scholarly journals Competition Equilibrium Analysis of China’s Luxury Car Market Based on Three-Dimensional Grey Lotka–Volterra Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xiao-Lan Wu ◽  
Sheng-Yuan Wang ◽  
Ya-Zhen Liu ◽  
Jing Liang ◽  
Xin Yu
Keyword(s):  
System Analysis ◽  
Market Competition ◽  
Three Dimensional ◽  
Original Data ◽  
Equilibrium Analysis ◽  
Volterra Model ◽  
Competitive Situation ◽  
Simulation Accuracy ◽  
Balanced Development ◽  
Depth Analysis

An enterprise must be able to conduct in-depth analysis of the existing data as the information has certain grey characteristics, if it wants to occupy a dominant position in the fierce market competition. In this paper, a compound three-dimensional grey Lotka–Volterra model is developed to carry out the grey transformation of the original data, so that the data can have better simulation accuracy, and the observation noise of the original data can be reduced. The competitive situation analysis based on the three-dimensional grey Lotka–Volterra model can help enterprises better understand the market situation. This paper takes the luxury brand automobile market in mainland China as an example to conduct a competitive analysis and a balanced development simulation. It can be found that, based on Three Species System Analysis, there is a symbiotic relationship among automobile enterprises and that the three species model can be adopted in analyzing the competition and cooperation among enterprises. Through balanced development of a Symbiotic System Analysis, the results of symbiotic optimization under the achievable equilibrium state of three populations are obtained and they show that the proposed method can be used effectively to conduct the market competition analysis. It is thus of great importance to study the relationships among enterprises as it is helpful for enterprises to make strategic policies.

scholarly journals Competition Analysis on Industry Populations Based on a Three-Dimensional Lotka–Volterra Model

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Sheng-Yuan Wang ◽  
Wan-Ming Chen ◽  
Xiao-Lan Wu
Keyword(s):  
Empirical Analysis ◽  
Three Dimensional ◽  
Population Based ◽  
Volterra Model ◽  
Two Dimensional ◽  
Symbiotic System ◽  
Competition Analysis ◽  
Balanced Development ◽  
Cooperative Action ◽  
Industry Competition

The classical Lotka–Volterra model is mainly a two-dimensional configuration. The two-dimensional form limits the application scenarios of the Lotka–Volterra model. The research objective of this paper is to develop a feasible three population equilibrium model to analyze the industry competition. In order to expand the Lotka–Volterra model to empirical analysis, this paper proposes a symbiosis model of enterprise population based on a three-dimensional Lotka–Volterra model. This paper analyzes the symbiotic system from two aspects: the balanced development of three species and the competitive evolution of the three species, taking the sales volume of three local automobile enterprises in China as the sample for empirical analysis. The symbiotic optimization under the equilibrium state of three populations indicates that there is the possibility of equilibrium and reciprocity in the growth of three automobile product populations. The empirical analysis fully explains the feasibility of this research paradigm. The analysis of competition evolution shows that cooperative action is better than competitive strategy and that comprehensive cooperation is the ideal state of a three-population symbiotic system.

scholarly journals Spatiotemporal Analysis of COVID-19 Spread with Emerging Hotspot Analysis and Space–Time Cube Models in East Java, Indonesia

2021 ◽  
Vol 10 (3) ◽  
pp. 133
Author(s):  
Purwanto Purwanto ◽  
Sugeng Utaya ◽  
Budi Handoyo ◽  
Syamsul Bachri ◽  
Ike Sari Astuti ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Distribution Patterns ◽  
Spatiotemporal Analysis ◽  
Space Time ◽  
Road Density ◽  
Hotspot Analysis ◽  
Spatiotemporal Information ◽  
Depth Analysis ◽  
Analysis Models ◽  
Oscillating Patterns

In this research, we analyzed COVID-19 distribution patterns based on hotspots and space–time cubes (STC) in East Java, Indonesia. The data were collected based on the East Java COVID-19 Radar report results from a four-month period, namely March, April, May, and June 2020. Hour, day, and date information were used as the basis of the analysis. We used two spatial analysis models: the emerging hotspot analysis and STC. Both techniques allow us to identify the hotspot cluster temporally. Three-dimensional visualizations can be used to determine the direction of spread of COVID-19 hotspots. The results showed that the spread of COVID-19 throughout East Java was centered in Surabaya, then mostly spread towards suburban areas and other cities. An emerging hotspot analysis was carried out to identify the patterns of COVID-19 hotspots in each bin. Both cities featured oscillating patterns and sporadic hotspots that accumulated over four months. This pattern indicates that newly infected patients always follow the recovery of previous COVID-19 patients and that the increase in the number of positive patients is higher when compared to patients who recover. The monthly hotspot analysis results yielded detailed COVID-19 spatiotemporal information and facilitated more in-depth analysis of events and policies in each location/time bin. The COVID-19 hotspot pattern in East Java, visually speaking, has an amoeba-like pattern. Many positive cases tend to be close to the city, in places with high road density, near trade and business facilities, financial storage, transportation, entertainment, and food venues. Determining the spatial and temporal resolution for the STC model is crucial because it affects the level of detail for the information of endemic disease distribution and is important for the emerging hotspot analysis results. We believe that similar research is still rare in Indonesia, although it has been done elsewhere, in different contexts and focuses.

Research on Applied-Information Technology with Application of Data Mining in Analysis of Consumer Behavior

2014 ◽  
Vol 1003 ◽  
pp. 230-234
Author(s):  
Feng Long Fan ◽  
Xu Li ◽  
Xu Sheng Yu ◽  
Li Wang
Keyword(s):  
Computer Technology ◽  
System Analysis ◽  
Computer Network ◽  
Rapid Development ◽  
Daily Consumption ◽  
School Students ◽  
Customer Data ◽  
Advantages And Disadvantages ◽  
Depth Analysis ◽  
Database Technology

With the development of computer technology, especially the rapid development and extensive application of database technology and computer network technology, the data quantity increases sharply, the accumulation of a large number of data in various fields, and rising fast. Enterprise database or data warehouse has stored a large number of customer data, these data include many aspects of the information of customers, but also contains the advantages and disadvantages of the enterprise operation. If we can use these data quickly, efficiently in-depth analysis and research, to find the rules and modes, to obtain the necessary knowledge from it, will help enterprises to better decision making. The system can successfully excavate students and staff of the tendency of consumption and consumption habits, analyze their satisfaction with each restaurant. The results of system analysis to a certain role for school students and teachers to understand and analyze the condition of daily consumption, so the establishment of this system has great practical value.

scholarly journals The International Competitive Relationships of Three Leading Countries in the Global Shipbuilding Industry

2018 ◽  
Vol 33 (3) ◽  
pp. 73-91
Author(s):  
Hwang Inyoung ◽  
Park J. Hun
Keyword(s):  
Financial Crisis ◽  
South Korea ◽  
Competitive Advantage ◽  
Global Financial Crisis ◽  
Three Dimensional ◽  
Volterra Model ◽  
Annual Data ◽  
Competitive System ◽  
Shipbuilding Industry ◽  
Mutualistic Relationship

South Korea, China, and Japan are three dominant countries in the global shipbuilding industry, and the competition between them has become more complex over time. The International Maritime Organization environmental regulations and the wave of Industry 4.0 have made the global shipbuilding industry more technology intensive than before. However, after the financial crisis of 2008, China’s labor-intensive strategy outperformed the technology-intensive competitive strategy adopted by Japan and South Korea, and China was ranked first with the largest market share. This study sets out to explore whether China’s labor-intensive strategy will remain superior to the technology-intensive one of Japan and South Korea. Specifically, we investigate how competitive relationships between the three countries changed after the 2008 global financial crisis. We also forecast how many ships each country will complete in through 2026. To analyze this dynamic competitive system, we use the three-dimensional Lotka-Volterra model, drawing on annual data reporting the number of ships built. The findings suggest that China has gained a competitive advantage over Japan since the 2008 global financial crisis, while South Korea has maintained a mutualistic relationship with both Japan and China. Our forecast suggests that China may lose its competitive advantage in the near future, if China does not embrace a more technology-intensive approach.

scholarly journals The Influence of the Dimensions of Service Quality on Customer Satisfaction at Hotels in Batu City, Indonesia

2017 ◽  
Vol 2 (3) ◽  
pp. 67-72
Author(s):  
Ludfi Djajanto
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Market Competition ◽  
Linear Regression Analysis ◽  
Original Data ◽  
Multiple Linear Regression Analysis ◽  
Jel Classification ◽  
Dominant Dimension ◽  
Analysis Technique

Objective - The number of hotels in both urban or in tourism areas has increased quite rapidly. The success and sustainability of hotel businesses is largely determined by their marketing strategy and the quality of services they provide to their customers. In choosing a hotel, customers consider both the physical appearance of the hotel as well as the quality of service provided. The rapid increase in hotels in Indonesia necessarily increases competition in the hotel industry and the rules surrounding market competition become quite strict. The aim of this research is to determine the influence of the dimensions of service quality (tangibility, reliability, responsiveness, assurance, and empathy) on customer satisfaction and to identify the most dominant dimension in terms of customer satisfaction. Methodology/Technique - The research studied 110 respondents who have stayed in several hotels located in Batu, Indonesia. The data was collected using purposive sampling techniques using questionnaires. The data analysis technique used in this research was multiple linear regression analysis. Findings – Based on the results of this research, it is concluded that the dimensions of service quality (tangibility, reliability, responsiveness, assurance, empathy) have a significant influence on customer satisfaction. In addition, the service quality dimension that has the most dominant influence on customer satisfaction is assurance. Novelty - The research supported by original data and contribute to the literature in the context of Indonesia. Type of Paper - Empirical Keywords: Service Quality; Tangibility; Reliability; Responsiveness; Assurance; Empathy; Customer Satisfaction. JEL Classification: L15, M10, M30.

scholarly journals Evolution of environmental management concepts in terms of global environmental challenges

2019 ◽  
Keyword(s):  
Sustainable Development ◽  
Natural Resources ◽  
System Analysis ◽  
Energy Sources ◽  
Environmental Challenges ◽  
Balanced Development ◽  
Biological Resources ◽  
Global Environmental ◽  
Management Concepts ◽  
The World

The relevance of the study is due to the fact that the economic development of civilization in the 21st century is accompanied by numerous environmental and social challenges that scientists around the world are constantly working on. Technogenic and natural disasters that occur on the planet are associated with climate change, which in turn, a significant number of researchers and world leaders believe is a consequence of economic activity. The subject of research of the article is the concept of sustainable development, which actually includes these three aspects: economic, social and environmental.. The goal is the evolution of the concepts of nature use in the context of global environmental challenges and their practical use in countries around the world. The objective is to research the concept of sustainable ecologically balanced development of the national economy. General scientific methods are used, such as system analysis. The following results were obtained: the transition to sustainable development has led to the emergence of numerous concepts of its implementation in the area of addressing sustainable use of natural resources. The theoretical substantiation of such in terms of the laws of thermodynamics is simply impossible, as well as the invention of "perpetual motion". However, the use of inexhaustible energy sources (such as thermonuclear, solar, geothermal, tidal, etc.) and renewable biological resources (transgenic, cloning, etc.) allows us to talk about the possibility of theoretical justification for sustainable ecologically balanced development. At the same time, relative, since this nature use is possible only within use) of the limits of balance in profit and expenditure (reproduction natural resources). Conclusions: implementation of sustainable development is possible only in the form of sustainable eco-balanced development based on rapidly renewable biological resources and the use of practically inexhaustible energy sources, as well as the use of high technologies. Such development can provide a solution to economic, social and environmental problems with the preservation of the natural complex.

Multi-Criteria Evaluation of Coal Properties in Terms of Gasification

2014 ◽  
Vol 59 (3) ◽  
pp. 677-690 ◽  
Author(s):  
Jolanta Marciniak-Kowalska ◽  
Tomasz Niedoba ◽  
Agnieszka Surowiak ◽  
Tadeusz Tumidajski
Keyword(s):  
Particle Size ◽  
Coal Gasification ◽  
Three Dimensional ◽  
Point Of View ◽  
Gasification Process ◽  
Multi Criteria Evaluation ◽  
Depth Analysis ◽  
Coal Properties ◽  
Induced Changes ◽  
Dimensional Surface

Abstract This paper presents a comparative analysis of two types of coal taken from the ZG Janina and ZG Wieczorek coalmines. The aim of this study has been to analyze the suitability of the coal in the context of the gasification process. The types of coal vary considerably in terms of their characteristics. Each of them was subjected to treatment in a ten-ringed annular jig. A particle size of 0-18 mm constituted the feed. The separated coal was divided into five layers, each of them containing material from two additional annular jigs. Analysis of their characteristics was carried out for each of the five layers and for both types of coal obtained, taking into account both their physicochemical properties as well as chemical ones. Each of these characteristics was then presented in three-dimensional surface diagrams, where the ordinate (or Y-axis) and abscissa (X-axis) was the particle size and height in which the material ended up in the jig (expressed as a percentage of the total height of the device). On the basis of observations, it was found that the types of coal have different potential for gasification, although both types are within the limits specified on the basis of previous studies. A correlation analysis between particle size and remaining characteristics of coal was carried out for each of the layers, allowing to determine which of the studied characteristics induced changes significant from the point of view of the coal gasification process. The entire research and observation was supported by conclusions and findings, which shall form the basis for further, in-depth analysis of coal.

Investigation of Sintering of Spherical Copper Powder by Micro Focus Computed Tomography (μCT) and Synchrotron Tomography

2007 ◽  
Vol 539-543 ◽  
pp. 2657-2662 ◽  
Author(s):  
Michael Nöthe ◽  
Matthias Schulze ◽  
Rainer Grupp ◽  
Bernd Kieback ◽  
A. Haibel
Keyword(s):  
Computed Tomography ◽  
Copper Powder ◽  
Local Density ◽  
Three Dimensional ◽  
Particle Model ◽  
Metal Powders ◽  
Particle Rotation ◽  
Depth Analysis ◽  
Recent Developments ◽  
Interparticle Contacts

The two-particle model describes the approach of particle centres and the growth of the interparticle contacts during sintering of metal powders. Unfortunately the comprehensive description of processes inside of three dimensional specimens must consider the contribution of particle rearrangements. The recent developments of combined micro focus computed tomography (CT) and 3D photogrammetric image analyzing give the opportunity to obtain the experimental data required to overcome the shortcomings of sintering theories based on the two-particle model. The analysis of spherical poly and single crystalline copper powder was performed by CT. In addition a single crystal specimen was analyzed by high resolution synchrotron radiation tomography - a more sophisticated analysis method with very limited availability. The analysis of the 3D tomographic image by photogrammetric image analyzing yielded the positions and radii of all particles and their contact partners as well. A statistical analysis of the retrieved data was performed. The formation and breaking of necks during sintering could be observed. An in-depth analysis of the particle rotation with respect to the coordination number and local density will be presented.

Matrix form of interval multivariable gray model and its application

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandang Guo ◽  
Yaqian Jing ◽  
Bingjun Li
Keyword(s):  
Three Dimensional ◽  
Original Data ◽  
Upper Bounds ◽  
Matrix Form ◽  
Gray Model ◽  
Interval Numbers ◽  
Content Type ◽  
The Matrix ◽  
Number Sequences ◽  
The Difference

PurposeThe purpose of this paper is to make multivariable gray model to be available for the application on interval gray number sequences directly, the matrix form of interval multivariable gray model (IMGM(1,m,k) model) is constructed to simulate and forecast original interval gray number sequences in this paper.Design/methodology/approachFirstly, the interval gray number is regarded as a three-dimensional column vector, and the parameters of multivariable gray model are expressed in matrix form. Based on the dynamic gray action and optimized background value, the interval multivariable gray model is constructed. Finally, two examples and comparisons are carried out to verify the effectiveness of IMGM(1,m,k) model.FindingsThe model is applied to simulate and predict expert value, foreign direct investment, automobile sales and steel output, respectively. The results show that the proposed model has better simulation and prediction performance than another two models.Practical implicationsDue to the uncertainty information and continuous changing of reality, the interval gray numbers are used to characterize full information of original data. And the IMGM(1,m,k) model not only considers the characteristics of parameters changing with time but also takes into account information on lower, middle and upper bounds of interval gray numbers simultaneously to make better suitable for practical application.Originality/valueThe main contribution of this paper is to propose a new interval multivariable gray model, which considers the interaction between the lower, middle and upper bounds of interval numbers and need not to transform interval gray number sequences into real sequences. According to combining different characteristics of each bound of interval gray numbers, the matrix form of interval multivariable gray model is established to simulate and forecast interval gray numbers. In addition, the model introduces dynamic gray action to reflect the changes of parameters over time. Instead of white equation of classic MGM(1,m), the difference equation is directly used to solve the simulated and predicted values.

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