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 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.

scholarly journals The factors influencing technological entrepreneurship in nanotechnology businesses

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tayebeh Nikraftar ◽  
Elahe Hosseini ◽  
Elham Mohammadi
Keyword(s):  
Analysis Method ◽  
Business Managers ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Confirmatory Factor ◽  
Technological Entrepreneurship ◽  
Executive Managers ◽  
Economic Modernization ◽  
Vital Factor

PurposeTechnological entrepreneurship has been a very significant topic in recent decades. It has a crucial role in economic modernization and growth. The need for technological entrepreneurship is because technology-based industries are expanding rapidly and are replacing traditional industries. Therefore, this study aimed at identifying the factors affecting the success of technological entrepreneurship in Iranian nanotechnology businesses.Design/methodology/approachThe research was conducted through mixed method. The participants in the qualitative section included 17 university experts and executive managers in the field of nanotechnology in Iran, and 75 nanotechnology business managers participated in the quantitative section. The interview and questionnaire were used to collect information. In order to measure and fit the models, the confirmatory factor analysis method and PLS3 software were used.FindingsThe results indicated that the key factors affecting the success of the technological entrepreneurship process in nanotechnology were classified into five general categories: organizational, environmental, institutional, individual and technology factors. Moreover, it was shown that all these dimensions had a positive and significant effect on technological entrepreneurship. In addition, the organizational dimension has an essential role.Originality/valueCompanies' ability to engage technological entrepreneurship is a vital factor in human resource management and strategic management. However, technological entrepreneurship in Iranian nanotechnology businesses has not been involved integrally in the context of companies.

Analysis of the Granularity of Task Decomposition in Enterprise Alliance Based on System Dynamics

2011 ◽  
Vol 314-316 ◽  
pp. 487-491
Author(s):  
Xian Zhang
Keyword(s):  
Qualitative Analysis ◽  
System Dynamics ◽  
System Dynamics Model ◽  
Key Factors ◽  
Dynamics Model ◽  
Task Decomposition ◽  
Proposed Model ◽  
Product Manufacturing ◽  
Manufacturing Time ◽  
Dynamics Method

The influence brought by the granularity of task decomposition on the key factors of enterprise aliance was studied based on system dynamics method. These factors includs inter-restriction, product manufacturing time, collaboration fee, Alliance leader benefit, capability and compatibility. Causality diagram and system dynamics model were established for these factors. This paper also developed a simulation program for the granularity of task decomposition based on the system dynamics model and validated the effectiveness of the proposed model by a qualitative analysis. The results show that it is a workable method to research the granularity of task decomposition in enterprise aliance using system dynamics theory.

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 Theoretical analysis of factors affecting the development of logistics centre

2020 ◽  
Author(s):  
Nadina Moroza ◽  
◽  
Inguna Jurgelane-Kaldava ◽  
Keyword(s):  
Qualitative Analysis ◽  
Scientific Literature ◽  
Service Level ◽  
Great Success ◽  
Analysis Method ◽  
Factors Affecting ◽  
Efficient Management ◽  
Factors Influencing ◽  
Main Factors ◽  
Stable Growth

Profitable logistics complex system is an important factor for stable growth in economics of the state. Efficient management is the key to success, especially in logistic sector. To achieve great success in logistics it is decisive to understand and analyse all factors which influence on development of current sector. The aim of the present study was to review scientific literature about the factors affecting development of logistics centre. Furthermore, the sustainability construction qualitative analysis method was employed as basis to conduct the research. Based on the literature, authors defined different factors influencing on the development of logistics centre and conducted groups of factors. Using qualitative analysis, the author developed main factors and elaborated definitions for each factor to provide information about included sub-factors. Service level was indicated as one of the important categories. It shows level of clients’ satisfaction with service given by the logistic centres. Finally, all factors were ranged by importance, to show gradation and influence on development.

scholarly journals Identifying Key Factors Affecting on Future of Text Information Retrieval: a Cross-Impact Analysis Method

2021 ◽  
Vol 36 (3) ◽  
pp. 861-892
Author(s):  
abolfazl Asadnia ◽  
Mehrdad CheshmehSohrabi ◽  
Ahmad shaban ◽  
عاصفه عاصمی ◽  
Mohsen Taheri Demneh ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Impact Analysis ◽  
Analysis Method ◽  
Key Factors ◽  
Factors Affecting ◽  
Text Information ◽  
Text Information Retrieval

scholarly journals Developing a system dynamics model for prediction of phosphorus in facultative stabilization ponds

AMB Express ◽  
2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ebrahim Shahsavani ◽  
Ali Asghar Ebrahimi ◽  
Mohammad Hassan Ehrampoush ◽  
Houshang Maleknia ◽  
Hadi Eslami ◽  
...  
Keyword(s):  
System Dynamics ◽  
Algal Growth ◽  
Hydrolysis Rate ◽  
Phosphorus Concentration ◽  
Settling Rate ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Factors Affecting ◽  
Analysis And Design ◽  
Stabilization Ponds

Abstract System dynamics is considered as a computer-aided approach to policy analysis and design. It includes the response and reaction of a system to external shocks. In the present research, following the sampling and testing phases, a system dynamics model was developed for modeling of phosphorus in facultative stabilization ponds. First, the scheme of soluble reactive phosphorous stock, its specifications and parameters were determined and created in the VenSim PLE 7.1 software. Then, mathematical relations were determined for each process. Finally, the model was calibrated and verified based on the data from the Yazd facultative ponds, Iran. Sensitivity analysis showed that the most important factors affecting phosphorus concentration in the ponds are the phosphorus settling rate, losses caused by algal respiration and excretion, while the losses caused by herbivorous zooplanktons, hydrolysis rate of inorganic carbon, and ratio of phosphorus to chlorophyll-a had the least importance. Results showed that, algal growth rate and phosphorus settling rate were important factors in phosphorus removal. Hence, with appropriate retention time in the pond, it can be managed more properly. The ratio of phosphorus to algae had less importance in the model. The ratio of carbon to phosphorus and rate of respiration of carnivorous zooplanktons did not affect the phosphorus concentration. It is recommended that this model can be used for pond management and overall assessment of facultative ponds.

Coupling Effect between Gear Backlash of Friction Plate and Axial Separation Gap in Multi-Friction Pairs

2013 ◽  
Vol 572 ◽  
pp. 471-475
Author(s):  
Shen Long Li ◽  
Jiang Li Pan ◽  
Xin Yuan Zhao
Keyword(s):  
Failure Modes ◽  
Coupling Effect ◽  
Key Factors ◽  
Dynamics Model ◽  
Flexible Coupling ◽  
Factors Affecting ◽  
Gear Backlash ◽  
Coupling Dynamics ◽  
Coupling Dynamic ◽  
Friction Plate

Multi-plate friction pairs are important components in the gearbox of tracked vehicle. When the multi-friction pairs are in separation state, the uniform separation gaps of friction pairs are key factors affecting their operating performance. Most current research focuses on investigation of the failure modes of friction plate, such as, wear. However, the literatures on the vibration excitations from the inner and outer hub which affect the uniform separation gaps of the friction pairs are rare. This paper developed a rigid-flexible coupling dynamic model with different gear backlashes. The vibration characteristics of manipulate components and the separation gap of the friction pairs are studied. The results show that the model can be utilized to investigate the effects of the gear backlashes for manipulation components on the separation gaps of multi-friction pairs and it can be used to study the failure modes of friction plate in brakes. The developed model is expected to be the foundation for further optimization of the gear backlash. Keywords: Multi Friction Pairs; Separation gap; Gear Backlash; Rigid-flexible Coupling Dynamics Model

Influence of Dropper Spacing on Quality of Pantograph-Catenary Current Collection

2014 ◽  
Vol 654 ◽  
pp. 78-81 ◽  
Author(s):  
Mei Li Yu ◽  
Wen Zheng Liu ◽  
Jian Zhang ◽  
Cai Ying Yan
Keyword(s):  
Contact Force ◽  
Analysis Method ◽  
Key Factors ◽  
Element Analysis ◽  
Factors Affecting ◽  
Contact Wire ◽  
Current Collection ◽  
Negative Effect ◽  
The Stability

Elasticity variations in railway overhead contact line would lead to the fluctuation of contact force between pantograph and contact wire and produce a negative effect on the stability of current collection. Dropper distribution is one of the key factors affecting the elasticity of the contact wire. In this paper, the influence of dropper spacing on elasticity and quality of current collection have been studied using finite element analysis method by simulation. By analyzing the changes of elasticity value and contact force under different conditions of dropper distribution, the effect laws of dropper spacing on the contact wire elasticity and the quality of current collection under the speeds of 300km/h, 350km/h and 400km/h have been obtained.

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