DOI: https://doi.org/10.15587/1729-4061.2019.157765

Processes of managing information infrastructure of a digital enterprise in the framework of the «Industry 4.0» concept

Kateryna Andriushchenko, Volodymyr Rudyk, Olena Riabchenko, Maryana Kachynska, Nataliia Marynenko, Lidiya Shergina, Vita Kovtun, Mariia Tepliuk, Alla Zhemba, Oksana Kuchai

Abstract


A study of the management of the information infrastructure of a digital enterprise is conducted within the framework of the “Industry 4.0” concept. It is determined that modern digital technologies cause an exponential growth of data flows, for the effective functioning of which the need arises to transform a classic enterprise into digital. There are new business models, network structures based on collective methods of production and consumption, which transform traditional market relations and require the development of new solutions in the field of digital enterprise management. It is noted that the use of all elements (mobility; sociality; BPM, electronic document management system ERP finance and accounting; Big Data Analytics, business analytics) of modern information and communication technologies will increase the productivity and value of enterprises. It is determined that information and communication technologies allow to effectively interact with each other in certain sectors of production and ensure the optimization of any business processes using consumerization. Modern trends in the development of digital enterprises are identified and the prerequisites for the introduction of digitalization in the business space are marked. The constituent elements of the management process of the information infrastructure of a digital enterprise are structured, on the basis of which a model of the information infrastructure management process is proposed. The objectives of the digital infrastructure are substantiated, which are indicated: to increase the speed of decision-making, to increase the variability of processes depending on the needs and characteristics of the client, to reduce the number of employees involved in the process. The methodological foundations of the process of managing the information infrastructure of a digital enterprise are deepened in the context of the “Industry 4.0” concept

Keywords


management processes; information infrastructure; digital enterprise; digital economy; Industry 4.0

References


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GOST Style Citations


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Andriushchenko K. Formation of conceptual approaches to management of intellectual capital of knowledge considering hierarchical levels at the enterprise // International Journal of Critical Accounting. 2016. Vol. 8, Issue 5/6. P. 379–395. doi: https://doi.org/10.1504/ijca.2016.10002493 

Andriushchenko K. The formation of the system of intellectual capital management at enterprises // Technology audit and production reserves. 2017. Vol. 2, Issue 4 (34). P. 4–9. doi: https://doi.org/10.15587/2312-8372.2017.98178 

Andriushchenko K. State-private partnership as a factor of development of transport communications maritime industry // Středoevropský vĕstnĺk pro vĕdu a výzkum. 2014. Issue 2 (21). Р. 43–48.

Pawlak Z. Rough sets and fuzzy sets // Fuzzy Sets and Systems. 1985. Vol. 17, Issue 1. P. 99–102. doi: https://doi.org/10.1016/s0165-0114(85)80029-4 

Zadeh L. A. Fuzzy Sets // Information and Control. 1965. Vol. 8. P. 338–353.

Raskin L., Sira O. Fuzzy models of rough mathematics // Eastern-European Journal of Enterprise Technologies. 2016. Vol. 6, Issue 4 (84). P. 53–60. doi: https://doi.org/10.15587/1729-4061.2016.86739 

Sira O. V., Al-Shqeerat K. H. A New Approach for Resolving Equations with Fuzzy Parameters // European Journal of Scientific Research. 2009. Vol. 38, Issue 4. P. 619–625.

Raskin L., Sira O. Method of solving fuzzy problems of mathematical programming // Eastern-European Journal of Enterprise Technologies. 2016. Vol. 5, Issue 4 (83). P. 23–28. doi: https://doi.org/10.15587/1729-4061.2016.81292 







Copyright (c) 2019 Kateryna Andriushchenko, Volodymyr Rudyk, Olena Riabchenko, Maryana Kachynska, Nataliia Marynenko, Lidiya Shergina, Vita Kovtun, Mariia Tepliuk, Alla Zhemba, Oksana Kuchai

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ISSN (print) 1729-3774, ISSN (on-line) 1729-4061