Что такое цифровая экономика? Тренды, компетенции, измерение: докл. к XX Апр. междунар. науч. конф. по проблемам развития экономики и общества, Москва, 9–12 апр. 2019 г.
In this Chapter the ILO approaches to electronic employee records keeping is analysed as well as the regulatory approaches to this issue in EAEU and BRICS countries.
This article is devoted to the questions to the notions “digital economy,” “digital asset”, “Big Data.” It provides the reader on the view’s resident in economic and legal doctrines as to the notions of “digital asset” and “Big Data.”
The purpose of this article is to investigate the legal nature and legal regime of the digital assets, big data.
It should be stressed that “Big Data” is a property complex including a group objects with different legal nature, which has a common aim. The aim of this property complex is combined (connected) this group objects (elements of the complex) into one object of civil law. This object of civil law has features tradability and it involves specific methods, forms and means to protect the rights of its owner.
The following conclusions are drawn that Big Data consist in 1) information, which conclude “raw data” and the results of processing of “raw data” (which may be including materialized form), 2) property rights (for example, intellectual rights of the electronic computers programs, database). Moreover, it is stressed that the feature of this property complex is the value (for individuals or society) not only itself, but also the elements of such a complex
The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia.
The publications within “Advances in Intelligent Systems and Computing” are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.
This book contains a selection of papers accepted for the presentation and discussion at the 2018 International Conference on Digital Science (DSIC’18). This Conference had the support of the Institute of Certified Specialists, Russia, AISTI (Iberian Association for Information Systems and Technologies), and Springer. It will take place at Convention Centre, Budva, Montenegro, October 19–21, 2018. DSIC’18 is an international forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences, and concerns in the several perspectives of Digital Science. The main idea of this Conference is that the world of science is unified and united allowing all scientists/practitioners to be able to think, analyze, and generalize their thoughts. DSIC aims efficiently to disseminate original research results in natural, social, art, and humanities sciences. An important characteristic feature of the Conference should be the short publication time and worldwide distribution. This Conference enables fast dissemination, so conference participants can publish their papers in print and electronic format, which is then made available worldwide and accessible by numerous researchers. The Scientific Committee of DSIC’18 was composed of a multidisciplinary group of 26 experts. One hundred and seven invited reviewers who are intimately concerned with Digital Science have had the responsibility for evaluating, in a “double-blind review” process, the papers received for each of the main themes proposed for the Conference: Digital Art and Humanities; Digital Economics; Digital Education; Digital Engineering; Digital Environmental Sciences; Digital Finance, Business and Banking; Digital Media; Digital Medicine, Pharma and Public Health; Digital Public Administration; Digital Technology and Applied Sciences.
DSIC’18 received 88 contributions from 16 countries around the world. The papers accepted for the presentation and discussion at the Conference are published by Springer (this book) and will be submitted for indexing by ISI, SCOPUS, among others.
Platforms as key players in multi-sided markets do not turn out to be the latest phenomenon in the economy. However, rapid development of digital technologies and widespread Internet access have raised a question on the need to determine their subject area, as well as the effects of their emergence and functioning. Platforms emerge in multi-sided markets, they link two or more groups of users, build their business models on network effects, and use non-neutral price structure to attract more users on both sided. Platform can connect different groups of users whose interaction with one another raises positive (consumers, producers, government) and negative (advertisers and platform users) indirect network effects. At the same time, connecting advertisers to the platform may, on the one hand, be associated with the fact that advertisers may assume that the viewers of the advertisement will make a purchase one day. On the other hand, viewers of the advertisement can watch it due to the Arrow information paradox. This paper while determining the characteristics of players in multi-sided markets proposes an approach to analyzing their coordination and distribution effects. The variance in the estimates of these effects may be associated with a disparity of distributional effects valuations, and, apart from this, it may be bounded to the interval of the study. These estimates are important in the light of a widespread debate in the academic and decision-making community on the need of changes in competition law enforcement regarding regulation of platforms.
Due to the rapid development of digital economy and frequently emerged new players in the markets, information aggregators, there exists a need to determine what they are to limit the subject field of this concept. This work is an attempt to set a scope of information aggregators, highlight their functional relationship with intermediaries, platforms on two-sided (multi-sided) markets. The conducted research shows that the emergence of an aggregator on a two-sided market is possible when reducing average (per transaction) transaction costs, that reflects different ways to internalize positive indirect network externalities. Furthermore, the comparative advantages of aggregator emergence are closely connected with the type of goods exposed in the market