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Description
Robotic Process Automation (RPA) is a technology for conducting time-consuming business activities. The implementation of RPA requires assessing processes' suitability for automation. Traditionally, this assessment is done manually despite the fact that an accurate depiction of the process could be obtained using Process Mining. However, there is a lack of guidance on how to utilize Process Mining as a data-driven approach for conducting RPA process suitability assessment. For this reason, this research is aiming to propose a framework for process suitability assessment (FPSA). This Framework will provide organizations with a guide on performing a standard, data-driven RPA process suitability assessment using Process Mining. The development of the framework necessitated the identification of a standard set of criteria for assessment as well as a scoring model to measure such criteria. The evaluation of the framework showed evidence of the potential benefits that will ease the process assessment in RPA projects.
Recommended Citation
Shafik Salah Elsayed, Nourhan and Kassem, Gamal, "Assessing Process Suitability for Robotic Process Automation: A Process Mining Approach" (2022). Wirtschaftsinformatik 2022 Proceedings. 18.
https://aisel.aisnet.org/wi2022/student_track/student_track/18
Assessing Process Suitability for Robotic Process Automation: A Process Mining Approach
Robotic Process Automation (RPA) is a technology for conducting time-consuming business activities. The implementation of RPA requires assessing processes' suitability for automation. Traditionally, this assessment is done manually despite the fact that an accurate depiction of the process could be obtained using Process Mining. However, there is a lack of guidance on how to utilize Process Mining as a data-driven approach for conducting RPA process suitability assessment. For this reason, this research is aiming to propose a framework for process suitability assessment (FPSA). This Framework will provide organizations with a guide on performing a standard, data-driven RPA process suitability assessment using Process Mining. The development of the framework necessitated the identification of a standard set of criteria for assessment as well as a scoring model to measure such criteria. The evaluation of the framework showed evidence of the potential benefits that will ease the process assessment in RPA projects.