THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN ORGANIZATIONS TAKING INTO ACCOUNT THEIR REGIONAL DEPLOYMENT

УДК 004.9 + 004,738.5

  • I. S. Pinkovetskaia Ulyanovsk State University (Ulyanovsk, Russia) Email: judy54@yandex.ru
DOI_disc_logo https://doi.org/10.14258/epb202243
Keywords: organizations, big data analysis, data mining, cloud computing, Internet of Things, digital technologies

Abstract

In the twenty-first century, there was an explosive development of information and communication technologies that affected all spheres of people's lives and especially organizations. The purpose of our study was to evaluate the indicators characterizing the use of four types of information and communication technologies, namely big data analysis, data mining, cloud computing and the Internet of Things by organizations located in Russian regions. The official information of the Federal State Statistics Service of Russia for 2020 was used as empirical data. Empirical data modeling was based on the density functions of the normal distribution. The main attention in the study paid to the regional peculiarities of the use of the technologies in question by organizations. The results of the work showed that these types of technologies have received significant development in Russia. Big data analysis and cloud computing have become the most widespread among the four technologies under consideration. In the process of comparative analysis, lists of regions were compiled in which organizations were located, differing in the maximum and minimum values of indicators.

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Author Biography

I. S. Pinkovetskaia, Ulyanovsk State University (Ulyanovsk, Russia)

кандидат экономических наук, доцент кафедры экономического анализа и государственного управления

References

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Cavanillas J. M., Wahlster E. C. New Horizons for a Data-Driven Economy. A Roadmap for Usage and Exploitation of Big Data in Europe. German Research Centre for Artificial Intelligence (DFKI). Saarbrucken, Germany. 2016.

Krizanic S. Educational data mining using cluster analysis and decision tree technique: A case study // International Journal of Engineering Business Management. 2020. № 12. Pp. 1-9. DOI: 10.1177/1847979020908675.

Qiao X., Jiao H. Data Mining Techniques in Analyzing Process Data: A Didactic // Frontiers in Psychology. 2018. № 9 (2231). Pp. 1-11. DOI: 10.3389/fpsyg.2018.02231.

Ge Zhang, Lu Liu, Hao Guo. Investigating the Impact of Cloud Computing Vendor on the Adoption of Cloud Computing // Mobile Information Systems. Article ID 6557937. 2021. Pp. 1-18. DOI: 10.1155/2021/6557937.

Chen T., Chuang T., Nakatani K. The Perceived Business Benefit of Cloud Computing: An Exploratory Study // Journal of International Technology and Information Management. 2016. № 25 (4). Pp. 101-122.

Mehta R., Sahib J., Khanna K. Internet of Things: Vision, Applications and Challenges // Procedia Computer Science. 2018. № 132. Pp. 1263-1269. DOI: 10.1016/j. procs. 2018.05.042.

Chin J., Callaghan V., Allouch S. B. The Internet-of-Things: Reflections on the past, present and future from a user-centered and smart environment perspective // Journal of Ambient Intelligence and Smart Environments. 2019. № 11. Pp. 45-69. DOI: 10.3233/AIS-180506.

Федеральная служба государственной статистики. Наука, инновации и технологии. URL: https://rosstat.gov.ru/folder/154849 (дата обращения: 19.03.2022).

Pinkovetskaia I., Nuretdinova Y., Nuretdinov I., Lipatova N. Mathematical modeling on the base of functions density of normal distribution // Revista De La Universidad Del Zulia. 2021. № 12 (33). Pp. 34-49. DOI: 10.46925//rdluz. 33.04.

Eurostat. URL: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes (дата обращения: 19.03.2022).

REFERENCES

Darwish D. Developing and Implementing Big Data Analytics in Marketing // International Journal of Data Science and Analysis. 2017. No. 6 (6). Pp. 183-203. DOI: 10.11648/j.ijdsa.20200606.13.

Cavanillas J. M., Wahlster E. C. New Horizons for a Data-Driven Economy. A Roadmap for Usage and Exploitation of Big Data in Europe. German Research Centre for Artificial Intelligence (DFKI). Saarbrucken, Germany. 2016.

Krizanic S. Educational data mining using cluster analysis and decision tree technique: A case study // International Journal of Engineering Business Management. 2020. No. 12. Pp. 1-9. DOI: http://doi.org/10.1177/1847979020908675.

Qiao X., Jiao H. Data Mining Techniques in Analyzing Process Data: A Didactic // Frontiers in Psychology. 2018. No. 9 (2231). Pp. 1-11. DOI: 10.3389/fpsyg.2018.02231.

Ge Zhang, Lu Liu, Hao Guo. Investigating the Impact of Cloud Computing Vendor on the Adoption of Cloud Computing // Mobile Information Systems. Article ID 6557937. 2021. Pp. 1-18. DOI: 10.1155/2021/6557937.

Chen T., Chuang T., Nakatani K. The Perceived Business Benefit of Cloud Computing: An Exploratory Study // Journal of International Technology and Information Management. 2016. No. 25 (4). Рp. 101-122.

Mehta R., Sahib J., Khanna K. Internet of Things: Vision, Applications and Challenges // Procedia Computer Science. 2018. No. 132. Рp. 1263-1269. DOI: 10.1016/j.procs.2018.05.042.

Chin J., Callaghan V., Allouch S. B. The Internet-of-Things: Reflections on the past, present and future from a user-centered and smart environment perspective // Journal of Ambient Intelligence and Smart Environments. 2019. No. 11. Рp. 45-69. DOI: 10.3233/AIS-180506.

Federal State Statistics Service. Science, innovation and technologies. URL: https://rosstat.gov.ru/folder/154849 (date of access: 19.03.2022).

Pinkovetskaia I., Nuretdinova Y., Nuretdinov I., Lipatova N. Mathematical modeling on the base of functions density of normal distribution // Revista De La Universidad Del Zulia. 2021. No. 12 (33). Рp. 34-49. DOI: 10.46925//rdluz. 33.04.

Eurostat. URL: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes (date of access: 19.03.2022).

Published
2022-09-12
How to Cite
1. Pinkovetskaia I. S. THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN ORGANIZATIONS TAKING INTO ACCOUNT THEIR REGIONAL DEPLOYMENT // Economics Profession Business, 2022. № 3. P. 100-106. URL: http://journal.asu.ru/ec/article/view/epb202243.
Issue
No 3 (2022): Economics Profession Business
Section
ЭКОНОМИЧЕСКИЕ НАУКИ

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