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An Empirical Evidence on Consumer Preferences of Compact Automobiles in Uzbekistan
Mirzaev Numon,고윤호,신호균 한국로고스경영학회 2019 로고스경영연구 Vol.17 No.3
Most consumers tend to evaluate the key attributes of a product as a whole, rather than independently. The consumers act in the similar fashion when they go to buy an automobile. Therefore, conjoint analysis is very useful for car manufacturers to understand intentions of consumers. Based on previous studies on conjoint analysis and consultations with the specialists who are familiar with Uzbekistan car market, this study decided to conduct the research applying six attributes such as model, safety, color, price, fuel efficiency and maintenance cost satisfaction and their nineteen relative levels. Further, respondents sorted out to four social-economic groups such as age, gender, education level and monthly income. Survey conducted among 800 respondents who live in four cities with biggest population such as Tashkent, Samarkand, Namangan and Andijan. The research selected those people as respondents that had plans to purchase car models in the future or who had an experience to own one of these models. SPSS Statistics 22 package was used to analyze the collected data to reveal the results of Conjoint Analysis. According to the findings, price was found to be the most important attribute for consumers during their compact car purchase. The price is followed by fuel efficiency and safety attributes. Maintenance cost, model and colour attributes were least preferred attributes by respondents. This study is useful as a reference for marketers of compact car manufacturers who currently work and manufacturers have purposes to invest, launch vehicles and increase their car sales and enlarge their consumer market in Uzbekistan.
Reorganization of an enterprise management structure in market economy conditions
Mirzaev F.R. 대한전자공학회 2008 ICEIC:International Conference on Electronics, Inf Vol.1 No.1
This article is devoted to the classification, forms and types of restructure of an enterprise in market economy conditions as a factor of increase of labol productivity
The efficiency of use of information technologies
Mirzaev F.R. Uarazimbetova R.S 대한전자공학회 2008 ICEIC:International Conference on Electronics, Inf Vol.1 No.1
Country are given.In the given work are given development? A role and place of information technologies and also some statements about efficiency of use of information technologies in national economy to the country are
A Study on Uzbekistan-Korean Economic Cooperation: Auto Industry Oriented
Abdulaziz Mirzaev,이건희 한국경영컨설팅학회 2012 경영컨설팅연구 Vol.12 No.3
The research purpose is to analyze and understand the modern economic cooperation between the Republic of Uzbekistan and the Republic of Korea. In this research it is analysed that overall recent situations related to bilateral economic efforts in the area of industry, science, and technology between Uzbekistan and Korea. To narrow the research scope down to a specific industry, the auto industry was chosen for the reason of its spillover effect to other industries and path dependent characteristics. Methodological framework is based on first and secondary data and normative-legal documents regulating the foreign economic policy of the Uzbek economic entities; bilateral intergovernmental agreements between Uzbekistan and Korea in the fields of trade, production, technical and scientific cooperation; the proceedings of the leaders of states, and academic literatures on the issues related to the research as well as official statistics. From the research, it is concluded that the industry utilizing affluent mineral resources of Uzbekistan is one of the prominent cooperation area for Korea and advance management system and quality control of auto industry becomes an important filed for future economic cooperation.
Algorithm for person identification by facial images
Fazilov Sh. Kh.,Mirzaev N. M.,Radjabov S. S. 대한전자공학회 2008 ICEIC:International Conference on Electronics, Inf Vol.1 No.1
a new algorithm for person identification by facial images is proposed in this paper. This algorithm is based on the method of face clustering. Algorithm has five stages: face localization, extracting of central part of a face, clustering, extraction of characteristic features and identification. Algorithm was tested with different test data and results of experiments show that proposed algorithm has advantages on other well-known methods in speed and accuracy.