---
_id: '65548'
abstract:
- lang: eng
  text: 'Developing Robotic Process Automation bots involves a wide range of skill
    sets. Besides insights from business process management, software development
    knowledge like systems interaction and network knowledge is required. For a well
    functioning process automation these different skill sets must be combined. In
    a design science research study, concepts from business process management, software
    development, and best practices are combined to design an actionable development
    method for RPA. The resulting PM2RPA method structures the development process
    in four stages: pre-Development, design, development and operations. Within these
    four stages, 14 activities support product owners, developers, and process experts
    over the course of the development process. The PM2RPA Method is demonstrated
    in an environment characterized by frequently changing business processes and
    heavy resource restrictions due to a lack of skilled workers. The PM2RPA method
    allows process-driven development while focusing on systems integration and reporting,
    resulting in a structured and comprehensive method for developing RPA bots. Practitioners
    can use this method to manage their automation projects. At the same time, researchers
    benefit from a baseline method aiming to address methodological research challenges
    and early insights into wider operational strategies for RPA.'
author:
- first_name: Alexander Marcus
  full_name: Skolik, Alexander Marcus
  id: '92908'
  last_name: Skolik
  orcid: 0009-0006-2519-1765
citation:
  ama: 'Skolik AM. Towards an Actionable Development Method for Robotic Process Automation
    Using Process Mining. In: van de Weerd I, Estrada Torres B, van der Aa H, eds.
    <i>Business Process Management Workshops</i>. Springer Nature Switzerland; 2026:171–186.'
  apa: Skolik, A. M. (2026). Towards an Actionable Development Method for Robotic
    Process Automation Using Process Mining. In I. van de Weerd, B. Estrada Torres,
    &#38; H. van der Aa (Eds.), <i>Business Process Management Workshops</i> (pp.
    171–186). Springer Nature Switzerland.
  bibtex: '@inproceedings{Skolik_2026, place={Cham}, title={Towards an Actionable
    Development Method for Robotic Process Automation Using Process Mining}, booktitle={Business
    Process Management Workshops}, publisher={Springer Nature Switzerland}, author={Skolik,
    Alexander Marcus}, editor={van de Weerd, Inge and Estrada Torres, Bedilia and
    van der Aa, Han}, year={2026}, pages={171–186} }'
  chicago: 'Skolik, Alexander Marcus. “Towards an Actionable Development Method for
    Robotic Process Automation Using Process Mining.” In <i>Business Process Management
    Workshops</i>, edited by Inge van de Weerd, Bedilia Estrada Torres, and Han van
    der Aa, 171–186. Cham: Springer Nature Switzerland, 2026.'
  ieee: A. M. Skolik, “Towards an Actionable Development Method for Robotic Process
    Automation Using Process Mining,” in <i>Business Process Management Workshops</i>,
    2026, pp. 171–186.
  mla: Skolik, Alexander Marcus. “Towards an Actionable Development Method for Robotic
    Process Automation Using Process Mining.” <i>Business Process Management Workshops</i>,
    edited by Inge van de Weerd et al., Springer Nature Switzerland, 2026, pp. 171–186.
  short: 'A.M. Skolik, in: I. van de Weerd, B. Estrada Torres, H. van der Aa (Eds.),
    Business Process Management Workshops, Springer Nature Switzerland, Cham, 2026,
    pp. 171–186.'
date_created: 2026-05-04T07:26:56Z
date_updated: 2026-05-04T07:28:06Z
editor:
- first_name: Inge
  full_name: van de Weerd, Inge
  last_name: van de Weerd
- first_name: Bedilia
  full_name: Estrada Torres, Bedilia
  last_name: Estrada Torres
- first_name: Han
  full_name: van der Aa, Han
  last_name: van der Aa
language:
- iso: eng
page: 171–186
place: Cham
publication: Business Process Management Workshops
publication_identifier:
  isbn:
  - 978-3-032-13426-4
publisher: Springer Nature Switzerland
status: public
title: Towards an Actionable Development Method for Robotic Process Automation Using
  Process Mining
type: conference
user_id: '92908'
year: '2026'
...
