Pub Date : 2019-03-31DOI: 10.17323/1998-0663.2019.1.18.32
A. Demidovskij, E. Babkin
{"title":"Developing a distributed linguistic decision making system","authors":"A. Demidovskij, E. Babkin","doi":"10.17323/1998-0663.2019.1.18.32","DOIUrl":"https://doi.org/10.17323/1998-0663.2019.1.18.32","url":null,"abstract":"","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2019-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42418740","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 : 2019-03-31DOI: 10.17323/1998-0663.2019.1.7.17
Vladimir I. Ananyin, Konstantin V. Zimin, R. Gimranov, M. Lugachev, K. Skripkin
This paper discusses real time control of an enterprise. The history of this concept is associated with the arrival of the real time enterprise (RTE) concept in 2002. The RTE concept has been interpreted variously, mainly in the areas of computer science and marketing. With the advent of new digital technologies and digital organizations, the RTE concept has received a new practical application in management. This paper discusses an important characteristic of the RTE concept - real time scale and the division value of this scale. The authors have investigated the factors influencing the division value of this scale. The composition of these factors includes not only management, but also digitalization factors. We propose considering the real time scale as a time characteristic of organization adaptation to dynamics, uncertainties and complexities that are present in its environment. In this case, the division value of the real time scale is the time that characterizes the limit after which there is a loss of control in the organization. There are two groups of factors influencing the division value of the real time scale: objective factors (for example, the speed of the actual operating processes), and subjective factors (for example, limitations on participants’ knowledge of the real situation and/or their opportunistic behavior). Nevertheless, the real time scale is a real phenomenon which has objective manifestations. In a well managed organization, management always spontaneously reaches a consensus regarding the division value of the real time scale. Meanwhile, the division value of real time scale is the time division value of a real clock which is sufficient for precise planning and control of deviations from the plan.
{"title":"Real time enterprise management in the digitalization era","authors":"Vladimir I. Ananyin, Konstantin V. Zimin, R. Gimranov, M. Lugachev, K. Skripkin","doi":"10.17323/1998-0663.2019.1.7.17","DOIUrl":"https://doi.org/10.17323/1998-0663.2019.1.7.17","url":null,"abstract":"This paper discusses real time control of an enterprise. The history of this concept is associated with the arrival of the real time enterprise (RTE) concept in 2002. The RTE concept has been interpreted variously, mainly in the areas of computer science and marketing. With the advent of new digital technologies and digital organizations, the RTE concept has received a new practical application in management. This paper discusses an important characteristic of the RTE concept - real time scale and the division value of this scale. The authors have investigated the factors influencing the division value of this scale. The composition of these factors includes not only management, but also digitalization factors. We propose considering the real time scale as a time characteristic of organization adaptation to dynamics, uncertainties and complexities that are present in its environment. In this case, the division value of the real time scale is the time that characterizes the limit after which there is a loss of control in the organization. There are two groups of factors influencing the division value of the real time scale: objective factors (for example, the speed of the actual operating processes), and subjective factors (for example, limitations on participants’ knowledge of the real situation and/or their opportunistic behavior). Nevertheless, the real time scale is a real phenomenon which has objective manifestations. In a well managed organization, management always spontaneously reaches a consensus regarding the division value of the real time scale. Meanwhile, the division value of real time scale is the time division value of a real clock which is sufficient for precise planning and control of deviations from the plan.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2019-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42085137","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 : 2019-03-31DOI: 10.17323/1998-0663.2019.1.71.81
M. Tumbinskaya, B. Bayanov, R. Rakhimov, Nikita Kormiltcev, A. Uvarov
{"title":"Analysis and forecast of undesirable cloud services traffic","authors":"M. Tumbinskaya, B. Bayanov, R. Rakhimov, Nikita Kormiltcev, A. Uvarov","doi":"10.17323/1998-0663.2019.1.71.81","DOIUrl":"https://doi.org/10.17323/1998-0663.2019.1.71.81","url":null,"abstract":"","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2019-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45841222","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 : 2019-03-31DOI: 10.17323/1998-0663.2019.1.59.70
N. Khachatryan, G. Beklaryan, S. Borisova, F. Belousov
В статье рассматривается модель организации железнодорожных грузоперевозок на протяженном участке пути между двумя узловыми станциями, соединенными большим количеством промежуточных станций. Между двумя произвольными соседними станциями расположен перегон для временного хранения части грузов. Движение грузопотока осуществляется в одном направлении. Для обеспечения бесперебойного движения грузопотока используются две технологии, единые для всех станций. Первая технология основана на процедуре взаимодействия станции как с соседними станциями, так и с соседними перегонами. Вторая технология использует технические возможности самой станции и основана на взаимодействии станции с соседними перегонами. Для грузоперевозок используется простая система контроля, предусматривающая измерение объемов перевозимых грузов на соседних станциях с единым лагом времени. Работа посвящена описанию и исследованию динамики количества путей, задействованных на перегонах. Для этого формируется система дифференциальных уравнений, правые части которых являются функциями переменных, описывающих динамику количества путей, задействованных на станциях. Отправной точкой для данного исследования являются полученные ранее результаты исследования динамики количества путей, задействованных на станциях (краткое описание этих результатов приведено во Введении). Приведено описание динамики числа путей, задействованных на перегонах. Исследованы возможные варианты этой динамики (рост числа задействованных путей на одних перегонах и падение на других) и их зависимость от параметров модели. Также исследована зависимость скорости изменения числа задействованных путей на перегонах от параметров модели. Выявлен параметр, управляя которым, можно обеспечить сколь угодно малую скорость роста (падения) числа путей, задействованных на всех перегонах.
{"title":"Research into the dynamics of railway track capacities in a model for organizing cargo transportation between two node stations","authors":"N. Khachatryan, G. Beklaryan, S. Borisova, F. Belousov","doi":"10.17323/1998-0663.2019.1.59.70","DOIUrl":"https://doi.org/10.17323/1998-0663.2019.1.59.70","url":null,"abstract":"В статье рассматривается модель организации железнодорожных грузоперевозок на протяженном участке пути между двумя узловыми станциями, соединенными большим количеством промежуточных станций. Между двумя произвольными соседними станциями расположен перегон для временного хранения части грузов. Движение грузопотока осуществляется в одном направлении. Для обеспечения бесперебойного движения грузопотока используются две технологии, единые для всех станций. Первая технология основана на процедуре взаимодействия станции как с соседними станциями, так и с соседними перегонами. Вторая технология использует технические возможности самой станции и основана на взаимодействии станции с соседними перегонами. Для грузоперевозок используется простая система контроля, предусматривающая измерение объемов перевозимых грузов на соседних станциях с единым лагом времени. Работа посвящена описанию и исследованию динамики количества путей, задействованных на перегонах. Для этого формируется система дифференциальных уравнений, правые части которых являются функциями переменных, описывающих динамику количества путей, задействованных на станциях. Отправной точкой для данного исследования являются полученные ранее результаты исследования динамики количества путей, задействованных на станциях (краткое описание этих результатов приведено во Введении). Приведено описание динамики числа путей, задействованных на перегонах. Исследованы возможные варианты этой динамики (рост числа задействованных путей на одних перегонах и падение на других) и их зависимость от параметров модели. Также исследована зависимость скорости изменения числа задействованных путей на перегонах от параметров модели. Выявлен параметр, управляя которым, можно обеспечить сколь угодно малую скорость роста (падения) числа путей, задействованных на всех перегонах.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2019-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67909721","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 : 2019-03-31DOI: 10.17323/1998-0663.2019.1.33.44
A. Akopov, A. Beklaryan, M. Thakur, Bhisham Dev Verma
This article presents a new approach to designing decision-making systems for socio-economic and ecological planning using parallel real-coded genetic algorithms (RCGAs), aggregated with simulation models by objective functions. A feature of this approach is the use of special agent-processes, which are autonomous genetic algorithms (GAs) acting synchronously in parallel streams and exchanging periodically by the best potential decisions. This allows us to overcome the premature convergence problem in local extremums. In addition, it was shown that the combined use of diff erent crossover and mutation operators signifi cantly improves the time effi ciency of RCGAs, as well as the quality of the decisions obtained (proximity to optimum), providing a more diverse population of potential decisions (individuals). In this paper, several suggested crossover and mutation operators are used, in particular, a modified simulated binary crossover (MSBX) and scalable uniform mutation through objective functions with a simulation model of a trading (SUM), quantization of the feasible region of the (dividing the feasible region on small subranges with equal lengths) while taking into the common amount of interacting agent-processes and the maximum number of internal iterations of GAs forming potential decisions through selection, crossover and mutation. of of heuristic operators on the corresponding characteristics, aggregated with the combined probabilistic use of various crossover and mutation operators, it possible to get maximum effect from the multi-processes architecture. a the computational possibilities of RCGAs for solving large-scale optimization problems (hundreds and thousands of decision variables, multiple objective functions) become dependent only on the physical characteristics of the existing computing clusters. This makes it possible to efficiently use supercomputer technologies. An important advantage of the proposed system is the implemented integration between the developed parallel RCGA (implemented in C++ and MPI) and the simulation modelling system AnyLogic (Java) using JNI technology. Such an approach allows one to synthesize real world optimization problems in decision-making systems of socio-economic and ecological planning, using simulation methods supported by AnyLogic. The result is an eff ective solution to single-objective and multi-objective optimization tasks of large dimension, in which the objective functionals are the result of simulation modeling and cannot be obtained analytically.
{"title":"Developing parallel real-coded genetic algorithms for decision-making systems of socio-ecological and economic planning","authors":"A. Akopov, A. Beklaryan, M. Thakur, Bhisham Dev Verma","doi":"10.17323/1998-0663.2019.1.33.44","DOIUrl":"https://doi.org/10.17323/1998-0663.2019.1.33.44","url":null,"abstract":"This article presents a new approach to designing decision-making systems for socio-economic and ecological planning using parallel real-coded genetic algorithms (RCGAs), aggregated with simulation models by objective functions. A feature of this approach is the use of special agent-processes, which are autonomous genetic algorithms (GAs) acting synchronously in parallel streams and exchanging periodically by the best potential decisions. This allows us to overcome the premature convergence problem in local extremums. In addition, it was shown that the combined use of diff erent crossover and mutation operators signifi cantly improves the time effi ciency of RCGAs, as well as the quality of the decisions obtained (proximity to optimum), providing a more diverse population of potential decisions (individuals). In this paper, several suggested crossover and mutation operators are used, in particular, a modified simulated binary crossover (MSBX) and scalable uniform mutation through objective functions with a simulation model of a trading (SUM), quantization of the feasible region of the (dividing the feasible region on small subranges with equal lengths) while taking into the common amount of interacting agent-processes and the maximum number of internal iterations of GAs forming potential decisions through selection, crossover and mutation. of of heuristic operators on the corresponding characteristics, aggregated with the combined probabilistic use of various crossover and mutation operators, it possible to get maximum effect from the multi-processes architecture. a the computational possibilities of RCGAs for solving large-scale optimization problems (hundreds and thousands of decision variables, multiple objective functions) become dependent only on the physical characteristics of the existing computing clusters. This makes it possible to efficiently use supercomputer technologies. An important advantage of the proposed system is the implemented integration between the developed parallel RCGA (implemented in C++ and MPI) and the simulation modelling system AnyLogic (Java) using JNI technology. Such an approach allows one to synthesize real world optimization problems in decision-making systems of socio-economic and ecological planning, using simulation methods supported by AnyLogic. The result is an eff ective solution to single-objective and multi-objective optimization tasks of large dimension, in which the objective functionals are the result of simulation modeling and cannot be obtained analytically.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2019-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47735255","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 : 2019-01-01DOI: 10.17323/1998-0663.2019.3.35.51
D. Bidzhoyan, Tatiana Bogdanova, D. Neklyudov
{"title":"Credit risk stress testing in a cluster of Russian commercial banks","authors":"D. Bidzhoyan, Tatiana Bogdanova, D. Neklyudov","doi":"10.17323/1998-0663.2019.3.35.51","DOIUrl":"https://doi.org/10.17323/1998-0663.2019.3.35.51","url":null,"abstract":"","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67910673","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 : 2018-12-31DOI: 10.17323/1998-0663.2018.4.7.16
Yuriy P. Yekhlakov, E. I. Gribkov
This article offers a long short-term memory (LSTM) based structured prediction model taking into account existing approaches to sequence tagging tasks and allowing for extraction of user opinions from reviews. We propose a model configuration and state transition rules which allow us to use past predictions of the model alongside sentence features. We create a body of annotated user reviews about mobile phones from Amazon for model training and evaluation. The model trained on reviews corpus with recommended hyperparameter values. Experiment shows that the proposed model has a 4.51% increase in the F1 score for aspects detection and a 5.44% increase for aspect descriptions compared to the conditional random field (CRF) model with the use of LSTM when F1 spans are matched strictly. The extraction of user opinions on mobile phones from reviews outside of the collected corpus was conducted as practical confirmation of the proposed model. In addition, opinions from other product categories like skin care products, TVs and tablets were extracted. The examples show that the model can successfully extract user opinions from different kinds of reviews. The results obtained can be useful for computational linguists and machine learning professionals, heads and managers of online stores for consumer preference determination, product recommendations and for providing rich catalog searching tools.This study was conducted under government order of the Ministry of Education and Science of Russia, project No. 8.8184.2017/8.9
{"title":"User opinion extraction model concerning consumer properties of products based on a recurrent neural network","authors":"Yuriy P. Yekhlakov, E. I. Gribkov","doi":"10.17323/1998-0663.2018.4.7.16","DOIUrl":"https://doi.org/10.17323/1998-0663.2018.4.7.16","url":null,"abstract":"This article offers a long short-term memory (LSTM) based structured prediction model taking into account existing approaches to sequence tagging tasks and allowing for extraction of user opinions from reviews. We propose a model configuration and state transition rules which allow us to use past predictions of the model alongside sentence features. We create a body of annotated user reviews about mobile phones from Amazon for model training and evaluation. The model trained on reviews corpus with recommended hyperparameter values. Experiment shows that the proposed model has a 4.51% increase in the F1 score for aspects detection and a 5.44% increase for aspect descriptions compared to the conditional random field (CRF) model with the use of LSTM when F1 spans are matched strictly. The extraction of user opinions on mobile phones from reviews outside of the collected corpus was conducted as practical confirmation of the proposed model. In addition, opinions from other product categories like skin care products, TVs and tablets were extracted. The examples show that the model can successfully extract user opinions from different kinds of reviews. The results obtained can be useful for computational linguists and machine learning professionals, heads and managers of online stores for consumer preference determination, product recommendations and for providing rich catalog searching tools.This study was conducted under government order of the Ministry of Education and Science of Russia, project No. 8.8184.2017/8.9","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49166593","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 : 2018-12-31DOI: 10.17323/1998-0663.2018.4.28.42
E. Vasilieva, V. Pulyaeva, V. Yudina
In the international field of public services, the competence approach is used as a basis for developing productivity, innovation and responsibility among employees. In Russia, the competence approach is central to legislative and regulatory documents but has not yet become a working tool. Russia’s transition to the digital economy in accordance with the Federal Program necessitates the transformation of professional qualities and qualification requirements for positions of the state civil service. The development of a single information space of the State Civil Service and the widespread introduction of e-government technologies impose increased requirements on public servants’ competencies in the field of information and communication technologies. However, studies have shown that until now, Russian civil servants consider as a primary priority only those competencies that focus on results, discipline, time and stress management skills, and to a lesser degree adaptability, willingness to change, creativity, initiative, and adopting new ideas and innovations. Management by competences requires an individual approach, taking into account the characteristics of each employee, as well as the development and implementation of competence models, in which all aspects of work in the digital world should be reflected. The aim of the study is to develop guidelines for improving official regulations of state civil servants in terms of qualification requirements for competencies in the field of information and communication technologies (ICT). The use of comparative analysis methods in the study of the content of official regulations of state civil service in various subjects of the Russian Federation, as well as an expert survey on the content and current level of development of ICT competencies of civil servants allowed the authors to identify “basic,” “advanced” and “special” components in the structure of competencies. We also propose methodological recommendations for the transformation of ICT competences into digital components that provide an expanded set of knowledge and skills required for the digitalization of the civil service. These changes will allow the HR services of public authorities of the Russian Federation to provide a unified approach to the formation of requirements for the maturity level of digital competencies of applicants seeking positions in the state civil service. It also will help to implement a targeted approach in the formation of programs for the development of personnel potential, taking into account the requirements of digital literacy.The article is based on the results of studies carried out using budget funds and the 2018 Financial University State Mission “Improvement of information support for personnel management system based on the competence approach and individual career tracking of civil servants”, state registration number AAA-A18-118052490063-1
{"title":"Digital competence development of state civil servants in the Russian Federation","authors":"E. Vasilieva, V. Pulyaeva, V. Yudina","doi":"10.17323/1998-0663.2018.4.28.42","DOIUrl":"https://doi.org/10.17323/1998-0663.2018.4.28.42","url":null,"abstract":"In the international field of public services, the competence approach is used as a basis for developing productivity, innovation and responsibility among employees. In Russia, the competence approach is central to legislative and regulatory documents but has not yet become a working tool. Russia’s transition to the digital economy in accordance with the Federal Program necessitates the transformation of professional qualities and qualification requirements for positions of the state civil service. The development of a single information space of the State Civil Service and the widespread introduction of e-government technologies impose increased requirements on public servants’ competencies in the field of information and communication technologies. However, studies have shown that until now, Russian civil servants consider as a primary priority only those competencies that focus on results, discipline, time and stress management skills, and to a lesser degree adaptability, willingness to change, creativity, initiative, and adopting new ideas and innovations. Management by competences requires an individual approach, taking into account the characteristics of each employee, as well as the development and implementation of competence models, in which all aspects of work in the digital world should be reflected. The aim of the study is to develop guidelines for improving official regulations of state civil servants in terms of qualification requirements for competencies in the field of information and communication technologies (ICT). The use of comparative analysis methods in the study of the content of official regulations of state civil service in various subjects of the Russian Federation, as well as an expert survey on the content and current level of development of ICT competencies of civil servants allowed the authors to identify “basic,” “advanced” and “special” components in the structure of competencies. We also propose methodological recommendations for the transformation of ICT competences into digital components that provide an expanded set of knowledge and skills required for the digitalization of the civil service. These changes will allow the HR services of public authorities of the Russian Federation to provide a unified approach to the formation of requirements for the maturity level of digital competencies of applicants seeking positions in the state civil service. It also will help to implement a targeted approach in the formation of programs for the development of personnel potential, taking into account the requirements of digital literacy.The article is based on the results of studies carried out using budget funds and the 2018 Financial University State Mission “Improvement of information support for personnel management system based on the competence approach and individual career tracking of civil servants”, state registration number AAA-A18-118052490063-1","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44806028","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 : 2018-12-31DOI: 10.17323/1998-0663.2018.4.54.65
M. Shtefan, Julia Elizarova
While evaluating and selecting investment projects, modern companies are confronted with the problem of setting priorities between profitability and riskiness of these projects. Choice of a project on the basis of its profitability significantly increases risks of financial and economic activities and decreases the certainty of achieving the planned financial result. On the other hand, attempts to decrease investment projects risks may not allow one to achieve the desired profitability level. Therefore, it is vital to develop integrated multi-criteria indicators for this purpose. This article is the result of the authors’ development of an integral indicator for evaluating investment project efficiency and risks. The developed integral indicator has a matrix form. To compile the integral indicator, three groups of criteria are used: quantitative efficiency criteria, qualitative efficiency criteria and risk evaluation criteria. We propose to divide the qualitative and quantitative criteria into: 1) those defining the commercial (economic) efficiency of projects, 2) those defining their budgetary efficiency; 3) those defining their social efficiency. According to the authors, the list of criteria that define associated risks should include macroeconomic indicators and industry affiliation indicators that provide a comprehensive evaluation of the external economic situation on the corresponding market. While evaluating efficiency and riskiness of the given projects, the integral indicator developed by the authors is converted from matrix form into a quantitative indicator that is easy to interpret. The authors propose to use principal component analysis and heuristic methods (including ranking method and hierarchy analysis method) for this purpose. The results of this research can be used by companies to select investment projects.
{"title":"Investment project efficiency and risk evaluation: an integrated approach","authors":"M. Shtefan, Julia Elizarova","doi":"10.17323/1998-0663.2018.4.54.65","DOIUrl":"https://doi.org/10.17323/1998-0663.2018.4.54.65","url":null,"abstract":"While evaluating and selecting investment projects, modern companies are confronted with the problem of setting priorities between profitability and riskiness of these projects. Choice of a project on the basis of its profitability significantly increases risks of financial and economic activities and decreases the certainty of achieving the planned financial result. On the other hand, attempts to decrease investment projects risks may not allow one to achieve the desired profitability level. Therefore, it is vital to develop integrated multi-criteria indicators for this purpose. This article is the result of the authors’ development of an integral indicator for evaluating investment project efficiency and risks. The developed integral indicator has a matrix form. To compile the integral indicator, three groups of criteria are used: quantitative efficiency criteria, qualitative efficiency criteria and risk evaluation criteria. We propose to divide the qualitative and quantitative criteria into: 1) those defining the commercial (economic) efficiency of projects, 2) those defining their budgetary efficiency; 3) those defining their social efficiency. According to the authors, the list of criteria that define associated risks should include macroeconomic indicators and industry affiliation indicators that provide a comprehensive evaluation of the external economic situation on the corresponding market. While evaluating efficiency and riskiness of the given projects, the integral indicator developed by the authors is converted from matrix form into a quantitative indicator that is easy to interpret. The authors propose to use principal component analysis and heuristic methods (including ranking method and hierarchy analysis method) for this purpose. The results of this research can be used by companies to select investment projects.","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43911929","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 : 2018-12-31DOI: 10.17323/1998-0663.2018.4.43.53
S. P. Novikov, Olga V. Mikheenko, N. Kulagina, O. Kazakov
At a time when the digital economy is emerging, the preservation and multiplication of intellectual capital, which is currently a key factor in social development, are paramount. The national economy’s orientation toward the use of modern achievements of the digital industry will contribute to a faster transition to the global information society. Digitalization of education will make it possible to use the latest scientific achievements for the development of other areas of life in society. This study presents a model that applies distributed registry technologies based on blockchains and smart contracts for the reliable storage and efficient use of date relating to the population’s professional competencies. This model aims to create a unified information environment for interaction between all the actors of the economic system. The authors developed the model for registering professional competencies of the population and their developmental paths based on modern digital technologies. We substantiate the efficiency and security assured by blockchain technology for information storage and transmission. Educational institutions of all levels, governmental authorities controlling education, and people taking part in the educational process are the basic actors of the system presented. The proposed model presents the educational level and professional skills of each registered person as an education index (EI), which keeps track of all educational achievements and professional competencies of the participant over their lifetime. When calculating the EI, the authors also propose to consider ratings of the educational institutions responsible for the participant’s professional skills. The implementation of the EI will significantly simplify the process of employing graduates from various educational institutions, as well as the college admissions process. In addition, analytic tools could be used to create ratings of colleges, school departments, and even specific teachers. The registry of professional competencies we developed is directed at the processing and storage of large volumes of data (Big Data). In the future, this will allow us to open access to the registry to employers, pension insurance funds, and other state authorities that require complete and reliable personal data.This study was supported by the Russian Foundation for Basic Research, project No. 18-410-32000218 “The concept of innovative management of the development of regional economy in the digitalization era: a project-based approach”
{"title":"Digital registry of professional competences of the population drawing on distributed registries and smart contracts technologies","authors":"S. P. Novikov, Olga V. Mikheenko, N. Kulagina, O. Kazakov","doi":"10.17323/1998-0663.2018.4.43.53","DOIUrl":"https://doi.org/10.17323/1998-0663.2018.4.43.53","url":null,"abstract":"At a time when the digital economy is emerging, the preservation and multiplication of intellectual capital, which is currently a key factor in social development, are paramount. The national economy’s orientation toward the use of modern achievements of the digital industry will contribute to a faster transition to the global information society. Digitalization of education will make it possible to use the latest scientific achievements for the development of other areas of life in society. This study presents a model that applies distributed registry technologies based on blockchains and smart contracts for the reliable storage and efficient use of date relating to the population’s professional competencies. This model aims to create a unified information environment for interaction between all the actors of the economic system. The authors developed the model for registering professional competencies of the population and their developmental paths based on modern digital technologies. We substantiate the efficiency and security assured by blockchain technology for information storage and transmission. Educational institutions of all levels, governmental authorities controlling education, and people taking part in the educational process are the basic actors of the system presented. The proposed model presents the educational level and professional skills of each registered person as an education index (EI), which keeps track of all educational achievements and professional competencies of the participant over their lifetime. When calculating the EI, the authors also propose to consider ratings of the educational institutions responsible for the participant’s professional skills. The implementation of the EI will significantly simplify the process of employing graduates from various educational institutions, as well as the college admissions process. In addition, analytic tools could be used to create ratings of colleges, school departments, and even specific teachers. The registry of professional competencies we developed is directed at the processing and storage of large volumes of data (Big Data). In the future, this will allow us to open access to the registry to employers, pension insurance funds, and other state authorities that require complete and reliable personal data.This study was supported by the Russian Foundation for Basic Research, project No. 18-410-32000218 “The concept of innovative management of the development of regional economy in the digitalization era: a project-based approach”","PeriodicalId":41920,"journal":{"name":"Biznes Informatika-Business Informatics","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42538991","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}