scholarly journals Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors

Energies ◽  
2015 ◽  
Vol 8 (4) ◽  
pp. 3093-3117 ◽  
Author(s):  
Jianchang Lu ◽  
Weiguo Fan ◽  
Ming Meng
Keyword(s):  
Empirical Research ◽  
Decomposition Model ◽  
Model Based ◽  
Productivity Decomposition ◽  
Carbon Productivity

scholarly journals Study of the demand for teambuilding training services in contemporary russian organizations

2019 ◽  
Vol 10 (1) ◽  
pp. 182-198
Author(s):  
D.A. Zverev ◽  
W.A. Stroh
Keyword(s):  
Empirical Research ◽  
Group Dynamics ◽  
Work Groups ◽  
Organizational Psychology ◽  
Expert Survey ◽  
Joint Decision ◽  
Model Based ◽  
Psychological Training ◽  
Psychological Management ◽  
Training Services

In the period 2013—2014, a study was conducted on the market of services for the formation of work groups, taking into account the types of work groups and processes of group dynamics occurring in socio-psychological training. For the basic typology of work groups authors used the Y.M. Zhukov, A.V. Zhuravlev, E.N. Pavlova model. Based on the results of a specially conducted expert survey aimed at identifying the needs of organizations in the formation of work groups, four main types of training for the formation of work groups were identified and characterized, they were named: “Inspiration”, “Challenge”, “Adjusting” and “Joint decision”. As the analysis showed, each type of training is aimed at actualizing certain processes of group dynamics. The survey of the conducted empirical research made it possible to draw a conclusion about the interrelations of the development of the processes of group and socio-psychological management of work groups of various types. The results of this work are unique and can be used for practical purposes to effectively form work groups in organizations. In addition, they represent a methodological value for the training of specialists in the field of management and organizational psychology.

Empirical Research on China's Regional Economic Distribution and Characteristics

2011 ◽  
Vol 204-210 ◽  
pp. 350-353
Author(s):  
Xiao Guang Lu ◽  
Jian Qun Zhu ◽  
Meng Ying Fan
Keyword(s):  
Division Of Labor ◽  
Empirical Research ◽  
Regional Economy ◽  
Census Data ◽  
Jiangsu Province ◽  
Regional Economic ◽  
The Past ◽  
Model Based ◽  
Economic Census ◽  
Economic Regions

According to the second economic census data of Jiangsu Province, this paper firstly uses PCA-HCA model based on provincial cities data to classify economic regions. And then, it uses BLR-HCA model to reclassify the economic regions based on counties data. Finally, it comes to the conclusion that the past regional classification ways of Jiangsu Province need to be updated. The research on regional economy is dynamic and timely, while deepening the division of labor and finance is an effective way to develop Jiangsu’s regional economy.

Empirical Research on Populations of Adaptive Individuals

2020 ◽  
pp. 141-153
Keyword(s):  
Empirical Research ◽  
Empirical Studies ◽  
Theory Development ◽  
Organization Change ◽  
Laboratory Studies ◽  
Design Studies ◽  
Entire Process ◽  
Levels Of Organization ◽  
Model Based ◽  
Multiple Levels

This chapter studies how modeling supports empirical research. The benefit of integrating modeling and empirical research has long been recognized: theorists and modelers pose hypotheses that empirical researchers then design studies to test, and empirical research informs the development of new hypotheses. Such integration may be particularly valuable in frameworks that include multiple levels of organization, from individuals to populations to communities. But does working across levels of organization change the relationships of theory, modeling, and empirical research? What kinds of field and laboratory studies do we need, and at what levels of organization, to support modeling? The chapter assesses these questions. Thinking about the relation between modeling and empirical research requires one to address the entire process of model-based research, which is usefully characterized as a modeling cycle. The chapter then explores how the kind of modeling and theory development presented in this book can contribute to empirical studies and research.

Even FIB Decomposition Model Based on Storage and Traffic Balancing

2017 ◽  
Vol 26 (4) ◽  
pp. 681-687
Author(s):  
Wenlong Chen ◽  
Shuxian Wang ◽  
Xiaolan Tang ◽  
Lijing Lan
Keyword(s):  
Decomposition Model ◽  
Model Based ◽  
Traffic Balancing

An iterative method for tomographic x-ray perfusion estimation in a decomposition model-based approach

2010 ◽  
Vol 37 (12) ◽  
pp. 6125-6141 ◽  
Author(s):  
Christoph Neukirchen ◽  
Marco Giordano ◽  
Steffen Wiesner
Keyword(s):  
Iterative Method ◽  
X Ray ◽  
Decomposition Model ◽  
Model Based
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