MODERN TECHNOLOGIES FOR EVALUATING THE EFFECTIVENESS OF DIGITALIZATION
DOI:
https://doi.org/10.24025/2306-4412.2.2022.263563Keywords:
digitization, assessment, efficiency, information system, intelligent system, automation, decision makingAbstract
The paper examines modern technologies for evaluating the effectiveness of digitalization. The process of digitalization is analyzed. It is determined that an integral part of successful companies is a continuous rethinking of the company's development method aimed at a simple, economical and reliable work option, updating and following new trends in the market of technical developments. It has been established that digital transformation allows to optimize business processes, increase the profitability of the company and is focused on creating value to meet the needs of consumers. The stages of the digitalization implementation project, which include: analysis of current resources and processes; development of a plan for the transition to the use of new technologies together with the final goals; implementation of planned activities; evaluation and systematization of the obtained results, are presented. The main tasks of digitalization, such as: development and implementation of a plan for the transition to a new paradigm; migration of information flows into digital form; reduction or elimination of the human factor in typical tasks; automation of processes that can be automated, are indicated. The main problems of digitalization implementation, namely: determination of incorrect or ineffective criteria for evaluation of implemented measures; setting too abstract goals in the approach to the digitalization process; necessity to think ahead and build a map of interaction with the client, effective for both interested parties; retrospective of unsuccessful attempts at transformation; neglect or insufficient attention to cyber security, are presented. An analysis of the current state of technologies and methods for assessing the effectiveness of digitalization is performed. It is determined that in the process of implementing digitalization and evaluating its effectiveness, it is possible to apply intelligent decision support information systems that can adapt to a different set of criteria and their priorities. The basis of such systems may include the implementation of one of the well-known expert methods, as well as the use of multi-criteria optimization methods. The elements of the information system for evaluating the effectiveness of digitalization may include: interested persons, hardware, experts, decision-making complex, knowledge base, user interface. In further research, it is advisable to create a mathematical model for evaluating efficiency criteria and a model for evaluating the digitalization process itself.
References
M. Bogavac, and Z. Cekerevac, "IDSME index – new method for evaluation of SMEs digitalization", MEST Journal, vol. 2, no. 7, pp. 9-20, 2019.
European Commission, Digital Economy and Society Index – Methodology Note [Online]. Available: https://ec.europa.eu/ information_society/newsroom/image/ document/2018-20/desi-2018-methodology_E886EDCA-B32A-AEFB-07F5911DE975477B_52297.pdf. Accessed on: March 18, 2022.
A. Valiyev, F. V. oglu Rustamov, R. A. Huseynova, M. S. Orujova, and S. N. Musayeva, "The digitalization effec-tiveness as an innovative factor development of the agriculture in Azerbaijan", JEECAR, vol. 9, no. 2, pp. 194-205, 2022.
O. Pakhnenko, P. Rubanov, D. Hacar, V. Yatsenko, and I. Vida, "Digitalization of financial services in European countries: Evaluation and comparative analysis", Jour-nal of International Studies, no. 2, pp. 267-282, 2021.
V. Paulauskas, L. Filina-Dawidowicz, and D. Paulauskas, "Ports digitalization level evaluation", Sensors, vol. 21, no. 18, p. 6134, 2021.
A. Geyda, "Models and methods to estimate digitalization success predictively", in Proc. 21st Int. Workshop on Computer Science and Information Technologies, 2019.
T. V. Lazorenko, and I. L. Sholom, "Digi-talization as a major factor in business de-velopment", in Proc. І Int. Sci. and Pract. Conf. Business, Innovations, Management: Problems and Perspectives, Kyiv, 2020, pp. 50-51 [in Ukrainian].
Ukrainian Institute of the Future. "Ukraine 2030E is a country with a developed digital economy". [Online]. Available: https://strategy.uifuture.org/kraina-z-rozvinutoyu-cifrovoyu-ekonomikoyu.html Accessed on: Febr. 12, 2022 [in Ukrainian].
Common Digital Transformation Challenges & How to Overcome Them [Online]. Availa-ble: https://www.panorama-consulting.com/ digital-transformation-challenges. Accessed on: June 12, 2021.
Digitalization Problems [Online]. Available: https://gotodigital.es/en/digitalization-problems. Accessed on: June 12, 2021.
F. Misrudin, and Lee Ching Foong. "Digi-talization in semiconductor manufacturing-simulation forecaster approach in managing manufacturing line performance", Procedia Manufacturing, vol. 38, pp. 1330-1337, 2019.
R. Aglave, J. Lusty, and J. Nixon, "Using simulation and digitalization for modular process intensification", Chemical Engi-neering Progress, vol. 3, pp. 45-49, 2019.
L. D. Collou, G. W. J. Bruinsma, and M. J. van Riemsdijk, "Digitalization of HRM: Designing a simulation model for HR decision making: The development of a simulation for the alignment of HR-practices", in Proc. Int. Conf. of the Dutch HRM Network, Tilburg, Netherlands, 2019.
F. Schlüter, E. Hetterscheid, and M. Henke, "A simulation-based evaluation approach for digitalization scenarios in smart supply chain risk management", Journal of Indus-trial Engineering and Management Science, vol. 2017, no. 1, pp. 179-206, 2019.
DSTU 2960-94 Organization of industrial production. Basic concepts. Terms and defi-nitions [in Ukrainian].
Verkhovna Rada of Ukraine (1994, July 05), The Law of Ukraine no. 80/94-VR, On information protection in information and telecommunication systems, Vidomosti Verkhovnoi Rady Ukrainy, no. 31, art. 286, 1994. [Online]. Available: https://zakon.rada.gov.ua/laws/show/81/94-%D0%B2%D1%80 [in Ukrainian].
Downloads
Published
How to Cite
Issue
Section
URN
License
Copyright (c) 2022 Ігор Геннадійович Зінченко, Ольга В'ячеславівна Лавданська
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors who publish in this journal agree to the following terms:The authors reserve the right to authorship of their work and give the journal the right to first publish this work under the terms of the Creative Commons Attribution License CC BY-NC, which allows other persons to freely distribute published work with a mandatory reference to authors of the original work and the first publication of the work in this journal.
Authors have the right to conclude separate additional agreements for the non-exclusive distribution of the paper in the form in which it was published by this journal (for example, posting work in electronic repository or publishing as part of a monograph), provided that the link to the first publication in this journal is maintained.
The journal policy allows and encourages authors to post on the Internet (for example, in repositories of institutions or on personal websites) the manuscript of work, both before the submission of this manuscript to the editorial staff, and during its editorial work, as it contributes to the emergence of productive scientific discussion and positively affects the efficiency and dynamics of published work citation (see The Effect of Open Access).
