scholarly journals Econometric Evaluation of Influential Factors to Increasing Labor Efficiency in Textile Enterprises

Webology ◽  
2021 ◽  
Vol 18 (SI02) ◽  
pp. 125-139
Author(s):  
Jamshid Sh. Tukhtabaev ◽  
Barno R. Tillaeva ◽  
Barno S. Razakova ◽  
Gulmira N. Ismagulova ◽  
Islom A. Achilov
Keyword(s):  
Regression Analysis ◽  
Labor Productivity ◽  
Influential Factors ◽  
Correlation And Regression Analysis ◽  
Labor Efficiency ◽  
Factors Influencing

This article analyzes the content of the concept of labor productivity in textile enterprises, the factors influencing its increase, using the methods of "correlation" and "regression" analysis, as well as the forecast indicators of labor productivity.

A Study about Factors Influencing the University Performance

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Rosman Md. Yusoff ◽  
Faisal Khan ◽  
Asad Mubeen ◽  
Kamran Azam
Keyword(s):  
Regression Analysis ◽  
Empirical Relationship ◽  
Decision Makers ◽  
High Tech ◽  
Data Correlation ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
University Performance ◽  
The University ◽  
The Relationship

The purpose of this study is to find out the empirical relationship and influence of Research Environment, Integration of the university with Industry, High-tech Employment and Professional & Managerial Development on the University Performance.A Questionnaire has been used to collect the data. Correlation and Regression analysis were used to determine the relationship and influence of identified dimensions over the University Performance.The findings of the study show that the identified dimensions significantly relate and influence the University Performance. This study would be helpful for the university administration while making policies to upgrade its performance. Less work has been done in Pakistan for the development of universities. This study distinctively identifies and represents the variables and their influence over the university performance. The findings increase the value of the study as it would help the decision makers at the universities to think ‘out of the box’.

scholarly journals Influential Factors of Tourists’ Satisfaction in Bangladesh: Evidence from Selected Tourism Destinations at Cumilla Region

2020 ◽  
pp. 75-86
Keyword(s):  
Regression Analysis ◽  
Pearson Correlation ◽  
Simple Random Sampling ◽  
Developed Countries ◽  
Influential Factors ◽  
Tourism Industry ◽  
Correlation And Regression Analysis ◽  
Survey Technique ◽  
Tourism Destinations ◽  
Developing And Developed Countries

Tourism is a developing industry around the world. Tourism industry is dynamic as it plays a momentous role in the economy of developing and developed countries. The aim of the study is to understand the influential factors of tourists’ satisfaction with selected tourism destinations at Cumilla region in Bangladesh. Data are collected from 300 visitors’ by survey technique through a designed questionnaire with 5-point Likert scales. Simple random sampling method is used. Data are analyzed using frequency analysis, descriptive statistics, Pearson correlation, and regression analysis. From the results of regression analysis, the study is found that product, promotion, people, and psychical evidence as to the vital factors, which significantly effect tourists’ satisfaction. Therefore, it is suggested that the study creates consciousness among prospective tourists, researchers, academicians, government authorities, tourism businesses, politicians, and all the stakeholders, and also the tourism industry can be benefited knowing the factors of tourists’ satisfaction. Hence, the papers can be helped tourists’ satisfaction advance along with tourism destinations products offer to prospect tourists.

ASSESSMENT OF RELATIONSHIP BETWEEN KEY INDICATORS OF SUSTAINABLE DEVELOPMENT OF OIL COMPANIES IN AN UNSTABLE ECONOMY

2021 ◽  
Vol 1 (4) ◽  
pp. 54-66
Author(s):  
Nina Fedorovna Kuzovleva ◽  
◽  
Lyudmila Mikhailovna Prokofieva ◽  
Diana Evgenyevna Simakova ◽  
◽  
...  
Keyword(s):  
Sustainable Development ◽  
Regression Analysis ◽  
Labor Productivity ◽  
Geological Exploration ◽  
Input Information ◽  
Oil Companies ◽  
Correlation And Regression Analysis ◽  
Key Indicators ◽  
Relationship Of ◽  
The Relationship

This paper is devoted to analysis of the relationship between the level of company's capitalization and individual indicators which characterize sustainable development – replenishment of petroleum commodities as a result of geological exploration, labor productivity and frequency of accidents. The authors have made an attempt to determine the closeness of the relationship of these indicators using correlation and regression analysis. Current materials of financial and nonfinancial reports on levels of indicators of PJSC LUKOIL for the period 2015–2019 were used as input information.

scholarly journals Determinants of Customer Satisfaction of Public Banks in Nepal

2019 ◽  
Vol 3 (11) ◽  
pp. 1-5
Keyword(s):  
Regression Analysis ◽  
Customer Satisfaction ◽  
Research Design ◽  
Demographic Variables ◽  
Education Level ◽  
Statistical Tools ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
Analytical Research ◽  
Public Banks

The study aims to analyze the factors influencing customer satisfaction in public bank of Nepal. The customers of public banks in Nepal are the population of this study. The 150 respondents have been as sample and analytical research design has been adopted in the study. The statistical tools such as mean, correlation and regression analysis have been used to analyze the data using SPSS – 20 version software. The research paper concluded that banks should focus more on increasing tangibles, responsiveness and assurance. The demographic variables age, gender, income level and education level do not have significant differences among the responses of participants.

scholarly journals Motivations for attracting customers and their intention to participate in tourism events in Ho Chi Minh City

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Trinh Thuy Anh ◽  
Tran Kiem Viet Thang
Keyword(s):  
Regression Analysis ◽  
Quantitative Method ◽  
Great Influence ◽  
Customer Engagement ◽  
Ho Chi Minh City ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
Intention To Participate ◽  
The Impact

The study examines the impact of factors influencing customers’ intention to attend a tourism event, by considering the motivation to attract customers to such an event. The authors collected 230 interview samples from different subjects, then conducted a quantitative method through factor, correlation, and regression analysis. The results show that the motivation to attract customers to tourism events has a great influence on their participating intention. In particular, factors affecting the motivation to take part in the event include influence group, communications, convenience, and content. The analysis results give several suggestions for event organizers to be able to gain more customer engagement.

scholarly journals MODELS OF COST BEHAVIOUR: DETERMINATION OF FUNCTION OF METALLURGICAL PRODUCTION COSTS

2018 ◽  
pp. 270-277
Author(s):  
Alona Khmeliuk ◽  
Vasyl Halahanov
Keyword(s):  
Regression Analysis ◽  
Metallurgical Industry ◽  
Production Costs ◽  
Cost Calculation ◽  
Metallurgical Production ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
Cost Behaviour ◽  
The Cost ◽  
Response Indicators

Introduction. Peculiarities of cost behaviour and specificity of their modelling in the production of metallurgical products are considered. It is established that the definition of the volume of costs and cost of metallurgical products is regulated by P (C) BO 16 "Costs" and has sectoral features that involve the application of various methods of accounting for costs and calculating the cost of production. The main external and internal factors influencing the behaviour of expenses are determined. Effective methods for study of the dynamics of expenses at the enterprises of the metallurgical industry are offered. It has been established the following factors: business functions, investigated object of cost calculation and choice of method of cost calculation influence the behaviour of expenses. The function of costs of production of metallurgical products with the help of means of economic and mathematical modelling of correlation and regression analysis is constructed. The use of such cost response indicators as factors of comparison of seasonal behaviour costs and business activity of metallurgical production output has been proved. The prospects of application of the obtained econometric model in the practical economic activity of the enterprise for making effective management decisions both in the short-term and long-term perspective are determined. Purpose. The article aims to highlight the peculiarities of formation of the accounting information about expenses at the enterprises of the metallurgical industry; to highlight the factors affecting the behaviour of costs; to investigate the behaviour of the expenses of the enterprise of metallurgical products and to develop the economic and mathematical model of total expenses; present the stages of a comprehensive study of cost behaviour. Method (methodology). Method of system analysis, methods of causal analysis, method of correlation and regression analysis, table and graphical methods, dynamic series method (chain change coefficients) have been used in this research. Results. Features of cost formation of metallurgical production have been highlighted. The factors influencing the behaviour of expenses taking into account the seasonal component have been presented. The cost function has been developed and complemented by its cost response indicators for the purpose of integrated assessment of cost behaviour and the adoption of effective managerial decisions.

scholarly journals Analysis of Factors Influencing The Decision to Choose The Department in The Natural Science Campus

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Muhammad Hasan Sidiq Kurniawan ◽  
Achmad Fauzan ◽  
Jaka Nugraha
Keyword(s):  
Regression Analysis ◽  
Natural Science ◽  
High Quality ◽  
Important Thing ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
First Choice ◽  
Result Show ◽  
Quality School ◽  
Product Promotion

Education is very important thing for everyone. Parents tend to choose high-quality school or campus, to ensure their children’s education. One thing which determined parents to choose the campus for their children is the prospect for work. Faculty of Natural Science UII have high-quality department. Some of them already had highest accreditation level and even Internationally accredited. But some peoples in Indonesian often asked about what become of their children after graduated from the faculty of natural science or what is job that suit for their chlidren. The department of that faculty often not become the first choice when choosing campus. Therefore, the research to study about factors which determine people to choose their college department is needed. In this paper, the study is focused on factors which influence people’s decision score to choose the department in the faculty of natural science. We are using correlation and regression analysis. The result show that factors which influence the people’s decision are different between one department with another. Those factor consist of: product, promotion, and the price/cost.

scholarly journals The Application of Statistical Methods to Identify Factors Determining Employment Effectiveness in District Labour Offices in Poland

2019 ◽  
Vol 4 (343) ◽  
pp. 235-255 ◽  
Author(s):  
Iwona Bąk ◽  
Katarzyna Wawrzyniak ◽  
Maciej Oesterreich
Keyword(s):  
Regression Analysis ◽  
Labour Market ◽  
Statistical Methods ◽  
Market Institutions ◽  
Employment Services ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
State Employment ◽  
Effectiveness Index ◽  
The Unemployed

In Poland, institutions that perform public tasks in the field of the labour market are state employment services, including District Labour Offices (PUPs). They try to restore the unemployed to the open labour market using active forms of their activation. The activities of PUPs in the field of customer activation are subject to annual evaluation. According to the “Act on Employment Promotion and on Labour Market Institutions”, four indicators were selected for the evaluation of the functioning of labour offices in 2015–2017. Among them, the employment effectiveness index is very important, as its level allows us to assess to what extent active forms of activation of the unemployed implemented by PUPs contribute to the return of the unemployed to employment. This assessment is so important that in Poland as well as in other countries research has been conducted on both active forms of activation of the unemployed and employment policies. The aim of the research whose results are presented in the article was to identify factors influencing the employment effectiveness index achieved by District Labour Offices (PUPs) operating in Poland in 2016. Selected statistical methods were used, including correlation and regression analysis as well as multidimensional correspondence analysis. It turned out that the methods applied did not make it possible to unambiguously identify factors which had significantly affected the employment effectiveness index calculated on the basis of all forms of activation. It may turn out that clearer relations could be identified if this indicator was considered separately for particular forms of activation.

scholarly journals BUDGET REGULATION OF THE ECONOMY OF THE CHECHEN REPUBLIC: DIAGNOSTICS BASED ON REGRESSION ANALYSIS

2021 ◽  
pp. 30-34
Author(s):  
М. Х. Газалапова ◽  
Л. А. Мусаев
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Budget Deficit ◽  
Financial Assistance ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
Separate Region ◽  
The Right ◽  
Significant Factors

Статистический анализ для оценки бюджетного регулирования используется все чаще. Этот анализ позволяет провести диагностику бюджетного регулирования, в том числе и в отдельно взятом регионе для выявления более значимых факторов влияния на такое регулирование. Диагностика бюджетного регулирования предоставит возможность выбора правильного направления реформирования как отдельного региона, так и органов местного самоуправления. Оказываемая финансовая помощь содержит в себе как выделение дотаций, так и субвенций, направляемых на покрытие расходов, в частности на здравоохранение, рассчитанных на одного жителя. В статье проведен корреляционно-регрессионный анализ для диагностики бюджетного регулирования экономики Чеченской Республики. Для его проведения использованы такие факторы, как: размер дефицита бюджета ЧР; численность населения ЧР; уровень бюджетной обеспеченности ЧР. Statistical analysis is being used more and more often to assess budget regulation. This analysis makes it possible to diagnose budget regulation, including in a particular region, in order to identify more significant factors influencing such regulation. Diagnostics of budget regulation will provide an opportunity to choose the right direction of reform, both for a separate region and for local self-government bodies.The financial assistance provided includes both the allocation of subsidies and subventions aimed at covering expenses, in particular for healthcare, designed for one resident.The article presents a correlation and regression analysis for the diagnosis of budget regulation of the economy of the Chechen Republic. For its implementation, such factors as: the size of the budget deficit of the Chechen Republic; the population of the Chechen Republic; the level of budget security of the Chechen Republic were used.

Influence of technology parameters of free-cutting steel continuous casting on the billet internal structure

2020 ◽  
Vol 76 (2) ◽  
pp. 139-142
Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova
Keyword(s):  
Regression Analysis ◽  
Continuous Casting ◽  
Internal Structure ◽  
Sulfur Content ◽  
Manganese Content ◽  
High Quality ◽  
Correlation And Regression Analysis ◽  
Cutting Steel ◽  
Continuously Cast

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.

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