scholarly journals Quantitative Methods of Estimation of the Degree of Company's Transnationality

2019 ◽  
pp. 14-20
Author(s):  
O. Bulkot
Keyword(s):  
Quantitative Methods ◽  
Empirical Studies ◽  
Integrated Approach ◽  
Global Scale ◽  
Point Of View ◽  
Mathematical Methods ◽  
Dependent Variables ◽  
Quantitative Indicators

The article is devoted to the problem of estimating the level of companies’ trasnationality. The existing approaches to the measurement of trasnationality are generalized. A methodology is developed for measuring the depth of company’s transnationality in operational and geographic dimensions. It is proposed to define the trasnationality as a function of the extent to which a firm’s activities are located abroad and focuses on the intensity of foreign activities in relation to domestic or global activities. The quantitative indicators of the level of company’s transnationality are estimated. The results of the research prove that in order to measure the level of companies’ transnationality, it is necessary to use an integrated approach that allows estimating the depth, breadth, intensity, and level of their operations and activities on a global scale. In this dimension, it is important not only to assess the level of integration of TNC operations carried out in host and home markets but also to implement special mathematical methods that allow demonstrating the correlation between the main dependent variables of the TNCs’ performance. Empirical studies prove the ease and fairness of the proposed methodology for comparing differences in their structure and specifics TNCs. From this point of view, it is quite correct to carry out an analysis of selected parameters, both non-financial MNCs and financial ones, in which the results of the analysis obtained will be absolutely comparable and fair for their comparison among themselves.

scholarly journals Measuring the Organizational Performance in the Government Departments of Dubai Using the Knowledge Management Process

2020 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
Mohamed Rashid Saif ◽  
Nek Kamal Bin Yeop
Keyword(s):  
Knowledge Management ◽  
Organizational Performance ◽  
Empirical Studies ◽  
Linear Regression Analysis ◽  
Integrated Approach ◽  
Multiple Linear Regression Analysis ◽  
Point Of View ◽  
Government Sector ◽  
The Government ◽  
The One

In the latest years, the term knowledge management popped up frequently in government and private sector meetings. They expanded the horizon of the term and involved it in intensive discussions. This study, dive through the meaning of the term knowledge management and its effect on the performance of the government sector along with its impact and aspects on their performance , specifically in Dubai and from their managers point of view. The method of analytical descriptive is the one being conducted in this study to fulfill the research needs, thus make it easier to apply in the empirical studies through the framework drawn integrated approach. Following the lead of the Cronbach’s Alpha value, this study will use the questionnaire to gather the required data. In order to predict the OP, the multiple linear regression analysis was used basing on the factors KG, KSR and KST. As the result showed with 49.6% of the total variance in Model favored that the KG, KSR and KST were the main predictors of the OP.

scholarly journals THE USE OF MATHEMATICAL METHODS OF DIAGNOSTICS AS A FACTOR OF EFFECTIVE MANAGEMENT OF A MEDICAL ORGANIZATION

2020 ◽  
Vol 20 (4) ◽  
pp. 95-103
Author(s):  
O.V. Loginovskiy ◽  
◽  
D.V. Gilev ◽  
Keyword(s):  
Discriminant Analysis ◽  
Diagnostic System ◽  
Integrated Approach ◽  
Correction Method ◽  
Medical Problem ◽  
Point Of View ◽  
Primary Headaches ◽  
Mathematical Methods ◽  
Medical Organization ◽  
Linear Correction

This article introduces the main mathematical methods of diagnosis of diseases. At first, based on the study of the issue, it is concluded that the task of diagnostics is the most important task for the implementation of effective activities of any medical institution. Methods. Further, in the theoretical part, the main diagnostic models are formulated, such as discriminant analysis and taxonomy (cluster analysis). Then methods of discriminant analysis are applied for the diagnostic system, which allow reducing the medical problem to a system of linear inequalities, using the meth-od of decomposition of the function by basic functions. Results. At the end of the article, important conclusions are made that iterative methods for solving this problem are grouped mainly around the linear correction method, and final methods are grouped around the simplex method. The issue of using decision rule collectives in application packages is also discussed. Further, as a practical part, we consider the application of the described methods to a specific medical task, namely, the diagnosis of primary headaches by signs. To solve the problem, we construct the decisive rules that are the result of discriminant analysis. For these purposes, the Committee method is enabled, and other methods are used in comparison with it. The results show better predictive power for the Committee method. Conclusion. In the conclusion the author about kind of the specifics of mana¬gement of medical institutions, and highlighted the criterion of a correct and timely diagnosis – as one of the main, lets talk about the efficiency of management from the point of view of public health that is Central to an integrated approach of evaluating the effectiveness of medical organiza-tions.

scholarly journals The experience of applying mathematical methods for analysis of the microgeneration sector in Russia

2021 ◽  
pp. 153-160
Author(s):  
Gavriusev Vladimirovich ◽  
Maxim Vasilyevich-Chernyaev
Keyword(s):  
Gaussian Mixture Model ◽  
Feasibility Study ◽  
Economic Efficiency ◽  
Mathematical Description ◽  
Quantitative Methods ◽  
High Efficiency ◽  
Gaussian Mixture ◽  
Economic Feasibility ◽  
Point Of View ◽  
Mathematical Methods

The paper relates to substantiation of reasonability of applying the mathematical methods to economic researches. The developed by the author algorithm for determining the relevant for Russia foreign experience of the microgeneration sector development on the basis of the Gaussian mixture model is provided as an example. This algorithm used to be successfully applied within the framework of a larger scale research related to the problems of development and increasing of the economic efficiency of the microgeneration sector in Russia. The paper provides for the mathematical description and economic feasibility study of the measures taken. High efficiency of using the quantitative methods for obtaining the results, which are significant from the point of view of the economic feasibility study, is underlined. There are also described the problematic issues of the suggested algorithm and possible ways of solving thereof. Finally, the conclusion is made about a high heuristic value of the above-described algorithm and the reasonability of applying the mathematical methods to economic researches.

TRANSLATION OF SOCIAL AND POLITICAL TERMINOLOGY OF CHINESE LANGUAGE AS A PROCESS OF NORMATIVE PRACTICE IN CONTEXT MODELS

2020 ◽  
Vol 6 (3) ◽  
pp. 172-182
Author(s):  
Saodat Nosirova ◽  
Keyword(s):  
Comparative Analysis ◽  
Law Enforcement ◽  
Chinese Language ◽  
Integrated Approach ◽  
Point Of View ◽  
Modern Chinese ◽  
Normative Practice ◽  
Context Models

The article is devoted to a comparative analysis of the socio -political terminology of the modern Chinese language.The purpose of the article is to search for an integrated approach to the study of the cognitive side of social and political terms of the Chinese language from the point of view of law enforcement in the process of translating official materials from Chinese into Uzbek and / or Russian and vice versa

ECONOMICS, POLITICS, LAW: TRENDS AND PROSPECTS June 2019: сб.науч.тр./ OEAPS Inc.; редкол.: Флора Бертран (отв.ред.) [и др.]. - Берлин, Германия : OEAPS Inc., 06. 2019. - 71 С.

2019 ◽  
Author(s):  
Inc. OEAPS
Keyword(s):  
International Law ◽  
Empirical Studies ◽  
Business Law ◽  
Mathematical Methods ◽  
Business Economics ◽  
Section 8 ◽  
Municipal Law ◽  
Politics And Law ◽  
Monetary Circulation ◽  
Comparative Nature

The conference is a major international forum for analyzing and discussing trends and approaches in research in the field of economics, politics and law. We provide a platform for discussions on innovative, theoretical and empirical studies of problems in these disciplines. Given the international focus, materials of a comparative nature are especially welcomed.Doctors and candidates of science, scientists, specialists of various profiles and directions, applicants for academic degrees, teachers, graduate students, undergraduates and students are invited to participate in the conference.CONFERENCE SECTIONSSection 1 Finance, monetary circulation and credit Section 2 Accounting and taxation Section 3 Management and marketing Section 4 World economy Section 5 Business economics Section 6 Mathematical methods of economics Section 7 Relevant economic issues Section 8 Constitutional and municipal law Section 9 Civil and family law Section 10 Labor and business law section 11 Criminal law and criminology section 12 International law Section 13 entitled Administrative Section 14 law enforcement Section 15 Topical issues of jurisprudence Section 16 Topical issues in political science.Additional criteria considered in the consideration of the submitted document are its accuracy, organization / presentation (ie logical flow) and recording quality.

scholarly journals Determinants of Corporate Anti-Corruption Disclosure: The Case of the Emerging Economics

2021 ◽  
Vol 13 (6) ◽  
pp. 3462
Author(s):  
Maider Aldaz Odriozola ◽  
Igor Álvarez Etxeberria
Keyword(s):  
Empirical Studies ◽  
Geographical Area ◽  
Control Variable ◽  
Emerging Countries ◽  
Point Of View ◽  
Press Freedom ◽  
Negative Effects ◽  
Key Factor ◽  
Using Data ◽  
Positive Effect

Corruption is a key factor that affects countries’ development, with emerging countries being a geographical area in which it tends to generate greater negative effects. However, few empirical studies analyze corruption from the point of view of disclosure by companies in this relevant geographical area. Based on a regression analysis using data from the 96 large companies from 15 emerging countries included in the 2016 International Transparency Report, this paper seeks to understand what determinants affect such disclosure. In that context, this paper provides empirical evidence to understand the factors that influence reporting on anti-corruption mechanisms in an area of high economic importance that has been little studied to date, pointing to the positive effect of press freedom in a country where the company is located and with the industry being the unique control variable that strengthens this relationship.

scholarly journals The Metano Modeling Toolbox MMTB: An Intuitive, Web-Based Toolbox Introduced by Two Use Cases

Metabolites ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 113
Author(s):  
Julia Koblitz ◽  
Sabine Will ◽  
S. Riemer ◽  
Thomas Ulas ◽  
Meina Neumann-Schaal ◽  
...  
Keyword(s):  
Metabolic Networks ◽  
Point Of View ◽  
Use Cases ◽  
Mathematical Methods ◽  
State Behavior ◽  
Web Based ◽  
Research Fields ◽  
Balance Analysis ◽  
Metabolic Models ◽  
User Friendly

Genome-scale metabolic models are of high interest in a number of different research fields. Flux balance analysis (FBA) and other mathematical methods allow the prediction of the steady-state behavior of metabolic networks under different environmental conditions. However, many existing applications for flux optimizations do not provide a metabolite-centric view on fluxes. Metano is a standalone, open-source toolbox for the analysis and refinement of metabolic models. While flux distributions in metabolic networks are predominantly analyzed from a reaction-centric point of view, the Metano methods of split-ratio analysis and metabolite flux minimization also allow a metabolite-centric view on flux distributions. In addition, we present MMTB (Metano Modeling Toolbox), a web-based toolbox for metabolic modeling including a user-friendly interface to Metano methods. MMTB assists during bottom-up construction of metabolic models by integrating reaction and enzymatic annotation data from different databases. Furthermore, MMTB is especially designed for non-experienced users by providing an intuitive interface to the most commonly used modeling methods and offering novel visualizations. Additionally, MMTB allows users to upload their models, which can in turn be explored and analyzed by the community. We introduce MMTB by two use cases, involving a published model of Corynebacterium glutamicum and a newly created model of Phaeobacter inhibens.

Integration of AHP-QFD for selecting facility location

2015 ◽  
Vol 22 (3) ◽  
pp. 411-425 ◽  
Author(s):  
Rajesh Chadawada ◽  
Ahmad Sarfaraz ◽  
Kouroush Jenab ◽  
Hamid Pourmohammadi
Keyword(s):  
Facility Location ◽  
Solution Process ◽  
Pairwise Comparison ◽  
Integrated Approach ◽  
Point Of View ◽  
Location Problems ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Facility Location Problems ◽  
Managerial Experience

Purpose – The purpose of this paper is to describe and implements an analytic hierarchy process (AHP)-QFD model for selecting the best location from an organization point of view which picks the site with the best opportunity requirements. Integration of AHP-QFD process gives us a new approach to assist organizations through observing various factors and selecting the best location among different alternatives. This approach uses AHP method to match the preferences required by decision makers and these preferences are applied to the characteristics of QFD. The model fundamental requirement are perfect potential locales and the areas are contrasted and both quantitative and qualitative elements to permit directors to join managerial experience and judgment in the answer process. The AHP-QFD model is also applied on a case study to illustrate the solution process. Design/methodology/approach – The integration of AHP and QFD is used to analyze available options and select the best alternative. This can be done by ranking each criterion through a pairwise comparison. Given collected data, the QFD approach is used to find the capability of each criterion. Findings – Integration of AHP-QFD is used to select the best alternative in facility location. This integrated approach can be best used in dealing with facility location problems. Originality/value – The developed AHP-QFD model in facility location problems, facilitates the inclusion of market criteria and decision maker opinion into the traditional cost function, which has been mainly distance base in the literature.

Is lodging research suffering from methods bias? An assessment of published research during 1990-2016

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faizan Ali ◽  
Mehmet Ali Koseoglu ◽  
Fevzi Okumus ◽  
Eka Diraksa Putra ◽  
Mehmet Yildiz ◽  
...  
Keyword(s):  
Structural Equation ◽  
Quantitative Methods ◽  
Empirical Studies ◽  
Secondary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Data Collection And Analysis ◽  
Hospitality And Tourism ◽  
Method Bias ◽  
Published Research

Purpose The study aims to investigate if lodging research suffers from a method bias by comprehensively reviewing the research methodology used in lodging related research articles. Design/methodology/approach In all, 2,647 published papers in 16 leading hospitality and tourism published between 1990 and 2016 are analyzed using bibliometric technique. Findings In all, 69% of the empirical studies in lodging research across 26 years period used quantitative methods, with an increasing reliance on regression-based analysis and structural equation modeling, a disturbing plunging trend in methods diversity. Findings also suggest an increasing trend of using secondary data. Research limitations/implications Based on the findings of this study, theoretical and practical implications for hospitality and tourism researchers are provided. Originality/value This is the first study that reviewed a large corpus of published research (2,647 papers in 16 hospitality and tourism journals from the last 27 years) to highlight (a) methodology used, (b) methods employed and (c) data collection and analysis procedures.

scholarly journals Valuing the Future, Discounting in Random Environments: A Review

2021 ◽  
Author(s):  
Jaume Masoliver ◽  
Miquel Montero ◽  
Josep Perelló ◽  
J. Doyne Farmer ◽  
John Geanakoplos
Keyword(s):  
Empirical Studies ◽  
Market Price ◽  
Point Of View ◽  
Random Environments ◽  
Long Run ◽  
Price Of Risk ◽  
Future Discounting ◽  
Pricing Theory ◽  
Risk Neutral Measures ◽  
Far Future

We address the process of discounting in random environments which allows to value the far future in economic terms. We review several approaches to the problem regarding different well-established stochastic market dynamics in the continuous-time context and include the Feynman-Kac approach. We also review the relation between bond pricing theory and discount and introduce the market price of risk and the risk neutral measures from an intuitive point of view devoid of excessive formalism. We provide the discount for each economic model and discuss their key results. We finally present a summary of our previous empirical studies on several countries of the long-run discount problem.

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