scholarly journals Technologies of Managing the Operating Assets

2019 ◽  
Vol 8 (2) ◽  
pp. 4652-4661
Keyword(s):  
Discriminant Analysis ◽  
Statistical Methods ◽  
Economic Activities ◽  
Development Potential ◽  
Economic Agents ◽  
Analysis Techniques ◽  
Managerial Decisions ◽  
Urgent Task ◽  
Analytical Tools ◽  
Different Levels

This study is based on the use of discriminant analysis techniques in order to individualize the analytical tools to assess the efficiency of managing the operating assets of economic agents. It has been determined that for the enterprises belonging to the Group of Companies, different integral indicators with different levels of discrimination are created while using identical discriminant variables, according to which the opposite conclusions can be drawn about the population belonging to a particular class with the same values for each subject. The developed empirical compartment functions prove the thesis of the erroneousness of universalization and generalization of conclusions when applying statistical methods. In other words, the need to identify problems at enterprises, their development potential, and the specifics of made managerial decisions remains an urgent task of analyzing financial and economic activities.

scholarly journals Theoretical model of business process reengineering taking into account common service centers in the company structure

2020 ◽  
Vol 7 (4) ◽  
pp. 1-5
Author(s):  
M. Oborin ◽  
Mikhail Gorodilov ◽  
Timofei Mikriukov
Keyword(s):  
Theoretical Model ◽  
Business Process ◽  
Business Processes ◽  
Basic Research ◽  
Third Party ◽  
Economic Activities ◽  
Economic Agents ◽  
Managerial Decisions ◽  
And Performance ◽  
Analytical Services

The article is devoted to the study of the current state of business processes related to accounting and analytical services to companies, assessment of their impact on financial and economic activities and the appropriateness of delegating some functions to third-party enterprises or internal separate structures. The aim of the article is the formation of a theoretical model of the business process of a manufacturing company based on the accounting and analytical functions of service centers in order to identify their impact on improving the efficiency and performance of economic agents. The basic research methods were statistical methods, modeling of economic and production processes. The study was based on the results of the authors’ study of the indicators of the accounting (financial) statements of common service centers (CSC) in Russia, for these purposes a sample of organizations was formed according to the criteria corresponding to the CSC of large holdings. As a result, the authors revealed that the specifics of the CSC activities is that they perform secondary, servicing functions and are one of the company's cost centers. The effect of the СSC activities is to optimize the model of business processes and save technological, time and financial resources. The complexity of evaluating the centers’ activities lies in the indirect effect, which is carried out on the basis of the scientific substantiation of managerial decisions and rationalization of the powers of managerial personnel and decision-makers at each stage of the business model.

scholarly journals Analisis Akurasi Multivariate Discriminant Analysis (MDA) Altman dalam Memprediksi Kebangkrutan Perusahaan di Bursa Efek Indonesia

2019 ◽  
Author(s):  
Komang Agus Rudi Indra Laksmana
Keyword(s):  
Data Analysis ◽  
Discriminant Analysis ◽  
Analytical Tool ◽  
Multivariate Discriminant Analysis ◽  
Analysis Techniques ◽  
Financial Difficulties ◽  
Accuracy Level ◽  
Analytical Tools ◽  
Multivariate Discriminant ◽  
A Company

The Altman Multivariate Discriminant Analysis (MDA) model, which is often called the Altman MDA, is one of the analytical tools in predicting corporate bankruptcy through a combination of liquidity ratio, profitability, leverage and activity equations. Aside from being an analytical tool, Altman's MDA equation is also used to characterize or distinguish one group of companies from another group of companies. From the data analysis techniques obtained results there are differences in financial performance between delist and non-delist companies based on Altman MDA calculations and MDA Altman obtained the accuracy level in predicting financial difficulties and bankruptcy of a company to discriminate 2 groups of companies (delist and non-delist) accuracy reaches an average of 90%. So that it can be said that the Altman MDA equation examined in this study is feasible to use to predict the difficulties and bankruptcy of a company

scholarly journals The Influence of Heuristic judgments in Social Media on Corporate Reputation: A Study in Spanish Leader Companies

2020 ◽  
Vol 12 (4) ◽  
pp. 1640 ◽  
Author(s):  
Luis Manuel Cerdá Suárez ◽  
Jesús Perán López ◽  
Belén Cambronero Saiz
Keyword(s):  
Social Media ◽  
Corporate Reputation ◽  
Cognitive Biases ◽  
Managerial Performance ◽  
Economic Agents ◽  
Using Data ◽  
Business And Management ◽  
Positive Effect ◽  
Different Levels ◽  
High Uncertainty

From a corporate-side perspective, the communication of reputational actions and news of companies becomes critical for success. However, in communication, business, and management studies, heuristics can be understood as simple cognitive processes that allow assessments, predictions, and decisions to be made quickly and efficiently by consumers and economic agents. This aspect can sometimes lead to cognitive biases, especially when little information is available or in situations of high uncertainty. The aim of this research is to investigate the influence of heuristic judgments in social media on corporate reputation ratings obtained in Spanish leader companies. Using data collected in Spain, this paper analyzes the influence of heuristics concerning news items on corporate reputation, measured by the Monitor Empresarial de Reputación Corporativa (MERCO) Index. The main finding of this paper is that the total number of news items has a positive effect on corporate reputation, particularly in the categories of culture-values, results/image, expansion, and sponsorship/donations. Additionally, this work serves as a repository of knowledge applicable to similar situations considering the specificities of each particular case. The importance to intervene on certain variables at different levels of managerial performance is described and implications for companies are discussed in these pages.

scholarly journals Trade credit management in wholesale companies based on statistical methods

2018 ◽  
Vol 15 (5) ◽  
pp. 27-39
Author(s):  
E. V. Ermakova
Keyword(s):  
Discriminant Analysis ◽  
Statistical Methods ◽  
Logistic Model ◽  
Trade Credit ◽  
Delay Period ◽  
Credit Management ◽  
Financial Characteristics ◽  
Reasonable Choice ◽  
Different Characteristics ◽  
Binomial Logistic Model

Study purpose. The paper shows the application of statistical methods for the trade credit management in the wholesale Russian companies. In this industry, the companies deal with a huge amount of customers, while trade credit is a common practice. As a result, fast and reasonable choice of trade credit terms becomes especially important for wholesale companies. The main study purpose is to provide the methods to choose the trade credit terms.Materials and methods. In this paper, the methods for trade credit management are based of the empirical research where binomial logistic model and discriminant analysis were used. The binomial logistic model was used to assess the customers’ reliability, his inclination to violate the terms specified in the contract. The delay period must be chosen when trade credit is provided. In the paper, the discriminant analysis was applied to make the decision. The discriminant functions allow choosing such a period of delay that will be broken with the least probability by the customer with certain financial and non-financial characteristics. The data used refer to 11 Russian companies from the wholesale industry and include 720 observations for 2016-2017.Results. As a result, the possibility of due repayment may be evaluated and the payment delay may be selected according to individual customers’ characteristics. Eight factors that characterize the liquidity of the purchaser, its profitability, turnover, and non-financial factors became significant to assess the reliability. In conclusion, the paper contains the practical example for four hypothetical purchasers with different characteristics. The higher the reliability of the customer, the more attractive conditions can be offered for him, depending on the propensity to risk of the wholesale company, as well as its financial opportunities.Conclusion. This article contains the model to evaluate the possibility of due repayment and algorithm to select the payment delay, which are based on the binomial logistic model and classification functions. Although there are a large number of methods to select the terms of trade credit, the majority of them have serious limitations. The most of methods are based only on the professional experience, while statistical analysis, in presence, is based on data of one company because of the confidentiality of necessary information. In contrast, this article is based on the empirical data and includes the delay period selection, which is slightly enlightened in the literature.

scholarly journals Features of Modeling the Probability of Bankruptcy Using Discriminant Models with Application in Economic Forensics

2021 ◽  
Vol 2 (517) ◽  
pp. 88-93
Author(s):  
I. V. Hubanova ◽  
Keyword(s):  
Financial Economic ◽  
Point Of View ◽  
Foreign Firms ◽  
Economic Activities ◽  
Crisis Situation ◽  
Managerial Decisions ◽  
Discriminant Models ◽  
Probability Of Bankruptcy ◽  
Negative Factors ◽  
Adequate Management

The article is aimed at studying the methodologies of forecasting bankruptcy, their application in forensic economic expertise, which will allow to make managerial decisions substantiated from the point of view of financial security of an enterprise and create opportunities for stable functioning and development of the enterprise. All enterprises are affected by negative factors and may find themselves in a crisis situation. That is why the management of enterprise should apply all existing measures to prevent bankruptcy and overcome crisis situations. Any crisis situation can be corrected if you respond to crises in time and form a balanced and adequate management system. Therefore, the use of bankruptcy forecasting methodologies will allow the management of enterprise to identify in advance negative trends in its development. The article analyzed the existing discriminant models for determining the probability of bankruptcy with their application in forensic economic expertise. In modern practice of the financial-economic activities of foreign firms, to assess the probability of bankruptcy, the discriminant models of Altman, Beaver, Taffler, Tishaw and some others received the widest application. It is defined that for a more justified forecast, it is advisable to use several methods at the same time to predict the probability of insolvency (bankruptcy) of enterprise. It is proposed to use a set of models to determine the probability of bankruptcy of enterprise in solving issues of economic forensic expertise, which will significantly increase the degree of probability of the results obtained. The proposed measures can be used not only to diagnose the likelihood of bankruptcy, but also to develop anti-crisis measures.

scholarly journals Research of the activities of the enterprises of the perfume and cosmetic industry of Ukraine

2021 ◽  
pp. 44-55
Author(s):  
Iryna Kazakova ◽  
Viacheslav Lebedynets ◽  
Svitlana Kovalenko ◽  
Viktoriya Kazakova
Keyword(s):  
Economic Activity ◽  
Cosmetic Products ◽  
Economic Activities ◽  
Research Production ◽  
Urgent Task ◽  
Cosmetic Industry ◽  
Business Entities ◽  
Individual Success ◽  
Further Development

The perfumery and cosmetic industry of Ukraine is distinguished by its dynamic development and makes a significant contribution to the country's economy. Several types of economic activities are involved in its functioning, including the development, research, production and sale of perfumery and cosmetic products, as well as the provision of cosmetic services to the population. The economic activity of each sector in the chain of creation, production and sale of cosmetic products / services determines both their individual success and the efficiency of the entire system as a whole. In this regard, the systematization and analysis of the indicators of economic activity of enterprises of each type of activity of the national cosmetic industry is an urgent task, the solution of which will reasonably determine the prospects for both the further development of this industry and the export potential of the Ukrainian economy as a whole. The aim of this work was to conduct a comprehensive study of the dynamics of the main indicators of Ukrainian enterprises of perfumery, cosmetic and related industries economic activity for the period 2010–2019 and determination of their development trends. The available data of the State Statistics Service of Ukraine, the Patent Office of Ukraine, as well as a database of scientific and professional publications publications were used as materials and methods. Retrospective, logical, research methods, as well as the method of content analysis were used. The results of a comparative analysis of the main indicators of the economic activity of business entities in the studied industry made it possible to establish trends in the development of this sector of the economy and substantiate the patterns observed at the present stage. Conclusions. The results of the study indicate that the production potential of the perfumery and cosmetic industry in Ukraine is promising, as well as significant opportunities for further development of the trade in these products and the provision of cosmetic services to the population.

NATIONAL INNOVATION ECOSYSTEM: KEY ACTORS AND LINKAGES

2021 ◽  
Vol 4 (5) ◽  
pp. 58-65
Author(s):  
M. A. RYBACHUK ◽  
◽  
Keyword(s):  
Triple Helix ◽  
Structural Model ◽  
Innovation System ◽  
Quadruple Helix ◽  
Public Infrastructure ◽  
Innovation Ecosystem ◽  
Economic Agents ◽  
Triple Helix Model ◽  
Government Education ◽  
Different Levels

The article analyzes the possibilities for the development and transformation of the NIS of Russia into an ecosystem. A review of the features of innovation ecosystems has been carried out. Based on the quadruple helix that is the variant of adaptation of the triple helix model to Russian conditions and system economic theory, a structural model of an integrated national innovation system has been developed. The model is based on a quadrangular pyramid, the faces of which reflect the NIS macro-subsystems: science, government, education, and business. The pyramid is divided into three levels of the hierarchy (micro-, meso-, and macro), including the corresponding economic agents. The analysis of links uniting agents belonging to different levels and macro-subsystems of the NIS is carried out. It has been established that interaction between all agents should be based on ecosystem principles, such as mutual responsibility, information openness, equal access to public infrastructure, and others.

scholarly journals Biosensor Designs for Platelet-derived Microparticles Analysis

2017 ◽  
Vol 53 (04) ◽  
pp. 234-237
Author(s):  
Jyotsna Kailashiya
Keyword(s):  
Myocardial Infarction ◽  
Platelet Activation ◽  
Cost Effective ◽  
Analysis Techniques ◽  
Conventional Analysis ◽  
Analytical Tools ◽  
Effective Analysis ◽  
Potential Biomarkers

ABSTRACTPlatelet-derived microparticles (PMPs) are often used as marker of platelet activation and their count in blood has been found to be significantly associated with many diseases like myocardial infarction, stroke, venous thrombo-embolism etc. PMPs have been proposed as potential biomarkers for these conditions. Biosensors are newer analytical tools, being developed for convenient and cost effective analysis. For PMPs analysis, biosensors offer many advantages over conventional analysis techniques. This mini review compiles designs and techniques of reported biosensors based on antibody capturing for analysis of PMPs.

Components of Error in Field Experiments with Cotton, Groundnuts, Kenaf and Sesame in the Central Sudan Rainlands. I. Field and Statistical Methods; Increasing Precision by Replication and its Cost

1976 ◽  
Vol 12 (3) ◽  
pp. 209-224 ◽  
Author(s):  
H.R.B. Hack
Keyword(s):  
Statistical Methods ◽  
Field Experiments ◽  
Sources Of Error ◽  
Central Sudan ◽  
Standard Procedures ◽  
Different Levels

The layout of experiments for the study of the growth of four crops in the central rainlands of the Sudan in 1965 is described. The treatments, different levels of flooding prior to sowing, were replicated within blocks. Standard procedures for estimating within plot, between replicate plotswithin block and treatment x block components of error are set out and an example is given of the analysis employing data on kenaf. Using typical values for components of error found in these experiments, increases in precision obtainable by varying the number of plants sampled per plot, and the number of replicate plots per treatment, are considered in relation to their costs. It is concluded that excessive replication would be required to establish differences of interest and that attention should be given to sources of error variation when such large errors are found.

scholarly journals Using Linear Discriminant Analysis to Classify Snowfall Situations into Avalanching and Non-Avalanching Ones

1977 ◽  
Vol 19 (81) ◽  
pp. 679-680
Author(s):  
N.F. Drozdovskaya
Keyword(s):  
Discriminant Analysis ◽  
Statistical Methods ◽  
Training Sample ◽  
Dispersion Analysis ◽  
Snow Accumulation ◽  
Discriminant Functions ◽  
Prognostic Information ◽  
Individual Parameter ◽  
Linear Discriminant ◽  
Avalanche Forecasting

Abstract The existing methods of predicting avalanche danger often do not meet users’ demands because of the empiric character of the insufficient volume of information used. In such forecasts the contribution of each individual parameter into the prognostic information is unknown, and this is very important when studying such an event as avalanche formation, which is conditioned by a complex interaction of numerous factors, including snow accumulation, the state of snow thickness, and the conditions of its development. It is obvious that such problems can be successfully solved by statistical methods, and that explains the growing interest in numerical methods of avalanche forecasting. Problems of multi-dimensional observations arises in many scientific fields. The method suited for this problem is discriminant analysis, the purpose of which is to divide a multi-dimensional observation vector into predetermined classes. This study considers the prognostic (diagnostic) problems of fresh-snow avalanches released during snowfall or in the two days after it has ceased. The theoretical basis is a complex of statistical methods: correlation and dispersion analysis, “sifting" for the choice of predictors’ informative groups, construction of linear parametric discriminant functions, predictions based on training sample, and verification of discriminant functions based on independent material. The archive used in the study consisted of 500 avalanching cases and 1 300 non-avalanching ones. All situations were grouped according to geomorphological characteristics. Each situation is described by eight meteorological characteristics. The results of classification of snowfall situations into avalanching and non-avalanching ones are as follows: reliability of ρ is from 75% to 91%, H from 0.15 to 0.51; based on independent material the reliability of ρ is from 63% to 85%, H from 0.10 to 0.56. This paper has been accepted in revised form for publication in a later issue of the Journal of Glaciology.

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