IDEAS home Printed from https://ideas.repec.org/a/baq/taprar/v4y2024i2p49-53.html
   My bibliography  Save this article

Study of the principle of augmented competency in the audit of IT projects in the environment of artificial intelligence

Author

Listed:
  • Sergiy Bushuyev

    (Kyiv National University of Construction and Architecture)

  • Andrii Ivko

    (Kyiv National University of Construction and Architecture)

Abstract

The development of artificial intelligence (AI) is revolutionizing various industries, including IT project management. The object of research is the principle of augmented competence, which is a new approach that uses AI to strengthen and expand the capabilities of IT project teams. The essence of this principle lies in the complementary interaction of AI and the competence of project teams. Instead of replacing project managers, AI complements their competencies (knowledge, skills and experience). One of the hot spots is the application of AI in the process of automating routine tasks, analyzing large volumes of data and providing recommendations and predictions, freeing up time for team members to focus on more complex and creative tasks.The possibility of automating tasks and providing new knowledge, which will significantly improve the efficiency and productivity of the team, has been obtained through the use of the principle of augmented competence. As a result, data-driven recommendations and predictions enable teams to make more informed and effective decisions. Access to new knowledge and insights stimulates innovation and leads to new ideas and solutions, helps identify and mitigate potential risks, which can lead to more successful projects. Applying this principle to IT project management audits will automate software testing with AI, which replaces testers so they can focus on more complex types of testing such as exploratory testing, performs customer data analysis with AI, and enables companies to better understand your customers and their needs, which can lead to better marketing campaigns and products. It is important to note that this principle does not involve replacing project managers with AI. Instead, AI is used as a tool to empower human teams and help them achieve better results. As AI technologies continue to evolve, the principle of augmented competence is likely to play an even more important role in IT project management. AI can help teams overcome complex challenges, make better decisions, and succeed in a more dynamic and competitive environment.

Suggested Citation

  • Sergiy Bushuyev & Andrii Ivko, 2024. "Study of the principle of augmented competency in the audit of IT projects in the environment of artificial intelligence," Technology audit and production reserves, PC TECHNOLOGY CENTER, vol. 4(2(78)), pages 49-53, August.
  • Handle: RePEc:baq:taprar:v:4:y:2024:i:2:p:49-53
    DOI: 10.15587/2706-5448.2024.310525
    as

    Download full text from publisher

    File URL: https://journals.uran.ua/tarp/article/download/310525/302201
    Download Restriction: no

    File URL: https://libkey.io/10.15587/2706-5448.2024.310525?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Amjad Almusaed & Ibrahim Yitmen & Asaad Almssad, 2023. "Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments," Sustainability, MDPI, vol. 15(18), pages 1-27, September.
    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. Uz Zaman, Qamar & Zhao, Yuhuan & Zaman, Shah & Batool, Kiran & Nasir, Rabiya, 2024. "Reviewing energy efficiency and environmental consciousness in the minerals industry Amidst digital transition: A comprehensive review," Resources Policy, Elsevier, vol. 91(C).
    2. Shun Jia & Yang Yang & Shuyu Li & Shang Wang & Anbang Li & Wei Cai & Yang Liu & Jian Hao & Luoke Hu, 2024. "The Green Flexible Job-Shop Scheduling Problem Considering Cost, Carbon Emissions, and Customer Satisfaction under Time-of-Use Electricity Pricing," Sustainability, MDPI, vol. 16(6), pages 1-22, March.

    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:baq:taprar:v:4:y:2024:i:2:p:49-53. 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: Iryna Prudius (email available below). General contact details of provider: https://journals.uran.ua/tarp/issue/archive .

    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.