scholarly journals METHOD OF MODELING AND FACTOR ANALYSIS OF LABOR PRODUCTIVITY

2021 ◽  
Vol 2 (162) ◽  
pp. 64-70
Author(s):  
V. Kostiuk ◽  
I. Milkin
Keyword(s):  
Factor Analysis ◽  
Labor Productivity ◽  
Production Efficiency ◽  
Production Equipment ◽  
Average Output ◽  
Technological Advances ◽  
Technical Potential ◽  
Fixed Assets ◽  
And Performance ◽  
The Impact

The article deals with the method of modeling and factor analysis of labor productivity. It has been emphasized that labor productivity is one of the most important indicators characterizing the operation and performance of any enterprise. In the system of generalizing indicators of production efficiency, this indicator occupies a special position since it characterizes the achieved level of development of the material and technical foundation of production, efficient use of production potential, and technological advances. It has been emphasized that the change of this indicator depends on various factors characterizing the efficiency of labor and technical potential of an enterprise. Thus, the factor analysis of this indicator is crucial, i.e. studying the influence of structural and production factors on its change. The efficiency of the use of fixed assets, in particular production equipment, has a decisive influence on the change of labor productivity. The most efficient use of machinery and equipment contributes to a significant increase in performance. The article emphasizes that a crucial means of analytical research is the modeling of this indicator. In the course of modeling factor systems of labor productivity, it is necessary to consider the key factors characterizing the structure and efficiency of labor and technical potential of an enterprise, which directly influence the change of the labor productivity of an employee. This is, first of all, the enterprise personnel structure (the number of workers out of the total number of employees), the average output of one worker, labor capital, capital efficiency of fixed assets, their active part, utilization rates of production equipment, and the productivity of existing equipment. To understand the impact of the above factors on the change of productivity of one employee, a step-by-step factor analysis, using the method of chain substitution, has been suggested. The given method of modeling and factor analysis of labor productivity makes it possible to determine the influence of crucial factors on the change of this indicator, study the patterns of such influence, identify internal growth reserves, and ground appropriate managerial decisions on further use of labor and material resources of an enterprise.

ORGANIZATION AND METHODS OF ACCOUNTING OF FIXED ASSETS OF ENTERPRISE AND ANALYSIS OF THE EFFICIENCY OF THEIR USE

2019 ◽  
Author(s):  
Drobyazko ◽  
Konoplya
Keyword(s):  
Factor Analysis ◽  
Return On Investment ◽  
Production Efficiency ◽  
Composition Analysis ◽  
Return On Assets ◽  
Financial Return ◽  
Important Indicator ◽  
Accounting Data ◽  
Fixed Assets ◽  
The Impact

The purpose of the study is to conduct a comparative description of the methods and stages of analyzing the effectiveness of the use of fixed assets in the enterprise management system. Materials and methods. The study used research methods such as monographs and synthesis (when analyzing existing publications), analysis, induction and deduction, comparisons and key components. Research results. Improving the efficiency of the use of fixed assets of enterprises is one of the main issues in today's relations. The financial state of the enterprise and the competitiveness of its products on the market depend on the solution of this problem. Provision of certain rates of development and increase of production efficiency is possible under the condition of intensification of reproduction and better use of existing fixed assets of enterprises. These processes, on the one hand, contribute to the constant maintenance of the proper technical level of each enterprise, and on the other - allow toincrease the volume of production without additional investment resources, to reduce the cost of products by reducing the specific depreciation and costs of maintenance of production and its management, to increase the financial return and profitability. The article is devoted to the comparison of the methods of carrying out the analysis of the efficiency of the use of fixed assets, the different approaches to the calculation of the performance indicators are considered. In addition, it is noted that factor analysis of the return on assets, as a general indicator of the effectiveness of the use of fixed assets, is an important step in any research of fixed assets. It is conducted in two directions: the study of the influence of factors on the change in return on assets, the study of the impact of return on production. The results of the study, namely the increase or decrease in the rate of return on investment and due to what factors, is an important indicator of the directions of improvement of groups of fixed assets and saving of invested funds. The level of return on investment is influenced by various factors related to both the change in output and the efficiency of the use of fixed assets, including their active part. It is important to select factors that are (a) directly related to the level of return on investment and that characterize it both in terms of extensive loading (time loading) of labor tools and their intensity, as well as in terms of their value in the market; b) the set of factors should contain parameters that are quantifiable and can be derived from (or determined from) accounting data. Conclusions. According to the results of the research, it was determined that the most optimal model of the method of carrying out the analysis of fixed assets consists of the following stages: a) analysis of the security of fixed assets (analysis of dynamics, structure and composition, analysis of technical condition and updating of fixed assets); в) the analysis of the efficiency of the use of fixed assets (factor analysis of the return on assets, the analysis of the efficiency of the use of production space and extensive and intensive use of production equipment)

scholarly journals The Contribution of Workers’ Attributes on Sustainability of Construction Project Realization Goals—Survey on the Impact on Productivity in Croatia

2020 ◽  
Vol 12 (23) ◽  
pp. 9946
Author(s):  
Držislav Vidaković ◽  
Marijana Hadzima-Nyarko ◽  
Saša Marenjak
Keyword(s):  
Labor Productivity ◽  
Cognitive Skills ◽  
Construction Projects ◽  
Eastern Region ◽  
Structured Interviews ◽  
Physical Strength ◽  
Previous Decade ◽  
Worker Characteristics ◽  
And Performance ◽  
The Impact

The work of workers is still dominant in the realization of most construction projects and therefore has a great impact on the productivity of contractors and, thereby, on the sustainability of realization of the goals of contractors and clients. This article provides an overview of the results of more than 100 studies from the previous decade on the impacts of factors related to the personal attributes of workers on the productivity and performance of construction projects. Based on the reviewed literature and semi-structured interviews with experienced professionals in the construction industry, the relation between worker characteristics and other influences on labor productivity is defined and a list of worker characteristics suitable for research in Croatia is compiled. A survey of 262 workers, engineers, and managers from construction industries of Croatia’s eastern region, Slavonia and Baranja, showed that the worker characteristics that most influence labor productivity are experience and dexterity. It was also noticed, with a high correlation between the different groups of respondents, that physical strength and morale and morality of the workers were rated as highly influential, while education level was rated as the least influential. The research results are useful because they indicate the possibility of significantly improving the productivity of construction contractors by selecting workers with appropriate physical abilities and cognitive and non-cognitive skills, as well as developing a suitable system for training and motivation of employees.

scholarly journals Ethical dilemmas and validity issues related to the use of new cooling technologies and early recognition of exertional heat illness in sport

2021 ◽  
Vol 7 (2) ◽  
pp. e001041
Author(s):  
Borja Muniz-Pardos ◽  
Konstantinos Angeloudis ◽  
Fergus M Guppy ◽  
Kumpei Tanisawa ◽  
Yuri Hosokawa ◽  
...  
Keyword(s):  
Real Time ◽  
Early Recognition ◽  
Ethical Dilemmas ◽  
Heat Stroke ◽  
Practical Applications ◽  
Cooling Strategies ◽  
Technological Advances ◽  
And Performance ◽  
Medical Teams ◽  
The Impact

The Tokyo 2020 Olympic Games is expected to be among the hottest Games in modern history, increasing the chances for exertional heat stroke (EHS) incidence, especially in non-acclimatised athletes/workers/spectators. The urgent need to recognise EHS symptoms to protect all attendees’ health has considerably accelerated research examining the most effective cooling strategies and the development of wearable cooling technology and real-time temperature monitoring. While these technological advances will aid the early identification of EHS cases, there are several potential ethical considerations for governing bodies and sports organisers. For example, the impact of recently developed cooling wearables on health and performance is unknown. Concerning improving athletic performance in a hot environment, there is uncertainty about this technology’s availability to all athletes. Furthermore, the real potential to obtain real-time core temperature data will oblige medical teams to make crucial decisions around their athletes continuing their competitions or withdraw. Therefore, the aim of this review is (1) to summarise the practical applications of the most novel cooling strategies/technologies for both safety (of athletes, spectators and workers) and performance purposes, and (2) to inform of the opportunities offered by recent technological developments for the early recognition and diagnosis of EHS. These opportunities are presented alongside several ethical dilemmas that require sports governing bodies to react by regulating the validity of recent technologies and their availability to all.

Development and Validation of Lost Days of Labor Productivity Scale to Evaluate the Business Cost of Intimate Partner Violence

2020 ◽  
pp. 088626052094453
Author(s):  
Nata Duvvury ◽  
Arístides Vara-Horna ◽  
Mrinal Chadha
Keyword(s):  
Intimate Partner Violence ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Labor Productivity ◽  
Partner Violence ◽  
Intimate Partner ◽  
Self Report ◽  
Measurement Properties ◽  
Confirmatory Factor ◽  
The Impact

Developing scientific evidence showing the impact of intimate partner violence (IPV) on companies’ productivity is an effective way to involve them in IPV prevention. However, there are no suitable and brief self-report instruments available that measure this impact on labor settings. This study develops and assesses the measurement properties of lost days of labor productivity scale based on tardiness, absenteeism, and presenteeism which may be due to IPV. Fourteen items have been developed and tested for 2,017 employees in 306 companies in Ghana, Pakistan, and South Sudan. Descriptive statistics, confirmatory factor analysis, heterotrait–monotrait matrix, and reliability coefficients have been conducted to assess the reliability of the scores. Confirmatory factor analysis indicates a two-factor second-order solution, stable by sex and countries. All subscales demonstrate good reliability, construct and discriminant validity, showing that the scale is a valid and reliable self-report questionnaire, which may measure the impact of IPV on businesses.

scholarly journals Competencies and Performance of Engineering Professors: Evidence from a Brazilian Public University

2018 ◽  
Vol 38 (3) ◽  
pp. 33-41 ◽  
Author(s):  
Gustavo Dambiski Gomes de Carvalho ◽  
Rúbia Oliveira Corrêa ◽  
Hélio Gomes de Carvalho ◽  
Alboni Marisa Dudeque Pianovski Vieira ◽  
Rosângela De Fátima Stankowitz ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Engineering Students ◽  
Public University ◽  
Pedagogical Knowledge ◽  
Emotional Skills ◽  
Knowledge Innovation ◽  
Item Questionnaire ◽  
Confirmatory Factor ◽  
And Performance ◽  
The Impact

 This research aims to analyze the influence of Engineering professors’ competencies on their performance, as perceived by Engineering students and graduates from a Brazilian federal public university. Regarding methodology, a set of Engineering educators’ competencies were proposed, identified, and validated by exploratory factor analysis (EFA), parallel analysis, internal consistency (Cronbach’s alpha), and partial confirmatory factor analysis (PCFA) in a sample of 139 Engineering students and graduates (engineers), who answered a 35-item questionnaire. Results reveal three main competencies (namely, content-pedagogical knowledge, innovation-inspiring attitudes, and emotional skills) that further the research on the competencies of Engineering professors. First, content-pedagogical knowledge is perceived by students as a single, merged competence. Second, Engineering students not only need to develop innovation competencies, but Engineering educators also have to develop innovation-inspiring attitudes to motivate students’ innovativeness. Third, emotional skills also play an important role in professors’ performance. Finally, the impact of these competencies on Engineering educators’ performance was confirmed and analyzed by means of a logistic regression.

scholarly journals Evaluation of the impact of motivation for work on the performance of lecturers using exploratory factor analysis and multi-linear regression model

2021 ◽  
Vol 8 (1) ◽  
pp. 117-124
Author(s):  
Bui et al. ◽  
Keyword(s):  
Factor Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Exploratory Factor Analysis ◽  
Linear Regression Model ◽  
Working Environment ◽  
National University ◽  
Multi Linear Regression ◽  
And Performance ◽  
The Impact

Motivation and performance are crucial factors regarding university success and students’ achievements. The purpose of this study is to evaluate the impact of motivation to work on the performance of lecturers using exploratory factor analysis and multi-linear regression. Questionnaires were used to collect data from respondents. The data were analyzed by frequencies, percentages, means, Pearson’ Linear Correlation Coefficient, exploratory factor analysis, and multi-linear regression model based on the survey data of 321 university lecturers at Vietnam National University, Hanoi. The research results show four factors that positively affect the performance of lecturers, including wages and other benefits, training and development, working environment, and working motivation. As a result, the study is the basis for making appropriate policies that contribute to enhance the motivation and performance of the lecturers.

scholarly journals The Measurement Of Corporate IT Security Against The Internal Perspective

2018 ◽  
Vol 3 (1) ◽  
pp. 44-57
Author(s):  
Johanes Fernandes Andry ◽  
Febryanto Kurniawan
Keyword(s):  
Business Processes ◽  
Ad Hoc ◽  
It Governance ◽  
Security Level ◽  
It Security ◽  
Technological Advances ◽  
Level 3 ◽  
And Performance ◽  
Performance Results ◽  
The Impact

Technology is growing the impact of this technological advances, the Information Technology world at the company is competing to perform a good performance for the company. The level of security in the system in the company becomes important to note because the company has thousands of useful data for the company. The relationship between IT and business processes is closely related to each other and need each other. So in this study pharmaceutical companies located in Jakarta will make measurements of their IT security level and performance of the company's performance. Results maturity level obtained on the DS5 is 1.4, DS7 is 1, DS10 is 1.7, DS11 is 2, and DS13 is 1.8. TI can be concluded that DS5 and DS7 are still initial / ad-Hoc while DS10, DS11, & DS13 are still repeatable but intuTIive. Expected level is Level 3 for the company. IT can be concluded that IT governance in this company in terms of security has effectiveness but not yet maximally in the purpose of its business process, hence this research done to become evaluation company to improve their IT governance.

Measuring Impact of Stress in Sandwich Generation Caring for Demented Parents

GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Social Worker ◽  
Resource Availability ◽  
Well Being ◽  
Sandwich Generation ◽  
Item Questionnaire ◽  
Significant Difference ◽  
Adult Caregivers ◽  
The Impact

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

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