UdZ 01.21

SPECTRUM – APPLIED RESEARCH 30 / UdZ 2-2021 concepts for increasing the acceptance of RPA in SMEs will be developed and tested with the committee accompanying the project. Throughout the project, the (interim) results will be transferred for direct application in practice. Benefits of the Project Results for SMEs The expected benefit of the presented approach for SMEs can be separated into indirect and direct benefit aspects. The direct benefit results from the reduction of biases towards automation, which improves employee acceptance of the use of RPA. In addition, the training concepts to be developed lead to effective use of RPA by employees. The efficiency potentials associated with RPA can thus be raised in the long term. This is particularly relevant for SMEs in order to optimally allocate existing resources. The indirect benefit consists of raising employees’ awareness of digitization tools. General acceptance and openness to further digitization initiatives can thus be strengthened by the results of the research project and socio-technical entry barriers to the use of further technologies lowered. go Literatur B lue P rism (H rsg ): Anwendungsbeispiele RPA. https://www.blueprism.com/de/ resources/case-studies/ G ötzen , R.: Robotic Process Automation – Intelligent die Effizienz inner- betrieblicher Geschäftsprozesse steigern. FIR-Flash online, (2019)4. https:// www.fir.rwth-aachen.de/fileadmin/newsroom/newsletter/fir-fir-newslet- ter-2019-04-leitartikel.pdf (Link zuletzt geprüft: 14.07.2021) KPMG (H rsg .): Trust inAI. A five country study. Zugriff am14.06.2021, von htt- ps://home.kpmg/au/en/home/insights/2020/10/artificial-intelligence-trust-ai.html L acity , M. C.; W illcocks , L. P.: Robotic Process Automation at Telefónica O2. In: MIS Quarterly Executive 15 (2016) 1, S. 21 – 35. M akridakis , S. G.: Forecasting, planning, and strategy for the 21st century. Free Press, NewYork 1990. P w C (H rsg .): PwC ’ s Global Data andAnalytics Survey 2016: Big Decisions. https:// www.pwc.de/de/business-analytics/assets/big-decisions-survey-2016.pdf. P w C (H rsg .): Studie Robotic Process Automation im Accounting. PwC- Studie 2020 über den Status quo, die Chancen und die Herausforderungen des RPA-Einsatzes im Accounting in der DACH-Region. https://www.pwc.de/de/ rechnungslegung/studie-robotic-process-automation-im-accounting.html (Link zuletzt geprüft: 14.07.2021) S adun , R.; B loom , N.; V an R eenen , J.: Operative Exzellenz: Die wichtigste Disziplin. In: Harvard Business Manager 40(2018)1, S. 36 – 45. van der A alst , W. M. P.; B ichler , M.; H einzl , A.: Robotic Process Automation. In: Business & Information Systems Engineering 60 (2018) 4, S. 269 – 272. Rafael Götzen, M.Sc. Project Manager Business Transformation FIR e. V. at RWTH Aachen University Phone: +49 241 47705-315 Email: Rafael.Goetzen@ fir.rwth.aachen.de The committee accompanying the project can be expanded at any time and allows companies to participate in many ways. If you are interested in the topic, are already using RPA or planning to introduce it, or would like to actively participate, please feel free to contact us. You will benefit from the regular exchange with the other participants, you can participate in the results early on and use them for your own benefit. Participation is free of charge and without obligation. Project title: RPAcceptance Funding/Promoters: Arbeitsgemeinschaft industrieller Forschungsvereinigungen “ Otto von Guericke ” e. V. (AiF) Funding no.: 21512 N Research Partners: International Performance Research Institute (IPRI) Project Partner: 4C Group, SEW-EURODRIVE GmbH & Co. KG, TEN4 Consulting GmbH, Westaflex Werk GmbH, TRUMPF GmbH & Co. KG, SUBITO AG, noltewerk GmbH & Co. KG, Möllmann Consulting International, UiPath SRL, Horváth & Partners Management Consultants AG, exprobico, IPRI The IGF project 21512 N of the Research Association FIR e. V. at RWTH Aachen University was funded by the Federal Ministry for Economic Affairs and Energy ( “ Bundesministerium für Wirtschaft und Energie ” , BMWi) via the AiF within the framework of the programme for the promotion of joint industrial research (IGF) on the basis of a resolution of the German Bundestag . Website: rpacceptance.fir.de