Analysis on Influencing Factors on Cultivation of Graduate Innovation Ability Based on System Dynamics

2017 ◽  
pp. 250-266
Author(s):  
Bing Xiao ◽  
Vira Chankong
Keyword(s):  
System Dynamics ◽  
Influencing Factors ◽  
Innovation Ability

ELECTRIC VEHICLE BATTERY RECYCLING: SYSTEM DYNAMICS GAME BASED ANALYSIS FOR THE INFLUENCING FACTORS

2019 ◽  
Vol 18 (5) ◽  
pp. 1123-1136 ◽  
Author(s):  
Dong Mu ◽  
Xin Li ◽  
Jianbang Du ◽  
Yongwei Cheng ◽  
Salman Hanif ◽  
...  
Keyword(s):  
System Dynamics ◽  
Electric Vehicle ◽  
Influencing Factors ◽  
Recycling System ◽  
Battery Recycling ◽  
Electric Vehicle Battery

scholarly journals Modeling Influencing Factors for Passenger Flow Growth of Modern Trams Using System Dynamics Method

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Mao Ye ◽  
Ninghui Yang ◽  
Zhibin Li ◽  
Lingling Ma ◽  
Yajing Chen
Keyword(s):  
System Dynamics ◽  
Influencing Factors ◽  
Early Stage ◽  
Land Development ◽  
Service Level ◽  
Study Data ◽  
Extreme Condition ◽  
Passenger Flow ◽  
Planning And Design

Modern trams have been widely used around the world, especially in China. This paper explores the main influencing factors of modern trams’ passenger flow at the early operational stage. The system dynamics model is adopted for dealing with the problem on hand. Tram Line 1 in Huai’an, Jiangsu Province, China is selected as the case study. Data are collected using the RP and SP survey. The sensitivity test and extreme condition test are performed. The simulation results demonstrate that four variables (i.e., land development intensity, fares, service level, and transfer efficiency) significantly affect passenger flow. Land development intensity is the most significant factor, and the effect of service level on passenger flow is higher than that of the fares. The departure interval of 10 minutes is the maximum psychological limit that passengers can bear, and 2 RMB is a reasonable price. Such conclusions can provide guidance for the planning and design of modern trams and address the problem of shortage of passengers at an early stage.

Hybrid fuzzy-system dynamics approach for quantification of the impacts of construction claims

2019 ◽  
Vol 26 (7) ◽  
pp. 1261-1276 ◽  
Author(s):  
Farnad Nasirzadeh ◽  
David G. Carmichael ◽  
Mohammad Jafar Jarban ◽  
Mozhdeh Rostamnezhad
Keyword(s):  
System Dynamics ◽  
Influencing Factors ◽  
Fuzzy System ◽  
Construction Projects ◽  
Complex Structure ◽  
Quantitative Model ◽  
Related Structure ◽  
Flexible Tool ◽  
Content Type ◽  
Construction Claims

Purpose The purpose of this paper is to present a novel hybrid fuzzy-system dynamics (SD) approach for the quantification of the impacts of construction claims. Design/methodology/approach The most significant claims affecting a project are identified. The various factors affecting the impacts of claims are identified. Then, the qualitative model of construction claims is constructed considering the complex inter-related structure of the influencing factors. The mathematical relationships among the variables are determined and the quantitative model of claims is built. Finally, fuzzy logic is integrated into the proposed model to take into account the existing uncertainties. Findings To show the capabilities of the proposed simulation model, it is implemented on a real project and the impacts of the identified claims on the project cost are quantified. It is shown that the external interactions among different claims can intensify their overall impact. Research limitations/implications Identification of interactions among various influencing factors is not an easy job when there are a large number of claims in a project. Well-qualified experts and the existence of historical data may limit the application of the proposed method in projects with limited data and/or qualified experts. Practical implications The proposed hybrid fuzzy-SD approach provides a practical and flexible tool that can be used in various construction projects to assess the cost impacts of construction claims taking into account their complex interactions. Using the proposed method, the accuracy of achieved results is increased compared to conventional methods that are used for the quantification of claims since the complex inter-related structure of influencing factors and the claims interactions are taken into account. One of the capabilities of the proposed hybrid fuzzy-SD method is its flexibility. Depending on the type of contract and the parties involved in the project, the proposed hybrid fuzzy-SD method can be used during different stages of the project life cycle to model and quantify claims. Originality/value The proposed approach may present a flexible and robust method for quantification of construction claims. The novelty aspects of this paper are as follows: the extensively complex structure of claims arising from both internal and external interactions is accounted for using SD. The existing uncertainties affecting the impacts of a claim are taken into account.

scholarly journals Research on Influencing Factors of Green Innovation of New Energy Vehicles Based on Bayesian Networks

2021 ◽  
Vol 248 ◽  
pp. 02063
Author(s):  
JiaHui Li ◽  
Qin Liu ◽  
YingXi Ge
Keyword(s):  
Influencing Factors ◽  
Industrial Development ◽  
Implementation Process ◽  
Government Procurement ◽  
Green Innovation ◽  
Regression Methods ◽  
New Energy ◽  
Innovation Ability ◽  
Enterprise Innovation ◽  
Quantitative Results

This article analyzes the four quasi-measurement levels including industrial development, and collects various data such as government policies, fiscal data, and company patents. This paper analyzes the implementation process of policies, explores the research factors of enterprise innovation ability, and obtains 11 indicators. Based on the Bayesian network constructed with 11 indicators, we use linear regression methods to explore the influencing factors of the green innovation capability of new energy automobile companies, and quantify the degree of influence of each factor. Based on the quantitative results, this paper provides suggestions for government industrial strategic planning, taxation policies, government procurement, etc., and provides a reference for the development of new energy automobile enterprises' industry and technology.

scholarly journals A Nursing Innovation Workshop to Improve Clinical Nurses' Innovation Ability: a Quasi-experimental Study

2020 ◽  
Author(s):  
Limei Gao ◽  
Qiaocong Lu ◽  
Jiefen Ou ◽  
Xiangchuan Hou ◽  
Mingzhu Wang
Keyword(s):  
Experimental Study ◽  
Influencing Factors ◽  
Teaching Method ◽  
Tertiary Hospital ◽  
Questionnaire Data ◽  
Clinical Nurses ◽  
Quasi Experimental ◽  
Innovation Ability ◽  
Innovative Thinking ◽  
Research Ability

Abstract Background: Currently, the innovation ability of nurses in China is at a medium to low level. Most studies focus on nurses' innovation ability and its influencing factors, while few interventional studies consider how to improve nurses' innovation ability. The aim of the study is to explore the effects of nursing innovation workshops in improving clinical nurses' innovation ability.Methods: This Quasi-experimental study was conducted in a tertiary hospital of Guangdong. Thirty-seven recruited nurses participated in a nursing innovation workshop for half a year. Questionnaire data were collected on nurses’ self-rated innovation ability and research ability before the training and 3 months after finishing the training.Results: Nurses’ self-rated innovation ability and research ability improved significantly after the training (P < 0.001).Conclusions: A nursing innovation workshop is an effective and feasible teaching method that can promote the generation of innovative thinking and improve the innovative ability of nurses.

Innovation ability of industry-university-research cooperation and innovation considering split-combined quadratic big data dynamic model construction

2020 ◽  
pp. 002072092092965
Author(s):  
Yan Qing ◽  
Wang Qi
Keyword(s):  
Dynamic Model ◽  
Influencing Factors ◽  
Innovation Process ◽  
University Research ◽  
Three Dimensions ◽  
Research Knowledge ◽  
Core Competitiveness ◽  
Research Cooperation ◽  
Innovation Ability ◽  
The Difference

The innovation of industry, university and research cooperation innovation ability can increase the core competitiveness of enterprises, promote the further implementation, promote the cooperation and innovation ability of university enterprises, and enhance the comprehensive strength of the country. This study analyzes the knowledge transformation law revealed by the three exploratory cases from the three dimensions of knowledge coding, abstraction and diffusion, and proposes the knowledge space (K space) analysis framework of industry-university-research cooperation, and based on knowledge in K the difference in spatial position divides the knowledge form. The ability to acquire knowledge in four stages of industry-university-research cooperation innovation process positively influences the production, study and research knowledge to create performance, and helps propensity score matching method, build Industry-university-research cooperation innovation ability, enhances split-merger quadratic dynamic model, analyzes the influencing factors of knowledge innovation ability enhancement in industry-university-research cooperation, and supports the dynamic scalability of industry-university-research cooperation topology and the underlying transmission mechanism for industry-university-research cooperation innovation data. The dynamic mapping strategy between the operation node and the operation node was designed and improved. The key influencing factors of the knowledge digestion process, the key influencing factors of the knowledge sharing process and the key influencing factors of the knowledge proliferation process were verified based on the dynamic model. Industry, university and research cooperation innovation ability provides countermeasures.

Prediction and improvement of labor productivity using hybrid system dynamics and agent-based modeling approach

2018 ◽  
Vol 18 (1) ◽  
pp. 2-19 ◽  
Author(s):  
Mostafa Khanzadi ◽  
Farnad Nasirzadeh ◽  
Mostafa Mir ◽  
Pouya Nojedehi
Keyword(s):  
System Dynamics ◽  
Influencing Factors ◽  
Labor Productivity ◽  
Construction Projects ◽  
Hybrid Simulation ◽  
Simulation Approach ◽  
Content Type ◽  
Factors Affecting ◽  
Agent Based ◽  
Execution Strategy

Purpose The purpose of this paper is to present a hybrid simulation approach for predicting the value of labor productivity taking account of various continuous influencing factors and the interactions between different agents involved in the project. Design/methodology/approach The various continuous factors affecting labor productivity are simulated using system dynamics (SD). The heterogeneity of different agents involved in the project and their interactions is accounted using agent-based modelling (ABM). The developed ABM and SD models are finally integrated to simulate the value of labor productivity taking account of all the influencing factors. Findings The proposed hybrid simulation tool is implemented in a real project to evaluate its perfomance. The value of labor productivity is simulated by taking account of all the influencing factors. The most appropriate execution strategy is then selected using the developed hybrid SD-ABM approach to improve productivity. It is shown that the number of working groups and their movement patterns affect the severity of the groups’ interferences which will in turn affect the value of labor productivity. Practical implications This research helps project managers to predict and improve the value of labor productivity taking account of all the influencing factors. Originality/value It is believed that the proposed hybrid SD-ABM simulation approach offers a novel and robust tool for modeling labor productivity because the effects of various continuous influencing factors and the interactions between different agents are taken into account through the combination of SD and ABM. Many complex problems faced in construction projects involve interacting elements of a different nature, and the integration of SD with ideas from ABM offers potential to combine the strengths of the two methodologies to solve the problem.

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