Methodology for Designing Analytical Information Systems for Administrative Management




analytical information system, decisions made support, administrative management, ontology, analytic hierarchy process


Introduction. In the field of administrative management, the intensity of management activities and the amount of information that needs to be processed for decision-making are constantly growing. In these conditions, the use of new information technologies in the analytical information activities of administrative bodies and the construction of appropriate automated systems is of particular importance.
Problem Statement. There is an urgent need for a new approach to solving problems related to the develop ment of analytical information activities and the automation of administrative activities of the authorities. Such an approach should be based on information, consider the modern idea of information as an intellectual product, i.e. knowledge, and as a resource of society, and ensure the complexity of solutions.
Purpose. The purpose of this research is to develop a methodology for designing analytical systems based on the integration of concepts, models, methods and information technologies, given the requirements for the comp lexity of solutions.
Materials and Methods. The methodology is based on concepts, models, methods, and information technologies, given the requirements for complexity, support for management decisions based on knowledge-oriented tools, their comprehensive information support, support for document processing, information and cybersecurity, as well as the integration of analytical information systems with interoperability.
Results. Based on the study, an example of methodology for building a typical information and analytical system of administrative bodies has been proposed. It can be used in the construction of automated systems in various governments, in particular regional government.
Conclusions. The theoretical foundation is the regulations for the processing of document flows in the administrative authorities, based on the requirements of the policy of enforcement. The practical significance of the obtained results is the creation of a scientific and methodological framework for building analytical information systems in various areas of administrative management.


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Nesterenko, O., Trofymchuk, O. (2019). Patterns in forming the ontology-based environment of information-analytical activity in administrative management. Eastern-European Journal of Enterprise Technologies, 5(2), 33-42.

Gal, U., Riemer, K., Chasin, F. (2018). A Historical Perspective on Information Systems: A Tool and Methodology for Studying the Evolution of Social Representations on Wikipedia. Communications of the Association for Information Systems, 43, 711-750.

Walton, P. (2019). Information Evolution and Organisations. Information, 10(12), 29.

Michalczyk, S., Scheu, S. (2020). Designing an analytical information systems engineering method. 28th European Conference on Information Systems (ECIS 2020) (15-17 June 2020, Morocco). Marrakesh, Morocco, 57-61.

Manteghia, N., Jahromib, S. (2012). An Overview of Systems Design and Development Methodologies with Regard to the Involvement of Users and Other Stakeholders, Procedia Technology, 1, 308-312.

Schoormann, T., Kutzner, K. (2020). Towards Understanding Social Sustainability: An Information Systems ResearchPerspective. Forty-First International Conference on Information Systems ICIS 2020 (13-16 December, 2020, Hyderabad). Hyderabad, India, 1-17.

Pelizza, A. (2021). Towards a sociomaterial approach to inter-organizational boundaries: How information systems elicit relevant knowledge in government outsourcing. Journal of Information Technology, 36(2), 94-108.

Liu, X., Werder, K., Mädche, A. (2016). A Taxonomy of Digital Service Design Techniques. Thirty Seventh International Conference on Information Systems, ICIS 2016 (11-14 December, 2016, Dublin). Dublin, Ireland, 1-12.

Senivongse, C., Bennet, A., Mariano, S. (2017). Utilizing a systematic literature review to develop an integrated framework for information and knowledge management systems. VINE Journal of Information and Knowledge Management Systems, 47(2), 250-264.

Osypenko, V., Lurie, I., Yakobchuk, M., Savina, N., Boskin, O., Lytvynenko, V. (2019). About Innovation-Investment Designing of Complex Systems by Inductive Technology of System Information-Analytical Research. Proceedings of the 2019 10th IEEE international conference on intelligent data acquisition and advanced computing systems - technology and applications (IDAACS) (18-21 September, 2019, Metz). Metz, France, 1, 424-430.

Sandkuhl, K., Seigerroth, U. (2019). Method engineering in information systems analysis and design: a balanced scorecard approach for method improvement. Software & Systems Modeling, 18, 1833-1857.

Novak, A., Bashtannyk, V., Parkhomenko-Kutsevil, O., Kuybida, V., Kobyzhcha, N. (2021). Information and Analytical Support of Anti-Corruption Policy. International journal of computer science and network security, 21(3), 134-140.

Dalain, Ali F. (2019). Development methods of implementing analytical management information systems for technological monitoring of complex industrial purposes. International journal of computer science and network security, 19(4), 79-86.

Bouafia, Kh., Molnar, B. (2019). Analysis approach for enterprise information systems architecture based on hypergraph to aligned business process requirements. International Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist) (16-18 October, 2019, Sousse). Sousse, Tunisia, 164, 19-24.

Nalchigar, S., Yu, E. (2020). Designing Business Analytics Solutions. Business & Information Systems Engineering, 62(2), 1-15.

DeStefano, R. J., Tao, L., Gai, K. (2016). Improving Data Governance in Large Organizations through Ontology and Linked Data. IEEE 3rd International Conference on Cyber Security and Cloud Computing (25-27 June 2016, Beijing). Beijing, China, 279-284.

Almeida, M. B., Pessanha, C. P., Barcelos, R. (2017). Information Architecture for Organizations: An Ontological Approach. In book: Ontology for Information Science: Intech Publisher: Editors: Ciza Thomas.

Fill, H.-G. (2020). Enterprise Modeling: From Digital Transformation to Digital Ubiquity. Federated Conference on Computer Science and Information Systems (6-9 September, 2020, Sofia). Sofia, Bulgaria, 1-4.

Krijnen, C. (2017). What is Organization? From Organization Theory to Organizational Ontology. In book: The Very Idea of Organization. Series: Critical Studies in German Idealism, 16, 9-34.

Nesterenko, O. (2021). Ontology and Analytic Hierarchy Process in the information and analytical systems. Lecture notes in computational intelligence and decision making. Chapter No: 19 (Eds. S. Babichev et al.) ISDMCI 2020, AISC 1246, Springer, 302-314.

Nesterenko, O., Netesin, I., Polischuk, V., Trofymchuk, O. (2020). Development of a procedure for expert estimation of capabilities in defense planning under multicriterial conditions. Eastern-European Journal of Enterprise Technologies, 4(2), 33-43.

Nesterenko, A., Netesin, I. (2020). Cybersecurity graph model of information resources. Journal of automation and information sciences, 52(8), 14-31.




How to Cite

TROFYMCHUK, O., NESTERENKO, O., & NETESIN, I. (2022). Methodology for Designing Analytical Information Systems for Administrative Management. Science and Innovation, 18(4), 25–40.



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