scholarly journals Exploring determinants of innovation potential of enterprises in Kazakhstan

2021 ◽  
Vol 19 (2) ◽  
pp. 433-443
Author(s):  
Anel Kireyeva ◽  
Akan Nurbatsin ◽  
Aigerim Yessentay ◽  
Nazyken Bagayeva ◽  
Sharbanu Turdalina
Keyword(s):  
Management Strategy ◽  
Economic Recession ◽  
Positive Influence ◽  
Innovation Activity ◽  
Effective Management ◽  
Ministry Of Education ◽  
Innovation Potential ◽  
Type Size ◽  
The Republic ◽  
Random Survey

The study aims to analyze the innovation potential of enterprises, explain the use of the binary regression methodology, and explore different indicators of the enterprises in the regions of Kazakhstan for building an effective management strategy. Methodological substantiation is based on the complex survey data analysis, provided by the World Bank Enterprises Survey (WBES) for Kazakhstan. WBES database has covered a sociological survey of enterprises, which was conducted using a random survey and representativeness among 1,296 enterprises, mainly in the production sector. Besides, the data were collected among companies regarding their experience in environmental perception (including innovation activity), in which they worked. The results have demonstrated that the age of the company, exporter status, type, sector, or activity – all these have a positive influence on the company’s tendency to innovations. However, as part of the study, it has found out that competitors in the marketplace and regions of activity of enterprises predominantly negatively affect the prospects of introducing innovation. It was also in evidence that the same factors (foreign ownership, advanced training, type, size, and sector of an enterprise) are essential determinants of product, technology, R&D, ICT, and innovation. Obtained results can be used by enterprises for building an effective management strategy of own business innovative development, as well as by local authorities to upgrade the competitive performance. AcknowledgmentsThis study has been funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant “Priorities and mechanisms of inclusive regional development of Kazakhstan in the context of overcoming the economic recession” No. AP09259004).

scholarly journals Innovative potential of Akmola region: problems and prospects of effective development

2020 ◽  
Vol 4 (78) ◽  
pp. 137-142
Author(s):  
G. A. AKZHANOVA ◽  
◽  
G. A. SHMARLOUSKAYA ◽  
Keyword(s):  
Innovation Activity ◽  
Gross Regional Product ◽  
Regional Innovation ◽  
Innovation Potential ◽  
Current State ◽  
Northern Regions ◽  
Innovative Potential ◽  
The Republic ◽  
Effective Development ◽  
Regional Product

The article considers the terms “innovation potential”, “regional innovation potential”, and the state of innovation potential. The purpose of this article is to determine the current state and prospects for the development of the innovative potential of the Akmola region. The research methodology consists in systematization of innovative indicators of the region by comparison and economic and statistical groupings. The analysis of the formation of the innovative potential of the region on the example of the Northern regions of the Republic of Kazakhstan is carried out. In particular, the dynamics of the gross regional product and innovation activity in the Akmola region is presented.

scholarly journals Variability of morphometric indicators of honey bees bred in Almaty region

2021 ◽  
Author(s):  
U.A. Nuralieva ◽  
A.A. Baisabyrova ◽  
G.A. Moldakhmetova ◽  
K.A. Temirbayeva ◽  
R.Zh. Shimelkova ◽  
...  
Keyword(s):  
Honey Bees ◽  
Selection Process ◽  
Research Work ◽  
Effective Management ◽  
Ministry Of Education ◽  
Average Value ◽  
The Republic ◽  
Efficiency Of Selection ◽  
Bee Colonies ◽  
Selection Of

One of the ways to intensify the production of beekeeping products is selection. Bee breeding is not only one of the most important methods, but also the most economically efficient way to increase the productivity of bee colonies. Thus, the selection of bees and the implementation of its achievements into production are one of the most important and most effective directions for intensifying beekeeping. Research work was carried out under the project of program-targeted financing of the Ministry of Education and Science of the Republic of Kazakhstan on the topic "Development of technologies for effective management of the selection process in beekeeping." This article examines the characteristics of the morphometric indicators of honeybees in the Almaty region of the Republic of Kazakhstan. The material for the research was the specimens of worker bees from apiaries located in the Almaty region of the Devochkin farm, Panov farm, Kalinin Individual Entrepreneur, Adilgazy Individual Entrepreneur, Kashkimbaev farm. To carry out the study according to the method of A.B. Kartashev, 35 samples of bees were worked out. Changes in the parameters of the wings, including the cubital and dumbbell index, discoidal displacement by bee species: Central Russian, Carpathian, Italian and Carniolian honey bee, are considered. It was found that in Kalinin’s apiary morphometric indicators for the cubital index, the average value was 2,787%. As a result, the morphometric indices for the cubital index in bees of the IP Kalinin bee were 2.777%. Whereas in other farms, the average value was significantly lower for all indicators. Accordingly, the percentage of the cubital index was 7.42-17.36%, the dumbbell index was 6.77-11.81%, and the discoidal displacement was 32.91-47.37%. According to all indicators, it is clear that the Kalinin Individual Entrepreneur’s bee farm is superior to other bee farms in terms of morphometric data. This is due to the isolation of the beekeeping and out of reach of other bees, thus ensuring a low level of hybridization. The considered analysis of the species belonging to the entire apiary, as well as economically useful features, can significantly increase the efficiency of selection work in beekeeping.

scholarly journals ON IMPROVEMENT OF INNOVATIVE ACTIVITY OF THE OIL AND GAS INDUSTRY OF AZERBAIJAN

2021 ◽  
Vol 11 (01) ◽  
pp. 04-10
Author(s):  
Arzu Mirheydarova Arzu Mirheydarova
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Innovative Activity ◽  
Innovation Activity ◽  
Innovation Development ◽  
Gas Industry ◽  
Innovation Potential ◽  
Flow Capacity ◽  
Bottom Hole ◽  
The Republic

This article examines the theoretical basis of innovation, studied the peculiarities of formation of innovation development in the Republic of Azerbaijan. In addition we analyze the innovation activity in the oil and gas industry of the Republic, and summarizes the features of the innovative activities of the industry. In the end, developed a number of conclusions and proposals for improvement of innovative activity, as studied in the industry and the whole economy. In the article above information about the formation and development of innovation progress in Azerbaijan Republic is given. Furthermore, the potential of oil industry’s innovation is analyzed. Keyword: innovation potential, productive innovation, efficiency of methods of influence on the formation bottom-hole zone wells, flow capacity

scholarly journals SCIENTIFIC JUSTIFICATION OF THE PROCESS OF DIGITAL TRANSFORMATION OF ENTERPRISES

2021 ◽  
Author(s):  
Н.А. Курманов ◽  
А.Е. Рахимбекова ◽  
А.К. Маралов ◽  
N. Kurmanov ◽  
A. Rakhimbekova ◽  
...  
Keyword(s):  
Computer Literacy ◽  
Web Of Science ◽  
Digital Transformation ◽  
Entrepreneurial Activity ◽  
The Internet ◽  
Ministry Of Education ◽  
Goods And Services ◽  
Innovation Potential ◽  
Information And Communication ◽  
The Republic

В статье на основе использования современных научных методов: библиометрического анализ, контент-анализа содержания публикаций из баз данных Scopus и Web of Science, методологии формирования эго-сети, - дана трактовка понятий «цифровая экономика», «цифровая трансформация».Выявлены факторы и показатели, непосредственно влияющие на степень готовности предприятий к цифровой трансформации: 1) Состояние информационно-коммуникационной инфраструктуры: доля организаций, использующих доступ к сети Интернет; удельный вес домохозяйств, имеющих доступ к сети Интернет; удельный вес пользователей Интернет, осуществляющих заказ товаров и услуг через сеть Интернет; доля работников, занятых на дистанционной работе. 2) Человеческий капитал: доля работников информационной сферы в общей численности занятых; доля занятого населения с высшим образованием; уровень компьютерной грамотности населения; доля студентов в численности населения. 3) Предпринимательская активность: число малых (включая микро) предприятий; объем оказанных услуг; валовый выпуск малых (включая микро) предприятий сферы услуг. 4) Инновационный потенциал: уровень инновационной активности предприятий по технологическим инновациям. 5) Доступ к глобальным рынкам: объем экспорта услуг. 6) Внутренний спрос: объем внутреннего потребления услуг. In the article, based on the use of modern scientific methods: bibliometric analysis, content analysis of the content of publications from Scopus and Web of Science databases, methodology for the formation of an ego network, an interpretation of the concepts of "digital economy", "digital transformation" is given. The factors and indicators that directly affect the degree of readiness of enterprises for digital transformation were identified: 1) The state of the information and communication infrastructure: the proportion of organizations using access to the Internet; the proportion of households with access to the Internet; the proportion of Internet users who order goods and services via the Internet; the proportion of workers employed in telecommuting. 2) Human capital: the share of information workers in the total number of employees; share of the employed population with higher education; the level of computer literacy of the population; the proportion of students in the population. 3) Entrepreneurial activity: number of small (including micro) enterprises; volume of services provided; gross output of small (including micro) service enterprises. 4) Innovation potential: the level of innovative activity of enterprises in technological innovation; the total cost of information and communication technology; the volume of manufactured innovative products. 5) Access to global markets: the volume of exports of services. 6) Domestic demand: the volume of domestic consumption of services.This work was sup[1]ported by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan [grant number AP08856113].

Improving the methods of assessing the innovation activity of the regions of the Republic of Kazakhstan

2021 ◽  
Author(s):  
Ә.Е. Төлепов ◽  
A. Tolepov
Keyword(s):  
Regional Level ◽  
Innovation Activity ◽  
Regional Innovation ◽  
The West ◽  
Analysis And Evaluation ◽  
Innovation Potential ◽  
Methods Of Analysis ◽  
The Republic ◽  
West Kazakhstan ◽  
Innovation Economy

Мақалада Қазақстан Республикасы (бұдан әрі - ҚР) аймақтарының инновациялық экономикасының және инновациялық қызметінің дамуын талдау және бағалаудың ерекшеліктері мен әдістері қарастырылды. Аймақтың инновациялық әлеуеті, инновацияларды қабылдау қабілеті ұғымдарының анықтамалары берілді. Жалпы мемлекет экономикасының үдемелі дамуындағы инновациялық экономика мен инновациялық қызметті дамытудың маңыздылығы анықталды. Аймақтық инновациялық экономиканың дамуы мәселелерімен айналысатын экономистер мен зерттеуші-ғалымдардың еңбектері зерделенді. Әр түрлі шетелдік және Қазақстандық әдебиет көздерінде көрсетілген инновациялық қызметті талдау және бағалаудың әдістер тобы жинақталды. Батыс Қазақстан аймағының инновациялық экономикасы дамуының, оның ішінде, инновациялық әлеуеті мен қабылдау қабілеті көрсеткіштері жүйеленіп, талдау жүргізілді. Автормен инновациялық экономиканың негізгі көрсеткіштерін есептеуге арналған арнайы формулалар ұсынылды. Берілген формулалар арқылы есептеу алгоритмін сақтай отырып, белгілі әдістеме бойынша есептеу жұмыстары жүргізілді. Есептеулердің қорытындысы бойынша соңғы жылдардағы Батыс Қазақстан аймағының (оның ішінде Ақтөбе, Атырау, Батыс Қазақстан және Маңғыстау облыстары бойынша) инновациялық қызметінің дамуы бағаланып, негізгі мәселелері анықталды. Инновациялық қызметті аймақтық деңгейде бағалаудың әдісі, қосымша критерийлері және анықталған мәселелерді жетілдіру жолдары ұсынылды. Сонымен қатар, аймақтық деңгейде инновациялық экономиканың дамуына әсер етуші негізгі факторлар анықталды. Зерттеу барысында алынған нәтижелердің болашақта мемлекет аймақтарының инновациялық экономикасының дамуын талдау мен бағалау кезінде қолдану мүмкіншіліктері туралы болжам жасалды. Мақала соңында жүргізілген зерттеу жұмысы пысықталып, негізгі мәселелер бойынша қорытынды жасалды. The article considers the features and methods of analysis and evaluation of the development of the innovation economy and innovation activity of the regions of Kazakhstan. The definitions of the concepts of innovative potential of the region and innovative receptivity are given. The importance of the development of the innovation economy and innovation activity in the development of the state economy as a whole is determined. The works of economists and research scientists dealing with the problems of regional innovation economy development are studied. Groups of methods of analysis and evaluation of innovation activity, reflected in various foreign and Kazakh literature sources, are classified. The indicators of the development of the innovation economy of the West Kazakhstan region, including the innovation potential and innovation susceptibility, are systematized and analyzed. The formulas developed by the author for calculating the main indicators of the innovation economy are proposed. Based on the results of the calculations, the main problems of the development of innovative activity in the West Kazakhstan region in recent years were evaluated and identified. An improved method for assessing innovation activity at the regional level, additional criteria and ways to improve the identified problems are proposed. In addition, the main factors influencing the development of the innovation economy at the regional level are identified. At the end of the article, conclusions were drawn on the main problems of the topic under study.

scholarly journals EVALUATION OF INNOVATION CAPACITY RESOURCE COMPONENTS IN EFFECTIVE MANAGEMENT OF RECREATIONAL CLUSTERS ON THE BASIS OF ECONOMETRIC ANALYSIS

2020 ◽  
pp. 131-137 ◽  
Author(s):  
Mirzaev Abdullajon Topilovich
Keyword(s):  
Theoretical Study ◽  
Theoretical Research ◽  
Effective Management ◽  
Factors Affecting ◽  
Innovation Potential ◽  
Tourism Sector ◽  
Innovation Capacity ◽  
Rapid Pace ◽  
The Republic

The article examines the methodology for assessing the resource component of the innovation potential of clusters in the field of recreational tourism, which in recent years has been able to develop the national economy at a rapid pace. In the process of the research, developed the authorship definition on the basis of a theoretical study of the terms “innovation potential of the tourist recreation subject (TRS)” and “innovation potential of the tourist recreation clusters (TRK)”, which are considered the main link of the tourist recreation cluster. The method of assessing the resource component of the innovation capacity of the clusters in the recreational tourism sector was improved by using a model based on the modified production function of Cobb-Douglas as a research innovation. Theoretical research is based on the determination of the forecast indicators for the year 2022 in the Republic of Uzbekistan through the econometric model in the linkage of factors affecting the volume of recreation services rendered for 2013-2019 years. KEYWORDS: tourism, recreational tourism,

ANALYSIS OF INNOVATION ACTIVITIES OF ENTERPRISES OF KAZAKHSTAN

2020 ◽  
Vol 384 (2) ◽  
pp. 137-145
Author(s):  
Zh. Abylkassimova ◽  
G. Orynbekova ◽  
М. Alibayeva ◽  
O. Osadchaya
Keyword(s):  
Key Words ◽  
Added Value ◽  
Human Potential ◽  
Innovation Activity ◽  
Factors Affecting ◽  
Innovation Potential ◽  
Innovation Activities ◽  
Innovation Economy

The article noted that the development of the innovation potential of enterprises in the regions of Kazakhstan contributes to the transition of the innovation economy, where goods with high added value will be produced. The article examines the factors affecting the innovation activity of the regions, considers the dynamics of innovation activity and identifies problems and tools for the development of innovative entrepreneurship. Key words: innovation, innovation activity, region, industrialization, human potential, infrastructure

386 An Exploratory Study of Bedtime Procrastination and Emotional Regulation Strategies in Insomnia compared to healthy individuals

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A153-A153
Author(s):  
Goeun Kim ◽  
Hyojin Nam ◽  
Huisu Jeon ◽  
Sooyeon Suh
Keyword(s):  
Emotional Regulation ◽  
Severity Index ◽  
Ministry Of Education ◽  
Chi Square ◽  
Healthy Group ◽  
Significant Difference ◽  
Regulation Strategies ◽  
The Difference ◽  
The Republic ◽  
Bedtime Procrastination

Abstract Introduction Bedtime Procrastination (BP) is defined as the behavior of voluntarily delaying going to bed, without having external reasons for doing so. Recent research on procrastination behavior suggests that when negative emotions are elevated, procrastination behaviors can be triggered in order to find pleasure to avoid and alleviate them. Procrastination can also occur when there is difficulty regulating emotions. In addition, the reason for bedtime procrastination may be different depending on whether the individuals present with insomnia. According to previous studies, patients with insomnia may exhibit more pronounced negative avoidance of bedtime due to prolonged sleeplessness. Therefore, this study compared the difference between of the bedtime procrastination and the emotional regulation strategies between the insomnia group and the healthy group. Methods This study was conducted in 582 adults (mean age 23.06 ±2.16 years), 81.6% females. Individuals scoring higher than 15 on the Insomnia Severity Index (ISI) were classified into the insomnia group (n=375), and those less than 15 were classified into the healthy group (n=207). Participants completed the Bedtime Procrastination Scale (BPS), Emotional Regulation Strategies Checklist. Data was analyzed using descriptive statistics, chi square test, and independent t tests. Results The insomnia group had significantly higher bedtime procrastination scores than the healthy group (t=-6.241, p<.001), and also the avoidant/distractive regulation style score was significantly higher (t=-1.969, p<.05). In addition, the score of active regulation style was significantly lower in the insomnia group than in the healthy group (t=3.050, p<.01). There was no significant difference between the two groups in the support-seeking regulation style. Conclusion Based on these results, it was confirmed that there was a difference in the bedtime procrastination and the emotional regulation strategies between the insomnia group and the healthy group. Support (if any) This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2018S1A5A8026807)

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