scholarly journals Improving the methods for labor productivity calculation

2020 ◽  
Vol 16 (5) ◽  
pp. 920-934
Author(s):  
V.V. Lymar'
Keyword(s):  
Labor Productivity ◽  
Systems Approach ◽  
Value Added ◽  
Key Factors ◽  
Productivity Improvement ◽  
Cost Component ◽  
Factors Affecting ◽  
The Social ◽  
Social And Economic Development ◽  
The Cost

Subject. The article addresses the methods for calculating the labor productivity, as their efficient use enables to improve the social and economic development of the society, ensure stable economic growth and competitiveness of national economy. Objectives. The study focuses on identifying and structuring the factors that have an impact on labor productivity growth, analyzing the current methods for labor productivity calculation applied by Russian companies, and developing practical recommendations. Methods. I employ various methods of information gathering and processing, including the analysis of appropriate laws and regulations, official statistical data, public reporting of domestic enterprises, etc. The study also draws on the systems approach, and comparative and statistical analysis. Results. I offer a classification of the key factors affecting the labor productivity, reveal the value added as the most effective indicator for labor productivity evaluation. The cost component in value added most correctly reflects the dynamics of production as compared with the revenue-based methodology. The classification helps understand the most effective directions and methods of labor productivity improvement. Conclusions. The offered methodology is the most effective. It enables to present an adjusted algorithm for labor productivity calculation, using the value added.

scholarly journals Using a Novel Grey DANP Model to Identify Interactions between Manufacturing and Logistics Industries in China

2018 ◽  
Vol 10 (10) ◽  
pp. 3456 ◽  
Author(s):  
Peng Jiang ◽  
Yi-Chung Hu ◽  
Ghi-Feng Yen ◽  
Hang Jiang ◽  
Yu-Jing Chiu
Keyword(s):  
Manufacturing Industry ◽  
Multiple Criteria Decision Making ◽  
Value Added ◽  
Manufacturing Industries ◽  
Direct Influence ◽  
Key Factors ◽  
Logistics Industry ◽  
Influence Matrix ◽  
Factors Affecting ◽  
Two Factors

As a crucial part of producer services, the logistics industry is highly dependent on the manufacturing industry. In general, the interactive development of the logistics and manufacturing industries is essential. Due to the existence of a certain degree of interdependence between any two factors, interaction between the two industries has produced a basis for measurement; identifying the key factors affecting the interaction between the manufacturing and logistics industries is a kind of decision problem in the field of multiple criteria decision making (MCDM). A hybrid MCDM method, DEMATEL-based ANP (DANP) is appropriate to solve this problem. However, DANP uses a direct influence matrix, which involves pairwise comparisons that may be more or less influenced by the respondents. Therefore, we propose a decision model, Grey DANP, which can automatically generate the direct influence matrix. Statistical data for the logistics and manufacturing industries in the China Statistical Yearbook (2006–2015) were used to identify the key factors for interaction between these two industries. The results showed that the key logistics criteria for interaction development are the total number of employees in the transport business, the volume of goods, and the total length of routes. The key manufacturing criteria for interaction development are the gross domestic product and the value added. Therefore, stakeholders should increase the number of employees in the transport industry and freight volumes. Also, the investment in infrastructure should be increased.

Factors Affecting Individual Level ERP Assimilation in a Social Network Perspective

2017 ◽  
Vol 25 (3) ◽  
pp. 21-39 ◽  
Author(s):  
Luan Gao ◽  
Luning Liu ◽  
Yuqiang Feng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Interactive Learning ◽  
Influential Factors ◽  
Three Dimensions ◽  
Organizational Level ◽  
Key Factors ◽  
Factors Affecting ◽  
Individual Level ◽  
The Social

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, the authors attempt to extend their understanding of individual level ERP assimilation from the perspective of social network theory. They designed a multi-case study to explore the relations between ERP users' social networks and their levels of ERP assimilation based on the three dimensions of the social networks. The authors gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and interactive learning. They found that users' social networks play a significant role in individual level ERP assimilation through interactive learning among users. They also found five key factors that facilitate users' assimilation of ERP knowledge: homophily (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality.

scholarly journals Cost-Benefit Analysis under the DSM Model of Green Lighting

2018 ◽  
pp. 149-155
Author(s):  
Yanjiang GONG ◽  
Jiang LI ◽  
Wenshuang YU ◽  
Runbing YANG ◽  
Tiejun ZHOU
Keyword(s):  
Sensitivity Analysis ◽  
Association Rules ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Benefit Analysis ◽  
Key Factors ◽  
Factors Affecting ◽  
Subsidy Rate ◽  
Willingness To Use ◽  
The Cost

Based on the concept of DSM and the requirements of the demonstration project, the DSM model of green lighting was studied, carrying out the cost-benefit analysis. Combining the characteristics of the demonstration area, first of all, the cost-benefit of different interest subjects was analyzed. Secondly, the association rules algorithm was analyzed in detail, and the cost-benefit was analyzed by the association rules algorithm. Finally, the sensitivity analysis of the key factors, affecting the cost and benefit of each interest subject, was done by using the algorithm. And it is concluded that the user subsidy rate and consumer electricity price are the key factors that affect the userТs willingness to use green lighting technology and power grid enterprises to implement DSM measures.

scholarly journals Obtaining the Factors Affecting Bioeconomy

2019 ◽  
Vol 23 (1) ◽  
pp. 277-291 ◽  
Author(s):  
Indra Muizniece ◽  
Lauma Zihare ◽  
Dagnija Blumberga
Keyword(s):  
Scientific Literature ◽  
Value Added ◽  
Decisive Role ◽  
Analysis Method ◽  
System Dynamics Model ◽  
Key Factors ◽  
Dynamics Model ◽  
Factors Affecting ◽  
Development Scenarios ◽  
Link Strength

Abstract At the scientific level it is being increasingly recognised that the concept of bioeconomy has transdisciplinary nature, but there is still no consensus on key factors that would accelerate the development of sustainable bioeconomy. Therefore, within the framework of this study, certain factors, their interactions and link strength with bioeconomy from a scientific perspective are identified. A bibliometric analysis method is used to achieve this aim in such a way that the keyword information on the published scientific literature in relation to the bioeconomy is translated into quantifiable data. This way the relevance of the bioeconomy factors and the strength of their direct and mutual interaction with the bioeconomy will be determined. From this study it can be concluded that the strongest links with bioeconomy are for biomass, bioenergy, biotechnology and innovations. No significant link was found for such factors as: behaviour, production, pollution and infrastructure. It becomes clear that, in the view of scientists, the decisive role in the development of the bioeconomy resulting from the use of bio resources in the higher value-added production is for technologies. These results are used to build a framework for a system dynamics model that can be used for modelling bioeconomy development scenarios in the future.

scholarly journals Psychological Factors Affecting Students Academic Performance in Kyrgyzstan

2019 ◽  
Author(s):  
Raziya Abdiyeva ◽  
Kadiyan Boobekova
Keyword(s):  
Academic Performance ◽  
Psychological Factors ◽  
Decisive Role ◽  
Probit Model ◽  
Ordered Probit ◽  
Factors Affecting ◽  
Academic Achievements ◽  
The Social ◽  
Social And Economic Development

The quality of human capital plays decisive role in the social and economic development of the country. Education and its quality are essential issue to government. In the learning process the students’ comprehension is important in achieving the determined goal. However there are various factors that affect the students’ performance as socio-demographic, economic and psychologic factors. This paper is aimed to investigate the effect of psychologic factors on academic achievements of students in higher education in the case of the Kyrgyz Turkish ‘Manas’ University. Psychological factors were analyzed using ordered probit model and data that was obtained in 2014 by conducting a questionnaire to 3133 students. According to the results psychological factors significantly affect academic performance of students.

scholarly journals Profitability Analysis of Ginger Value Addition in Abia State, Nigeria

2020 ◽  
Vol 2 (2) ◽  
pp. 50-54
Author(s):  
Ndubuisi Chigozirim Onwusiribe ◽  
Chimarauche Peace Amanze ◽  
Chinwendu Oriaku
Keyword(s):  
Value Added ◽  
Sampling Technique ◽  
Value Addition ◽  
Factors Affecting ◽  
Profitability Analysis ◽  
Specific Factors ◽  
Cost Implications ◽  
The Cost ◽  
Structured Questionnaire ◽  
Value Added Products

This study analyzed the profitability of ginger value addition in Abia State, Nigeria. This study identified the ginger value-added products common in the area, the cost implications of the value addition process, and the socio-economic and farm-specific factors affecting ginger value addition. A stratified random sampling technique was used to select 60 (sixty) respondents and a well-structured questionnaire was used to collect the necessary data. The results revealed that the value ginger products were dried ginger, salted ginger, ginger flakes, ginger oil, and ginger paste. The factors affecting the profitability of ginger value addition from the linear regression model shows that education, income, capital, and collateral were significant. It is, therefore, recommended that youth and entrepreneurs should invest in ginger value addition as it is profitable and it is a sure way to economic empowerment and fight against hunger. 

scholarly journals The Pharmaceutical Firms of Pakistan: An Overview of Multidimensional Performance

2021 ◽  
Vol Volume 4 (Issue 3) ◽  
pp. 251-266
Author(s):  
Dr. Majid Ali ◽  
Dr. Gulam Sarwar ◽  
Dr. Abdul Saboor
Keyword(s):  
Pharmaceutical Industry ◽  
Cost Efficiency ◽  
Allocative Efficiency ◽  
Value Added ◽  
Raw Material ◽  
Factors Affecting ◽  
Pharmaceutical Firms ◽  
Single Output ◽  
Using Data ◽  
The Cost

The pharmaceutical industry of Pakistan is now meeting around 80% of total domestic demand with an annual11% growth rate. But the question arises as to whether the firms produce efficiently? The paper measures cost efficiency of the pharmaceutical industry of Punjab using Data Envelopment Analysis (DEA) for the period of 2014-15. The factors affecting the cost efficiency is also determined by using Tobit method. In first stage, value added is used as single output and number of employs, raw material, and cost of salary are as inputs. The result suggested that the cost efficiency of the pharmaceutical firms is 27.7% which is determined by 46% technical efficiency (TE) and 60.8% allocative efficiency (AE). It means wastage of resources is cost increasing factors in these firms. In the second stage, among the variables i.e. firm’s market share, firm’s Herfindahl-Hirschman Index (HHI) of market concentration, values of assets, energy, Herfindahl-Hirschman Index has strong positive effect on cost efficiency.

scholarly journals Investigation of Obstacles Affecting Implementation of Job Rotation Process

2020 ◽  
Vol 1 (1) ◽  
pp. 38-47
Author(s):  
Hawkar Kh. Rahman ◽  
Aras N. Yosif ◽  
Bushra Q. Mahmud
Keyword(s):  
Organizational Performance ◽  
Decision Makers ◽  
Technical Institute ◽  
Job Rotation ◽  
Factors Affecting ◽  
Human Resource Policies ◽  
The Social ◽  
Administration Culture ◽  
The Cost ◽  
Or Manager

Nowadays, for ideal level of organizational performance, organizations should develop human resource policies continually. Since employees are considered as the most valuable factor of success and production, the most important assets and a main source of competitive advantage. Modern institutions adopt Job rotation as a fundamental technique for developing staff at all levels of management and in different fields. It provides all members with opportunities to develop their skills, competency and knowledge in different kinds of various jobs. The main purpose of this empirical study is to identify the factors affecting the implementation of job rotation process in Erbil Administrative Technical Institute and Shaqlawa Technical Institute. This study is descriptive and the sample size of population included 115 employees and lecturers who worked in Erbil Administrative Technical Institute and Shaqlawa Technical Institute and 108 valid responses were generated from the employees and lecturers of the two institutes. The tool of the study was a questionnaire. Thus, the items of the study were developed according to the questionnaire employed a 3-point Likert scale. The collected data were then analyzed by statistical package for the social sciences (SPSS). The findings indicated staff interests or willingness in implementing job rotation, the management/ administration culture, knowledge or manager education were the main obstacles followed by the cost of implementing. Based on the findings, some recommendations were made for the decision makers.

scholarly journals How Can Information Technology Use Improve Construction Labor Productivity? An Empirical Analysis from China

2021 ◽  
Vol 13 (10) ◽  
pp. 5401
Author(s):  
Hao Lu ◽  
Qin Zhang ◽  
Qinghong Cui ◽  
Yuanyuan Luo ◽  
Pardis Pishdad-Bozorgi ◽  
...  
Keyword(s):  
Information Technology ◽  
Construction Industry ◽  
Labor Productivity ◽  
Technology Use ◽  
Key Factors ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
International Industry ◽  
Global Construction ◽  
Statistical Yearbook

Labor productivity is a significant indicator to measure the sustainable development potential and competitiveness of the construction industry. Under the background of the integration of global construction industry and information and communication technology (ICT), the pursuit of the growth of construction labor productivity (CLP) requires deepened understanding of how these technological advancements characterized by ICT take effect in the change of CLP as well as what the key factors are that led to the variation of CLP at this stage. The paper aims to investigate the effect of ICT progress on CLP and examine the key factors influencing CPL. Based on the data of 31 regions from the China Construction Industry Statistical Yearbook and the Local Statistical Yearbook during the period 2000–2018, this study proposed new methodology (Cobb–Douglas production function, growth rate model, and Malmquist Data Envelopment Analysis) for measuring the technology progress contribution and identified the key factors affecting the change of CLP. The analysis results illustrate that the information technology progress has a significant contribution to CLP growth, but the contribution rate is decreasing with the growing degree of development of the regional construction industry. Three main factors affecting the further improvement of CLP have been identified: human resources, research and development (R&D) investment, and ICT level. The findings can provide the decision-making reference and the general methodology for the local and international industry practitioners to improve the labor productivity performance of the construction sector.

scholarly journals Toponymic Image-Building for Urban Locations

2020 ◽  
Vol 17 (3) ◽  
pp. 263-278
Author(s):  
Marina V. Golomidova ◽  
Keyword(s):  
Urban Space ◽  
Social Relations ◽  
Urban Landscape ◽  
Media Representation ◽  
Cost Component ◽  
The Social ◽  
Image Building ◽  
The Cost ◽  
Place Naming ◽  
Promotion Process

The paper looks into the specifics of urban place naming from the perspective of modern territory marketing and branding. Regarding the image of a place as a strategy, the author postulates the importance of toponymic image-building for the market economy and transformation of the socio-cultural milieu. The study focuses on the cases of urban naming aimed at managing the perception of spatial objects and supported through their specific media representation. Most of these place names belong to Ekaterinburg, although some references to other cities are made as well. The originality of the proposed research consists in using discourse analysis to explain the image-building capacities of place naming that relate both to the name choice and to the semiotics of the material landscape, as well as to the intents and purposes of stakeholders involved in the promotion process. Toponymic image-building techniques are commonly used for positioning and promotion of residential real estate, prestigious business facilities, leisure and sports grounds. This enables the author to outline the naming techniques associated with different spheres of social relations. It is noted that toponymic image-building is another means of commodification of urban space, which is not limited to the cost component as such but also adds to the social value of the urban landscape. The conditional-symbolic principle of naming proves to be increasingly productive, which, according to the author, attests to the growing popularity of individualising components in ergonymic and toponymic naming. The research outcomes, covering both linguistic and general semiotic aspects of toponymic image-building, can contribute to solving problematic issues of applied toponymy and the development of urban toponymic policy.

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