IDEAS home Printed from https://ideas.repec.org/a/vrs/vaecst/v15y2024i1p105-118n1009.html
   My bibliography  Save this article

The Use of Artificial Intelligence in Project Management

Author

Listed:
  • Duică Mircea Constantin

    (“Valahia” University of Târgoviște, Romania)

  • Vasciuc Săndulescu Cristina Gabriela

    (“Valahia” University of Târgoviște, Romania)

  • Panagoreț Dragoș

    (“Valahia” University of Târgoviște, Romania)

Abstract

The emergence of new technologies, especially artificial intelligence (AI), disrupts the functioning of organizations on many levels (processes, organization, strategy, communication, finance, etc.). These changes particularly affect the managerial function at the heart of organizations. AI is changing many aspects of managers' work, such as planning, organizing and monitoring work, as well as human resource management, including recruiting, training and developing employees. Technological advances, including AI, have profoundly influenced project management, leading to significant changes in the way projects are planned, organized, and monitored. Artificial intelligence is playing an increasingly important role in project management, providing managers with useful tools and data for decision-making and resource optimization. This can bring efficiency and precision to project management, helping to achieve set goals more effectively. The use of these new work tools that make it possible to improve the efficiency of tasks calls into question the existing management practices and requires an upgrade of the skills of managers so that they can fulfill their mission. In addition to the technical skills essential to handling new technological tools, managers must demonstrate emotional intelligence and openness to fulfill their role. Indeed, the introduction of new AI technologies within organizations can have direct and indirect effects on the work of managers. On the one hand, they have to adapt to the technologies that target their own tasks. On the other hand, they need to adapt their management methods to support their employees in the digital transformation that affects other aspects of the organization's operation. In this article, we first outline the main AI technologies used in the managerial field, followed by the advantages and potential these technologies offer to organizations. We then focus on the changes in the role and responsibilities of managers and the new skills they need to develop to succeed in their new work environment. The last part of the article addresses the challenges and problems that the application of these technologies raises in relation to the managerial profession.

Suggested Citation

  • Duică Mircea Constantin & Vasciuc Săndulescu Cristina Gabriela & Panagoreț Dragoș, 2024. "The Use of Artificial Intelligence in Project Management," Valahian Journal of Economic Studies, Sciendo, vol. 15(1), pages 105-118.
  • Handle: RePEc:vrs:vaecst:v:15:y:2024:i:1:p:105-118:n:1009
    DOI: 10.2478/vjes-2024-0009
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/vjes-2024-0009
    Download Restriction: no

    File URL: https://libkey.io/10.2478/vjes-2024-0009?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. Veale, Michael & Brass, Irina, 2019. "Administration by Algorithm? Public Management meets Public Sector Machine Learning," SocArXiv mwhnb, Center for Open Science.
    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. Katzenbach, Christian & Ulbricht, Lena, 2019. "Algorithmic governance," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 8(4), pages 1-18.
    2. König, Pascal D. & Wenzelburger, Georg, 2021. "The legitimacy gap of algorithmic decision-making in the public sector: Why it arises and how to address it," Technology in Society, Elsevier, vol. 67(C).
    3. Lena Ulbricht & Karen Yeung, 2022. "Algorithmic regulation: A maturing concept for investigating regulation of and through algorithms," Regulation & Governance, John Wiley & Sons, vol. 16(1), pages 3-22, January.
    4. Aristotelis Mavidis & Dimitris Folinas, 2022. "From Public E-Procurement 3.0 to E-Procurement 4.0; A Critical Literature Review," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    5. Kuziemski, Maciej & Misuraca, Gianluca, 2020. "AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings," Telecommunications Policy, Elsevier, vol. 44(6).
    6. Emily Keddell, 2019. "Algorithmic Justice in Child Protection: Statistical Fairness, Social Justice and the Implications for Practice," Social Sciences, MDPI, vol. 8(10), pages 1-22, October.
    7. Young Song, Annie & Lee, Seunghyeon & Wong, S.C., 2023. "A machine learning approach to analyzing spatiotemporal impacts of mobility restriction policies on infection rates," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    8. Katzenbach, Christian & Ulbricht, Lena, 2019. "Algorithmic governance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8(4), pages 1-18.

    More about this item

    Keywords

    artificial intelligence; manager; organization; technology;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O36 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Open Innovation

    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:vrs:vaecst:v:15:y:2024:i:1:p:105-118:n:1009. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.