University of Twente Student Theses
Predicting the Profitability of Robotic Process Automation with a Dynamic Business Modeler
Beijer, Tim (2022) Predicting the Profitability of Robotic Process Automation with a Dynamic Business Modeler.
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| Abstract: | Robotic Process Automation (RPA) is an emerging technology that automates well-defined and repetitive tasks, that used to be done by humans. RPA has gained a lot of corporate attention, due to the potential benefits of RPA. However, 30-50 precent of the initial RPA project fail to be profitable. One of the main reasons for these failures is selecting the wrong business process to auto-mate. The goal of this paper is to develop a dynamic model that helps enterprises selecting the right processes for RPA. The pa-per follows the Design Science Research approach to develop the model. As a result, a System Dynamics model made in Insight maker is presented. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 85 business administration, organizational science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/89472 |
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