IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021i4p850-871.html
   My bibliography  Save this article

Cybersecurity of Business Intelligence Analytics Based on the Processing of Large Sets of Information with the Use of Sentiment Analysis and Big Data

Author

Listed:
  • Anna Golebiowska
  • Weronika Jakubczak
  • Dariusz Prokopowicz
  • Ryszard Jakubczak

Abstract

Purpose: The research aims to characterize newest soultions, especially with the respect to cybersecurity aspects of Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data. Design/Methodology/Approach: The working hypothesis refers to assumption that current regulations and security solutions for Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data is under extreme preassure to meet evergrowing challenges. There are more and more dends form the legal regulators as well as from the market and that creates a lot of problems with data protection. The article uses legal and comparative analysis as well as structural and functional analysis. Additionally, the interpretation method is also present. Findings: Article indicates that the aforementioned issues with the respect to growing importance of internet including the Internet of Things and Internet of Everything are becoming of more and more importance and cannot go with appropriate level of cybersecurity since the data they collect is of the great importance. The trends immanent to Industry 4.0 require from business more effort and customer orientation. Growing population and access to Internet demands larger scales of business operations. Practical Implications: As a result of conducting the research, it is possible to identify threats and present some recommendations for cybersecurity of Business Intelligence. Originality/Value: This is a complete research for Cybersecurity of Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data.

Suggested Citation

  • Anna Golebiowska & Weronika Jakubczak & Dariusz Prokopowicz & Ryszard Jakubczak, 2021. "Cybersecurity of Business Intelligence Analytics Based on the Processing of Large Sets of Information with the Use of Sentiment Analysis and Big Data," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 850-871.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:4:p:850-871
    as

    Download full text from publisher

    File URL: https://www.ersj.eu/journal/2631/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    2. Celina M. Olszak, 2014. "Business Intelligence In Cloud," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 10(2), pages 115-125, December.
    3. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    4. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adrianna Karas, 2023. "Maritime Industry Cybersecurity: A Review of Contemporary Threats," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 921-930.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Weronika Jakubczak & Anna Golebiowska & Dariusz Prokopowicz, 2021. "The Legal and Security Aspects of ICT and Industry 4.0 Importance for Financial Industry 4.0 Development," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 169-181.
    2. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    3. Rewat Khanthaporn, 2022. "Analysis of Nonlinear Comovement of Benchmark Thai Government Bond Yields," PIER Discussion Papers 183, Puey Ungphakorn Institute for Economic Research.
    4. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    5. Aleksandra Kuzior & Anna Liakisheva & Iryna Denysiuk & Halyna Oliinyk & Liudmyla Honchar, 2020. "Social Risks of International Labour Migration in the Context of Global Challenges," JRFM, MDPI, vol. 13(9), pages 1-31, September.
    6. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    7. Faisal Abbas & Shoaib Ali & Imran Yousaf & Wing-Keung Wong, 2021. "Dynamics of Funding Liquidity and Risk-Taking: Evidence from Commercial Banks," JRFM, MDPI, vol. 14(6), pages 1-16, June.
    8. Vivian Welch & Christine M. Mathew & Panteha Babelmorad & Yanfei Li & Elizabeth T. Ghogomu & Johan Borg & Monserrat Conde & Elizabeth Kristjansson & Anne Lyddiatt & Sue Marcus & Jason W. Nickerson & K, 2021. "Health, social care and technological interventions to improve functional ability of older adults living at home: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    9. Erkmen Giray Aslim, 2019. "The Relationship Between Health Insurance and Early Retirement: Evidence from the Affordable Care Act," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(1), pages 112-140, January.
    10. Nihan Akyelken, 2017. "Mobility-Related Economic Exclusion: Accessibility and Commuting Patterns in Industrial Zones in Turkey," Social Inclusion, Cogitatio Press, vol. 5(4), pages 175-182.
    11. Dreher, Axel & Fuchs, Andreas & Langlotz, Sarah, 2019. "The effects of foreign aid on refugee flows," European Economic Review, Elsevier, vol. 112(C), pages 127-147.
    12. Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Achim Truger & Andrew Wa, 2016. "The Elusive Recovery," SciencePo Working papers Main hal-03459084, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Achim Truger & Andrew Wa, 2016. "The Elusive Recovery," PSE-Ecole d'économie de Paris (Postprint) hal-03459084, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," PSE Working Papers hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Achim Truger & Andrew Wa, 2016. "The Elusive Recovery," Post-Print hal-03459084, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," Working Papers hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," SciencePo Working papers Main hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," PSE-Ecole d'économie de Paris (Postprint) hal-03612850, HAL.
    13. Billari, Francesco C. & Giuntella, Osea & Stella, Luca, 2018. "Broadband internet, digital temptations, and sleep," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 58-76.
    14. Ekaterina Aleksandrova & Kristian Behrens & Maria Kuznetsova, 2020. "Manufacturing (co)agglomeration in a transition country: Evidence from Russia," Journal of Regional Science, Wiley Blackwell, vol. 60(1), pages 88-128, January.
    15. Werner Eichhorst & Ulf Rinne, 2017. "Digital Challenges for the Welfare State," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 18(04), pages 03-08, December.
    16. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    17. Bruno Biais & Fany Declerck & Sophie Moinas, 2016. "Who supplies liquidity, how and when?," BIS Working Papers 563, Bank for International Settlements.
    18. Chen, Cheng & Senga, Tatsuro & Sun, Chang & Zhang, Hongyong, 2023. "Uncertainty, imperfect information, and expectation formation over the firm’s life cycle," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 60-77.
    19. Julie Vinck & Idunn Brekke, 2019. "Gender and education inequalities in parental employment when having a young child with increased care needs: Belgium and Norway compared," Working Papers 1904, Herman Deleeck Centre for Social Policy, University of Antwerp.
    20. Alvarez, Camila H. & Evans, Clare Rosenfeld, 2021. "Intersectional environmental justice and population health inequalities: A novel approach," Social Science & Medicine, Elsevier, vol. 269(C).

    More about this item

    Keywords

    Cybersecurity; critical infrastructure; business intelligence; Big Data.;
    All these keywords.

    JEL classification:

    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
    • F52 - International Economics - - International Relations, National Security, and International Political Economy - - - National Security; Economic Nationalism
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:journl:v:xxiv:y:2021:i:4:p:850-871. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.