University of Twente Student Theses
AI-assisted strategic and tactical workforce planning
Harmsel, Hendrik Jan Robert ter (2023) AI-assisted strategic and tactical workforce planning.
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| Abstract: | The study found that resource allocation and demand forecasting, two parts of both mid- and long-term workforce planning, can be mostly done by tools like Microsoft Copilot, offering a high effectiveness of the process and outcomes. The key take-aways of this study are that AI looks very promising to increase the effectiveness of the workforce planning. However, there are several limitations and obstacles that should be considered. Many organizations are resistant to AI, and a large and up-to-date dataset is required. This could lead to high costs, since the dataset would first have to be established. Fully automated AI might not be possible in very dynamic and complex environments, like health care. This is mostly due to the fact that it is hard to get consistent data in a dynamic environment, on which the AI can learn. A golden mean between AI and humans should be desired, in which AI will support humans by easing the process and in which humans will support AI by checking the accuracy, maintaining the system with new datasets and to help with decision-making in complex scenarios. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Programme: | International Business Administration BSc (50952) |
| Link to this item: | https://purl.utwente.nl/essays/97807 |
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