Corporate Information Systems Research Articles

Information Support of Educationalists as an Important Function of a Postgraduate Education System

The conducted research on the status of information support of educationalists made it possible to install that such basic functions of scientific and pedagogical information as analytical-prognostic, integrative, and a function of operational and purposeful formation of various categories of specialists at present are not sufficiently implemented. This can be accounted for by the versatility and complexity of pedagogical process itself, as well as by a low level and limited range of developing operational systems differentiated scientific and methodological services to various categories of teaching staff. The research classified the types of information required in the system of postgraduate education of teaching staff. Based on the theoretical analysis of information access in the system of postgraduate pedagogical education (PPE), and programs of information and library service of teaching staff, it has been rationalized that there is a great necessity for establishing centers of scientific and information support aiming at improving the qualification of teaching staff. With this in view, ways of improving the informational function of PPE have been thoroughly studied and revealed. The most significant of them suggests that an automated corporate information system and a corresponding Internet site must be created. This can ensure the remote search and delivery of electronic materials from the funds of the State scientific and pedagogical library, and the libraries of educational institutions; an exchange of resources with other libraries and organizations; developing information and telecommunication technologies in institutions of postgraduate education; training teachers to use computer technologies, etc.

Sales prediction of Four Wheelers Unit (4W) with seasonal algorithm Trend Decomposition with Loess (STL) in PT. Astra International, Tbk

Corporate Information System and Technology (CIS&T) division in PT Astra International Tbk is digitizing all business lines. Therefore, the company started to utilize machine learning to predict four wheelers (4W) sales in 2017. Data used were car sales data from 2014 to 2016. The data were obtained from company’s data warehouse (DW). Further, to develop application, firstly, Minitab was used to compare algorithm in modelling phase. Then, Azure Machine Learning Studio (Azure ML) was utilized to build prediction model based on algorithm chose in first phase. Finally, visualization was developed using Power Business Intelligence (Power BI). Time series algorithm used to solve the case is Seasonal Trend Decomposition with Loess (STL). While, machine learning model uses R library, and process flow module in Azure ML. The STL prediction model yield 9.38% error. Visualization of result is divided into two sections filtered by three parameters type, color and area. The first section in dashboard is sales data report showing percentage of type, color of cars and deployment of 4W units in Indonesia through ArcGIS Maps. The second section is forecast result containing chart of x axis to represent year and y axis to represent number of units. Further, the chart provide historical, current and forecast information. The research contributes to illustrate development of prediction using machine learning in industrial environment.

Organized management of decentralized economic production systems with joint implementation of development projects

Since integration and cooperation of enterprises have become important preconditions for the success of their operation, the organization of management of integrated economic production systems must thus take into account the features of decentralized decision-making by locally optimized economic entities. In this regard, the aim of the work was to establish a theoretical basis for the organization of management of joint implementation of development projects by participants of decentralized economic production systems based on business engineering technology. The hypothesis of the study is that such organizational regulation of interaction can be implemented through the creation of a set of business rules distributed among the participants of an economic production system. The regulation of business rules and the organization of communications between economic agents are implemented using the Design and Engineering Methodology for Organizations, DEMO. Within the framework of applying the DEMO methodology, a set of key roles of the stakeholders is defined. The set of top-level communication models of the participants of economic production systems has been developed, and groups of rules for maintaining the sustainability of the economic production system have been identified. The resulting models can be correlated with the standards of architectural modelling of complex systems. The logic of this correlation is represented by the example of the ArchiMate architectural modelling language. The relevance of this correlation is due to the creation of a basis for the deployment of a corporate information system and optimization of business processes of the economic production system.

Quantitative assessment of the potential of retail outlets

Purpose of the study . Improving the speed and efficiency of decision-making on the development of sales of products by manufacturing companies based on the application of quantitative estimates of the potential of retail outlets, using automated methods of intellectual data analysis of Big Data. In order to create new mechanisms for the intellectual management of enterprises (economic agents) in the concept of the digital economy, it is necessary to simulate the processes of their interaction in the organizational market environment from the perspective of a multi-agent approach. The approach describes cybernetic mechanisms of interaction of agents with the ability to adapt to the needs of the population based on the analysis of market situations in order to develop intelligent management systems for enterprises to increase their market potential and competitiveness. Today the paradigm of open complex systems is used to simulate and analyze the mechanisms and processes of interaction of agents in the market environment. The main modern functioning of enterprises are corporate information systems, telecommunication networks, Internet technologies, mobile communication systems, Big Data, technologies of intellectual analysis, forecasting and machine learning. In addition, information for modeling, research and analysis of the market and the behavior of agents can be collected from open sources on the Internet. In the field of mass sales, the result of the introduction of innovative technologies is the support of decision-making in the process of managing the sales of goods and services in order to synthesize effective business-strategies for the production and sale of goods, aimed at increasing the company’s profits. From the point of view of the manufacturer, it is necessary to carry out strategic and tactical planning for the deployment and maintenance of the sales network through retail outlets that implement or have the potential to realize the company’s products. In the overwhelming majority of cases, experts make the collection and analysis of objective data on outlets, and the models for building quantitative estimates of the potential of outlets are used only the internal data on the sale of goods or partners. Materials and methods . The solution is based on the analog method of assessing the attractiveness of the outlet, used in marketing. Data mining techniques (various clustering methods) and the method of mathematical statistics - variance analysis are also used to solve this problem. Modern methods of processing large volumes of data and their intellectual analysis allow us to offer new methods for quantifying potential based on the analysis of the whole diversity of data stored in the open information sources. Results . A multi-stage method of quantitative assessment of the potential of retail outlets in ruble equivalent was proposed. A method has been developed for dividing retail outlets into strata based on features describing the position of the retail outlets, competitive environment, transport accessibility, and a typical consumer. A modification of the K-means clustering method is proposed. Conclusion . The paper proposes an approach to solving the task of promoting a wide range of products by the manufacturer through existing distribution networks. A method for quantitative assessment of the potential of outlets is proposed. The proposed method is based on the analog method of comparing outlets and uses the methods of clustering outlets across a wide range of indicators. The results of approbation of the approach on the data for 33 regions of the Russian Federation are given. The results of the work are planned to be used in the future to solve the problem of building a matrix of consumer preferences for outlets.

АВТОМАТИЗАЦИЯ БИЗНЕСА НА ОСНОВЕ CRM- СИСТЕМ


 
 
 
 Currently, the structure of corporate information systems stand out CRM-systems, allowing to automate customer relationships. As a result of scientific and practical research, the advantages and disadvantages of various CRM-platforms were analyzed and a number of software tools, that allow automating small and medium-sized businesses, were developed.
 
 
 

Комплексная информационная безопасность корпоративных информационных систем

Комплексная информационная безопасность корпоративных информационных систем

Corporate sustainability accounting information systems: a contingency-based approach

Purpose This paper aims to explore the development of sustainability accounting information systems through lens of contingency theory. In this digital age when companies are confronted with massive sets of data, integration of financial and non-financial data, little empirical evidence exists on how sustainability issues are integrated or linked within internal corporate information systems. Design/methodology/approach A questionnaire-based survey, hypothesis testing, principal component methods and hierarchical clustering are used to provide original empirical evidence from major Lithuanian companies. Findings The main findings reveal that most companies surveyed include a sustainability strategy in their core strategy, but there is a lack of linkage with measuring and integrating sustainability outcomes within the entirety of corporate financial results. Unexpectedly, the association between stakeholders' involvement and sustainability accounting information system design was not as strong as hypothesized theoretically. Therefore, it deserves further investigation, constituting an important implication for future research. Specifically, three profiles of sustainability accounting information systems were explained, namely, integrated, fragmented and compliance systems. Research limitations/implications The limitations of this study relate to the small sample size, as sustainability-related information is still regarded quite confidential. Practical implications This result could serve as a specific reference for companies to apply integrated sustainability accounting information systems that might serve as a good practice model for companies, however, fragmented and compliance profiles are the prevailing ones. Social implications The findings are important for fostering corporate social responsibility by developing sustainability accounting information systems. Originality/value This paper contributes to the sustainability accounting and information systems literature by providing empirical evidence linking contingent factors with the development of sustainability accounting information systems.

Study of the effectiveness of combinatorial protection algorithms based on the hardware and software of the electronic storage of corporate information systems

The paper presents experimental studies of combinatorial algorithms designed to calculate the composition and order of application of vulnerability parry tools, conducted on the basis of a typical electronic repository of the cultural institution information system. Experimental studies of data protection algorithms with the use of a neural network composition calculation unit and the order of application of vulnerability parry tools have been carried out. The proposed approach makes it possible to obtain a gain in time and efficiency (reliability) by using standard means of protecting software tools of large-scale electronic repositories, typical for large cultural institutions.

Classifcation of events in information security systems based on neural networks

Purpose of the research.The aim of the study is to increase the effectiveness of information security and to enhance accuracy and promptness of the classification of security events, security incidents, and threats in information security systems. To respond to this challenge, neural network technologies were suggested as a classification tool for information security systems. These technologies allow accommodating incomplete, inaccurate and unidentified raw data, as well as utilizing previously accumulated information on security issues. To address the problem more effectively, collective methods based on collective neural ensembles aligned with an advanced complex approach were implemented.Materials and methods:When solving complex classification problems, often none of the classification algorithms provides the required accuracy. In such cases, it seems reasonable to build compositions of algorithms, mutually compensating errors of individual algorithms. The study also gives an insight into the application of neural network ensemble to address security issues in the corporate information system and provides a brief review of existing approaches to the construction of neural network ensembles and methods to shape problem solving with neural networks classifiers. An advanced integrated approach is proposed to tackle problems of security event classification based on neural network ensembles (neural network committees). The approach is based on a three-step procedure. The stages of the procedure implementation are described. It is shown that the use of this approach facilitates the efficiency of solving the problem.Results:An advanced integrated approach to addressing security event classification based on neural network ensembles (neural network committees) is proposed. This approach applies adaptive reduction of neural network ensemble (selection of the best classifiers is based on the assessment of the compliance degree of the competence area of the private neural network classifier and convergence of the results of private classifiers), as well as the selection and rationale of the voting method (composition or aggregation of outputs of private classifiers). The results of numerical experiments support the effectiveness of the proposed approach.Conclusion:Collectively used artificial neural networks in the form of neural network ensembles (committees of neural networks) will provide more accurate and reliable results of security event classification in the corporate information network. Moreover, an advanced integrated approach to the construction of a neural network ensemble is proposed to facilitate effectiveness of the classification process. The approach is based on the application of the adaptive reduction procedure for the results of private classifiers and the procedure for selecting the method of aggregation of the results of private classifiers. These outcomes will enable advancement of the system control over information security incidents. Finally, the paper defines tendencies and directions of the development of collective solution methods applying neural network ensembles (committees of neural networks).

Algorithms for calculating the cost in the conditions of digitalization of industrial production

The current trends in the industrial production development are that the process chains are becoming more complex, and arranged in the network structures, and cost of production goods prevails more in prime cost. This leads to increasing digitalization of the business process - spread of corporate information systems covering various fields of enterprises. In this case, the key block of these systems is the product costing block. Due to the complexity of process relations and prevalence of costs that are not directly related to the production process, the costing is carried out in a simplified form with the exception of cause-effect relations. This article covers a number of actual oriented tools, the application of which is most effective in conditions of industry digitalization, namely, the use of iterative algorithms and a matrix model when forming a cost indicator, which are considered both in terms of labor intensity, and the capabilities of modeling various economic conditions of the enterprise. The first and second approaches are the use of an iterative algorithm using systems of linear equations both explicitly (directly mathematical model) and implicitly - the construction of a model within a spreadsheet. The third approach involves mathematical model building using the matrix algebra. Thus, these tools allow not only to accurately calculate and model product costs, but also to implement the potential of industrial production digitization and the use of corporate information systems in full.

Особливості оптимізації бізнес-процесів на підприємствах України

The article discusses the theoretical foundations and features of business process optimization, describes the characteristics of business process improvement methods. It defines the essence and highlights the advantages of Workflow as a method for describing business processes, technology of business organization and corporate information systems. Proved the need to implement the Workflow method in domestic enterprises in modern conditions, which leads to streamlining the activities of the enterprise, reducing it to clear procedures, improving business efficiency and competitiveness. The model of optimization of the strategic management of business processes of innovative development of an industrial enterprise is presented, which will allow the enterprise to achieve the planned results of innovation in the long term.

Digitalization of the university: construction of the integrated informational environment

The review article aims at formulating a systematic approach to the formation of an integrated information environment focused on the innovative development of educational services in the context of university digitalization. The methodological basis is the review of scientific publications on the problem of building an integrated information environment and knowledge management within the university, management technologies, and federal legislation on these issues. The article is practically significant due to its describing the tools and processes of knowledge management within the university, in formulating the tasks of the corporate information system, in developing recommendations on the structure of the integrated information environment of the university, focused on the target orientation in business processes management, in individualization of training, in the use of online courses and in network collaboration. The areas of using the managerial design model of the innovative educational services development are the knowledge management technologies linking with internal business processes and the external environment in the university's corporate information system, as well as the possibility of networking with consumers of educational services. The concept of the managerial design model formed the basis for improving, mostly in terms of academic knowledge, the network environment of theKazanNationalResearchTechnicalUniversitynamed after A. N. Tupolev. The article gives the strategic understanding of the role of the university's integrated information environment in online learning and research, in pro- viding training within the real economy, and in participating in network programs. The article is important because of the author's approach to the organization of an integrated information environment of the university, wherein academic and managerial knowledge are combined, as it is aimed at strengthening the competitive advantages of educational services and at achieving the goal of quality education. The article might be interesting for researchers in the field of knowledge management in higher education and for the practitioners of university business processes informatization. In the future, researchers will be able to more detailedly develop the information modules of the corporate information system and management tools of any university's organizational (academic and managerial) knowledge.

Algorithmic Solutions for RFID Tag Anti-Collision Problem in Supply Chain Management

The Radio Frequency IDentification (RFID) is a wireless communication technology that enables automatic identification, tracking and data collection from any tagged object in a supply chain operating environment. A simple RFID system uses radio signals to transmit data via a tiny portable device, called a tag, which is read by an RFID reader and processed by the corporate information system (IS) to meet the needs of business management. One of the important performance issues in this system is to resolve RFID tag collision. Tag collision happens when two or more tags reflects-back their individual identification radio signals to the reader at the same time thus confusing the reader identification process. Different algorithmic solutions on tag collision are available. They are generally in two main categories of anti-collision problems: ALOHA-based solutions and tree-based solutions. However, ALOHA-based algorithms suffer from a time-related starvation problem. The well-known tree-based algorithms are Binary Tree (BT) and Query Tree (QT). In addition, QT algorithms are very efficient in memory utilization in comparison to other algorithmic solutions. This paper presents simulation-based experimental results on the performance of some well-known BT-based algorithms: simple Binary Search Algorithm (BSA), Dynamic Binary Search Algorithm (DBSA), and Backtrack Binary Algorithm (BBA).

Внедрение корпоративных информационных систем для достижения стратегических показателей промышленных предприятий

Внедрение корпоративных информационных систем для достижения стратегических показателей промышленных предприятий

THE ROLE OF INFORMATIONAL AND ANALYTICAL SYSTEMS IN ACHIEVING THE STRATEGIC INDICATORS OF THE UNIVERSITY (on the example of Al-Farabi KazNU)

This article covers the development and application of information systems in the aspect of the formation of the information and educational environment at the university, on the example of the al-Farabi Kazakh National University. The authors of the article analyze the existing information programs – «Univer 2.0», «Science», the accounting and personnel records system «1C: Enterprise 8.2», the time accounting system «Perco 2.0», the electronic document management system «Directum», the statistical reporting system, contact – center «VoIPTime Contact Center», on the basis of which the Corporate Information System al-Farabi KazNU. According to the authors of the article, an integral part in the formation of the information and educational space, as well as a key factor in achieving the strategic indicators of the al-Farabi KazNU is the implementation, application and development of the information and analytical system Power BI of Microsoft.Key words: information and educational environment, information systems, al-Farabi Kazakh National University, Power BI, strategic university indicators.

Industrial Informatics: Towards the Researches and Modelling of Structural Materials’ Properties

Considers the possibility of applying the principles of Industrial Informatics to optimize the study and modelling of various structural materials and products on the example of intelligent software and hardware platform based on mathematical apparatus and modules. The ways of practical implementation of mathematical and bio-inspired algorithms and models for the developed software applications in the corporate information system of industrial enterprise paradigm-based Industry 4.0 are proposed.

MULTIAGENT APPROACH FOR MANAGING THE INFORMATION SPACE OF CORPORATE SYSTEMS

The subject matter of the study is the integration and management of information resources of distributed computing corporate systems within the common information space. The goal of the study is to develop scientifically based models for supporting intelligent technologies for the integration and management of information resources of distributed computing systems. In accordance with the goal of the study, the article deals with the following tasks : to develop a formal-logical model of the information space, to study and formalize agent-oriented tasks, to select the model of a software agent, to substantiate the information technology aimed at effective information management in corporate systems. The following results were obtained: a formal model of the information space of a corporate information system was developed; the role and place of a of the information system resources were determined; the concept of the task and the flow of tasks in the information space were considered and formalized; the definition of a software agent, multi-agent space and a multi-agent space management system were suggested; the model of the frame structure of knowledge representation modified by the authors is proposed as a logical model of a software agent. Conclusions. The analysis of domestic and foreign sources showed that the study in the field of integration of information resources of distributed systems and building a unified information space does not fully meet the modern requirements of users and developers of application software. Existing solutions based on integration technologies do not allow heterogeneous information structures to be actually integrated. Basing on the study of the main business processes in information systems user - information environment, a model of information multi-agent space of a computer system was developed and investigated. The main components of a multi-agent system were identified and basic entities were formally defined as a software agent and a multi-agent space. The agent-oriented approach to solving managerial problems and integrating information resources of distributed computing systems was formulated and substantiated.

ASSESSMENT OF RELIABILITY WHEN RECORDING THE SOFTWARE APPLIED IN THE OIL INDUSTRY

Currently existing corporate information systems have a large amount of software, which is growing at a fast pace. The main consumers of infor mation systems are objects of the oil industry, which plays a special role in economy of Russia. The global market of oil refining software for 2017 was estimated at $ 3.1 billion. It is predicted that in the coming years the market will grow much faster than in the period 2009 - 2017, by almost 20 % per year, and by 2024 will reach a volume of 14.7 billion dollars. The objects of the oil industry are complex from the point of view of automation, since an incident or accident can cause not only multimillion damages, but also cause local environmental disasters, as well as lead to numerous civilian casualties. Environmental pollution occurs during accidents on the oil pipeline, in pipelines and during operation of the equipment in excess of the standard period. The article presents an assessment of the life cycle of the software devel- oped by the authors for the oil industry in accordance with the relevant standards of the groups: IEEE, ISO, EIA and IEC. The main errors in the software developed by the authors used in the oil industry are considered. In the first and second software revealed a minor error, which is reflected in a marked decrease in the efficiency of the software, but does not lead to a failure in it. The third software revealed a significant error, which reduces the effectiveness of its work, or stops the functioning of the software without noticeable damage to the system.

Service-oriented analysis and design of corporate information systems

The article deals with the development of cloud computing technology. The application of artificial intelligence methods as the main direction of development of cloud technologies is singled out. An overview of intelligent cloud services is given.

Управління конкурентним потенціалом підприємства на основі оцінювання комплексу маркетингу

Управління конкурентним потенціалом підприємства на основі оцінювання комплексу маркетингу