scholarly journals Institutional Traps for the Development of a Corporation's Creative Potential

2021 ◽  
pp. 87-96
Author(s):  
Olga V. Brizhak
Keyword(s):  
Large Scale ◽  
Empirical Method ◽  
Creative Economy ◽  
Creative Potential ◽  
Russian Economy ◽  
New Business ◽  
Long Time ◽  
Creative Force ◽  
Free Generation ◽  
Institutional Traps

The process of free formation and development of the creative potential of corporations in the context of the expansion of the digital economy is associated with the emergence of specific obstacles, which in economic theory are called development traps. Verifying this position, the article analyzes the institutional pitfalls of the development of creative potential caused by modern transformations. The concept of the institutional trap, first formulated in the works of P. David and D. North, and further developed in the works of A. Auzan, E. Balatsky, G. Kleiner, V. Polterovich seems to have been known and developed for a long time, but this is the trap of the trap itself. Despite all the banality and familiarity of the category of institutional trap in the Russian economy associated with the establishment of an inefficient norm, in recent years it has again attracted the attention of participants in various areas of scientific research, since it has significant hidden opportunities in the study of the formation and development of the creative potential of the corporation in the era of modern transformations. The creative potential, represented as a powerful creative force, endowed with special intellectual capital and competencies, is actively involved in accelerating transformations, the results of which are not always predictable, expected, accompanied by certain obligations and very unpredictable inertial results. Effective implementation of the creative potential of the corporation and its intellectual core involves expanding the opportunities for free generation of the creative potential of the corporation and overcoming specific obstacles to this formation associated with the processes of large-scale economic transformations, network development, corporate standardization and nationalization. We present the creative potential of the corporation as a kind of intellectual core, consisting of professional intellectuals who are able to generate new business development ideas and offer capital combinations of resources that do not fit into the standards, claiming to be the main ones. Through the prism of the pitfalls of developing the creative potential of the corporation, the author examines the main problems and contradictions of the transformations taking place in the Russian economy at the present stage. The research was conducted using the resources of the system economy, creative economy, knowledge economy, institutional economy, dialectics method, comparative analysis method, and empirical method.

Creative economy: Towards cultural heritage capitalization

2017 ◽  
pp. 100-116 ◽  
Author(s):  
T. Abankina
Keyword(s):  
Cultural Heritage ◽  
Creative Industries ◽  
Creative Economy ◽  
Heritage Preservation ◽  
Creative Potential ◽  
Strategic Development ◽  
Post Industrial ◽  
Cultural Heritage Preservation

The paper analyzes trends in the development of the creative economy in Russia and estimates the export potential of the Russian creative industries. The author demonstrates that modern concepts of cultural heritage preservation focus on increasing the efficiency of its use and that building creative potential and systematic support of the creative industries are becoming a key task of the strategic development of regions and municipalities in the post-industrial era.

The Problem of Identifying and Modeling the Relationship between Monetary Factor and Inflation in the Russian Economy

2008 ◽  
pp. 61-76
Author(s):  
A. Porshakov ◽  
A. Ponomarenko
Keyword(s):  
Money Supply ◽  
Money Demand ◽  
Russian Economy ◽  
Long Run ◽  
Complex Approach ◽  
Wide Range ◽  
Long Time ◽  
The Relationship ◽  
Supply Side Factors

The role of monetary factor in generating inflationary processes in Russia has stimulated various debates in social and scientific circles for a relatively long time. The authors show that identification of the specificity of relationship between money and inflation requires a complex approach based on statistical modeling and involving a wide range of indicators relevant for the price changes in the economy. As a result a model of inflation for Russia implying the decomposition of inflation dynamics into demand-side and supply-side factors is suggested. The main conclusion drawn is that during the recent years the volume of inflationary pressures in the Russian economy has been determined by the deviation of money supply from money demand, rather than by money supply alone. At the same time, monetary factor has a long-run spread over time impact on inflation.

TO THE QUESTION OF RESPONSIBILITY FOR TORTURE IN THE RUSSIAN FEDERATION

2020 ◽  
Vol 10 (2) ◽  
pp. 103-106
Author(s):  
ASTEMIR ZHURTOV ◽  
Keyword(s):  
Human Rights ◽  
Russian Federation ◽  
Large Scale ◽  
Human Life ◽  
International Standards ◽  
World Community ◽  
The World ◽  
Long Time ◽  
Protection Of Human Rights ◽  
The Russian Federation

Cruel and inhumane acts that harm human life and health, as well as humiliate the dignity, are prohibited in most countries of the world, and Russia is no exception in this issue. The article presents an analysis of the institution of responsibility for torture in the Russian Federation. The author comes to the conclusion that the current criminal law of Russia superficially and fragmentally regulates liability for torture, in connection with which the author formulated the proposals to define such act as an independent crime. In the frame of modern globalization, the world community pays special attention to the protection of human rights, in connection with which large-scale international standards have been created a long time ago. The Universal Declaration of Human Rights and other international acts enshrine prohibitions of cruel and inhumane acts that harm human life and health, as well as degrade the dignity.Considering the historical experience of the past, these standards focus on the prohibition of any kind of torture, regardless of the purpose of their implementation.

Arts, Culture and the City: An Overview

2020 ◽  
Vol 46 (2) ◽  
pp. 10-21
Author(s):  
Charles Landry
Keyword(s):  
Business Models ◽  
Creative Economy ◽  
City Development ◽  
The Arts ◽  
Industrial Buildings ◽  
Social Innovations ◽  
New Business ◽  
Culture Heritage ◽  
Physical Assets ◽  
Social Importance

More people, more organizations, more towns, cities, regions and countries for more reasons have found that over the last 30 years the arts, their broader culture and overall creativity has something in it for them in renewal and revitalization. Over the last decade there have been over a hundred studies of the economic and social importance or impact of the arts, culture, heritage, the recycling of buildings for cultural purposes, creative quarters and the creative economy across the world. Yet there is much more to the arts, culture and creativity in city development. Places in transition urgently need to develop an overall culture of creativity cu ing across all domains within which the arts can be significant. This can be a painful exercise as old certainties crumble and systems, like education, need rethinking. Yet this can unleash new social innovations, new business models and new forms of citizen engagement. Renewal and transformation together are a cultural project involving a shift in mindset and perspective. Creativity is a primary resource as it creates the conditions from which innovations can emerge. Within this the creative economy sectors, especially when aligned to the dramatic digitization dynamic, play a significant role in developing new products and services, generating jobs, anchoring identity and helping expression. Cultural activities and programming and the physical assets of places, their heritage and older industrial buildings are significant elements in the renewal repertoire.

scholarly journals From “the Moon Is Rounder Abroad” to “Bravo, My Country”: How China Misperceives the World

2021 ◽  
Vol 56 (1) ◽  
pp. 112-130 ◽  
Author(s):  
Haifeng Huang
Keyword(s):  
Large Scale ◽  
Chinese Society ◽  
The Moon ◽  
Foreign Countries ◽  
The Social ◽  
The World ◽  
Long Time ◽  
Global Affairs ◽  
Chinese Public

AbstractFor a long time, since China’s opening to the outside world in the late 1970s, admiration for foreign socioeconomic prosperity and quality of life characterized much of the Chinese society, which contributed to dissatisfaction with the country’s development and government and a large-scale exodus of students and emigrants to foreign countries. More recently, however, overestimating China’s standing and popularity in the world has become a more conspicuous feature of Chinese public opinion and the social backdrop of the country’s overreach in global affairs in the last few years. This essay discusses the effects of these misperceptions about the world, their potential sources, and the outcomes of correcting misperceptions. It concludes that while the world should get China right and not misinterpret China’s intentions and actions, China should also get the world right and have a more balanced understanding of its relationship with the world.

World 2021: Pandemic and economic problems remain acute

2021 ◽  
pp. 5-20
Author(s):  
M. V. Ershov
Keyword(s):  
Economic System ◽  
Global Economy ◽  
Large Scale ◽  
Real Economy ◽  
Economic Problems ◽  
Support Measures ◽  
Long Time ◽  
Digital Money ◽  
Successful Business ◽  
The Stability

The global economy continues to grow, albeit mainly due to large-scale support measures from governments and regulators. Moreover, the latter are not sure about the prospects for such development, since the economies do not demonstrate the potential for independent growth. As a result, in order to stimulate it, regulators are forced to expand the range of their tools, mechanisms, approaches, otherwise the risks to the stability of the global financial and economic system increase. All this is happening against the background of negative rates, which have become virtually ubiquitous and persist for a long time. New growth records are being set in the stock markets, and their gap from the real economy is growing. A number of sectors are beginning to dominate, forming distortions and bubbles in the markets. In such conditions, the importance of digital money, ecosystems, etc. increases. Moreover, the faster and more efficiently regulators can integrate into these formats, the more successful business, the population, and the economy as a whole will be.

EVALUATION OF THE EFFECTIVENESS OF INNOVATIVE DEVELOPMENT OF HIGH-TECH SECTORS OF THE RUSSIAN ECONOMY

2021 ◽  
Vol 3 (5) ◽  
pp. 19-22
Author(s):  
A. M. GUBERNATOROV ◽  
Keyword(s):  
Large Scale ◽  
High Tech ◽  
Economic Systems ◽  
Innovative Development ◽  
Development Indicators ◽  
Russian Economy ◽  
Main Development ◽  
Key Indicators ◽  
Digital Processes

The article deals with the management of innovative development of economic systems. Enterprises of high-tech sectors of the economy were selected as the object of the study. It is proved that innovative trans-formations in the chosen industry are inevitable and this industry is undergoing significant transformations caused by large-scale digital processes. It is proved that the effectiveness of the innovative development of the industry is associated with the monitoring of its main development indicators, and therefore a system for evaluating the innovative development of high-tech industries based on key indicators is proposed.

The future of the Internet of Things: toward heterarchical ecosystems and service business models

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Value Chain ◽  
Large Scale ◽  
Business Models ◽  
The Internet ◽  
Content Type ◽  
Industry Collaboration ◽  
New Business ◽  
The Internet Of Things

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

scholarly journals Self-Adaptive K-Means Based on a Covering Algorithm

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Yiwen Zhang ◽  
Yuanyuan Zhou ◽  
Xing Guo ◽  
Jintao Wu ◽  
Qiang He ◽  
...  
Keyword(s):  
Large Scale ◽  
Clustering Algorithm ◽  
Real Data ◽  
Second Phase ◽  
Data Sets ◽  
Number Of Clusters ◽  
Large Scale Data ◽  
Long Time ◽  
Two Phases ◽  
Selection Of

The K-means algorithm is one of the ten classic algorithms in the area of data mining and has been studied by researchers in numerous fields for a long time. However, the value of the clustering number k in the K-means algorithm is not always easy to be determined, and the selection of the initial centers is vulnerable to outliers. This paper proposes an improved K-means clustering algorithm called the covering K-means algorithm (C-K-means). The C-K-means algorithm can not only acquire efficient and accurate clustering results but also self-adaptively provide a reasonable numbers of clusters based on the data features. It includes two phases: the initialization of the covering algorithm (CA) and the Lloyd iteration of the K-means. The first phase executes the CA. CA self-organizes and recognizes the number of clusters k based on the similarities in the data, and it requires neither the number of clusters to be prespecified nor the initial centers to be manually selected. Therefore, it has a “blind” feature, that is, k is not preselected. The second phase performs the Lloyd iteration based on the results of the first phase. The C-K-means algorithm combines the advantages of CA and K-means. Experiments are carried out on the Spark platform, and the results verify the good scalability of the C-K-means algorithm. This algorithm can effectively solve the problem of large-scale data clustering. Extensive experiments on real data sets show that the accuracy and efficiency of the C-K-means algorithm outperforms the existing algorithms under both sequential and parallel conditions.

scholarly journals Local Differential Privacy for Evolving Data

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Matthew Joseph ◽  
Aaron Roth ◽  
Jonathan Ullman ◽  
Bo Waggoner
Keyword(s):  
Large Scale ◽  
Differential Privacy ◽  
Statistical Information ◽  
Underlying Distribution ◽  
Specific Distribution ◽  
Time Period ◽  
Long Time ◽  
Heavy Hitter ◽  
Single Use ◽  
A New Technique

There are now several large scale deployments of differential privacy used to collect statistical information about users. However, these deployments periodically recollect the data and recompute the statistics using algorithms designed for a single use. As a result, these systems do not provide meaningful privacy guarantees over long time scales. Moreover, existing techniques to mitigate this effect do not apply in the “local model” of differential privacy that these systems use. In this paper, we introduce a new technique for local differential privacy that makes it possible to maintain up-to-date statistics over time, with privacy guarantees that degrade only in the number of changes in the underlying distribution rather than the number of collection periods. We use our technique for tracking a changing statistic in the setting where users are partitioned into an unknown collection of groups, and at every time period each user draws a single bit from a common (but changing) group-specific distribution. We also provide an application to frequency and heavy-hitter estimation.

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