Особливості ідентифікації ризиків ринку Big Data

Simple item page
dc.citation.epage95
dc.citation.issue1
dc.citation.journalTitleМенеджмент та підприємництво в Україні: етапи становлення і проблеми розвитку : науковий журнал
dc.citation.spage82
dc.citation.volume3
dc.contributor.affiliationНаціональний університет “Львівська політехніка”
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorШандрівська, О. Є.
dc.contributor.authorКириленко, А. А.
dc.contributor.authorShandrivska, O. Ye.
dc.contributor.authorKyrylenko, A. A.
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-08-21T08:08:35Z
dc.date.available2023-08-21T08:08:35Z
dc.date.created2021-02-25
dc.date.issued2021-02-25
dc.description.abstractДосліджено стан та тенденції розвитку глобального ринку Big data. Проаналізовано динаміку місткості глобального ринку Big Data за 2011–2020 рр. та ідентифіковано основні сегменти цього ринку за джерелами доходу, проаналізовано динаміку доходів п’ятірки лідерів країн глобального ринку Big data. Окрему увагу зосереджено на аналізуванні цільового сегмента персональних даних осіб. Для аналізування глобального ринку Big Data застосовано концепцію п’яти сил конкуренції за М. Портером та виконано SWOT-аналіз глобального ринку Big Data із виокремленням стратегічних напрямів розвитку для комбінацій сильних і слабких сторін функціонування ринку Big Data, а також загроз та можливостей впливу на нього чинників зовнішнього середовища. Ідентифіковано основні ризики та організаційні процедури щодо запобігання їм у діяльності підприємств на глобальному ринку Big Data, здійснено оцінювання ризику витоку даних внаслідок кібератак.
dc.description.abstractThe paper hypothesizes that the dynamic digitalization of the economy, based on the benefits of using Big data, accelerates the use in management and production processes of technologies offered by this market. However, it is noted that the acquisitions of the Big data market also exacerbate the socio-economic contradictions between countries with developed market economies and institutionally underdeveloped countries, which include Ukraine. The authors of the study proposed to identify the Big data market with such key indicators as total revenue, number of Internet users, losses of Big Data market participants from data leakage. Thus, the high rates of development of the Big data market in terms of growth of total market income in 8,03 times during 2011–2020 were witnessed. The main segments of the Big Data market (service segment, software segment and service segment) were identified. It is established that the largest share of the Big Data market is occupied by the services segment (37,5 % in 2020). From 2021, the growth rate of the software segment is expected to exceed other segments of this market – hardware and services. The results of the analysis of the Big Data market by M. Porter's five forces model show that the most important of the competitive forces in the market is a high level of competition, in which market participants are encouraged to focus on potential needs and expectations of their customers to strengthen bases of differentiation and clear positioning of the services. According to the results of the SWOT-analysis of the Big Data market, the following strengths were identified: business expansion due to the increase in the amount of information it owns; increasing the number of customer reviews through social networks; establishing strategic partnerships with suppliers, dealers and other stakeholders through the use of Big Data; permanent training of employees to maintain the competitiveness of organizations; established IT system of the enterprise, which promotes faster adoption of effective management decisions; high incomes due to effective management decisions, possession of market research results through Big Data technologies. The identified market opportunities are: population growth, which means an increase in the number of potential consumers and the amount of data collected; growth in the number of enterprises that implement e-commerce in their activities; growth of active consumers due to the integration of Big Data into social networks; increasing the share of automated processes, which helps reduce costs; growing popularity of IT specialization in universities; globalization of the economy, which allows companies to expand their activities to other countries. On the basis of identified strengths of the market and its capabilities, the following strategic directions of development are proposed: entry of enterprises into new markets due to market globalization and effective implementation of Big Data technologies; use of social networks to collect consumer data and involve them in Big Data processes; improvement of the e-commerce system of enterprises due to the capabilities of well-established IT systems of the enterprise with the capabilities of Big Data; reduction of product prices due to cost optimization and effective interaction with contractors. The results of the research allowed to identify the following main risks of the industry: destruction of data confidentiality; collection of false data, infringement of intellectual property of a third party, etc. The formed risk matrix indicates that the most significant risks of this market are the reduction of information security of the entity due to hacker attacks (probability of 50 %, significant damage) and the destruction of data confidentiality (probability of 25 %, significant damage). Qualitative interpretation of risks in the Big Data market allowed to characterize the impact of adverse factors of internal and external environments, namely: insufficient unreliability of cloud storage for data storage; high level of distrust of data carriers to companies using Big Data; high staff turnover in the market, etc. Assessing the risk of data loss due to hacker attacks allowed to identify it as a risk of a high level of importance (6 p.). Based on the obtained result, it is concluded that the activities of Big Data market participants are vulnerable to possible hacker intrusions and require more effective measures to ensure reliable data protection of enterprises and their customers.
dc.format.extent82-95
dc.format.pages14
dc.identifier.citationШандрівська О. Є. Особливості ідентифікації ризиків ринку Big Data / О. Є. Шандрівська, А. А. Кириленко // Менеджмент та підприємництво в Україні: етапи становлення і проблеми розвитку : науковий журнал. — Львів : Видавництво Львівської політехніки, 2021. — Том 3. — № 1. — С. 82–95.
dc.identifier.citationenShandrivska O. Ye. Features of Big Data market risk identification / O. Ye. Shandrivska, A. A. Kyrylenko // Management and Entrepreneurship in Ukraine: the stages of formation and problems of development. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 3. — No 1. — P. 82–95.
dc.identifier.doidoi.org/10.23939/smeu2021.01.082
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/59794
dc.language.isouk
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofМенеджмент та підприємництво в Україні: етапи становлення і проблеми розвитку : науковий журнал, 1 (3), 2021
dc.relation.ispartofManagement and Entrepreneurship in Ukraine: the stages of formation and problems of development, 1 (3), 2021
dc.relation.references1. Ahmadi M., Dileepan P. (2016). A SWOT-analysis of big data. The Journal of Education for Business. Vol. 18, No. 5. DOI: https://doi.org/10.1080/08832323.2016.1181045 (дата звернення 16.02.2021).
dc.relation.references2. Amando A., Cortez P., Rita P., Moro S. (2018). Research trends on Big Data in Marketing: A text mining and topicmodeling based literature analysis. European Research on Management and Business Economics, Vol. 24, 1–7. DOI: https://doi.org/10.1016/j.iedeen.2017.06.002 (дата звернення 4.03.2021).
dc.relation.references3. Chahal M. (2015). Consumers are ‘dirtying’ databases with false details. Marketing Week. URL: https://bit.ly/2KnhVOX (дата звернення 16.02.2021). Назва з екрана.
dc.relation.references4. Dai Y. S., Bo Y., Dongarra J., Gewei Z. (2009). Cloud Service Reliability: Modeling and Analysis. The 15th IEEE Pacific Rim International Symposium on Dependable Computing. URL: https://bit.ly/3deG2hM.
dc.relation.references5. Dobbs M. (2014). Guidelines for applying Porter’s five forces framework: a set of industry analysis templates. Competitiveness Review, Vol. 24, No. 1, 32–45. DOI: https://doi.org/10.1108/CR-06-2013-0059 (дата звернення 21.03.2021).
dc.relation.references6. Gandomi A., Haider M. (2015). Beyond the hype: Big Data concepts, methods and analytics. International Journal of Information Management, Vol. 35, 137–144. DOI: https://doi.org/10.1016/j.ijinfomgt.2014.10.007 (дата звернення 13.02.2021).
dc.relation.references7. Grant A. Cyber Crime: Statistics and Facts. URL: https://bit.ly/3eLQIDh (дата звернення 23.02.2021). Назва з екрана.
dc.relation.references8. Gupta S. (2020). Big Data Market worth $229.4 billion by 2025. URL: https://bit.ly/2wY1gy9 (дата звернення 21.02.2021). Назва з екрана.
dc.relation.references9. IBM Security (2019). Cost of a data breach report. URL: https://www.ibm.com/downloads/cas/ZBZLY7KL (дата звернення 17.02.2021).
dc.relation.references10.International Telecommunication Union. Statistics report (2019). URL: https://bit.ly/2VuaP1s (дата звернення 24.02.2021). Назва з екрана.
dc.relation.references11. Kincaid E. (2015). The science behind the recent surge in twins and triplets. Insider, September 23. URL: https://bit.ly/3as76FJ (дата звернення 18.03.2021). Назва з екрана.
dc.relation.references12. Kobielus J. Wikibon’s (2018). 2018 Big Data Analytics Trends and Forecast. Wikibon, February 28. URL: https://bit.ly/2VMzhKd (дата звернення 4.03.2021). Назва з екрана.
dc.relation.references13.Langkemper S. (2019). Probability of cyber attacks. URL: https://bit.ly/351xuFh (дата звернення 11.03.2021). Назва з екрана.
dc.relation.references14.Lynch C. (2008). Big data: How do your data grow? Nature, Vol. 455, 28–29. DOI: https://doi.org/10.1038/455028a (дата звернення 19.02.2021).
dc.relation.references15. Marriott International Notifies Guests of Property System Incident. March 31, 2020. URL: https://bit.ly/34RZP0T (дата звернення 21.03.2021). Назва з екрана.
dc.relation.references16. Myers C. (2018). Big Data, Privacy, And The Law: How Legal Regulations May Affect Pr Research. URL: https://bit.ly/3axS7dk (дата звернення 15.03.2021). Назва з екрана.
dc.relation.references17. Paganini P. (2015). Cyber attacks against Organizations increased once again. URL: https://bit.ly/2Kuzjkw (дата звернення 20.03.2021). Назва з екрана.
dc.relation.references18. Pettypiece S., Robertson J. Hospitals Are Mining Patients' Credit Card Data to Predict Who Will Get Sick. Bloomberg, 3 July 2014. URL: https://bloom.bg/351P8cc (дата звернення 11.03.2021).
dc.relation.references19. Pinarbasi F., Canbolat Z. N. Big Data in marketing literature: a Bibliometric Analysis. International Journal of Business Ecosystem. 2019. Vol. 1, No. 2. P. 15-24. DOI: https://doi.org/10.36096/ijbes.v1i2.107 (дата звернення 18.02.2021).
dc.relation.references20. Prajsnar P., Sawa M. Report of Global Data Market 2017–2019. OnAudience, 2020. URL: https://bit.ly/2KoxKEW (дата звернення 6.03.2021).
dc.relation.references21. Qureshi A. (2018). Big Data: A Potential Opportunity And A Risk For Companies. URL: https://bit.ly/2VLx1Tr (дата звернення 25.02.2021).
dc.relation.references22. Shinichi K., Jun-Koo K., Jungmin K. at al. (2018). What is the Impact of Successful Cyberattacks on Target Firms? NBER Working Paper. No. 24409. URL: https://www.nber.org/papers/w24409.pdf (дата звернення 26.02.2021).
dc.relation.references23. Sobers R. (2020). The Likelihood of a Cyber Attack Compared. URL: https://bit.ly/2yz7KE7 (дата звернення 18.03.2021). Назва з екрана.
dc.relation.references24.Target card heist hits 40 million. BBC News, December 13, 2013. URL: https://bbc.in/2Kks1Qq (дата звернення 25.02.2021). Назва з екрана.
dc.relation.references25.Technavio Research. Global Data Center Market Outlook 2019–2023. 2019. URL: https://bwnews.pr/2VOmmrk (дата звернення 22.02.2021). Назва з екрана.
dc.relation.references26.Wamba S., Gunasekaran A., Akter S. at al. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, Vol. 70, 356–365. DOI: https://doi.org/10.1016/j.jbusres.2016.08.009 (дата звернення 16.02.2021).
dc.relation.references27.World Economic Forum 2018. The Global Risks Report. URL: http://reports.weforum.org/global-risks2018/ (дата звернення 22.03.2021).
dc.relation.references28. Аналітична цифрова платформа Statista. URL: https://www.statista.com/ (дата звернення: 10.02.2021).
dc.relation.references29. Беркана А. (2017). Що таке Big Data: все найважливіше про великі дані. URL: https://bit.ly/2Q0ZwOd (дата звернення: 10.02.2021). Назва з екрана.
dc.relation.referencesen1. Ahmadi M., Dileepan P. (2016). A SWOT-analysis of big data. The Journal of Education for Business. Vol. 18, No. 5. Retrieved from: https://doi.org/10.1080/08832323.2016.1181045 (accessed 16 February 2021).
dc.relation.referencesen2. Amando A., Cortez P., Rita P., Moro S. (2018).Research trends on Big Data in Marketing: text mining and topicmodeling based literature analysis. European Research on Management and Business Economics, Vol. 24. Retrieved from: https://doi.org/10.1016/j.iedeen.2017.06.002 (accessed 4 March 2021).
dc.relation.referencesen3. Chahal M. (2015). Consumers are dirtying databases with false details. Retrieved from: https://bit.ly/ 2KnhVOX (accessed 16 February 2021).
dc.relation.referencesen4. Dai Y. S., Bo Y., Dongarra J., Gewei Z. (2009). Cloud Service Reliability: Modeling and Analysis”, paper presented at the 15th IEEE Pacific Rim International Symposium on Dependable Computing. Retrieved from: https://bit.ly/3deG2hM (accessed 13 March 2021).
dc.relation.referencesen5. Dobbs M. (2014). Guidelines for applying Porter’s five forces framework: a set of industry analysis templates. Competitiveness Review, Vol. 24, No. 1. Retrieved from: https://doi.org/10.1108/CR-06-2013-0059 (accessed 21 March 2021).
dc.relation.referencesen6. Gandomi A., Haider M. (2015). Beyond the hype: Big Data concepts, methods and analytics. International Journal of Information Management, Vol. 35. Retrieved from: https://doi.org/10.1016/j.ijinfomgt. 2014.10.007 (accessed 13 February 2021).
dc.relation.referencesen7. Grant A. (2017). Cyber Crime: Statistics and Facts. Retrieved from: https://bit.ly/3eLQIDh (accessed 23 February 2021).
dc.relation.referencesen8. Gupta S. (2020). Big Data Market worth $229.4 billion by 2025. Retrieved from: https://bit.ly/ 2wY1gy9 (accessed 21 February 2021).
dc.relation.referencesen9. IBM Security (2019). Cost of a data breach report. Retrieved from: https://www.ibm.com/downloads/cas/ZBZLY7KL (accessed 17 February 2021).
dc.relation.referencesen10. International Telecommunication Union (2019). Statistics report. Retrieved from: https://bit.ly/2VuaP1s (accessed 24 February 2021).
dc.relation.referencesen11. Kincaid E. (2015). The science behind the recent surge in twins and triplets. Retrieved from: https://bit.ly/3as76FJ (accessed 18 March 2021).
dc.relation.referencesen12. tKobielus J. (2018). Wikibon’s 2018 Big Data Analytics Trends and Forecast. Retrieved from: https://bit.ly/2VMzhKd (accessed 4 March 2021).
dc.relation.referencesen13. Langkemper S. (2019). Probability of cyber attacks. Retrieved from: https://bit.ly/351xuFh (accessed 11 March 2021).
dc.relation.referencesen14. Lynch C. (2008). Big data: How do your data grow? Nature, Vol. 455. Retrieved from: https://doi.org/10.1038/455028a (accessed 19 February 2021).
dc.relation.referencesen15. Marriot International (2020). Marriott International Notifies Guests of Property System Incident. Retrieved from: https://bit.ly/34RZP0T (accessed 21 March 2021).
dc.relation.referencesen16. Myers C. (2018). Big Data, Privacy, And The Law: How Legal Regulations May Affect Pr Research., Retrieved from: https://bit.ly/3axS7dk (accessed 15 March 2021).
dc.relation.referencesen17. Paganini P. (2015). Cyber attacks against Organizations increased once again”. Retrieved from: https://bit.ly/2Kuzjkw (accessed 20 March 2021).
dc.relation.referencesen18. Pettypiece S., Robertson J. (2014). Hospitals Are Mining Patients' Credit Card Data to Predict Who Will Get Sick. Retrieved from: https://bloom.bg/351P8cc (accessed 11 March 2021).
dc.relation.referencesen19. Pinarbasi F., Canbolat Z. N. (2019). Big Data in marketing literature: a Bibliometric Analysis. International Journal of Business Ecosystem, Vol. 1, No. 2. Retrieved from: https://doi.org/10.36096/ijbes.v1i2.107 (accessed 18 February 2021)..
dc.relation.referencesen20. Prajsnar P., Sawa M. (2020). Report of Global Data Market 2017–2019. Retrieved from: https://bit.ly/2KoxKEW (accessed 6 March 2021).
dc.relation.referencesen21. Qureshi A. (2018). Big Data: A Potential Opportunity And A Risk For Companies. Retrieved from: https://bit.ly/2VLx1Tr (accessed 25 February 2021).
dc.relation.referencesen22. Shinichi K., Jun-Koo K., Jungmin K. at al. (2018). What is the Impact of Successful Cyberattacks on Target Firms? NBER Working Paper, No. 24409. Retrieved from; https://www.nber.org/papers/w24409.pdf (accessed 26 February 2021).
dc.relation.referencesen23. Sobers R. (2020). The Likelihood of a Cyber Attack Compared. Retrieved from: https://bit.ly/2yz7KE7 (accessed 18 March 2021).
dc.relation.referencesen24. BBC News (2013). Target card heist hits 40 million. Retrieved from: https://bbc.in/2Kks1Qq (accessed 25 February 2021).
dc.relation.referencesen25. Technavio Research (2019). Global Data Center Market Outlook 2019–2023. Retrieved from: https://bwnews.pr/2VOmmrk (accessed 22 February 2021).
dc.relation.referencesen26. Wamba S., Gunasekaran A., Akter S. at al. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, Vol. 70. Retrieved from: https://doi.org/10.1016/j.jbusres.2016.08.009 (accessed 16 February 2021).
dc.relation.referencesen27. World Economic Forum (2018). The Global Risks Report, Retrieved from: http://reports.weforum.org/global-risks-2018/ (accessed 22 March 2021).
dc.relation.referencesen28. Analitychna tsyfrova platforma Statista. Retrieved from: https://www.statista.com/ (accessed 10 February 2021).
dc.relation.referencesen29. Berkana A. (2017). Shcho take Big Data: vse naivazhlyvishe pro velyki dani. Retrieved from: https://bit.ly/2Q0ZwOd (accessed 10 February 2021).
dc.relation.urihttps://doi.org/10.1080/08832323.2016.1181045
dc.relation.urihttps://doi.org/10.1016/j.iedeen.2017.06.002
dc.relation.urihttps://bit.ly/2KnhVOX
dc.relation.urihttps://bit.ly/3deG2hM
dc.relation.urihttps://doi.org/10.1108/CR-06-2013-0059
dc.relation.urihttps://doi.org/10.1016/j.ijinfomgt.2014.10.007
dc.relation.urihttps://bit.ly/3eLQIDh
dc.relation.urihttps://bit.ly/2wY1gy9
dc.relation.urihttps://www.ibm.com/downloads/cas/ZBZLY7KL
dc.relation.urihttps://bit.ly/2VuaP1s
dc.relation.urihttps://bit.ly/3as76FJ
dc.relation.urihttps://bit.ly/2VMzhKd
dc.relation.urihttps://bit.ly/351xuFh
dc.relation.urihttps://doi.org/10.1038/455028a
dc.relation.urihttps://bit.ly/34RZP0T
dc.relation.urihttps://bit.ly/3axS7dk
dc.relation.urihttps://bit.ly/2Kuzjkw
dc.relation.urihttps://bloom.bg/351P8cc
dc.relation.urihttps://doi.org/10.36096/ijbes.v1i2.107
dc.relation.urihttps://bit.ly/2KoxKEW
dc.relation.urihttps://bit.ly/2VLx1Tr
dc.relation.urihttps://www.nber.org/papers/w24409.pdf
dc.relation.urihttps://bit.ly/2yz7KE7
dc.relation.urihttps://bbc.in/2Kks1Qq
dc.relation.urihttps://bwnews.pr/2VOmmrk
dc.relation.urihttps://doi.org/10.1016/j.jbusres.2016.08.009
dc.relation.urihttp://reports.weforum.org/global-risks2018/
dc.relation.urihttps://www.statista.com/
dc.relation.urihttps://bit.ly/2Q0ZwOd
dc.relation.urihttps://bit.ly/
dc.relation.urihttps://doi.org/10.1016/j.ijinfomgt
dc.relation.urihttp://reports.weforum.org/global-risks-2018/
dc.rights.holder© Національний університет “Львівська політехніка”, 2021
dc.rights.holder© Шандрівська О. Є., Кириленко А. А., 2021
dc.subjectглобальні дані
dc.subjectринок Big data
dc.subjectінтернет речей
dc.subjectцифровізація економіки
dc.subjectконцепція п’яти сил конкуренції Портера
dc.subjectSWOT-аналіз
dc.subjectризики
dc.subjectglobal information
dc.subjectBig data market
dc.subjectInternet networks
dc.subjectdigitalization of the economy
dc.subjectthe concept of development of Porter’s competitive forces
dc.subjectSWOT-analysis
dc.subjectrisks
dc.subject.udc004.67
dc.subject.udc339.138
dc.titleОсобливості ідентифікації ризиків ринку Big Data
dc.title.alternativeFeatures of Big Data market risk identification
dc.typeArticle

Files

Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
2021v3n1_Shandrivska_O_Ye-Features_of_Big_Data_82-95.pdf
Size:
8.42 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
2021v3n1_Shandrivska_O_Ye-Features_of_Big_Data_82-95__COVER.png
Size:
464.77 KB
Format:
Portable Network Graphics
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.82 KB
Format:
Plain Text
Description:
Download

Collections

Менеджмент та підприємництво в Україні: етапи становлення і проблеми розвитку. – 2021. – Volume 3, number 1