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Systematic identification of opportunities to apply Artificial Intelligence to increase efficiency of business processes: a literature review and case study
Schoeren, D.M.Q. (2025) Systematic identification of opportunities to apply Artificial Intelligence to increase efficiency of business processes: a literature review and case study.
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| Abstract: | Artificial Intelligence (AI) is an emerging technology attributed to have the potential to radically impact current business practices. The technology’s most reported business value is its ability to improve the efficiency of business processes (BPs) which it enables through automating or augmenting tasks. Organisations indicate to be interested in adoption, but struggle to realize the technology’s potential in practice. A specific identified problem is the lack understanding of where AI can be applied in organisations. Previous studies adopt Business Process Management (BPM) methodology to address this issue. This paper recognizes a shortcoming of this approach related to AI: BPM lacks adequate methodology to evaluate technology for implementation. Therefore, in order to provide a more robust and systematic method to evaluate BPs for AI implementation, the theoretical basis of this paper consists of BPM complemented with Task-Technology Fit (TTF) theory. TTF is used to match AI technologies with the type of task it can support. This study adopts a Design Science Research methodology to design an artifact, namely a five-step framework organisations can use to systematically identify opportunities to apply AI to increase efficiency of BPs. This framework is applied in practice in the form of a case study at a data consultancy start-up. There it was shown that the framework results in an overview of the tasks in the different BPs with the most suitable AI technology. This overview is evaluated to be useful in the process of identifying opportunities to apply AI. It was, however, also found that the framework relies on subjective judgement and does not result in concrete AI solutions but rather provides a basis, in the form of an overview, that supports identifying opportunities for AI technologies. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | International Business Administration BSc (50952) |
| Link to this item: | https://purl.utwente.nl/essays/106823 |
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