The study proposes an evolution of the grant evaluation system from a dual focus on «form and content» to a «content-centric» model to enhance the efficacy and quality of scientific research. This novel approach, intended for incorporation into Kazakhstan’s grant framework, involves a two-tiered examination process – an initial assessment by the National Center for State Scientific and Technical Expertise (NCSTE) followed by a secondary review by the National Scientific Councils (NSC). The rationale behind this shift away from an overemphasis on quantitative and qualitative project details towards a qualitative, semantic, conceptual, and methodological representation is rooted in the constraints of NCSTE/NSC resources and other pertinent factors. We have adopted and tailored the Technology Readiness Level (TRL), Manufacturing Readiness Level (MRL), and Capability Readiness Level (CRL) scaling methodologies for R&D and RNTD activities by devising a novel Scientific Readiness Levels (SRL) methodology. This has resulted in the compilation of SRL scales for fundamental (FRL), applied (ARL), and innovative projects (IRL), bringing economic efficiency to the grant funding evaluation process.
{"title":"Economic efficiency in grant funding evaluations: streamlining knowledge-intensive applications in Kazakhstan","authors":"Yerkebulan Zhumashov, Serik Azambayev, Adilbek Bisenbaev, Assyl Yessenzharov, Kulzhanat Bulatbayeva","doi":"10.21003/ea.v201-07","DOIUrl":"https://doi.org/10.21003/ea.v201-07","url":null,"abstract":"The study proposes an evolution of the grant evaluation system from a dual focus on «form and content» to a «content-centric» model to enhance the efficacy and quality of scientific research. This novel approach, intended for incorporation into Kazakhstan’s grant framework, involves a two-tiered examination process – an initial assessment by the National Center for State Scientific and Technical Expertise (NCSTE) followed by a secondary review by the National Scientific Councils (NSC). The rationale behind this shift away from an overemphasis on quantitative and qualitative project details towards a qualitative, semantic, conceptual, and methodological representation is rooted in the constraints of NCSTE/NSC resources and other pertinent factors. We have adopted and tailored the Technology Readiness Level (TRL), Manufacturing Readiness Level (MRL), and Capability Readiness Level (CRL) scaling methodologies for R&D and RNTD activities by devising a novel Scientific Readiness Levels (SRL) methodology. This has resulted in the compilation of SRL scales for fundamental (FRL), applied (ARL), and innovative projects (IRL), bringing economic efficiency to the grant funding evaluation process.","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135827769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The present research conducts an intricate economic analysis on targeted nutritional interventions for a specific demographic: 60 athlete-schoolchildren between the ages of 11 and 13 in Central Asia. These children are actively engaged in the ethno-intellectual sport of Togyz Kumalak which from an ethnohistorical perspective is a part of the socio-cultural heritage of the nomadic societies of Central Asia. Spanning a timeframe of 12 months, this multi-faceted study was articulated in a three-stage design framework. The initial stage involved a baseline assessment of the children’s nutritional statuses, utilizing anthropometric measurements and dietary recall surveys as empirical tools. Medical experts and biologists collaborated to identify the economic implications of nutrient imbalances that could lead to metabolic disorders and subsequent healthcare costs. The second stage encompassed the formulation and execution of nutritional interventions that were economically vetted for sustainability and impact. These interventions were derived from the baseline data and involved dietary supplementation, counseling, and a well-balanced nutritional regimen designed in consultation with coaches, trainers, and parents. During this stage, economic considerations were central to the discourse as experts across disciplines expounded on the optimal ratio of vital macro- and micronutrients, adequate caloric content, and even distribution of nutrients throughout the day. Such a comprehensive approach to diet structuring amplifies the economic viability by elucidating how a balanced nutritional intake can enhance athletic and intellectual performance, impact competition outcomes positively, and improve post-training recovery – thereby potentially mitigating of long-term healthcare expenditures. The study culminated in a rigorous post-intervention assessment that employed both cost-effectiveness analysis (CEA) and cost-benefit analysis (CBA) methodologies. The results revealed not only a statistically significant improvement in the nutritional statuses of the children but also confirmed the cost-effectiveness and scalability of the interventions implemented. The economic aspects were augmented by metrics that interlinked the immediate benefits of the interventions with broader economic considerations, such as the potential reduction in healthcare-related costs over time. Research contributes profoundly to public health dialogues, offering insights into the optimization of resources to heighten the general well-being and performance, particularly in the specialized arena of ethno-intellectual sports like Togyz Kumalak. It successfully straddles the crossroads of health economics, cultural sports, and public health, emphasizing the potential for integrative approaches in the amelioration and proliferation of community-centered health programs. This multifaceted economic analysis thus serves as a robust model for scalable and economically viable public health strateg
{"title":"Complex economic effects of balanced nutrition for athlete-schoolchildren in ethno-intellectual sports","authors":"Botagoz Akhmetova, Sagdat Sadykov, Valentina Adilova, Khairulla Zhanbekov, Zhanna Akhmadiyeva","doi":"10.21003/ea.v201-08","DOIUrl":"https://doi.org/10.21003/ea.v201-08","url":null,"abstract":"The present research conducts an intricate economic analysis on targeted nutritional interventions for a specific demographic: 60 athlete-schoolchildren between the ages of 11 and 13 in Central Asia. These children are actively engaged in the ethno-intellectual sport of Togyz Kumalak which from an ethnohistorical perspective is a part of the socio-cultural heritage of the nomadic societies of Central Asia. Spanning a timeframe of 12 months, this multi-faceted study was articulated in a three-stage design framework. The initial stage involved a baseline assessment of the children’s nutritional statuses, utilizing anthropometric measurements and dietary recall surveys as empirical tools. Medical experts and biologists collaborated to identify the economic implications of nutrient imbalances that could lead to metabolic disorders and subsequent healthcare costs. The second stage encompassed the formulation and execution of nutritional interventions that were economically vetted for sustainability and impact. These interventions were derived from the baseline data and involved dietary supplementation, counseling, and a well-balanced nutritional regimen designed in consultation with coaches, trainers, and parents. During this stage, economic considerations were central to the discourse as experts across disciplines expounded on the optimal ratio of vital macro- and micronutrients, adequate caloric content, and even distribution of nutrients throughout the day. Such a comprehensive approach to diet structuring amplifies the economic viability by elucidating how a balanced nutritional intake can enhance athletic and intellectual performance, impact competition outcomes positively, and improve post-training recovery – thereby potentially mitigating of long-term healthcare expenditures. The study culminated in a rigorous post-intervention assessment that employed both cost-effectiveness analysis (CEA) and cost-benefit analysis (CBA) methodologies. The results revealed not only a statistically significant improvement in the nutritional statuses of the children but also confirmed the cost-effectiveness and scalability of the interventions implemented. The economic aspects were augmented by metrics that interlinked the immediate benefits of the interventions with broader economic considerations, such as the potential reduction in healthcare-related costs over time. Research contributes profoundly to public health dialogues, offering insights into the optimization of resources to heighten the general well-being and performance, particularly in the specialized arena of ethno-intellectual sports like Togyz Kumalak. It successfully straddles the crossroads of health economics, cultural sports, and public health, emphasizing the potential for integrative approaches in the amelioration and proliferation of community-centered health programs. This multifaceted economic analysis thus serves as a robust model for scalable and economically viable public health strateg","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135827771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This scientific article is devoted to the issues of identifying innovative business models of youth tourism based on two scientific approaches: functional-innovative (customized business model, virtual tourism platform, franchising business model) and holistic (shared tourism platforms, outdoor co-working tourism, organization of youth hostels, mobile karaoke bars and pub for youth, developing tourism programs (including package tours) for social networks, couchsurfing tours for youth, personalized tourism offers for young people, the organization of «combo tours» (combination of several types of tourism), crowdsourcing tourism, organization of tours in the format of «digital nomads», organization of tree tours, transformational tourism, digital tourism, organization of tours with ATVs, mopeds and bicycles). Furthermore, the study was able to identify conceptual business models that describe the specific characteristics and components of the different types of youth tourism: close interaction between tour operator, travel agency and end consumer based on the use of digital solutions; partial involvement of tour operators and travel agencies in the design of the tourist offer or without; involvement of third parties not directly connected with the tourism market; the presence of a large number of intermediaries; pronounced customization of services; participation of the main players in the tourist market of service organizations through intermediaries; organization of trips without physical departure using digital tools; close interaction of individuals in the process of organizing trips based on digital platforms. In the work, a scientometric and content analysis of search queries was conducted to identify important research areas within the framework of the scientific problems considered by the authors (the total amount of information used for the study was 4309 scientific documents; at the same time, the number of search queries processed in Google Trends was 4 units with an average observation period of 5 years); in addition, the distinguishing features of classic and innovative business models, including those related to the tourism business, were identified, a matrix for the correspondence of conceptual and specific business models of youth tourism was created, as well as their distribution according to three selected criteria: the level of formation of tourist interest and personalization, the degree of involvement of the tourist in the process of providing tourist services. It is also important to note that based on the results of the study, a conceptual scheme for the correlation of organizational functions and the formation of structural units and organizational links within a tourism company in the selection of the optimal innovative business model for youth tourism was developed.
{"title":"System characteristics and matrix tools for evaluating innovative business models of youth tourism","authors":"Dinara Mamrayeva, Larissa Tashenova, Meiramgul Ayaganova","doi":"10.21003/ea.v201-06","DOIUrl":"https://doi.org/10.21003/ea.v201-06","url":null,"abstract":"This scientific article is devoted to the issues of identifying innovative business models of youth tourism based on two scientific approaches: functional-innovative (customized business model, virtual tourism platform, franchising business model) and holistic (shared tourism platforms, outdoor co-working tourism, organization of youth hostels, mobile karaoke bars and pub for youth, developing tourism programs (including package tours) for social networks, couchsurfing tours for youth, personalized tourism offers for young people, the organization of «combo tours» (combination of several types of tourism), crowdsourcing tourism, organization of tours in the format of «digital nomads», organization of tree tours, transformational tourism, digital tourism, organization of tours with ATVs, mopeds and bicycles). Furthermore, the study was able to identify conceptual business models that describe the specific characteristics and components of the different types of youth tourism: close interaction between tour operator, travel agency and end consumer based on the use of digital solutions; partial involvement of tour operators and travel agencies in the design of the tourist offer or without; involvement of third parties not directly connected with the tourism market; the presence of a large number of intermediaries; pronounced customization of services; participation of the main players in the tourist market of service organizations through intermediaries; organization of trips without physical departure using digital tools; close interaction of individuals in the process of organizing trips based on digital platforms. In the work, a scientometric and content analysis of search queries was conducted to identify important research areas within the framework of the scientific problems considered by the authors (the total amount of information used for the study was 4309 scientific documents; at the same time, the number of search queries processed in Google Trends was 4 units with an average observation period of 5 years); in addition, the distinguishing features of classic and innovative business models, including those related to the tourism business, were identified, a matrix for the correspondence of conceptual and specific business models of youth tourism was created, as well as their distribution according to three selected criteria: the level of formation of tourist interest and personalization, the degree of involvement of the tourist in the process of providing tourist services. It is also important to note that based on the results of the study, a conceptual scheme for the correlation of organizational functions and the formation of structural units and organizational links within a tourism company in the selection of the optimal innovative business model for youth tourism was developed.","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135827647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Galuh Tresna Murti, Srihadi Winarningsih, Citra Sukmadilaga
This study aims to empirically measure and test a conceptual model of the magnitude of the influence of organizational culture, IT Maturity Level, and data quality on the successful implementation of business intelligence systems and their implications for innovation performance. The areas of our empirical study through the hypotheses testing were: the estimation of the effect of business intelligence on financial performance; the impact of business intelligence on innovation; the effect of business intelligence on brand success; the impact of innovation on brand success; the impact of innovation on financial performance. The study sample included 4 commercial banks and 58 conventional commercial banks in the category of national private commercial banks of Indonesia, hence, the total sample in this study was 62 banks. This study used non-probability sampling techniques with purposive sampling techniques at conventional commercial banks in Indonesia. The data analysis method uses Covarian Based-Structural Modeling (CB-SEM) with programming tools that support primary data analysis in Lisrell 8.5. The results of this study found that the higher the level of implementation of organizational culture, IT Maturity Level, and data quality, the higher the success rate of implementing business intelligence systems which have implications for improving innovation performance, while the higher the level of application of business intelligence systems, the higher the level of innovation performance. The implementation of organizational culture is the factor that has the most significant influence on the success of implementing business intelligence systems compared to other factors studied in this study.
{"title":"Empirical study of business intelligence systems and their influence on innovation performance","authors":"Galuh Tresna Murti, Srihadi Winarningsih, Citra Sukmadilaga","doi":"10.21003/ea.v201-02","DOIUrl":"https://doi.org/10.21003/ea.v201-02","url":null,"abstract":"This study aims to empirically measure and test a conceptual model of the magnitude of the influence of organizational culture, IT Maturity Level, and data quality on the successful implementation of business intelligence systems and their implications for innovation performance. The areas of our empirical study through the hypotheses testing were: the estimation of the effect of business intelligence on financial performance; the impact of business intelligence on innovation; the effect of business intelligence on brand success; the impact of innovation on brand success; the impact of innovation on financial performance. The study sample included 4 commercial banks and 58 conventional commercial banks in the category of national private commercial banks of Indonesia, hence, the total sample in this study was 62 banks. This study used non-probability sampling techniques with purposive sampling techniques at conventional commercial banks in Indonesia. The data analysis method uses Covarian Based-Structural Modeling (CB-SEM) with programming tools that support primary data analysis in Lisrell 8.5. The results of this study found that the higher the level of implementation of organizational culture, IT Maturity Level, and data quality, the higher the success rate of implementing business intelligence systems which have implications for improving innovation performance, while the higher the level of application of business intelligence systems, the higher the level of innovation performance. The implementation of organizational culture is the factor that has the most significant influence on the success of implementing business intelligence systems compared to other factors studied in this study.","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135827766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents the results of research aimed at determining the economic efficiency of using vegetable oils in the production of cream vegetable spreads. The study is based on the analysis of the fatty acid composition of the product, which is a key factor influencing its consumer properties and production cost. The main economic aspect of this research is that the use of vegetable oils in spread production allows for a reduction in raw material costs, as they are usually cheaper than butter. This, in turn, can lead to a decrease in the final product cost and an increase in its market competitiveness. During the study, two samples of the product were selected for analysis of their fatty acid composition using gas chromatography. The results showed that with the addition of vegetable oils, the content of polyunsaturated fatty acids in the spread composition ranged from 2.271±0.114% to 12.421±0.621%. This indicates a high level of product balance, which can also contribute to its consumer appeal. The article also focuses on determining the optimal technological parameters for obtaining a high-quality product. The recommended parameters (temperature of 34°C, speed of modes ranging from 110 rpm to 150 rpm) allow for the production of a homogeneous emulsion without visible separations, which can also reduce production costs and improve product quality. The results of this study can be used by cream vegetable spread manufacturers to optimize the production process and improve economic efficiency.
{"title":"Economic aspects of obtaining a functional creamy vegetable spread with a balanced fatty acid composition","authors":"Nazym Alzhaxina, Tolganay Yerbolat, Askhat Dalabayev, Magzhan Mantay, Almas Dauletkerey","doi":"10.21003/ea.v201-03","DOIUrl":"https://doi.org/10.21003/ea.v201-03","url":null,"abstract":"This article presents the results of research aimed at determining the economic efficiency of using vegetable oils in the production of cream vegetable spreads. The study is based on the analysis of the fatty acid composition of the product, which is a key factor influencing its consumer properties and production cost. The main economic aspect of this research is that the use of vegetable oils in spread production allows for a reduction in raw material costs, as they are usually cheaper than butter. This, in turn, can lead to a decrease in the final product cost and an increase in its market competitiveness. During the study, two samples of the product were selected for analysis of their fatty acid composition using gas chromatography. The results showed that with the addition of vegetable oils, the content of polyunsaturated fatty acids in the spread composition ranged from 2.271±0.114% to 12.421±0.621%. This indicates a high level of product balance, which can also contribute to its consumer appeal. The article also focuses on determining the optimal technological parameters for obtaining a high-quality product. The recommended parameters (temperature of 34°C, speed of modes ranging from 110 rpm to 150 rpm) allow for the production of a homogeneous emulsion without visible separations, which can also reduce production costs and improve product quality. The results of this study can be used by cream vegetable spread manufacturers to optimize the production process and improve economic efficiency.","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135827646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The cultural model of science and the scientific system of Kazakhstan are theorized and updated for the first time in our research, and this study extends Hofstede’s five-dimensional model of cultural space specifically in the context of the scientific system. The methodology involves employing Hofstede’s dimensions – Power Distance, Individualism versus Collectivism, Masculinity versus Femininity, Uncertainty Avoidance, and Long-Term versus Short-Term Orientation – as a heuristic tool to evaluate the attributes of scientific culture in Kazakhstan. In this way, we shed light on how scientists in Kazakhstan interact with the prevailing cultural norms and expectations, offering a detailed view of culturally embedded scientific practices. To clarify, the five dimensions are adapted in the following manner: Firstly, Scientific Power Distance pertains to the degree of hierarchical authority within scientific institutions. High power distance in this setting implies a significant disparity between junior and senior researchers, thereby affecting the dynamics of collaboration and innovation. Secondly, Scientific Individualism-Collectivism measures the extent to which the scientific culture either fosters individual achievement and originality or prioritizes group cooperation. Thirdly, Scientific Masculinity-Femininity assesses the predominance of either competitive (Masculine) or collaborative (Feminine) traits within the scientific community. Fourthly, Scientific Uncertainty Avoidance deals with the community’s tolerance for uncertainty and ambiguity, indicating whether there’s a preference for structured environments. Lastly, Scientific Long-Term Orientation gauges the focus of scientific endeavors, whether they aim for immediate outputs or invest in long-term research. The Kazakhstan scientific system is thus situated within this adapted framework of five dimensions, providing an intricate mapping of how cultural attributes impact scientific pursuits in the country. The importance of cultural phenomenology in the scientific domain comes from its focus on the observation and interpretation of the cultural factors that influence scientific thinking, progress, and implementation. It recognizes that science is not an isolated activity but is deeply entrenched in societal and cultural systems. In the specific context of Kazakhstan, a country experiencing rapid socio-economic changes, the scientific system is not only shaped by various facets of cultural identity but also makes substantial contributions to socio-economic development. Regarding the empirical findings of this study, the data illustrates the profound economic impact of the scientific system in Kazakhstan. From increased R&D investment to job creation and attracting significant Foreign Direct Investment (FDI), the scientific system appears to make a direct and meaningful contribution to the nation’s economic growth and development. In conclusion, these findings suggest that there is a posi
{"title":"Phenomenology of the scientific system of Kazakhstan: a study of social and economic effects through the Hofstede’s five-dimensional model of cultural space and beyond","authors":"Adilbek Bisenbaev, Kulzhanat Bulatbayeva, Duman Orynbekov, Saniya Zhumazhanova, Serik Azambayev","doi":"10.21003/ea.v201-01","DOIUrl":"https://doi.org/10.21003/ea.v201-01","url":null,"abstract":"The cultural model of science and the scientific system of Kazakhstan are theorized and updated for the first time in our research, and this study extends Hofstede’s five-dimensional model of cultural space specifically in the context of the scientific system. The methodology involves employing Hofstede’s dimensions – Power Distance, Individualism versus Collectivism, Masculinity versus Femininity, Uncertainty Avoidance, and Long-Term versus Short-Term Orientation – as a heuristic tool to evaluate the attributes of scientific culture in Kazakhstan. In this way, we shed light on how scientists in Kazakhstan interact with the prevailing cultural norms and expectations, offering a detailed view of culturally embedded scientific practices. To clarify, the five dimensions are adapted in the following manner: Firstly, Scientific Power Distance pertains to the degree of hierarchical authority within scientific institutions. High power distance in this setting implies a significant disparity between junior and senior researchers, thereby affecting the dynamics of collaboration and innovation. Secondly, Scientific Individualism-Collectivism measures the extent to which the scientific culture either fosters individual achievement and originality or prioritizes group cooperation. Thirdly, Scientific Masculinity-Femininity assesses the predominance of either competitive (Masculine) or collaborative (Feminine) traits within the scientific community. Fourthly, Scientific Uncertainty Avoidance deals with the community’s tolerance for uncertainty and ambiguity, indicating whether there’s a preference for structured environments. Lastly, Scientific Long-Term Orientation gauges the focus of scientific endeavors, whether they aim for immediate outputs or invest in long-term research. The Kazakhstan scientific system is thus situated within this adapted framework of five dimensions, providing an intricate mapping of how cultural attributes impact scientific pursuits in the country. The importance of cultural phenomenology in the scientific domain comes from its focus on the observation and interpretation of the cultural factors that influence scientific thinking, progress, and implementation. It recognizes that science is not an isolated activity but is deeply entrenched in societal and cultural systems. In the specific context of Kazakhstan, a country experiencing rapid socio-economic changes, the scientific system is not only shaped by various facets of cultural identity but also makes substantial contributions to socio-economic development. Regarding the empirical findings of this study, the data illustrates the profound economic impact of the scientific system in Kazakhstan. From increased R&D investment to job creation and attracting significant Foreign Direct Investment (FDI), the scientific system appears to make a direct and meaningful contribution to the nation’s economic growth and development. In conclusion, these findings suggest that there is a posi","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135827767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this article, we present an economic analysis and optimization of the production process of functional beverages based on extracts from sprouted grains of cereal crops. When approaching process optimization in production, one of the key tools is mathematical experimental design. In particular, second-order rotational planning provides the opportunity to determine the optimal combination of input factors, which in turn leads to maximum economic efficiency of the extract extraction process. In this study, we applied this methodology to the process of ultrasonic extraction of sprouted grains of cereal crops. A series of experimental studies was conducted to minimize costs and maximize revenue from the production of functional beverages based at currently available economic information. As a result of the analysis, optimal process parameters were determined which ensure maximum economic efficiency. The study also included an assessment of the quality of the obtained extracts in terms of their content of biochemical compounds. The example economic forecast for Nestlé Corporation if introducing the proposed improvements has been given. The results of this study provide valuable data for functional beverage manufacturers and can serve as a basis for making informed strategic decisions regarding the use of ultrasonic extraction in their production processes for production costs reduction and maximization of revenue.
{"title":"The economic essence of electro-pulse extraction technology in the production of extracts from sprouted grains of cereal crops","authors":"Nurzhan Muslimov, Abdymanap Ospanov, Nazym Alzhaxina, Askhat Dalabayev, Aigerim Tuyakova, Abilkhan Sadibaev","doi":"10.21003/ea.v201-04","DOIUrl":"https://doi.org/10.21003/ea.v201-04","url":null,"abstract":"In this article, we present an economic analysis and optimization of the production process of functional beverages based on extracts from sprouted grains of cereal crops. When approaching process optimization in production, one of the key tools is mathematical experimental design. In particular, second-order rotational planning provides the opportunity to determine the optimal combination of input factors, which in turn leads to maximum economic efficiency of the extract extraction process. In this study, we applied this methodology to the process of ultrasonic extraction of sprouted grains of cereal crops. A series of experimental studies was conducted to minimize costs and maximize revenue from the production of functional beverages based at currently available economic information. As a result of the analysis, optimal process parameters were determined which ensure maximum economic efficiency. The study also included an assessment of the quality of the obtained extracts in terms of their content of biochemical compounds. The example economic forecast for Nestlé Corporation if introducing the proposed improvements has been given. The results of this study provide valuable data for functional beverage manufacturers and can serve as a basis for making informed strategic decisions regarding the use of ultrasonic extraction in their production processes for production costs reduction and maximization of revenue.","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135827770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, the Republic of Kazakhstan has prioritized the enhancement of its domestic food production industry as a strategic economic initiative. This is driven by the dual goals of improving public health outcomes and stimulating economic growth. Dairy products, a staple in the Kazakh diet, have been identified as a key sector for development. However, the domestic dairy industry faces significant economic challenges. Firstly, the industry is in its nascent stages of recovery following a prolonged period of economic stagnation. Secondly, high-quality domestic dairy products are facing stiff market competition from inexpensive foreign imports, which often do not meet the necessary quality and nutritional standards. This has implications for both public health and the economic viability of domestic dairy producers. Thirdly, the country is at the initial stages of exploring combined technologies to produce dairy products enriched with herbal supplements, known as combined dairy products. This emerging sector represents a potential avenue for economic diversification and value addition within the dairy industry. The objective of the study outlined in the provided paper is multifaceted, encompassing economic, technological, and public health dimensions within the context of Kazakhstan’s domestic dairy industry. Specifically, the study aims to explore the economic potential and viability of producing combined cheeses with intermediate moisture content. To achieve this objective, we propose to examine the organoleptic and physico-chemical characteristics of such dairy products. By investigating these attributes, the study seeks to shed light on the implications of producing these combined cheeses for production costs, marketability, and potential profitability. This endeavor is situated within the broader strategic goal of enhancing Kazakhstan’s domestic food production industry, particularly focusing on dairy products, which are a staple in the Kazakh diet. The research is driven by dual imperatives: improving public health outcomes and stimulating economic growth. To gain empirical data and real market needs understanding, the authors conducted a poll of the residents of three major cities of Kazakhstan: the capital Astana, Almaty and Shymkent. The poll involved 1,000 residents of each of the named cities, which is approximately 0.5-1% of the population of such cities as of 2020. The poll was conducted over a one-month period among supermarket customers of different ages who choose dairy products – soft cheeses. Respondents were asked three questions, namely: In your opinion, is there a need in the Republic of Kazakhstan to produce a new dairy product, in particular soft cheese, with high vitamin content and low-fat content, based on organic fermented vegetables? What price would you be willing to pay for such a product? Should the new product be produced by national producers? The findings show that almost every resident of large cities of th
{"title":"Economic viability and market potential of combined intermediate moisture dairy products production in Kazakhstan","authors":"Tamara Tultabayeva, Urishbayi Chomanov, Zhumatai Urazbayev, Gulmira Kenenbay, Aruzhan Shoman, Asiya Shoman","doi":"10.21003/ea.v201-05","DOIUrl":"https://doi.org/10.21003/ea.v201-05","url":null,"abstract":"In recent years, the Republic of Kazakhstan has prioritized the enhancement of its domestic food production industry as a strategic economic initiative. This is driven by the dual goals of improving public health outcomes and stimulating economic growth. Dairy products, a staple in the Kazakh diet, have been identified as a key sector for development. However, the domestic dairy industry faces significant economic challenges. Firstly, the industry is in its nascent stages of recovery following a prolonged period of economic stagnation. Secondly, high-quality domestic dairy products are facing stiff market competition from inexpensive foreign imports, which often do not meet the necessary quality and nutritional standards. This has implications for both public health and the economic viability of domestic dairy producers. Thirdly, the country is at the initial stages of exploring combined technologies to produce dairy products enriched with herbal supplements, known as combined dairy products. This emerging sector represents a potential avenue for economic diversification and value addition within the dairy industry. The objective of the study outlined in the provided paper is multifaceted, encompassing economic, technological, and public health dimensions within the context of Kazakhstan’s domestic dairy industry. Specifically, the study aims to explore the economic potential and viability of producing combined cheeses with intermediate moisture content. To achieve this objective, we propose to examine the organoleptic and physico-chemical characteristics of such dairy products. By investigating these attributes, the study seeks to shed light on the implications of producing these combined cheeses for production costs, marketability, and potential profitability. This endeavor is situated within the broader strategic goal of enhancing Kazakhstan’s domestic food production industry, particularly focusing on dairy products, which are a staple in the Kazakh diet. The research is driven by dual imperatives: improving public health outcomes and stimulating economic growth. To gain empirical data and real market needs understanding, the authors conducted a poll of the residents of three major cities of Kazakhstan: the capital Astana, Almaty and Shymkent. The poll involved 1,000 residents of each of the named cities, which is approximately 0.5-1% of the population of such cities as of 2020. The poll was conducted over a one-month period among supermarket customers of different ages who choose dairy products – soft cheeses. Respondents were asked three questions, namely: In your opinion, is there a need in the Republic of Kazakhstan to produce a new dairy product, in particular soft cheese, with high vitamin content and low-fat content, based on organic fermented vegetables? What price would you be willing to pay for such a product? Should the new product be produced by national producers? The findings show that almost every resident of large cities of th","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135827768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Any Agus Kana, Hari Nurweni, Yunita Anggarini, Jumintono, Retno Hartati
The study aims to figure out the socio-economic factors influencing the decision to take credit from banks by small entrepreneurs. This research is a quantitative study and uses binary logistic regression with the Cumulative Distribution Function (CDF) to determine the form of relationship between the decision to take credit with the influencing factor. Data was collected with questionnaire from 130 entrepreneurs-representatives of small licensed business from five industries in 2022. The samples were taken in stratified random sampling. The results showed that the significant factors which affect the decision to take bank credit were gender, education level, markets served, industry, and collateral. It is concluded that the Bank and the Government of Yogyakarta could introduce the mechanisms which encourage entrepreneurs to be willing to access credit resources from the banks.
{"title":"Socio-economic factors influencing the decision to take credit for small entrepreneurs on the example of Yogyakarta city in Indonesia","authors":"Any Agus Kana, Hari Nurweni, Yunita Anggarini, Jumintono, Retno Hartati","doi":"10.21003/ea.v199-02","DOIUrl":"https://doi.org/10.21003/ea.v199-02","url":null,"abstract":"The study aims to figure out the socio-economic factors influencing the decision to take credit from banks by small entrepreneurs. This research is a quantitative study and uses binary logistic regression with the Cumulative Distribution Function (CDF) to determine the form of relationship between the decision to take credit with the influencing factor. Data was collected with questionnaire from 130 entrepreneurs-representatives of small licensed business from five industries in 2022. The samples were taken in stratified random sampling. The results showed that the significant factors which affect the decision to take bank credit were gender, education level, markets served, industry, and collateral. It is concluded that the Bank and the Government of Yogyakarta could introduce the mechanisms which encourage entrepreneurs to be willing to access credit resources from the banks.","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44531509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jumintono, S. Maryanti, N. Lubis, R. Jasiyah, Hadi Priyono
The purpose of this mini-research is to find out the use of learning media for Android-based Acquired Knowledge Systems Inc. (AKSI) applications can improve accounting learning achievement in students of class XII Accounting class of Sekolah Menengah Kejuruan University, Post-secondary (AKL 1 SMK N 1 Kebumen). This research is qualitative. Data collection techniques include interviews, observation, and documentation analysis. The data analysis technique used qualitative descriptive analysis, including data collection, data reduction, data presentation, and conclusion drawing. The study findings are as follows. 1) The teachers’ observations about using learning media for Android-based AKSI applications in learning activities indicate that they have implemented the learning process well. 2) The results of interviews with students have shown that: a) the learning process using the Android-based AKSI application media has been implemented well; b) student motivation has increased so that students feel their value increases. 3) The results of the analysis of the value documentation indicate an increase in accounting learning achievement by students, namely, a) before the use of teaching media Android-based AKSI applications are an average of class 66 with students who complete grades above Minimum Completeness Criteria (MCC) 16, b) after the use of learning media android-based AKSI Applications the average quality achieved by 75 with students who scored above MCC 23, then increased again the grade average value to 79 with students who achieved grades above MCC to 26.
本小型检索的目的是为了了解基于Android的后天知识系统股份有限公司（AKSI）应用程序的学习媒体的使用情况，这些应用程序可以提高Sekolah Menengah Kejuruan大学第十二班会计班（AKL 1 SMK N 1 Kebumen）学生的会计学习成绩。这项研究是定性的。数据收集技术包括访谈、观察和文件分析。数据分析技术采用定性描述性分析，包括数据收集、数据约简、数据呈现和结论得出。研究结果如下。1） 教师们对在学习活动中使用基于Android的AKSI应用程序的学习媒体的观察表明，他们很好地实施了学习过程。2） 对学生的访谈结果表明：a）使用基于Android的AKSI应用媒体的学习过程得到了很好的实施；b） 学生的积极性提高了，从而使学生感到自己的价值增加了。3） 价值文档的分析结果表明，学生的会计学习成绩有所提高，即：a）在使用教学媒体之前，基于安卓系统的AKSI应用程序平均为66班，学生完成的成绩高于最低完整性标准（MCC）16，b）在使用基于android的学习媒体AKSI应用程序后，成绩高于MCC 23的学生的平均质量提高了75，然后成绩高于MCC的学生的成绩平均值再次提高到79，达到26。
{"title":"Android-based AKSI application usage to improve achievements in accounting learning","authors":"Jumintono, S. Maryanti, N. Lubis, R. Jasiyah, Hadi Priyono","doi":"10.21003/ea.v199-04","DOIUrl":"https://doi.org/10.21003/ea.v199-04","url":null,"abstract":"The purpose of this mini-research is to find out the use of learning media for Android-based Acquired Knowledge Systems Inc. (AKSI) applications can improve accounting learning achievement in students of class XII Accounting class of Sekolah Menengah Kejuruan University, Post-secondary (AKL 1 SMK N 1 Kebumen). This research is qualitative. Data collection techniques include interviews, observation, and documentation analysis. The data analysis technique used qualitative descriptive analysis, including data collection, data reduction, data presentation, and conclusion drawing. The study findings are as follows. 1) The teachers’ observations about using learning media for Android-based AKSI applications in learning activities indicate that they have implemented the learning process well. 2) The results of interviews with students have shown that: a) the learning process using the Android-based AKSI application media has been implemented well; b) student motivation has increased so that students feel their value increases. 3) The results of the analysis of the value documentation indicate an increase in accounting learning achievement by students, namely, a) before the use of teaching media Android-based AKSI applications are an average of class 66 with students who complete grades above Minimum Completeness Criteria (MCC) 16, b) after the use of learning media android-based AKSI Applications the average quality achieved by 75 with students who scored above MCC 23, then increased again the grade average value to 79 with students who achieved grades above MCC to 26.","PeriodicalId":51923,"journal":{"name":"Economic Annals-XXI","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43374892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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