2018 · 101 citations · 3 references
BusinessInformation SystemsManagement Information SystemsAutomationBusiness Process ManagementRoboticsBusiness Process AutomationBusiness Process ReengineeringIndustrial AutomationProcess AutomationCycle TimeRobotic Process AutomationRobotic Process Automation AdoptionRobotics Adoption
Robotic Process Automation automates repetitive human tasks, offering benefits such as improved efficiency, productivity, data security, reduced cycle time, and accuracy, but its adoption remains challenging for organizations. This paper seeks to enable organizations to adopt RPA effectively for automating business processes. The authors propose a process‑analysis method that guides organizations in evaluating their processes to identify those best suited for RPA, based on defined principles. Applying this method to key banking processes yielded results demonstrating its practicality and effectiveness in selecting suitable processes for RPA.
Robotic Process Automation (RPA) is an emerging approach that automates repetitive human tasks using robots. For business processes, RPA refers to configuring software-based robots to do the work previously done by actors in the organizations. RPA offers many benefits including improved business efficiency, increased productivity, data security, reduced cycle time, and improved accuracy while allowing organizations to relieve their employees from repetitive and tedious tasks. However, implementing RPA represents a challenge and organizations must learn to manage RPA adoption to achieve maximum results. This paper aims to help organizations to effectively adopt RPA for automating their business processes. More precisely, it proposes a new method to guide organizations in analyzing their business processes in order to identify the most suitable for RPA. We present the principles underlying our method and the results obtained in the context of key processes from the banking domain.
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Bill Curtis, Marc I. Kellner, Jim Over · Communications of the ACM · 1992 · 1.6K citations · Full text