HALAŠKA, Michal a Roman ŠPERKA. Utilization of Time-driven Activity-based Costing and Process Simulation in Cost Management of Organization. E+M Ekonomie a Management. Liberec: Technická univerzita v Liberci, 2024, roč. 27, č. 2, s. 50–68. ISSN 1212-3609. Dostupné z: https://dx.doi.org/10.15240/tul/001/2024-5-007.
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Základní údaje
Originální název Utilization of Time-driven Activity-based Costing and Process Simulation in Cost Management of Organization
Autoři HALAŠKA, Michal (203 Česká republika, domácí) a Roman ŠPERKA (703 Slovensko, garant, domácí).
Vydání E+M Ekonomie a Management, Liberec, Technická univerzita v Liberci, 2024, 1212-3609.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 50200 5.2 Economics and Business
Stát vydavatele Česká republika
Utajení není předmětem státního či obchodního tajemství
WWW URL
Organizační jednotka Obchodně podnikatelská fakulta v Karviné
Doi http://dx.doi.org/10.15240/tul/001/2024-5-007
Klíčová slova anglicky Business processes; process mining; simulation; TDABC; RPA; automation
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: doc. RNDr. Ing. Roman Šperka, Ph.D., učo 18157. Změněno: 27. 6. 2024 15:21.
Anotace
The deployment of information and communication technologies in organizations is on the rise. Many organizations consider the application of technologies to be a crucial key to improve their processes. However, traditional costing systems are not suitable for cost estimation of business processes due to the use of volume-based cost drivers, which are often not adequate for the structure of today’s organizations. In this research, we present an overview of how the TDABC (time-driven activity-based costing) model can be combined with process mining and business process simulation for cost estimation of such processes. The objective of this paper is to use the cost dimension as a major attribute for the potential implementation of robotic process automation (RPA) in companies. However, information and communication technologies could be considered in general. We demonstrate our approach in a case study that takes advantage of a real-life event log containing transactional data representing the loan application process in an insurance company. The event log is analyzed and processed using process mining techniques. Based on the preprocessing, a simulation model representing the original loan application process is designed. The designed simulation model is then used for simulation of partial and full implementation of RPA through separate scenarios. Then, we add the cost dimension to the simulation by enriching the event log with cost data based on a formalized cost model. We show that even though partial implementation of RPA might not deliver significant increase in efficiency in the process, it might still represent significant cost savings.
VytisknoutZobrazeno: 31. 7. 2024 12:26