scholarly journals Liquidity management by effective debt collection: a statistical analysis in a small industrial enterprise

Ekonomika ◽  
2015 ◽  
Vol 94 (1) ◽  
pp. 143-156
Author(s):  
Ewelina Sokołowska ◽  
Jerzy Wiśniewski
Keyword(s):  
Statistical Analysis ◽  
Small Business ◽  
Performance Metrics ◽  
Liquidity Management ◽  
Excess Liquidity ◽  
Provision Of Services ◽  
External Sources ◽  
Debt Collection ◽  
Debt Recovery ◽  
The Impact

The financial viability of small companies depends on their ability to meet sales demands and collect receivables from the sales of goods and provision of services. The efficiency of debt recovery plays the fundamental role in determining the liquidity of a small business. Shortages of cash in the company are rarely subsidised not from external sources but most often from the owner’s own funds that such shortages are made up, including the amounts previously accumulated as a result of the so-called excess liquidity. The main purpose of the article is the hypothesis that application of statistical analysis in liquidity management can be a useful tool in effective debt collection in an enterprise.We looked at the monthly or short-term liquidity of a small business and its impact on the defined performance metrics of debt collection. The analytical tool is a dynamic econometric model that describes the impact of the efficiency of recovery for liquidity in small business.

Assessment of small businesses activities in Ukraine

2019 ◽  
pp. 40-47
Author(s):  
Igor Ponomarenko ◽  
Kateryna Volovnenko
Keyword(s):  
Comparative Analysis ◽  
Statistical Analysis ◽  
Small Business ◽  
Small Businesses ◽  
Government Agencies ◽  
Small Enterprises ◽  
The Subject ◽  
Business Entities ◽  
The Impact ◽  
Micro Enterprises

The subject of the research is a set of approaches to the statistical analysis ofthe activities of small business entities in Ukraine, including micro-enterprises. The purpose of writing this article is to study of the features of functioningof small business entities in Ukraine. Methodology. The research methodology isto use a system-structural and comparative analysis (to study the change in thenumber of small enterprises by major components); monographic (when studyingmethods of statistical analysis of small businesses); economic analysis (when assessing the impact of small business entities on socio-economic phenomena andprocesses in Ukraine). The scientific novelty consists to determine the features ofthe functioning of small businesses in Ukraine in modern conditions. The influenceof the activities of the main socio-economic and political indicators on the activities of small enterprises in recent periods of time has been identified. It has beenestablished that there is flexibility in the development of strategies by small businesses in conditions of significant competition, which makes it possible to quicklyrespond to changing situations in specific markets. Conclusions. The use of acomprehensive statistical analysis of small businesses functioning in Ukraine willallow government agencies to develop a set of measures to optimize the activitiesof these enterprises, which ultimately will positively affect the strengthening oftheir competitiveness and will contribute to the growth of the national economicsystem.

scholarly journals Factorial Design Analysis for Localization Algorithms

2018 ◽  
Vol 8 (12) ◽  
pp. 2654
Author(s):  
Joaquin Mass-Sanchez ◽  
Erica Ruiz-Ibarra ◽  
Ana Gonzalez-Sanchez ◽  
Adolfo Espinoza-Ruiz ◽  
Joaquin Cortez-Gonzalez
Keyword(s):  
Statistical Analysis ◽  
Noise Level ◽  
Performance Metrics ◽  
Extreme Values ◽  
Path Loss ◽  
Propagation Model ◽  
Path Loss Exponent ◽  
Localization Algorithms ◽  
Accuracy And Precision ◽  
The Impact

Localization is a fundamental problem in Wireless Sensor Networks, as it provides useful information regarding the detection of an event. There are different localization algorithms applied in single-hop or multi-hop networks; in both cases their performance depends on several factors involved in the evaluation scenario such as node density, the number of reference nodes and the log-normal shadowing propagation model, determined by the path-loss exponent (η) and the noise level (σdB) which impact on the accuracy and precision performance metrics of localization techniques. In this paper, we present a statistical analysis based on the 2k factorial methodology to determine the key factors affecting the performance metrics of localization techniques in a single-hop network to concentrate on such parameters, thus reducing the amount of simulation time required. For this proposal, MATLAB simulations are carried out in different scenarios, i.e., extreme values are used for each of the factors of interest and the impact of the interaction among them in the performance metrics is observed. The simulation results show that the path-loss exponent (η) and noise level (σdB) factors have the greatest impact on the accuracy and precision metrics evaluated in this study. Based on this statistical analysis, we recommend estimating the propagation model as close to reality as possible to consider it in the design of new localization techniques and thus improve their accuracy and precision metrics.

scholarly journals Features of Assessing Bank Liquidity on the Basis of Mandatory Standards

2018 ◽  
Vol 9 (3) ◽  
Author(s):  
Oksana Zhilan
Keyword(s):  
Banking System ◽  
Effective Management ◽  
Credit Institution ◽  
Resource Base ◽  
Liquidity Management ◽  
Excess Liquidity ◽  
High Level ◽  
The Impact ◽  
Coefficient Method ◽  
Credit Institutions

Effective liquidity management is one of the key tasks of any credit institution. It is worth noting that in this area the Russian banking system has a great deal of specificity. The peculiarity is that about 70 % of the total number of credit organizations are small and medium-sized commercial banks. High dependence on external factors, high level of the resource base volatility makes this group of credit institutions a sector of high risk. In large credit institutions, liquidity management is often associated with the need of solving the problem of excess liquidity. Thus, any credit institution, depending on the specific conditions and the activity features, solves every day the task of effective management of the unbalanced liquidity risk. It is proposed to consider the features of assessing the liquidity of banks using the coefficient method (based on mandatory liquidity ratios) and assess the impact of adjustments used in calculating liquidity adjustment ratios.

Effects of Quarantine Due to the COVID-19 on Sleep Duration and Quality in Algerians

2020 ◽  
Vol 60 (2) ◽  
pp. 182-193
Author(s):  
Kacem Abdelhadi ◽  
Houar Abdelatif ◽  
Zerf Mohamed ◽  
Bengoua Ali
Keyword(s):  
Statistical Analysis ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Online Survey ◽  
Public Awareness ◽  
Italian Version ◽  
Sleep Timing ◽  
Algerian Population ◽  
Significant Change ◽  
The Impact

SummaryThis study tests the impact of COVID-19 on sleep of Algerian population before and during the COVID-19 quarantine by an estimated online survey, adapted from the PSQI Italian version. Including 1210 participants (age between 18-60 years old). The statistical analysis was carried out using SPSS version 22.0 software. Our results showed a significant change in sleeping quality during quarantine, the sleep timing markedly changed, we also noticed additional use of sleeping medications. Algerian scientists recommend to build public awareness and to provide necessary information regarding Algerian sleep quality, especially for Algerian adults.

The Effect of Public Office Values on Government Trust: Focusing on the Effects of Regulating the Level of Citizenship

2019 ◽  
Vol 118 (2) ◽  
pp. 35-42
Author(s):  
Nam-Sik Yun ◽  
Seok-Kee Lee
Keyword(s):  
Statistical Analysis ◽  
Public Administration ◽  
Public Service ◽  
Public Office ◽  
Institute Of Public Administration ◽  
Service Value ◽  
Korean Government ◽  
Government Sector ◽  
The Impact

Background/Objectives: The study discussed the impact of citizens' perceptions of public office values of integrity, accountability, and fairness, based on the view that government trust is centered on the citizens' perception of the value of public office.  Methods/Statistical analysis: The data was based on a 2017 survey conducted by the Korea Institute of Public Administration on the perception of corruption in the Korean government sector. The study included 1,000 people and was conducted through a survey public service value, citizenship level and government trust. The data were analyzed using the SPSS 22 and AMOS 22.0 program.

The Effect of Public Office Values on Government Trust: Focusing on the Effects of Regulating the Level of Citizenship

2019 ◽  
Vol 118 (8) ◽  
pp. 366-374
Author(s):  
Nam-Sik Yun ◽  
Seok-Kee Lee
Keyword(s):  
Statistical Analysis ◽  
Public Administration ◽  
Public Service ◽  
Public Office ◽  
Institute Of Public Administration ◽  
Service Value ◽  
Korean Government ◽  
Government Sector ◽  
The Impact

The study discussed the impact of citizens' perceptions of public office values of integrity, accountability, and fairness, based on the view that government trust is centered on the citizens' perception of the value of public office. Methods/Statistical analysis: The data was based on a 2017 survey conducted by the Korea Institute of Public Administration on the perception of corruption in the Korean government sector. The study included 1,000 people and was conducted through a survey public service value, citizenship level and government trust. The data were analyzed using the SPSS 22 and AMOS 22.0 program.

scholarly journals Effects of Regional Bank Merger on Small Business Borrowing: Evidence from Japan

2015 ◽  
Vol 7 (11) ◽  
pp. 62
Author(s):  
Hironobu Miyazaki ◽  
Hiroyuki Aman
Keyword(s):  
Small Business ◽  
Small Businesses ◽  
Economies Of Scale ◽  
Loan Portfolio ◽  
Small Business Lending ◽  
Borrowing Costs ◽  
Bank Merger ◽  
Regional Bank ◽  
Small Business Loans ◽  
The Impact

This study examines the impact of a regional bank merger in Japan on borrowing by small businesses, focusing on firms that borrow from the acquiring bank, the acquired bank, or both. First, we find that post-merger borrowing costs declined. This result suggests that small borrowers enjoy more favorable post-merger financing conditions because efficiencies from economies of scale lead to lower costs. Second, we<strong> </strong>find that post-merger borrowing costs decline for firms that borrow only from the acquiring or acquired bank, whereas they did not decline for firms that borrow from both. Third, we find that only small business loans to firms that borrow from both the acquiring and acquired banks decrease post-merger. This result suggests that small business lending might decline because of a merged bank’s loan portfolio and lending strategy.

scholarly journals Image Statistics Preserving Encrypt-then-Compress Scheme Dedicated for JPEG Compression Standard

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 421
Author(s):  
Dariusz Puchala ◽  
Kamil Stokfiszewski ◽  
Mykhaylo Yatsymirskyy
Keyword(s):  
Statistical Analysis ◽  
Image Encryption ◽  
Experimental Studies ◽  
Quality Measures ◽  
Input Image ◽  
Jpeg Compression ◽  
Image Statistics ◽  
Compression Stage ◽  
Wide Range ◽  
The Impact

In this paper, the authors analyze in more details an image encryption scheme, proposed by the authors in their earlier work, which preserves input image statistics and can be used in connection with the JPEG compression standard. The image encryption process takes advantage of fast linear transforms parametrized with private keys and is carried out prior to the compression stage in a way that does not alter those statistical characteristics of the input image that are crucial from the point of view of the subsequent compression. This feature makes the encryption process transparent to the compression stage and enables the JPEG algorithm to maintain its full compression capabilities even though it operates on the encrypted image data. The main advantage of the considered approach is the fact that the JPEG algorithm can be used without any modifications as a part of the encrypt-then-compress image processing framework. The paper includes a detailed mathematical model of the examined scheme allowing for theoretical analysis of the impact of the image encryption step on the effectiveness of the compression process. The combinatorial and statistical analysis of the encryption process is also included and it allows to evaluate its cryptographic strength. In addition, the paper considers several practical use-case scenarios with different characteristics of the compression and encryption stages. The final part of the paper contains the additional results of the experimental studies regarding general effectiveness of the presented scheme. The results show that for a wide range of compression ratios the considered scheme performs comparably to the JPEG algorithm alone, that is, without the encryption stage, in terms of the quality measures of reconstructed images. Moreover, the results of statistical analysis as well as those obtained with generally approved quality measures of image cryptographic systems, prove high strength and efficiency of the scheme’s encryption stage.

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