| Abstract [eng] |
EFFECTS OF ROBOTIC PROCESS AUTOMATION SCALING TOWARDS THE CENTRALIZED AND FEDERATED OPERATING MODELS Marius PETKUS Master’s Thesis Strategic Information System Management programme Vilnius University, Faculty of Economics and Business Administration Supervisors: Lekt. Erika Matulytė, Lekt. Akvilė Rykovė Vilnius, 2022 SUMMARY 68 pages, 8 pictures, 26 tables, 82 references, 2 appendices The main goal of this Master’s Thesis is to find out the effects of robotic process automation (RPA) scaling towards the centralized and federated operating models and to construct recommendations for successful RPA development. Literature analysis reviews the RPA concept, its meaning and technological background, the benefits and challenges applying it are pointed out. Furthermore, the possibilities in business are discussed, along with stages to introduce RPA. Finally, several possible operating models for RPA scaling are described. After the literature analysis, empirical research was conducted to research the effects of RPA scaling towards the centralized and federated operating models and come up with actions to control the scaling of RPA and successfully develop it. A qualitative study was carried out during which a semi-structured interview method was used to collect data from single organization for each operating model. According to the results of the interviews, the effects of RPA scaling were distinguished for five RPA activity areas along with possible counter actions. Moving forward, the results were compared between the different operating models, pointing out similarities and differences. Finally, using the results of the study, a set of recommendations for RPA scaling was established, containing action items for both, the centralized and federated model. The performed research revealed that neither of the operating models stands out as superior when it comes to scaling. Although the federated model requires higher organizational maturity. A large part of resulting recommendations are not model specific, rather general practices for RPA development. To add up, during RPA scaling, operating models may require adjustments or transition to another model. According to the author, the insights and recommendations resulting from the research could be used a supplementary aid for enterprises either choosing an operating model or already in the stage of RPA programme development. |
