Detailed Information on Publication Record
2020
Managing the Business Processes under the Influence of Industry 4.0: Case Study of Loan Application
HALAŠKA, Michal and Roman ŠPERKABasic information
Original name
Managing the Business Processes under the Influence of Industry 4.0: Case Study of Loan Application
Authors
HALAŠKA, Michal (203 Czech Republic, belonging to the institution) and Roman ŠPERKA (703 Slovakia, guarantor, belonging to the institution)
Edition
International Journal of Business Information Systems, 2020, 1746-0972
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
50204 Business and management
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/47813059:19520/20:A0000146
Organization unit
School of Business Administration in Karvina
Keywords in English
BPM; Business process management; Industry 4.0; Model; PM; Process mining; Processes
Tags
International impact, Reviewed
Změněno: 3/11/2020 11:53, doc. RNDr. Ing. Roman Šperka, Ph.D.
Abstract
V originále
It is intended that the digital technologies and enterprise information systems are aligned with underlying business and manufacturing processes to perform at the highest levels in companies. The focus of the paper is on operational processes running in companies from different perspectives based on state-of-the-art of Industry 4.0 concept. It discusses the potential of process mining techniques for Industry 4.0. The core of the paper demonstrates how can process mining method enhance elements of Industry 4.0 concept through case study from financial sector with the emphasis given on efficiency and monitoring of a loan process. The research shows that management of business and manufacturing processes is very important due to the properties of processes of Industry 4.0 concept like, e.g., self-organisation, autonomy, decentralisation, that is seriously challenging to manage. The introduced methodology could help companies to diagnose issues in their operational processes and thus brings a completive advantage when implemented.