Methodology for Evaluating the Appropriateness of a Business Process for Robotic Process Automation

Abhishta Abhishta, Lars Berghuis, Wouter van Heeswijk, Aizhan Tursunbayeva

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review


Robotic process automation (RPA) is often used by organisations to automate standard and repetitive business processes with the aim of improving firm performance. In some firms, processes such as invoice processing, onboarding and payment reminder notification are no longer required to be performed by humans. A successful implementation of RPA results in benefits such as FTE savings and increased employee satisfaction. However, when the wrong processes are chosen to be automated, the RPA implementation process becomes tedious and non-rewarding. Organisations often tend to select processes that are too complex or that require tasks necessitating human interventions. A miss-assessment in selection of a business process for automation leads to overly long development time and maintenance-intensive digital robots. Currently used process selection methods - such as interviews and process mining - might help with the identification of suitable processes, but are time consuming, complex, unsystematic and dependent on the individual. This book chapter discusses the different process selection methods covered in literature and suggests a workshop design that can be utilised to select business processes suitable for RPA implementation. The proposed workshop-based process selection method takes into consideration the recommendations of multiple stakeholders of a business process, evaluating the complexity of a business process to RPA fit and providing insights on expected benefits of RPA implementation.

Original languageEnglish
Title of host publicationImpact of Artificial Intelligence in Business and Society
Subtitle of host publicationOpportunities and Challenges
PublisherTaylor & Francis
Number of pages29
ISBN (Electronic)9781000912623
ISBN (Print)9781032303413
Publication statusPublished - 1 Jan 2023


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