IDEAS home Printed from https://ideas.repec.org/a/isp/journl/v16y2022i1p252-261.html

Artificial Intelligence And Cybersecurity Implications For Business Management

Author

Listed:
  • Philippe Funk

Abstract

The cybersecurity market is a fast-growing market due to cybersecurity's ever-changing nature of attacking and defending. Organizations need to find new ways to counter cybersecurity threats. Artificial Intelligence (A.I.) has the potential to create disruptive change, both for good and evil. To better manage cybersecurity within organizations, companies must look at how technology can be used with the people who use it daily. By implementing artificial intelligence, cybersecurity teams can make faster decisions, allowing them to move faster than attackers. Business management using artificial intelligence can help organizations make more informed business decisions about their products and services. Cybersecurity and artificial intelligence must work together to increase cybersecurity awareness within organizations. This paper discusses cybersecurity and artificial intelligence implications on business management using cybersecurity journals, websites, company information, and military information sites. It also uses artificial intelligence journals and the author's experience in cybersecurity training. It highlights that when it comes to artificial intelligence (A.I.) and cybersecurity, businesses need to be aware of the potential implications for their management and operations. With the ever-increasing sophistication of A.I. technology, cybercriminals find new ways to exploit vulnerabilities in systems and networks. As such, businesses need to understand the risks associated with A.I. and cybersecurity to take steps to mitigate them.

Suggested Citation

  • Philippe Funk, 2022. "Artificial Intelligence And Cybersecurity Implications For Business Management," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 16(1), pages 252-261.
    • Handle: RePEc:isp:journl:v:16:y:2022:i:1:p:252-261
    as

    Download full text from publisher

    File URL: https://www.scientific-publications.net/get/1000055/1665227486994319.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdellah Chehri & Issouf Fofana & Xiaomin Yang, 2021. "Security Risk Modeling in Smart Grid Critical Infrastructures in the Era of Big Data and Artificial Intelligence," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    2. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    3. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    4. Du, Shuili & Xie, Chunyan, 2021. "Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities," Journal of Business Research, Elsevier, vol. 129(C), pages 961-974.
    5. Gergő Barta & Gergely Görcsi, 2021. "Risk management considerations for artificial intelligence business applications," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 21(1), pages 87-106.
    6. Lee, In, 2021. "Cybersecurity: Risk management framework and investment cost analysis," Business Horizons, Elsevier, vol. 64(5), pages 659-671.
    Full references (including those not matched with items on IDEAS)

    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. Robertson, Jeandri & Botha, Elsamari & Oosthuizen, Kim & Montecchi, Matteo, 2025. "Managing change when integrating artificial intelligence (AI) into the retail value chain: The AI implementation compass," Journal of Business Research, Elsevier, vol. 189(C).
    2. Daniele Giordino & Elisa Ballesio & Nourah Alshaghdali & Dhruv Galgotia, 2026. "The relationship between organizational focus on AI, financial growth and sustainable development: Evidence from Europe," Post-Print hal-05433094, HAL.
    3. Oksana Kiseleva & Anna Firsova & Alla Vavilina, 2025. "Integration of Artificial Intelligence Technologies into Design-Thinking Processes in the Development of Managerial Decisions as a Factor of Enterprise Sustainable Development," Sustainability, MDPI, vol. 17(10), pages 1-32, May.
    4. Ritala, Paavo & Aaltonen, Päivi & Ruokonen, Mika & Nemeh, Andre, 2024. "Developing industrial AI capabilities: An organisational learning perspective," Technovation, Elsevier, vol. 138(C).
    5. Mehrdad Aslani & Hamed Hashemi-Dezaki & Abbas Ketabi, 2021. "Reliability Evaluation of Smart Microgrids Considering Cyber Failures and Disturbances under Various Cyber Network Topologies and Distributed Generation’s Scenarios," Sustainability, MDPI, vol. 13(10), pages 1-30, May.
    6. Qi Ke & Yunhong Gong & Changping Ke, 2025. "Bridging AI literacy and UTAUT constructs: structural equation modeling of AI adoption among Chinese university students," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    7. Kaur, Harpreet & Gupta, Mahima & Singh, Surya Prakash, 2024. "Integrated model to optimize supplier selection and investments for cyber resilience in digital supply chains," International Journal of Production Economics, Elsevier, vol. 275(C).
    8. Mutmainnah & Novia Rahmadina & Rodah & Aprilia Ekarianti & Praja Hadi Saputra, 2026. "Enhancing Tax Consultants' Performance and Productivity through Digital Literacy and Artificial Intelligence: A Systematic Literature Review," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(1), pages 91-105, January.
    9. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    10. Cloarec, Julien, 2022. "Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization," Journal of Business Research, Elsevier, vol. 152(C), pages 144-153.
    11. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Yan, Haiming & Han, Di & Khursheed, Muhammad Aqib, 2025. "Does green finance improve energy security in Chinese Provinces? Evidence from machine learning approaches," Energy, Elsevier, vol. 335(C).
    13. Daly, Sarah J. & Wiewiora, Anna & Hearn, Greg, 2025. "Shifting attitudes and trust in AI: Influences on organizational AI adoption," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    14. Zhang, Kaige & Pang, Hua, 2026. "How does risk information exposure affect AI-driven technology users’ privacy protection? Combining social amplification of risk framework and technology threat avoidance theory," Technology in Society, Elsevier, vol. 84(C).
    15. Agbodoh-Falschau, Kouassi Raymond & Ravaonorohanta, Bako Harinivo, 2023. "Investigating the influence of governance determinants on reporting cybersecurity incidents to police: Evidence from Canadian organizations’ perspectives," Technology in Society, Elsevier, vol. 74(C).
    16. Slapničar, Sergeja & Axelsen, Micheal & Bongiovanni, Ivano & Stockdale, David, 2023. "A pathway model to five lines of accountability in cybersecurity governance," International Journal of Accounting Information Systems, Elsevier, vol. 51(C).
    17. Tero Erkkilä, 2023. "Global indicators and AI policy: Metrics, policy scripts, and narratives," Review of Policy Research, Policy Studies Organization, vol. 40(5), pages 811-839, September.
    18. Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
    19. Yao, Xintong & Xi, Yipeng, 2024. "Pathways linking expectations for AI chatbots to loyalty: A moderated mediation analysis," Technology in Society, Elsevier, vol. 78(C).
    20. Vasiliki Koniakou, 2023. "From the “rush to ethics” to the “race for governance” in Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(1), pages 71-102, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • A - General Economics and Teaching

    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:isp:journl:v:16:y:2022:i:1:p:252-261. 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: Svetoslav Ivanov (email available below). General contact details of provider: https://www.scientific-publications.net/ .

    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.