Artificial intelligence is a complex and widespread technology that is increasingly implemented in today’s businesses. As with implementation in general, organizations are faced with different types of barriers when implementing AI. This paper has explored barriers a public organization faces in its AI implementation efforts. We have generated new knowledge and expanded on prior research on AI readiness. A case study was chosen as the research method, paired with semi-structured interviews and documentation to gather the empirical data. The result of the study highlights the specific barriers faced by the public organization. Additionally, we formed a new perspective called the AI resourcing perspective from the data and prior research, which later turned into an AI resourcing model. The model serves as a practical tool to support organizations on their journeys toward making AI a resource.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-194245 |
| Date | January 2022 |
| Creators | Carlson, Jesper, Viklund, Andreas |
| Publisher | Umeå universitet, Institutionen för informatik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | Informatik Student Paper Master (INFSPM) ; 2022.04 |
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