IMPACT OF ECOLOGICAL INNOVATIONS ON CONSUMERS’ PREFERENCES (RUSSIAN CAR MARKET AS A CASE STUDY)

2017 ◽  
Vol 3 (64) ◽  
pp. 96-109 ◽  
Author(s):  
S.G. Bozhuk ◽  
◽  
N.A. Pletneva ◽  
K.V. Evdokimov ◽  
◽  
...  
Keyword(s):  
Car Market

An Integrated Data Mining and Simulation Solution

2010 ◽  
pp. 929-948
Author(s):  
Mouhib Alnoukari ◽  
Asim El Sheikh ◽  
Zaidoun Alzoabi
Keyword(s):  
Data Mining ◽  
Fuzzy Inference ◽  
Decision Support Tools ◽  
Market Demand ◽  
Inference System ◽  
Car Market ◽  
Neuro Fuzzy ◽  
Support Tools ◽  
Quality In Higher Education

Simulation and data mining can provide managers with decision support tools. However, the heart of data mining is knowledge discovery; as it enables skilled practitioners with the power to discover relevant objects and the relationships that exist between these objects, while simulation provides a vehicle to represent those objects and their relationships. In this chapter, the authors will propose an intelligent DSS framework based on data mining and simulation integration. The main output of this framework is the increase of knowledge. Two case studies will be presented, the first one on car market demand simulation. The simulation model was built using neural networks to get the first set of prediction results. Data mining methodology used named ANFIS (Adaptive Neuro-Fuzzy Inference System). The second case study will demonstrate how applying data mining and simulation in assuring quality in higher education

An Integrated Data Mining and Simulation Solution

2010 ◽  
pp. 359-378 ◽  
Author(s):  
Mouhib Alnoukari ◽  
Asim El Sheikh ◽  
Zaidoun Alzoabi
Keyword(s):  
Data Mining ◽  
Fuzzy Inference ◽  
Decision Support Tools ◽  
Market Demand ◽  
Inference System ◽  
Car Market ◽  
Neuro Fuzzy ◽  
Support Tools ◽  
Quality In Higher Education

Simulation and data mining can provide managers with decision support tools. However, the heart of data mining is knowledge discovery; as it enables skilled practitioners with the power to discover relevant objects and the relationships that exist between these objects, while simulation provides a vehicle to represent those objects and their relationships. In this chapter, the authors will propose an intelligent DSS framework based on data mining and simulation integration. The main output of this framework is the increase of knowledge. Two case studies will be presented, the first one on car market demand simulation. The simulation model was built using neural networks to get the first set of prediction results. Data mining methodology used named ANFIS (Adaptive Neuro-Fuzzy Inference System). The second case study will demonstrate how applying data mining and simulation in assuring quality in higher education

scholarly journals Design of the top tether component for the premium car market segment: Case study of Volvo Cars

Procedia CIRP ◽  
2020 ◽  
Vol 91 ◽  
pp. 146-151
Author(s):  
Kostas Stylidis ◽  
Elias Al-Saidi ◽  
Arun Thomas Erinjery ◽  
Lars Lindkvist ◽  
Casper Wickman ◽  
...  
Keyword(s):  
Market Segment ◽  
Car Market ◽  
Volvo Cars

scholarly journals The Impact of Carsharing on Transport in the City. Case Study of Tri-City in Poland

2021 ◽  
Vol 13 (2) ◽  
pp. 688
Author(s):  
Tomasz Neumann
Keyword(s):  
Rapid Development ◽  
Extended Period ◽  
Urban Transport ◽  
Cognitive Content ◽  
Car Market ◽  
History Of ◽  
The Impact ◽  
The City

The work on the impact of innovative solutions in urban transport on the inhabitants’ quality of life was discussed. This paper presents the characteristics of the use of shared vehicles in the agglomeration, based on the example of the Tri-City. An analysis of vehicles’ use in given periods of time was performed, indicating the growing interest in using this type of transport in the city. The work was divided into four chapters. The first part concerns the history of travel and urban development. The second discusses all currently available communication solutions in cities. The third chapter contains the research part. It focuses on presenting changes in vehicle availability over a more extended period. The fourth chapter describes the functioning of cars “for minutes” and the operation and use of dedicated mobile applications. The work ended with a summary of theoretical and cognitive content. A significant contribution is a brief analysis of the shared car market in the Tri-City. The available options are characterized. Also, the degree of use has been analyzed. The study concluded with theses about the further rapid development of this industry in northern Poland.

scholarly journals Factors affecting consumers purchase decision: A case study in car market in Ho Chi Minh City

2022 ◽  
Author(s):  
Le Thanh Tung
Keyword(s):  
Factor Analysis ◽  
Positive Impact ◽  
Practical Significance ◽  
Ho Chi Minh City ◽  
Purchase Decision ◽  
Factors Affecting ◽  
Car Market ◽  
Safety Features ◽  
Random Survey

This paper aims to examine the factors affecting purchase decision cars of consumers to enable car manufacturers to find out the possible vulnerability between the expectations of customers and products on the market. The research uses a random survey with a group of 271 consumers in Ho Chi Minh City. Results of factor analysis and regression show that three factors including: safety features, reliability and resale value actually have positive impact on the purchasing decision automobiles consumer. On the practical significance, the study proposes some solutions to help manufacturers and distributors offering reasonable policies in order to improve sales, profits, expanding markets in Vietnam. Besides, the study also has some limitations, so the next study should be expanded and further research to be able to explain more of the factors affecting purchase decision cars of consumers.

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