The information economy model applied to biological similarity judgment.

2004 ◽  
pp. 203-225 ◽  
Author(s):  
James S. Boster
Keyword(s):  
Similarity Judgment ◽  
Information Economy ◽  
Economy Model ◽  
Biological Similarity

Philosophical Perspective on the Digital Economy

2021 ◽  
Vol 36 (1) ◽  
pp. 244-248
Author(s):  
Kefei Lyu ◽  
Xinjie Chen ◽  
Taehun Ko ◽  
Deshun Kong ◽  
Lu Irina
Keyword(s):  
Human Development ◽  
Industrial Revolution ◽  
Modern Society ◽  
Sharing Economy ◽  
Digital Economy ◽  
Free Time ◽  
Human Society ◽  
Information Economy ◽  
Philosophical Perspective ◽  
Economy Model

The digital economy is a new economic era and social form of human society after the industrial revolution and information economy. It creates the free time and free activities needed for human development, provides an exploratory plan for the modern society to move toward the sharing economy, and brings many development relations issues that we need to face and examine objectively. From the perspective of human development, this paper deeply discussed the development progress of digital economy through specific cases. We believe that the digital economy breaks the rigid and rational world of humankind based on causality but makes more possible correlations become the philosophical support behind the digital economy model, thereby creating more possibilities for.

Non-Public Monetary Systems in information Economy

2013 ◽  
pp. 151-159
Author(s):  
O. Krasilnikov ◽  
E. Krasilnikova
Keyword(s):  
Transaction Costs ◽  
Information Economy ◽  
Internet Technologies ◽  
Monetary Systems ◽  
Public Money ◽  
Economic Institution

The article discusses the development of non-public monetary systems (NPMS), defined as a specific economic institution. It presents their comparison with public money systems depending on the size of transaction costs. The authors come to the conclusion that in conditions of the information economy on the basis of Internet-technologies NPMS receive a new impetus to their development and can make serious competition in regard to public monetary systems.

A Political Economy Model of a Research University

2009 ◽  
pp. 132-143
Author(s):  
K. Sonin ◽  
I. Khovanskaya
Keyword(s):  
Organizational Structure ◽  
Information Structure ◽  
Research University ◽  
Hiring Decisions ◽  
Voting Rules ◽  
Economy Model ◽  
Trade Offs ◽  
Political Economic ◽  
Optimal Incentives

Hiring decisions are typically made by committees members of which have different capacity to estimate the quality of candidates. Organizational structure and voting rules in the committees determine the incentives and strategies of applicants; thus, construction of a modern university requires a political structure that provides committee members and applicants with optimal incentives. The existing political-economic model of informative voting typically lacks any degree of variance in the organizational structure, while political-economic models of organization typically assume a parsimonious information structure. In this paper, we propose a simple framework to analyze trade-offs in optimal subdivision of universities into departments and subdepartments, and allocation of political power.

A Digital Economy Model for Talent Prediction Data Analytic

2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo
Keyword(s):  
Business Model ◽  
Industrial Revolution ◽  
Technology Innovation ◽  
Cost Effective ◽  
Sharing Economy ◽  
Token Economy ◽  
Economy Model ◽  
New Business ◽  
The Cost ◽  
Data Analytic

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.

Solow economy model

2019 ◽  
pp. 150-157
Author(s):  
Oleksandr Synenko ◽  
Kateryna Yarema ◽  
Yuliia Bezsmertna
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Solow Model ◽  
Economy Model ◽  
Accelerated Depreciation ◽  
Basic Parameters ◽  
The Subject ◽  
Investment Process ◽  
The Impact ◽  
Model Algorithm

The subject of the research is the approach to the possibility of using the Solow model to perform the regression analysis on the example of the Ukrainian economy model. The purpose of writing this article is to investigate the notion of regres- sion analysis, Solow’s economy model, algorithm for performing regression analy- sis on the example of Ukraine’s economy model. This model can be adapted for the economy of enterprises. Methodology. The research methodology is system-struc- tural and comparative analyzes (to study the structure of GDP); monograph (when studying methods of regression analysis on the example of the Ukrainian economy); economic analysis (when assessing the impact of factors on Ukraine’s GDP). The scientific novelty consists the features of the use of the Solow model on the ex- ample of Ukrainian economy are determined. An algorithm for calculating the basic parameters of a model using the Excel application package is disclosed. The main recommendations on the development of the national economy and economic growth through the use of macroeconomic instruments are given. Conclusions. The use of the Solow model enables forecasting and analysis. The results obtained re- vealed the problem of low resource return of capital as a resource, along with the means of macroeconomic regulation of the investment process, using which can improve the situation. A special place in these funds belongs to the accelerated depreciation and interest rate policies.

Information Economy: the Formation of Special-Purpose Categoriсal Framework

2017 ◽  
Vol 13 (3) ◽  
pp. 5-19 ◽  
Author(s):  
E.P. Semenyuk ◽  
◽  
Ya.V. Kotlyarevsky ◽  
S.I. Kniaziev ◽  
O.V. Melnikov ◽  
...  
Keyword(s):  
Information Economy

VECTORS OF HIGHER EDUCATION SECTOR TRANSFORMATION IN CONDITIONS OF THE INFORMATION ECONOMY FORMATION

2017 ◽  
Vol 1 (4(12)) ◽  
pp. 44-49 ◽  
Author(s):  
Nataliia Valeriivna Tkalenko ◽  
◽  
Natalia Ivanivna Kholіavko ◽  
Kateryna Volodymyrivna Hnedina ◽  
◽  
...  
Keyword(s):  
Higher Education ◽  
Education Sector ◽  
Information Economy

IMPLEMENTATION OF THE ECONOMIC CONCEPT OF A CLOSED CYCLE

2020 ◽  
Vol 2 (10) ◽  
pp. 4-10
Author(s):  
A. V. SAMOYLOV ◽  
◽  
A. P. DROZDOVA ◽  
S. M. MOLCHANOVA ◽  
◽  
...  
Keyword(s):  
Circular Economy ◽  
Renewable Energy Sources ◽  
Policy Instruments ◽  
Resource Consumption ◽  
Closed Cycle ◽  
Economy Model ◽  
Existing Problems ◽  
Economic Concept ◽  
Foreign Countries ◽  
Improved Design

The article discusses the basic principles of the implementation of the transition from a linear economy to a circular economy model. The article summarizes the existing problems that require solutions to create new jobs, increase economic growth, and create a balance between the economy, environment and population. The authors present examples of building a circular economy model in foreign countries. The importance of the tasks of implementing and promoting the circular economy was revealed, thanks to the involvement of all participants in the society in this process and the motivation for companies and investors. Effective tools for moving society towards a resource-efficient closed-cycle economy, increasing energy efficiency, energy conservation and reducing the energy intensity of the gross domestic product, due to the entry into a competitive level of renewable energy sources are investigated. The introduction of digital technologies and artificial intelligence in automated accounting of resource consumption, as well as the improvement of accounting rules will create opportunities for the end user to manage resource consumption taking into account the principles of a circular economy. The authors' study emphasizes that circular economy products and services should minimize resource use and promote reuse, recovery and recycling of materials in the future, leveraging existing product policy instruments, further support for the repair sector, improved design for reuse, and high-quality packaging recycling. The authors in the article propose to legislate the subsidizing of enterprises participating in the circular chain and subsidizing innovative developments in the field of the circular economy in the Russian Federation.

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