The Digital Twin (DT), a tool dedicated for decision-making and management, has recently started making its way into today’s digitalized world. It is described as a digital representation of a physical object, system, or process, mimicking its physical counterpart using real-time data and monitoring which can be used for decision-making, optimization, and designing (Singh et al., 2021). Not only can DTs be used for a single object, but can also be implemented on whole cities generating valuable insights improving a city’s management, operability, and realization. However, due to the infancy of the concept, further research is required to presuppose accurate city DTs. This can be done by exploring the implementation of DTs in the different sectors of a city (Shahat et al., 2021). Therefore, this report aims to identify areas in which an university in Sweden could benefit from the implementation of a DT, contributing to the knowledge gap regarding DT implementation in the education sector and furthermore the city DT development as a whole. To identify areas in which the university could benefit from a DT, semi-structured interviews were held with chief positions at the university. The aim of the interviews was to identify the university’s main challenges, and then map the challenges to DT solutions in literature and previous research. The identified challenges at the university were Decision-making processes, Recruitment procedures and forecasting, Quality assurance, and Unclear action plan on becoming a sustainable campus. The challenges Decision-making processes and Recruitment procedures and forecasting were mapped to the Digital Twin of an Organization (DTO). This kind of DT can help organizations with, for instance, responding to changes and delivering value for customers (van der Aalst et al., 2021). The last challenge, Unclear action plan on becoming a sustainable campus, was connected to a DT that can help the university in enhancing its energy management.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hj-65002 |
| Date | January 2024 |
| Creators | Andersson, Kajsa, Frössling, Caroline |
| Publisher | Jönköping University, JTH, Avdelningen för datateknik och 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 |
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