scholarly journals Analytic Hierarchy of Motivating and Demotivating Factors Affecting Labor Productivity in the Construction Industry: The Case of Azerbaijan

2019 ◽  
Vol 11 (21) ◽  
pp. 5975 ◽  
Author(s):  
Konul Aghayeva ◽  
Beata Ślusarczyk
Keyword(s):  
Labor Productivity ◽  
Work Conditions ◽  
Management Style ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Motivation Factors ◽  
Construction Companies ◽  
Challenging Tasks ◽  
The Republic ◽  
Human Resources Strategies

This research is aimed to identify and comparatively assess the motivation factors influencing labor productivity from the construction employees’ perception. Based on results of a filled-in and returned questionnaire distributed among 350 workers and managers from 25 construction companies throughout the Republic of Azerbaijan, motivation and demotivation factors were identified. The statistical analysis of motivation drivers showed that most important ones for all construction employees are remuneration (including its timely payment), job security, bonuses, and fringe benefits. Among top demotivators for all types of employees are unsafe work conditions, underpayment, and colleagues’ aggressive management style. Workers are also affected by bad treatment by managers and changing on workmates. While workers are more concerned with quality of site management and good relations with colleagues, managers are more motivated by responsible job and challenging tasks and demotivated by chaos and incompetent colleagues. Thus, according to the study, both economic and non-economic motivation and demotivation drivers occurred to be important for construction employees, and must be accounted by human resource (HR) officers. The results of the research would assist construction companies’ management in developing more precise and employee-oriented human resources strategies and policies.

scholarly journals FEASIBILITY ANALYSIS MODEL FOR DEVELOPER-PROPOSED HOUSING PROJECTS IN THE REPUBLIC OF KOREA

2012 ◽  
Vol 18 (3) ◽  
pp. 345-355 ◽  
Author(s):  
Young-Ki Huh ◽  
Bon-Gang Hwang ◽  
Joong-Seok Lee
Keyword(s):  
Economic Feasibility ◽  
Feasibility Analysis ◽  
Republic Of Korea ◽  
Development Projects ◽  
Analysis Model ◽  
Site Location ◽  
Analytic Hierarchy ◽  
Housing Projects ◽  
Construction Companies ◽  
The Republic

The current construction industry recession in the republic of Korea has caused many construction companies to promote their own housing development projects. However, developers are still proposing many housing projects. While many studies on feasibility analysis for housing projects have been released, the focus was on economic feasibility, and factors related to developers have not been identified clearly enough to be used in practice. A feasibility analysis model is developed for apartment development projects in Korea to help main contractors make sound decisions on projects proposed by developers. To establish the model, 31 driving factors behind projects’ success, in seven categories, were identified through several meetings with experts and surveys. Factors such as ‘developer’, ‘method of raising funds’ and ‘method of contract’, which were considered less important in previous studies, were included in the model. Criteria for each factor were also developed to assess the factors quantitatively. Then, each factor was assigned a weight by applying the Analytic Hierarchy Process. ‘Salability’, ‘economic feasibility’, ‘site location’ and ‘method of raising funds’ have relatively high weights. Finally, based on a Monte Carlo simulation, a feasibility analysis model was established, providing a probability distribution of each project's grade. The model was applied to 12 housing projects constructed in Busan (seven successful projects and five abandoned projects) to verify its reliability. The application results showed that the model properly filtered projects that are unlikely to be profitable, indicating that it is reasonably reliable. Our model could thus be a useful tool for contractors, especially those with limited experience in analyzing project development feasibility.

scholarly journals Application of the Regression Model for Evaluating Factors Affecting Construction Workers’ Labor Productivity in Vietnam

2019 ◽  
Vol 13 (1) ◽  
pp. 353-362 ◽  
Author(s):  
Dinh Tuan Hai ◽  
Nguyen Van Tam
Keyword(s):  
Regression Model ◽  
Labor Productivity ◽  
Time Factors ◽  
Construction Workers ◽  
Construction Sites ◽  
Factors Affecting ◽  
Construction Firms ◽  
Motivation Factors ◽  
Impacting Factors ◽  
To Come

Background: In the rapidly-developed construction industry, labor productivity has improved to a great extent, still, it is low compared with many other industries. The enhancement of labor productivity has become important that attracts much attention and focus from researchers in Vietnam and around the world. Aim: This paper focuses on key factors affecting labor productivity of construction sites in Vietnam by introducing a regression model to evaluate the extent of each factor’s impact on the labor productivity of construction workers. Methods: Ten groups of impacting factors were identified as factors relevant to construction worker, factors relevant to site operation and management, factors relevant to motivation, factors relevant to working time, factors relevant to labor working tools, factors relevant to labor working conditions, factors relevant to working safety, factors relevant to project informations, factors relevant to natural environment, and factors relevant to socio-economic conditions. Results: By referring to research results, Vietnamese construction contractors will be able to come up with workable solutions towards a better performance of construction workers. Conclusion: On that basis, the productivity of construction firms and the workers will be improved correspondingly.

scholarly journals Factors Affecting The Work Motivation Of BSBA Graduates Employed In Carcanmadcarlan: A Survey

2015 ◽  
Vol 2 ◽  
pp. 134-143
Author(s):  
Jeni Theresa C. Bona ◽  
Myriflor S. Avenido ◽  
Lyka Grace Ravelo ◽  
Meliza R. Pie ◽  
Neomelyn R. Lajera ◽  
...  
Keyword(s):  
Employee Satisfaction ◽  
Work Motivation ◽  
Primary Data ◽  
Extrinsic Factors ◽  
Organizational Goals ◽  
Factors Affecting ◽  
Intrinsic Factors ◽  
Motivation Factors ◽  
The Republic ◽  
Training Opportunities

Motivating employees is a way to make them give their best to the organization for the achievement of organizational goals. But choosing the strategy for motivation may differ from time to time and organization to organization because it is a psychological sensation and it is depending on the preference of employees. The study attempted to identify the intrinsic and extrinsic factors affecting the work motivation of BSBA Graduates working in different institutions here in the CarCanMadCarLan area. With a view to collect primary data, and adopted a questionnaire from the Republic of Macedonia (Employee Satisfaction Survey, 2009) was provided to 40 respondents. The study identified 11 broad categories of motivation factors such as (1) management, (2) employee competence, (3) training opportunities in the organization, (4) premises and technical working conditions, (5) remuneration, (6) relationships between employees, (7) workload, (8) influence, (9) responsibility, (10) trust and finally (11) image of the organization. The study found that intrinsic factors have a significantly higher impact on the employee’s motivation than extrinsic factors. Finally, the study concluded that the BSBA employees working in different institutions are adequately motivated. On the basis of these findings, implications of the finding for future study were stated.

scholarly journals LABOR PRODUCTIVITY– ONE OF THE MAJOR EFFICIENCY CRITERIA OF THE AGRICULTURAL SECTOR OF THE REPUBLIC OF KAZAKHSTAN

2020 ◽  
Vol 3 (77) ◽  
pp. 148-152
Author(s):  
R. N. ZHANGIROVA ◽  
Keyword(s):  
Labor Productivity ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Agricultural Industry ◽  
Factors Affecting ◽  
The Republic ◽  
The Relationship

The article considers the relationship between the category of labor productivity and efficiency. The factors affecting the level of labor productivity in the agricultural industry are investigated. The problems of increasing labor productivity and the efficiency of agricultural production are shown. The analysis of labor productivity in agriculture of the Republic of Kazakhstan. The main directions of increasing labor productivity in the agricultural sector of Kazakhstan are presented.

Hygienic assessment of learning environment conditions (by the example of higher educational institutions of the city of Ufa)

2020 ◽  
Vol 99 (4) ◽  
pp. 405-411
Author(s):  
Elena Ju. Gorbatkova
Keyword(s):  
Ionizing Radiation ◽  
Educational Institutions ◽  
Higher Educational Institutions ◽  
Factors Affecting ◽  
Republic Of Bashkortostan ◽  
Average Relative Humidity ◽  
Higher Educational ◽  
The Republic ◽  
And Performance ◽  
The City

Introduction. The important factors affecting health and performance of young people are the conditions of education, in particular, a comfortable microclimate in the classrooms of higher educational institutions. Materials and methods. In view of the urgency of this problem, an analysis was made of the microclimate parameters of educational organizations of different profiles (Ufa city, the Republic of Bashkortostan). 294 classrooms were studied in 22 buildings of 4 leading universities in Ufa. A total of 3,822 measurements were taken to determine the parameters of the microclimate. The analysis of ionizing radiation in the aerial environment of classrooms. There was performed determination of radon and its affiliated products content. In order to assess the conditions and lifestyle of students of 4 higher educational institutions of the city of Ufa, we conducted an anonymous survey of 1,820 students of I and IV years of education. Results. The average temperature in the classrooms of all universities studied was 23.9±0.09 C. The average relative humidity in all classrooms was 34.2 ± 0.42%. Analysis of ionizing radiation (radon and its daughter products decay) in the aerial environment of the classrooms and sports halls located in the basement determined that the average annual equivalent equilibrium volumetric activity of the radon daughter products (EROA ± Δ222Rn) ranged from 28 ± 14 to 69 ± 34.5 meter, which meets the requirements established by SanPiN. Conclusion. The hygienic assessment of the microclimate parameters of educational institutions of various profile revealed a number of deviations from the regulated norms. The results indicate the need to control the parameters of the microclimate, both from the administration of universities, and from the professors. According to the results of the study, recommendations were prepared for the management of higher educational institutions in Ufa.

EVALUATION OF FINANCIAL SECURITY OF THE REPUBLIC OF CRIMEA

2020 ◽  
pp. 56-67
Author(s):  
Elena Evgenevna Mashyanova ◽  
Elena Aleksandrovna Smirnova
Keyword(s):  
Financial Markets ◽  
Negative Impact ◽  
Gradual Increase ◽  
Financial System ◽  
Financial Security ◽  
Key Factors ◽  
Factors Affecting ◽  
External Threats ◽  
The Republic ◽  
Global Financial System

In modern conditions of development, financial security is an integral part of the overall security of the region and is formed on the basis of the functioning of the financial system. The complication of relationships between key segments of international financial markets, as well as the limited ability to accurately predict future trends in the development of the global financial system, lead to a gradual increase in the risks that accompany the activities of economic entities, and an increase in the number and scale of internal and external threats that have a negative impact on the financial security of the state. This formulation of the issue requires generalization of approaches to determining the financial security of the region in order to further formalize this issue and determine the key factors affecting it. The article considers the types of financial security, as well as certain areas of ensuring the financial security of the region and their priority. In work the assessment of the level of socio-economic development of the region with a view to ensuring financial security on the basis of which offers the main activities and priority areas of implementation of the investment policy that will ensure financial security of the Republic of Crimea.

scholarly journals Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport

2021 ◽  
Vol 13 (5) ◽  
pp. 2845
Author(s):  
Sara Poveda-Reyes ◽  
Ashwani Kumar Malviya ◽  
Elena García-Jiménez ◽  
Gemma Dolores Molero ◽  
Maria Chiara Leva ◽  
...  
Keyword(s):  
Transport System ◽  
Autonomous Vehicles ◽  
Transport Sector ◽  
Sustainable Society ◽  
Analytic Hierarchy ◽  
Family Responsibilities ◽  
Factors Affecting ◽  
Participation Of Women ◽  
Bike Sharing ◽  
Safe Transport

It is well established that the transport sector is not an equalitarian sector. To develop a sustainable society, a more equalitarian and safe transport system for both users and transport sector employees is needed. This work prioritizes the needs and barriers previously identified as relevant among transport system users and employees for four different transport scenarios (railways, autonomous vehicles (AVs), bicycle-sharing services (BSSs), and employment). The aim of this paper is to prioritize the factors affecting women in these four transport scenarios with the help of a survey followed by the application of mathematical and computational algorithms based on the analytic hierarchy process (AHP) methodology. The identification of factors with higher influence in the fair participation of women in the transport sector will help transport planners, bike-sharing system owners, decision-makers, transport companies, and regulatory professionals to develop measures that could plausibly increase the proportion of women as users of BSSs, users of rail public transport, and AVs, as well as employees in the transport sector for a sustainable society. The results indicated that safety and security were the most challenging factors for railways. Weather, topography, and family responsibilities were shown to have a high influence on the use of BSSs. In the case of autonomous vehicles, the simultaneity and trust in the technology are the main opportunities to influence the acceptance of such vehicles. Finally, for transport employment, caring and parenting responsibilities were the factors that had the largest effect. Some differences in priorities were found for different profiles of women.

scholarly journals Estimation of Electricity Generation by an Electro-Technical Complex with Photoelectric Panels Using Statistical Methods

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1278
Author(s):  
Anna Turysheva ◽  
Irina Voytyuk ◽  
Daniel Guerra
Keyword(s):  
Random Distribution ◽  
Graphical Representation ◽  
Random Variable ◽  
Climatic Conditions ◽  
Characteristic Energy ◽  
Study Region ◽  
Factors Affecting ◽  
Solar Systems ◽  
The Republic ◽  
Technical Complex

This paper presents a computational tool for estimating energy generated by low-power photovoltaic systems based on the specific conditions of the study region since the characteristic energy equation can be obtained considering the main climatological factors affecting these systems in terms of the symmetry or skewness of the random distribution of the generated energy. Furthermore, this paper is aimed at determining any correlation that exists between meteorological variables with respect to the energy generated by 5-kW solar systems in the specific climatic conditions of the Republic of Cuba. The paper also presents the results of the influence of each climate factor on the distribution symmetry of the generated energy of the solar system. Studying symmetry in statistical models is important because they allow us to establish the degree of symmetry (or skewness), which is the probability distribution of a random variable, without having to make a graphical representation of it. Statistical skewness reports the degree to which observations are distributed evenly and proportionally above and below the center (highest) point of the distribution. In the case when the mentioned distribution is balanced, it is called symmetric.

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