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An Authoritative Study on the Near Future Effect of Artificial Intelligence on Project Management Knowledge Areas

Author

Listed:
  • Thordur Vikingur Fridgeirsson

    (Department of Engineering, Reykjavik University, 101 Reykjavík, Iceland)

  • Helgi Thor Ingason

    (Department of Engineering, Reykjavik University, 101 Reykjavík, Iceland)

  • Haukur Ingi Jonasson

    (Department of Engineering, Reykjavik University, 101 Reykjavík, Iceland)

  • Hildur Jonsdottir

    (Department of Engineering, Reykjavik University, 101 Reykjavík, Iceland)

Abstract

The purpose of this study is to explore how Artificial Intelligence (AI) might augment the project management profession in each of the 10 categories of project management knowledge areas, as defined in the Project Management Body of Knowledge (PMBOK) of the Project Management Institute (PMI). In a survey, a group of project management experts were asked to state their insights into AI’s likely effect on project management in the next 10 years. Results clearly illustrated that AI will be an integrated part of future project management practice and will affect project management knowledge areas in the near future. According to these findings, the management of cost, schedule, and risk, in particular, will be highly affected by AI. The research indicates that AI is very useful for processes where historical data is available and can be used for estimation and planning. In addition, it is clear that AI can monitor schedules, adjust forecasts, and maintain baselines. According to the findings, AI will have less impact in knowledge areas and processes that require human leadership skills, such as developing and managing teams and the management of stakeholders. The results indicate proprietarily the project management knowledge areas as defined by PMI that AI is likely to augment and sustain.

Suggested Citation

  • Thordur Vikingur Fridgeirsson & Helgi Thor Ingason & Haukur Ingi Jonasson & Hildur Jonsdottir, 2021. "An Authoritative Study on the Near Future Effect of Artificial Intelligence on Project Management Knowledge Areas," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2345-:d:503529
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    References listed on IDEAS

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    Cited by:

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    3. Armenia, Stefano & Franco, Eduardo & Iandolo, Francesca & Maielli, Giuliano & Vito, Pietro, 2024. "Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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