HALAŠKA, Michal. The importance of lifecycle extension model for implementation of RPA. In DUHÁČEK ŠEBESTOVÁ, J., ŠPERKA, R., SUCHÁNEK, P., ČEMERKOVÁ, Š., RYLKOVÁ, Ž., MATUŠÍNSKÁ, K., BAUEROVÁ, R., MAZUREK, J., DOLÁK, R. 3rd International conference on Decision making for Small and Medium-Sized Enterprises. Karviná: Silesian University in Opava, School of Business Administration in Karviná, 2021, p. 183-192. ISBN 978-80-7510-456-4.
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Basic information
Original name The importance of lifecycle extension model for implementation of RPA
Authors HALAŠKA, Michal (203 Czech Republic, guarantor, belonging to the institution).
Edition Karviná, 3rd International conference on Decision making for Small and Medium-Sized Enterprises, p. 183-192, 10 pp. 2021.
Publisher Silesian University in Opava, School of Business Administration in Karviná
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50204 Business and management
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/47813059:19520/21:A0000269
Organization unit School of Business Administration in Karvina
ISBN 978-80-7510-456-4
Keywords in English business process analysis; information systems; process mining; RPA
Tags Reviewed
Changed by Changed by: Ing. et Ing. Michal Halaška, Ph.D., učo 34141. Changed: 20/1/2022 13:46.
Abstract
Many information systems (IS) nowadays record data, which can be used for the purpose of business process analysis using process mining (PM) techniques. However, the usability of such data for business process analysis is limited through lifecycle extension model of recorded events. Thus, it is necessary to consider in what form should IS record data, even though company´s management does not initially intend to use such data. The purpose of the research is to show the importance of lifecycle extension model and impact of different forms of lifecycle extension model on business process analysis with focus on implementation of robotic process automation (RPA). We analyzed three publicly available data sets with different forms of lifecycle extension models of recorded events using PM and compared the impact of given forms of lifecycle extension models on the analysis of business processes when used for the implementation of RPA. Based on our analysis, we recommend which forms of lifecycle transition should be used.
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