Pub Date : 2022-09-30DOI: 10.17323/2587-814x.2022.3.68.84
Tony Wijaya
Game-oriented business development is growing quickly and this encourages the digital economy in Indonesia. This research aims to examine the role of perceived value on the purchase behavior of online game attributes in Indonesia based on gender groups. Samples were taken from several online gaming communities in Indonesia. The variables in this study consist of perceived value variables, namely emotional, quality, social and economic value, which are antecedents for the online game attribute purchase intention and purchase behavior variables. Data were analyzed using Structural Equation Modeling. The research results show an influence on purchase intentions of perceived value which consists of emotional, quality, social and economic value and ultimately shapes the buying behavior of online game product attributes. There is a difference in each component of perceived value on purchase intention between male and female groups. Emotional and quality values do not affect the female group’s pursuit intent, while social values do not significantly affect the male group.
{"title":"Perceived values and purchase behavior of online game attribute products: Gender overview","authors":"Tony Wijaya","doi":"10.17323/2587-814x.2022.3.68.84","DOIUrl":"https://doi.org/10.17323/2587-814x.2022.3.68.84","url":null,"abstract":"Game-oriented business development is growing quickly and this encourages the digital economy in Indonesia. This research aims to examine the role of perceived value on the purchase behavior of online game attributes in Indonesia based on gender groups. Samples were taken from several online gaming communities in Indonesia. The variables in this study consist of perceived value variables, namely emotional, quality, social and economic value, which are antecedents for the online game attribute purchase intention and purchase behavior variables. Data were analyzed using Structural Equation Modeling. The research results show an influence on purchase intentions of perceived value which consists of emotional, quality, social and economic value and ultimately shapes the buying behavior of online game product attributes. There is a difference in each component of perceived value on purchase intention between male and female groups. Emotional and quality values do not affect the female group’s pursuit intent, while social values do not significantly affect the male group.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49659188","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}
Pub Date : 2022-09-30DOI: 10.17323/2587-814x.2022.3.7.23
R. Zhukov, N. Kozlova, Evgeny V. Manokhin, M. Plinskaya
A three-dimensional case is considered on the basis of a method developed for estimating the parameters of the aggregated production function used to calculate dynamic standards and build integral indicators of the performances of the functioning of socio-economic systems. The aggregated production function is determined by the quadratic convolution of the production functions of the results of the functioning of the elements of the subsystem and their correlation matrix. The parameters of the aggregated production function are determined from solving the problem of maximizing the likelihood function of a random variable – the residuals of production functions aggregated according to a similar rule. On the example of a project subsystem within the framework of the Kleiner’s spatial-temporal classification of socio-economic systems we obtained adjusted values of the parameters of a function that includes power-law multiplicative models of the relationship between the volume of gross domestic product by region for sections F (construction), G (wholesale and retail trade), K (financial activity) according to NACE 2 and the cost of fixed assets (total for section K, for sections F and G), the average annual number of employees (for sections F and G) and the average annual population (for section K), based on data for 2015–2020 (sections G, K) and 2018–2020 (section F) for the regions of the Central Federal District. The EFRA software package and Python’s project were used as tools. The results obtained can be used by regional authorities in assessing the functioning of the regions and the formation of appropriate standards in the short term.
{"title":"Construction of an aggregated production function with implementation based on the example of the regions of the Central Federal District of the Russian Federation","authors":"R. Zhukov, N. Kozlova, Evgeny V. Manokhin, M. Plinskaya","doi":"10.17323/2587-814x.2022.3.7.23","DOIUrl":"https://doi.org/10.17323/2587-814x.2022.3.7.23","url":null,"abstract":"A three-dimensional case is considered on the basis of a method developed for estimating the parameters of the aggregated production function used to calculate dynamic standards and build integral indicators of the performances of the functioning of socio-economic systems. The aggregated production function is determined by the quadratic convolution of the production functions of the results of the functioning of the elements of the subsystem and their correlation matrix. The parameters of the aggregated production function are determined from solving the problem of maximizing the likelihood function of a random variable – the residuals of production functions aggregated according to a similar rule. On the example of a project subsystem within the framework of the Kleiner’s spatial-temporal classification of socio-economic systems we obtained adjusted values of the parameters of a function that includes power-law multiplicative models of the relationship between the volume of gross domestic product by region for sections F (construction), G (wholesale and retail trade), K (financial activity) according to NACE 2 and the cost of fixed assets (total for section K, for sections F and G), the average annual number of employees (for sections F and G) and the average annual population (for section K), based on data for 2015–2020 (sections G, K) and 2018–2020 (section F) for the regions of the Central Federal District. The EFRA software package and Python’s project were used as tools. The results obtained can be used by regional authorities in assessing the functioning of the regions and the formation of appropriate standards in the short term.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49661877","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}
Pub Date : 2022-09-30DOI: 10.17323/2587-814x.2022.3.24.35
M. Maltsev, Sergey Baglyuk, Irina Solntseva
The task of assessing the market cost of an art object (AO) is relevant for artists, art dealers, collectors and museum workers, among others. Experts and appraisers who need appropriate automation tools are involved in its solution. The task is complicated by the inconsistency of the conceptual apparatus of the specialists’ various fields of knowledge, the specifics of AO and the art market. Known methods for solving it, especially automated methods, are not numerous and not universal. The purpose of this study was to develop a method for automated valuation of the market value of AO, which defines it as the sum of two components: the prime cost of the AO and added cost – the cost of the asset “value of the AO.” To calculate the first component, a cost–based approach and an additive model were used; the second was a comparative approach and an interpolation model. The added value of modern AO is represented by a function of the parameters of each of the four price-forming factors of AO: “the value of the artist,” “the artistic value of AO,” “the cultural value of AO,” “the quality of the state of AO.” It is proposed to implement models in the form of a software package integrated into the information systems of modern art institutions, having coordinated the data formats used.
{"title":"Method of estimating the market cost of art objects based on the interpolation model","authors":"M. Maltsev, Sergey Baglyuk, Irina Solntseva","doi":"10.17323/2587-814x.2022.3.24.35","DOIUrl":"https://doi.org/10.17323/2587-814x.2022.3.24.35","url":null,"abstract":"The task of assessing the market cost of an art object (AO) is relevant for artists, art dealers, collectors and museum workers, among others. Experts and appraisers who need appropriate automation tools are involved in its solution. The task is complicated by the inconsistency of the conceptual apparatus of the specialists’ various fields of knowledge, the specifics of AO and the art market. Known methods for solving it, especially automated methods, are not numerous and not universal. The purpose of this study was to develop a method for automated valuation of the market value of AO, which defines it as the sum of two components: the prime cost of the AO and added cost – the cost of the asset “value of the AO.” To calculate the first component, a cost–based approach and an additive model were used; the second was a comparative approach and an interpolation model. The added value of modern AO is represented by a function of the parameters of each of the four price-forming factors of AO: “the value of the artist,” “the artistic value of AO,” “the cultural value of AO,” “the quality of the state of AO.” It is proposed to implement models in the form of a software package integrated into the information systems of modern art institutions, having coordinated the data formats used.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67931253","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}
Pub Date : 2022-09-30DOI: 10.17323/2587-814x.2022.3.53.67
Aleksei M. Gintciak, M. Bolsunovskaya, Z. Burlutskaya, A. Petryaeva
This article is devoted to the development of a high-level simulation model of tourism industry dynamics. The purpose of this study is to form recommendations for the recovery of the tourism industry from the effects of the pandemic. The resulting model considers domestic tourism from the point of view of the interdependence of the economic condition of the state, the contribution of the tourism industry to gross domestic product, the size of the tourist flow and the average income per tourist. In addition to describing the functional dependencies of the model elements, several experiments are proposed to test the logic of the elements’ relationships. System dynamics tools are used to develop the model. The study also examines the class of computable general equilibrium models as a tool for analyzing supply and demand in the market of tourist products.
{"title":"High-level simulation model of tourism industry dynamics","authors":"Aleksei M. Gintciak, M. Bolsunovskaya, Z. Burlutskaya, A. Petryaeva","doi":"10.17323/2587-814x.2022.3.53.67","DOIUrl":"https://doi.org/10.17323/2587-814x.2022.3.53.67","url":null,"abstract":"This article is devoted to the development of a high-level simulation model of tourism industry dynamics. The purpose of this study is to form recommendations for the recovery of the tourism industry from the effects of the pandemic. The resulting model considers domestic tourism from the point of view of the interdependence of the economic condition of the state, the contribution of the tourism industry to gross domestic product, the size of the tourist flow and the average income per tourist. In addition to describing the functional dependencies of the model elements, several experiments are proposed to test the logic of the elements’ relationships. System dynamics tools are used to develop the model. The study also examines the class of computable general equilibrium models as a tool for analyzing supply and demand in the market of tourist products.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67931478","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}
Pub Date : 2022-06-30DOI: 10.17323/2587-814x.2022.2.36.48
B. Slavin
With the digitalization of the economy, the creative component of an organization’s activities increases. Standard business process management methods stop working due to the rise in uncertainty of the task solution time. Currently, there are no effective technologies for managing intellectual activity processes in organizations. The role of collective intelligence technologies for knowledge management in organizations has long been discussed in the literature, but there are still no concrete proposals on implementation. This work aims to show how collective technologies can solve the problems of managing business processes of intellectual activity. The possibility of collective intelligence technologies for increasing labor productivity is demonstrated. Models for distributing tasks by competencies and synergy from collaboration are proposed for this demonstration. The paper shows that competencies are the primary metric that can be used to measure work with knowledge in an organization. But they should also be considered when organizing group activities. A simple model example shows that the correct distribution of tasks by competencies allows you to increase the speed of solving tasks by a group by several times. In real cases, calculations using computing resources are necessary. A model is also proposed that demonstrates increasing the joint activity of a creative employee and an analyst. It is shown that business process management should be supplemented by mapping the competence model and group work options to the stages of business processes. This will allow you to manage the business processes of intellectual activity.
{"title":"Technologies of collective intelligence in the management of business processes of an organization","authors":"B. Slavin","doi":"10.17323/2587-814x.2022.2.36.48","DOIUrl":"https://doi.org/10.17323/2587-814x.2022.2.36.48","url":null,"abstract":"With the digitalization of the economy, the creative component of an organization’s activities increases. Standard business process management methods stop working due to the rise in uncertainty of the task solution time. Currently, there are no effective technologies for managing intellectual activity processes in organizations. The role of collective intelligence technologies for knowledge management in organizations has long been discussed in the literature, but there are still no concrete proposals on implementation. This work aims to show how collective technologies can solve the problems of managing business processes of intellectual activity. The possibility of collective intelligence technologies for increasing labor productivity is demonstrated. Models for distributing tasks by competencies and synergy from collaboration are proposed for this demonstration. The paper shows that competencies are the primary metric that can be used to measure work with knowledge in an organization. But they should also be considered when organizing group activities. A simple model example shows that the correct distribution of tasks by competencies allows you to increase the speed of solving tasks by a group by several times. In real cases, calculations using computing resources are necessary. A model is also proposed that demonstrates increasing the joint activity of a creative employee and an analyst. It is shown that business process management should be supplemented by mapping the competence model and group work options to the stages of business processes. This will allow you to manage the business processes of intellectual activity.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47317850","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}
Pub Date : 2021-12-31DOI: 10.17323/2587-814x.2021.4.61.75
E. Kopnova, L. Rodionova
The paper is devoted to modeling the links between the institutional and actual level of globalization in the countries of the world. Vector models of error correction, quantile regression, and a stochastic frontier model are considered. As a measure of globalization and its components, the KOF-index of globalization system is used, which allows us to analyze individual globalization processes in the economy, social sphere and politics. According to 2020 data, we determine the dynamic relations between the actual and institutional components of globalization, and the priority of the institutional component for informational and financial globalization is revealed. The example of financial globalization shows the uneven degree of influence of the institutional component on the actual globalization, in particular, its prevailing importance for less globalized countries, indicating the alignment of the degree of internationalization in the global financial system. The degree of effectiveness of the impact of institutional measures, together with the overall level of well-being on the actual financial globalization is analyzed. It is shown that the spread across the countries of the world in the efficiency indicator is almost 70%. Almost 10% of countries have a low efficiency of up to 50%. One third of the countries has average efficiency (50–75%). The share of countries with high efficiency over 75% is about 60%.
{"title":"Modeling the links between institutional and actual globalization in the countries of the world","authors":"E. Kopnova, L. Rodionova","doi":"10.17323/2587-814x.2021.4.61.75","DOIUrl":"https://doi.org/10.17323/2587-814x.2021.4.61.75","url":null,"abstract":"The paper is devoted to modeling the links between the institutional and actual level of globalization in the countries of the world. Vector models of error correction, quantile regression, and a stochastic frontier model are considered. As a measure of globalization and its components, the KOF-index of globalization system is used, which allows us to analyze individual globalization processes in the economy, social sphere and politics. According to 2020 data, we determine the dynamic relations between the actual and institutional components of globalization, and the priority of the institutional component for informational and financial globalization is revealed. The example of financial globalization shows the uneven degree of influence of the institutional component on the actual globalization, in particular, its prevailing importance for less globalized countries, indicating the alignment of the degree of internationalization in the global financial system. The degree of effectiveness of the impact of institutional measures, together with the overall level of well-being on the actual financial globalization is analyzed. It is shown that the spread across the countries of the world in the efficiency indicator is almost 70%. Almost 10% of countries have a low efficiency of up to 50%. One third of the countries has average efficiency (50–75%). The share of countries with high efficiency over 75% is about 60%.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43856922","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}
Pub Date : 2021-12-31DOI: 10.17323/2587-814x.2021.4.36.49
G. Kalugina, Аnatoly Ryapukhin
Under conditions of intense competition, the creation of new products and their promotion to the market requires marketing support. The central element of marketing innovation management is marketing positioning. In contrast to the methodological aspect, there is almost no procedural component of positioning in scientific works and publications. Moreover, due attention is not paid to the issues of market segmentation and the allocation of the competitive advantage of such high-tech products as civil aircraft. This determines the relevance of the task of developing a procedure for marketing positioning within the framework of managing the product offer of the aircraft industry enterprises. From the standpoint of a systematic approach, the necessity of studying the adjacent air transportation market is reasonable, as well as the analysis of the correlation of its segmentation with the allocation of target segments of the aircraft market. When conducting a competitive analysis, we propose to consider the market position not only of certain types of civil aircraft, but also of aircraft families. Modeling marketing management shows the role of positioning in the processes of creating, manufacturing and operating aircraft. A distinctive feature of the procedure is the proposed stage of evaluating the effectiveness of the selected product position implementation, which allows us to analyze the feasibility of marketing decisions throughout the product life cycle. Special attention is paid to the issues of information support. The research results presented here reflect the specifics of the marketing activities of aviation industry enterprises and contribute to the development of the conceptual foundations of industrial marketing.
{"title":"Methods of digital marketing positioning in the global civil passenger aircraft market","authors":"G. Kalugina, Аnatoly Ryapukhin","doi":"10.17323/2587-814x.2021.4.36.49","DOIUrl":"https://doi.org/10.17323/2587-814x.2021.4.36.49","url":null,"abstract":"Under conditions of intense competition, the creation of new products and their promotion to the market requires marketing support. The central element of marketing innovation management is marketing positioning. In contrast to the methodological aspect, there is almost no procedural component of positioning in scientific works and publications. Moreover, due attention is not paid to the issues of market segmentation and the allocation of the competitive advantage of such high-tech products as civil aircraft. This determines the relevance of the task of developing a procedure for marketing positioning within the framework of managing the product offer of the aircraft industry enterprises. From the standpoint of a systematic approach, the necessity of studying the adjacent air transportation market is reasonable, as well as the analysis of the correlation of its segmentation with the allocation of target segments of the aircraft market. When conducting a competitive analysis, we propose to consider the market position not only of certain types of civil aircraft, but also of aircraft families. Modeling marketing management shows the role of positioning in the processes of creating, manufacturing and operating aircraft. A distinctive feature of the procedure is the proposed stage of evaluating the effectiveness of the selected product position implementation, which allows us to analyze the feasibility of marketing decisions throughout the product life cycle. Special attention is paid to the issues of information support. The research results presented here reflect the specifics of the marketing activities of aviation industry enterprises and contribute to the development of the conceptual foundations of industrial marketing.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67930089","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}
Pub Date : 2021-12-31DOI: 10.17323/2587-814x.2021.4.22.35
G. Zhukova, M. Ulyanov
In business informatics, one of the research subjects is the analysis of data on processes in applied subject areas; here problems of qualitative analysis arise. Such problems arise, for example, in the qualitative study of log files of business processes, in the analysis and prediction of time series and other processes of a different nature. Quite often, to represent information about the processes under study, the methods of qualitative analysis use symbolic coding, which makes it possible to remove unnecessary detailing of numerical descriptions. The relevance of this study is due to the fact that when working with the raw data, researchers often face the presence of noise and distortions of the data, which significantly complicates the solution of the problems of qualitative analysis. When working with symbolic representations of the processes under study, which quite often have a periodic nature, we observe noise of deletion, insertion and replacement of symbols, which complicate the solution of the problem of revealing and analyzing the periodicity. This article deals with the problem of recovering periodic symbolic sequences obtained by coding from samples of continuous periodic functions and distorted by noise of insertion, replacement and deletion of symbols. Trigonometric functions are considered as a specific example of synthetic time series data. To encode trigonometric functions, alphabets of various cardinalities are used. The article presents an experimental study of the dependence of the quality characteristics of the method of period and a periodically repeating fragment recovery, previously proposed by the authors and improved in this study. For alphabets of different cardinalities at fixed sampling intervals, the fraction of sequences with a satisfactorily reconstructed period and the relative error in determining the period are given. The quality of reconstruction of a periodically repeating fragment is estimated by the edit distance from the reconstructed periodic sequence to the original sequence distorted by noise.
{"title":"To the question of restoring symbol sequences encoding noisy periodic functions","authors":"G. Zhukova, M. Ulyanov","doi":"10.17323/2587-814x.2021.4.22.35","DOIUrl":"https://doi.org/10.17323/2587-814x.2021.4.22.35","url":null,"abstract":"In business informatics, one of the research subjects is the analysis of data on processes in applied subject areas; here problems of qualitative analysis arise. Such problems arise, for example, in the qualitative study of log files of business processes, in the analysis and prediction of time series and other processes of a different nature. Quite often, to represent information about the processes under study, the methods of qualitative analysis use symbolic coding, which makes it possible to remove unnecessary detailing of numerical descriptions. The relevance of this study is due to the fact that when working with the raw data, researchers often face the presence of noise and distortions of the data, which significantly complicates the solution of the problems of qualitative analysis. When working with symbolic representations of the processes under study, which quite often have a periodic nature, we observe noise of deletion, insertion and replacement of symbols, which complicate the solution of the problem of revealing and analyzing the periodicity. This article deals with the problem of recovering periodic symbolic sequences obtained by coding from samples of continuous periodic functions and distorted by noise of insertion, replacement and deletion of symbols. Trigonometric functions are considered as a specific example of synthetic time series data. To encode trigonometric functions, alphabets of various cardinalities are used. The article presents an experimental study of the dependence of the quality characteristics of the method of period and a periodically repeating fragment recovery, previously proposed by the authors and improved in this study. For alphabets of different cardinalities at fixed sampling intervals, the fraction of sequences with a satisfactorily reconstructed period and the relative error in determining the period are given. The quality of reconstruction of a periodically repeating fragment is estimated by the edit distance from the reconstructed periodic sequence to the original sequence distorted by noise.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46803981","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}
Pub Date : 2021-12-31DOI: 10.17323/2587-814x.2021.4.76.92
Yury F. Telnov, Vasily Kazakov, A. Danilov
The creation of network enterprises based on the digital technologies of the Industrie 4.0 (the 4th Industrial Revolution, i4.0) opens broad opportunities for increasing production flexibility, customer focus and continuous innovation in products and services provided. At the same time, new opportunities necessitate the development of new methods and technologies for designing innovative processes in the context of digital i4.0 platforms, all of which highlights the relevance of the presented research topic. This work aims to define technologies for designing innovative processes to create products and services using i4.0 systems which are based on multi-agent interaction of asset administration shells (AAS), displaying digital twins of product components, and the use of ontological and cognitive methods for forming and justifying design decisions. The work presented here uses the Domain-Driven Design approach, an architectural framework for building i4.0 systems, methods of ontological engineering, quality function deployment (QFD), analysis of the types and consequences of potential inconsistencies (FMEA) and processing of fuzzy sets. The paper proposes principles for identifying bounded contexts of the domain under the design activities for the stages of the life cycle and products’ subsystems (components). For bounded contexts of the domain, it is envisaged to create AAS of i4.0 systems, with the help of which the innovative process is supported and the multi-agent interaction of its participants is carried out. As cognitive tools for making design decisions, we proposed to use services for assessing the importance of the determined quality characteristics of products and minimizing deviations of the proposed solutions from the formed functional and non-functional requirements. The methods of ontological engineering and data modelling allow us to dynamically develop an innovative project and support various versions of the project in the design process. Application of the proposed technology for designing innovative processes to create products and services at network enterprises using i4.0 systems will improve the quality of design decisions, increase the dynamism and continuous design of innovative projects.
{"title":"Technology for designing innovative processes for creating products and services of a network enterprise using an i4.0 knowledge-based system","authors":"Yury F. Telnov, Vasily Kazakov, A. Danilov","doi":"10.17323/2587-814x.2021.4.76.92","DOIUrl":"https://doi.org/10.17323/2587-814x.2021.4.76.92","url":null,"abstract":"The creation of network enterprises based on the digital technologies of the Industrie 4.0 (the 4th Industrial Revolution, i4.0) opens broad opportunities for increasing production flexibility, customer focus and continuous innovation in products and services provided. At the same time, new opportunities necessitate the development of new methods and technologies for designing innovative processes in the context of digital i4.0 platforms, all of which highlights the relevance of the presented research topic. This work aims to define technologies for designing innovative processes to create products and services using i4.0 systems which are based on multi-agent interaction of asset administration shells (AAS), displaying digital twins of product components, and the use of ontological and cognitive methods for forming and justifying design decisions. The work presented here uses the Domain-Driven Design approach, an architectural framework for building i4.0 systems, methods of ontological engineering, quality function deployment (QFD), analysis of the types and consequences of potential inconsistencies (FMEA) and processing of fuzzy sets. The paper proposes principles for identifying bounded contexts of the domain under the design activities for the stages of the life cycle and products’ subsystems (components). For bounded contexts of the domain, it is envisaged to create AAS of i4.0 systems, with the help of which the innovative process is supported and the multi-agent interaction of its participants is carried out. As cognitive tools for making design decisions, we proposed to use services for assessing the importance of the determined quality characteristics of products and minimizing deviations of the proposed solutions from the formed functional and non-functional requirements. The methods of ontological engineering and data modelling allow us to dynamically develop an innovative project and support various versions of the project in the design process. Application of the proposed technology for designing innovative processes to create products and services at network enterprises using i4.0 systems will improve the quality of design decisions, increase the dynamism and continuous design of innovative projects.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44279295","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}
Pub Date : 2021-12-31DOI: 10.17323/2587-814x.2021.4.7.21
E. Korobov, Yulia Semernina, A. Usmanova, K. Odinokova
The modern global debt market features historically low average interest rates, convergence of yields on bonds with different maturities, an increase of yield curve inversion emergence frequency and a large-scale trend to automate financial decision making. The researchers’ attention in these fields is mainly focused on designing models that describe the state of the debt market as whole or its individual instruments in particular, as well as on risk management methods. At the same time, the specialized literature offers very few works concerning the topic of computer algorithms for bond portfolio selection based on traditional or advanced investment strategies. The aim of the present research is to create a modification of the existing algorithm of riding the yield curve strategy application, employing, first, average bond yield over the holding period instead of traditional bond yield to maturity; second, a developed algorithm for calculating the market spread on bonds; and, third, alternative risk evaluation indicators (compensation coefficients), which allow us to measure objectively price risk, liquidity risk, transaction costs risk and a general risk. The modification and the development of the algorithm for calculating the market spread were carried out using the direct measurement of the result technique, which entails application of the strategy to the data on bond issues received through the Moscow Exchange API. The selection of financial instruments was conducted in all sectors of the Russian debt market: public bonds, sub-federal and municipal bonds, corporate bonds. The modified algorithm enabled us to get extra yield for each selected bond issue, thereby proving the high effectiveness of the technique compared to the traditional strategy. Software implementation of the algorithm can be integrated into any robotized or semi-robotized stock exchange trading application.
{"title":"Robotizing bond portfolio selection on the Russian debt market on the basis of a modified strategy of riding the yield curve","authors":"E. Korobov, Yulia Semernina, A. Usmanova, K. Odinokova","doi":"10.17323/2587-814x.2021.4.7.21","DOIUrl":"https://doi.org/10.17323/2587-814x.2021.4.7.21","url":null,"abstract":"The modern global debt market features historically low average interest rates, convergence of yields on bonds with different maturities, an increase of yield curve inversion emergence frequency and a large-scale trend to automate financial decision making. The researchers’ attention in these fields is mainly focused on designing models that describe the state of the debt market as whole or its individual instruments in particular, as well as on risk management methods. At the same time, the specialized literature offers very few works concerning the topic of computer algorithms for bond portfolio selection based on traditional or advanced investment strategies. The aim of the present research is to create a modification of the existing algorithm of riding the yield curve strategy application, employing, first, average bond yield over the holding period instead of traditional bond yield to maturity; second, a developed algorithm for calculating the market spread on bonds; and, third, alternative risk evaluation indicators (compensation coefficients), which allow us to measure objectively price risk, liquidity risk, transaction costs risk and a general risk. The modification and the development of the algorithm for calculating the market spread were carried out using the direct measurement of the result technique, which entails application of the strategy to the data on bond issues received through the Moscow Exchange API. The selection of financial instruments was conducted in all sectors of the Russian debt market: public bonds, sub-federal and municipal bonds, corporate bonds. The modified algorithm enabled us to get extra yield for each selected bond issue, thereby proving the high effectiveness of the technique compared to the traditional strategy. Software implementation of the algorithm can be integrated into any robotized or semi-robotized stock exchange trading application.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41845749","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：