BEST INTERNATIONAL PRACTICES

2021 ◽  
Author(s):  
N.B. Tataryn ◽  
M.A. Sarafyn ◽  
K.A. Stadniuk
Keyword(s):  
Stock Market ◽  
Information And Communication Technologies ◽  
Asset Management ◽  
Financial Management ◽  
Information Technologies ◽  
World Market ◽  
Business Analytics ◽  
Stock Market Development ◽  
Blockchain Technology ◽  
Asset Management System

The article is devoted to the analysis of the peculiarities of the functioning of the stock market of Ukraine and the identification of problems of its development in the conditions of digitalization of the economy. The essence of the stock market as a necessary element of the infrastructure of a market economy is revealed. The formation of the stock market of Ukraine is analyzed and the main features of its functioning are given. The analysis of the state and dynamics of the stock market development is carried out. The directions of development of new digital tools and increase of efficiency of the existing information technologies are substantiated. The main trends and patterns of digitalization of the stock market in terms of the transformational component are analyzed. The issue of changing the total issue of securities in recent years on the stock market of Ukraine is considered. Emphasis is placed on the existing problems in the development of digital instruments of the stock market of Ukraine, which hinder its effective functioning, in particular limited legislation and lack of ecosystem for business startups on the model of foreign countries. It is emphasized that the emergence and development of digital instruments in the stock market in Ukraine is closely linked to world market trends. It was emphasized that Ukraine needs to more actively implement international practices of dissemination of information and communication technologies. The essence of such concepts as “alternative forms of payment”, “asset management system”, “lending models” is revealed. The process of introduction of digital business analytics systems on the stock market of Ukraine and its development prospects are described. The peculiarities of crowdfunding in Ukraine are compared with the world practice; the main issues of crowdfunding development are presented. The main disadvantages of using computer information technology are highlighted. The need to introduce artificial intelligence tools in the stock market is emphasized, as it provides the opportunity for individual advice on financial management. The influence of blockchain technology on the functions and technologies of stock exchanges is considered.

scholarly journals Blockchain in Energy Efficiency: Potential Applications and Benefits

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3317 ◽  
Author(s):  
Asma Khatoon ◽  
Piyush Verma ◽  
Jo Southernwood ◽  
Beth Massey ◽  
Peter Corcoran
Keyword(s):  
Energy Efficiency ◽  
Information And Communication Technologies ◽  
Asset Management ◽  
Large Scale ◽  
Energy System ◽  
Energy Trading ◽  
Trading Systems ◽  
Energy Company ◽  
Blockchain Technology ◽  
Smart Contract

Blockchain technology is ready to disrupt nearly every industry and business model, and the energy sector is no exception. Energy businesses across the world have already started exploring the use of blockchain technology in large-scale energy trading systems, peer-to-peer energy trading, project financing, supply chain tracking, and asset management among other applications. Information and Communication Technologies (ICTs) recently started revolutionizing the energy landscape, and now blockchain technology is providing an additional opportunity to make the energy system more intelligent, efficient, transparent, and secure in the longer term. The idea of this paper is to examine more closely the use of blockchain technology for its possible application in the energy efficiency industry and to determine how it could make energy efficiency markets more secure and transparent in the longer term. This paper examines in detail the key benefits and implications of using blockchain in the energy efficiency sector through the presentation and discussion of two case studies as possible blockchain applications—(i) the UK Energy Company Obligation scheme and (ii) the Italian White Certificate Scheme. We have presented how the key issues around trading energy efficiency savings—correctly estimating the savings, data transparency among stakeholders, and inefficient administrative processes—can be solved through the application of a blockchain-based smart contract system. Finally, this paper presents an implementation of a smart contract for trading of energy-saving certificates achieved via execution of smart contract transactions on the Ethereum blockchain.

scholarly journals Critical Care Equipment Management Reimagined in an Emergency

2020 ◽  
Author(s):  
Winston Yong ◽  
Anya Kundakchian
Keyword(s):  
Critical Care ◽  
Healthcare System ◽  
Asset Management ◽  
Management System ◽  
Predictive Analytics ◽  
Hospital Data ◽  
Blockchain Technology ◽  
Set Up ◽  
Asset Management System ◽  
National Emergency

Summary: The COVID19 pandemic created a surge in demand for critical care equipment against a backdrop of fast-moving geographic virus hotspots. A team from IBM Europe was put together to prove that a devolved healthcare system can be rapidly bridged by a mix of advanced and legacy technologies to provide a federated view of critical care equipment deployment and use during an emergency. This was achieved with the deployment of predictive analytics and blockchain, integrated with conventional hospital management system. The corollary investigation determined the manner in which this system can be harnessed in a postemergency recovery to provide a national supply chain efficiency backbone. Method: During a period of 2 weeks, a team of IBM consultants set up a technology sandbox environment to represent a network of an equipment manufacturer, a central national emergency monitoring center, and several hospitals managed by their respective trust organization. Within this environment, a hospital asset management system, Maximo, was configured to manage and track critical care equipment within a hospital; a blockchain traceability platform, IBM’s Blockchain Transparency System, was configured to ingest multiple hospital data reports; and a predictive analytic dashboard, Watson Analytics, would retrieve data from the blockchain platform to supplement other data sources to provide national views and support decision-making for the supply and movement of equipment. Three key principles in the design of this environment are speed, reuse, and minimal intrusion. Results: The hypothesis was to test whether the chosen technologies can overcome the challenges of misaligned demand and supply of critical care equipment during a national emergency. The execution of the tests led to successful simulation of three scenarios: (1) the tracking of the location and usage history of any single equipment that has been placed into the network; (2) the movement of equipment between independent hospitals is recorded and reported; (3) a real-time interrogation of the current location and status of all registered equipment. Conclusions: The successful completion of this proof of concept has demonstrated that emerging technology can be used to overcome poor macro level coordination and planning, which are the drawbacks of a devolved healthcare system. The corollary was that this proof also demonstrated that blockchain technology can be used to prolong the useful life of conventional technology.

scholarly journals KEY INFORMATION TECHNOLOGIES OF INDUSTRY 4.0

2020 ◽  
Vol 9 (20) ◽  
Author(s):  
Savo Stupar ◽  
Emir Kurtović ◽  
Mirha Bičo Ćar
Keyword(s):  
Information And Communication Technologies ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Web Applications ◽  
Industrial Revolution ◽  
Big Data Analytics ◽  
Computer Data ◽  
Theoretical Concepts ◽  
Advantages And Disadvantages ◽  
Blockchain Technology

In the last ten years, three new information technologies have emerged, representing the realization of old (by the time of emergence) theoretical concepts, but new in creativity and innovation, as well as incredible potential for the realization of revolutionary ideas and changes in all areas of human activity, which by one name they call 4th Industrial Revolution or Industry 4.0. They are: Big Data Analytics technology, Cloud Computing and Blockchain technology. Each of them individually represents the realization of new paradigms of computer data processing, which could not be practically implemented until the development of information and communication technologies, especially the Internet, Web applications, new operating systems, network technologies, mobile telephony, technologies of advancement of hardware performances, internet of things, etc. The primary aim of this paper is to get acquainted with the characteristics of these technologies and their potentials, their advantages and disadvantages in relation to traditional technologies, identification of areas and ways of their both current and future applications. The ultimate goal is to explain the incredible potential of these technologies, creating the foundation for their combined application in the creation of new Industry 4.0 products, which should result in a synergistic effect.

scholarly journals The stock market infrastructure development in formation of the investment bank business model in Ukraine

2021 ◽  
Vol 5 (3) ◽  
pp. 39-51
Author(s):  
Yulia Onyshchenko
Keyword(s):  
Stock Market ◽  
Business Model ◽  
Trading Volume ◽  
Information Technologies ◽  
Market Development ◽  
Infrastructure Development ◽  
Financial Instruments ◽  
Investment Bank ◽  
Stock Market Development ◽  
Market Infrastructure

Introduction. Modern trends in the world economy development cause an objective process of increasing stock market role and stimulate forming of investment bank business model in the domestic financial markets. Aim and tasks. The aim is to determine the role of the stock market infrastructure development in formation of the investment bank business model in Ukraine. It is necessary to perform the following tasks to achieve this goal: to determinate direction of Ukrainian financial market development and to analyze dynamic of the structure of loan and investment bank portfolio in last five years which allow to evaluate forming of the investment bank business model in Ukraine; to estimate the stock market infrastructure development through its participants. Results. The analysis of the loan and investment bank portfolio structure has shown rising of banks’ interest to the operations in the stock market and forming of the investment bank business model in Ukraine. But the structure of the investment portfolio of Ukrainian banks is dominated by domestic government bonds. The main reasons of such investment structure: the low total trading volume in the stock market; the absence of other financial instruments in the stock market; the low level of stock market development through the need to form stock market infrastructure. Studying the stock market infrastructure essence has substantiated the using of institutional approach to identify the level of its development. To the infrastructure participants in the stock market it is carried out organization of trade in financial instruments, clearing institutions, depository system, information, analytical and rating agencies. The infrastructural participants of the stock market in Ukraine has been characterized and analyzed. Conclusions. The Ukrainian stock market infrastructure is actively developing in the direction of creating conditions that brings it as close as possible to European and world standards. Such situation will make foundation of the investment bank business model forming. But conducted research has shown that it is necessary, on the one side, to stimulate the increase in stock trading volume and, on the other side, to make the stock market more accessible not only to investors, but to individuals too. The development of information technologies as an integral part of the stock market infrastructure in Ukraine has been worked out.

An Application of Blockchain in Stock Market

2020 ◽  
pp. 103-118 ◽  
Author(s):  
Rajit Nair ◽  
Amit Bhagat
Keyword(s):  
Stock Market ◽  
Financial Management ◽  
Market Analysis ◽  
Financial Data ◽  
Stock Exchanges ◽  
Financial Security ◽  
Blockchain Technology ◽  
Market Management ◽  
System Risk ◽  
Market Transaction

Blockchain is one of the growing technologies used for financial management systems. Financial data must be kept secure otherwise it can create a huge loss. So, whenever security features or technologies are developed must keep financial security as a priority. Stock market management is another area of finance sector that works on two concepts, that is, minimize the risk and maximize the profit. In this chapter, the authors discuss how blockchain technology is used for stock market analysis. Mainly blockchain will help us to make optimal stock exchanges through automation and decentralization. Stock market across the globe is rapidly using blockchain technology for the market transaction. Some of the country is still preparing themselves to use the blockchain technology. This technology offers huge potential for tracing securities lending, margin financing, and surveillance of system risk.

scholarly journals EVALUATING GREEN IT IN LOCAL ADMINISTRATION

2020 ◽  
Author(s):  
Manuel Landum ◽  
◽  
M. M. M. Moura ◽  
Leonilde Reis ◽  
◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Financial Management ◽  
Information Technologies ◽  
Integrated Management ◽  
Communication Technologies ◽  
Local Administration ◽  
Green It ◽  
Use Of Technology ◽  
Information And Communication

This work is prompted by the massive use of Information and Communication Technologies, the need for alignment with the business, the concern for integrated management and the need to protect natural resources and the environment. This article aims to present a framework, multidimensional and multidisciplinary, from the perspective of sustainability, in the treatment of Green IT, involving environmental issues and social responsibility, Governance of Information Technologies and Financial Management, in the context of Public Administration, more specifically in local administration. The methodology used is based on the literature review, in the field of thematic, and on a case study in development in local government, in order to analyze the feasibility and suitability with the validation of the framework. The main results obtained in the case study focus on the use of technology allied to Green IT, with theoretical reflexes for environmental quality and with possible cost reduction.

Asset Inspection Management System as a Reliable Inspection/ Monitoring Tool

2020 ◽  
Vol 78 (12) ◽  
pp. 1276-1285
Author(s):  
Shibu John A
Keyword(s):  
Asset Management ◽  
Management System ◽  
Balance Sheet ◽  
Integrity Assessment ◽  
Material Evaluation ◽  
The People ◽  
Physical Assets ◽  
Asset Management System ◽  
On Time Delivery ◽  
Capital Intensive

Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).

Investigation of Timing Anomalies in the Russian Stock Market in the Post-Crisis Period

2019 ◽  
Vol 12 (3) ◽  
pp. 37-47
Author(s):  
I. Ya. Lukasevich
Keyword(s):  
Stock Market ◽  
Information Technologies ◽  
Real Data ◽  
Weak Form ◽  
Fair Value ◽  
Presidential Decree ◽  
Day Of The Week ◽  
Russian Stock Market ◽  
Economic Growth Rates ◽  
Global And Local

The implementation of the May presidential decree aimed at Russia’s joining the top five global economies and achieving economic growth rates above the world’s average while maintaining macroeconomic stability requires a highly developed and efficient stock market ensuring the accumulation of capital and its deployment in the most promising and productive sectors of the economy.The subject of the research is timing anomalies in the Russian stock market in 2012–2018. The relevance of the research is due to the information inefficiency of the Russian stock market and its imperfections leading to significant price deviations from the «fair» value of assets and depriving investors of the opportunity to form various strategies for deriving additional revenues not related to fundamental economic factors and objective processes occurring in the global and local economies and the economy of an individual business entity. Based on the trend analysis of the Broad Market USD Index (RUBMI), the paper demonstrates a methodology for simulating the analysis of price anomalies on large arrays of real data using statistical data processing methods and modern information technologies. The paper concludes that though the Russian stock market lacks even the weak form of efficiency, such well-known timing anomalies as the “day-of-the-week” effect and the “month” effect have not been observed in the recent years. Therefore, investors could not use these anomalies to derive regular revenues above the market average.

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