Robotic Process Automation (RPA) has promised significant opportunities for organisations, which has led to a large backlog of opportunities. However, lim-ited attention has been given to studies regarding project selection in relation to RPA. This thesis investigates how organisations prioritise their Robotic Process Automation project backlog to maximise the value of the technology. Drawing from the three concepts of automation, IT governance and decision structure, we have analysed case organisations in order to understand the current landscape. Through a Design Science approach we have outlined a computerised analyti-cal hierarchical system capable of structuring large backlogs. We have identified fourteen parameters suited to prioritise RPA projects in a quantified framework. The parameters have all been weighted based on the average score discovered interviewing multiple respondents across public and private organisations. We discussed to which degree such a framework could be generalised across multi-ple industries. We found that specifically the roles and organisational maturity will have an impact when adopting the framework.
|Educations||MSc in Business Administration and Information Systems, (Graduate Programme) Final Thesis|
|Number of pages||164|
|Supervisors||Kim Normann Andersen|