Details
| Translated title of the contribution | Robotic process automation (RPA): maturity model for identifying RPA-suitable processes with regard to the dimension of data |
|---|---|
| Original language | German |
| Journal | Logistics Journal |
| Volume | 2022 |
| Issue number | 12 |
| Publication status | Published - 1 Dec 2022 |
Abstract
For the introduction of RPA in a company, the first step is to identify suitable business processes. For this purpose, the processes are evaluated with regard to various selection criteria, such as complexity or case-sensitiv-ity. Another criterion for the selection and evaluation of processes is the data on which the process is based. In this paper, a maturity model is presented, which subdivides the selection criterion data into the 5 assessable categories digitisation level, data quantity, data variance, data for-mat and data responsibility.
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Management Information Systems
- Engineering(all)
- Control and Systems Engineering
- Decision Sciences(all)
- Management Science and Operations Research
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In: Logistics Journal, Vol. 2022, No. 12, 01.12.2022.
Research output: Contribution to journal › Article › Research
}
TY - JOUR
T1 - Robotergesteuerte Prozessautomatisierung (RPA)
T2 - Reife-gradmodell zur Identifizierung RPA geeigneter Prozesse hinsichtlich der Dimension Daten
AU - Kutzner, Christian
AU - Kuiter, Kilian
AU - Jurisic, Stjepan
AU - Stonis, Malte
AU - Nyhuis, Peter
PY - 2022/12/1
Y1 - 2022/12/1
N2 - For the introduction of RPA in a company, the first step is to identify suitable business processes. For this purpose, the processes are evaluated with regard to various selection criteria, such as complexity or case-sensitiv-ity. Another criterion for the selection and evaluation of processes is the data on which the process is based. In this paper, a maturity model is presented, which subdivides the selection criterion data into the 5 assessable categories digitisation level, data quantity, data variance, data for-mat and data responsibility.
AB - For the introduction of RPA in a company, the first step is to identify suitable business processes. For this purpose, the processes are evaluated with regard to various selection criteria, such as complexity or case-sensitiv-ity. Another criterion for the selection and evaluation of processes is the data on which the process is based. In this paper, a maturity model is presented, which subdivides the selection criterion data into the 5 assessable categories digitisation level, data quantity, data variance, data for-mat and data responsibility.
KW - automation
KW - data
KW - maturity model
KW - Robotic Process Automation
KW - RPA
UR - http://www.scopus.com/inward/record.url?scp=85146820051&partnerID=8YFLogxK
U2 - 10.2195/lj_notrev_kutzner_de_202212_01
DO - 10.2195/lj_notrev_kutzner_de_202212_01
M3 - Artikel
AN - SCOPUS:85146820051
VL - 2022
JO - Logistics Journal
JF - Logistics Journal
SN - 1860-7977
IS - 12
ER -