When a company decides to automate its business processes by means of RPA (Robotic Process Automation), there are two fundamental questions that need to be answered. Firstly, what activities should the company automate and what characteristics make them suitable for RPA. The aim of the presented research is to design and demonstrate a data-driven performance framework assessing the impact of RPA implementation using process mining (PPAFR). Firstly, we comment on and summarise existing trends in process mining and RPA. Secondly, we describe research objectives and methods following the Design Science Research Methodology. Then, we identify critical factors for RPA implementation and design process stages of PPAFR. We demonstrate the design on real data from a loan application process. The demonstration consists of a process discovery using process mining methods, process analysis, and process simulation with assessment of RPA candidates. Based on the research results, a redesign of the process is proposed with emphasis on RPA implementation. Finally, we discuss the usefulness of PPAFR by helping companies to identify potentially suitable activities for RPA implementation and not overestimating potential gains. Obtained results show that within the loan application process, waiting times are the main causes of extended cases. If the waiting times are generated internally, it will be much easier for the company to address them. If the automation is focused mainly on processing times, the impact of automation on the overall performance of the process is insignificant or very low. Moreover, the research identified several characteristics which have to be considered when implementing RPA due to the impact on the overall performance of the process.

当一家公司决定通过 RPA（机器人流程自动化）实现其业务流程自动化时，有两个基本问题需要回答。首先，公司应该自动化哪些活动以及哪些特征使其适合 RPA。本研究的目的是设计和演示一个数据驱动的性能框架，以评估使用流程挖掘 (PPAFR) 实施 RPA 的影响。首先，我们对流程挖掘和 RPA 的现有趋势进行评论和总结。其次，我们描述了遵循设计科学研究方法论的研究目标和方法。然后，我们确定了 PPAFR 的 RPA 实施和设计过程阶段的关键因素。我们演示了贷款申请流程中真实数据的设计。该演示包括使用流程挖掘方法的流程发现、流程分析和流程模拟以及对 RPA 候选者的评估。根据研究结果，提出了流程的重新设计，重点是 RPA 的实施。最后，我们通过帮助公司确定可能适合 RPA 实施的活动而不是高估潜在收益来讨论 PPAFR 的用处。获得的结果表明，在贷款申请过程中，等待时间是延长案件的主要原因。如果等待时间是内部产生的，公司将更容易解决这些问题。如果自动化主要关注处理时间，则自动化对流程整体性能的影响微不足道或非常低。而且，