Abstract
Business Process Management Systems (BPMS) and Robotic Process Automation (RPA) gain increasing relevance in digital transformation to enact and automate business processes. Recent discussions in academia and practice indicate a promising yet challenging integration of both technologies based on a standardized language for consistent process modeling and orchestration, like the Business Process Model and Notation (BPMN). However, scientific literature lacks profound approaches. Guided by Design Science Research, this empirical study substantiates the current debate with a scientifically grounded concept for integrating BPMS and RPA. Resting upon data from 20 expert interviews, we present the requirements and conceptual design of a holistic BPMS-RPA platform based on BPMN. The practicability of our approach is substantiated by five evaluation interviews and a prototypical implementation. Finally, we outline directions for further research and organizational practice.
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Notes
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The open-source prototype can be found here: https://github.com/bptlab/holistic-process-platform.
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https://robotframework.org/ (accessed: 11.04.2022).
References
Agostinelli, S., Marrella, A., Mecella, M.: Towards Intelligent Robotic Process Automation for BPMers (2020). https://arxiv.org/pdf/2001.00804
Cabello Ruiz, R., Jiménez-Ramírez, A., Escalona Cuaresma, M.J., González Enríquez, J.: Hybridizing humans and robots: an RPA horizon envisaged from the trenches. Comput. Ind. 138, 103615 (2022)
Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management, 2nd edn. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-56509-4
Flechsig, C., Lohmer, J., Lasch, R.: Realizing the full potential of robotic process automation through a combination with BPM. In: Bierwirth, C., Kirschstein, T., Sackmann, D. (eds.) Logistics Management. LNL, pp. 104–119. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29821-0_8
Hofmann, P., Samp, C., Urbach, N.: Robotic process automation. Electron. Mark. 30(1), 99–106 (2019). https://doi.org/10.1007/s12525-019-00365-8
Hüller, L., Jenß, K.E., Speh, S., Woelki, D., Völker, M., Weske, M.: Ark automate - an open-source platform for robotic process automation. In: Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021, pp. 126–130. CEUR-WS.org (2021)
Jiménez-Ramírez, A.: Humans, processes and robots: a journey to hyperautomation. In: González Enríquez, J., Debois, S., Fettke, P., Plebani, P., van de Weerd, I., Weber, I. (eds.) BPM 2021. LNBIP, vol. 428, pp. 3–6. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-85867-4_1
König, M., Bein, L., Nikaj, A., Weske, M.: Integrating robotic process automation into business process management. In: Asatiani, A., et al. (eds.) BPM 2020. LNBIP, vol. 393, pp. 132–146. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58779-6_9
Ludacka, F., Duell, J., Waibel, P.: Digital transformation of global accounting at deutsche bahn group: the case of the TIM BPM suite. In: vom Brocke, J., Mendling, J., Rosemann, M. (eds.) Business Process Management Cases Vol. 2, pp. 57–68. Springer, Heidelberg (2021). https://doi.org/10.1007/978-3-662-63047-1_5
Mayring, P.: Qualitative content analysis: theoretical foundation, basic procedures and software solution. SSOAR (2014)
Mendling, J., Decker, G., Hull, R., Reijers, H.A., Weber, I.: How do machine learning, robotic process automation, and blockchains affect the human factor in business process management? Commun. Assoc. Inf. Syst. 43, 297–320 (2018)
Object Management Group: Business Process Model and Notation (BPMN): Version 2.0.2 (2013). https://www.omg.org/spec/BPMN/2.0.2/PDF
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45–77 (2007)
Penttinen, E., Kasslin, H., Asatiani, A.: How to choose between robotic process automation and back-end system automation? In: ECIS 2018. AIS (2018)
Reijers, H.A.: Business process management: the evolution of a discipline. Comput. Ind. 126, 103404 (2021)
Rinderle-Ma, S., Rücker, B.: 3rd BPM Expert Forum: Will RPA make BPMSs redundant? (2021). https://bpm-conference.org/bpma/expert-forum/3
Röglinger, M., et al.: Exogenous shocks and business process management. Bus. Inf. Syst. Eng. (2022). https://doi.org/10.1007/s12599-021-00740-w
Romao, M., Costa, J., Costa, C.J.: Robotic process automation: a case study in the banking industry. In: CISTI 2019. IEEE (2019)
Runeson, P., Höst, M., Rainer, A., Regnell, B.: Case Study Research in Software Engineering: Guidelines and Examples, 1st edn. Wiley, Hoboken (2012)
Simek, D., Sperka, R.: How robot/human orchestration can help in an HR department: a case study from a pilot implementation. Organizacija 52(3), 204–217 (2019)
Syed, R., et al.: Robotic process automation: contemporary themes and challenges. Comput. Ind. 115, 103162 (2020)
van der Aalst, W.M.P., Bichler, M., Heinzl, A.: Robotic process automation. Bus. Inf. Syst. Eng. 60(4), 269–272 (2018)
van Looy, A., de Backer, M., Poels, G.: Defining business process maturity. A journey towards excellence. Total Qual. Manag. Bus. Excell. 22(11), 1119–1137 (2011)
van Nuffel, D., de Backer, M.: Multi-abstraction layered business process modeling. Comput. Ind. 63(2), 131–147 (2012)
Völker, M., Siegert, S., Weske, M.: Adding decision management to robotic process automation. In: González Enríquez, J., Debois, S., Fettke, P., Plebani, P., van de Weerd, I., Weber, I. (eds.) BPM 2021. LNBIP, vol. 428, pp. 23–37. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-85867-4_3
Wanner, J., Hofmann, A., Fischer, M., Imgrund, F., Janiesch, C., Geyer-Klingeberg, J.: Process selection in RPA projects - towards a quantifiable method of decision making. In: ICIS 2019 Proceedings. AIS (2019)
Weske, M.: Business Process Management: Concepts, Languages, Architectures, 3rd edn. Springer, Heidelberg (2019)
Acknowledgments
We thank Mika Göckel and Alexander Steiner for the constructive discussions that contributed to the improvement of this article.
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Flechsig, C., Völker, M., Egger, C., Weske, M. (2022). Towards an Integrated Platform for Business Process Management Systems and Robotic Process Automation. In: Marrella, A., et al. Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum. BPM 2022. Lecture Notes in Business Information Processing, vol 459. Springer, Cham. https://doi.org/10.1007/978-3-031-16168-1_9
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