Robotergesteuerte Prozessautomatisierung (RPA): Reife-gradmodell zur Identifizierung RPA geeigneter Prozesse hinsichtlich der Dimension Daten

Research output: Contribution to journalArticleResearch

Authors

  • Christian Kutzner
  • Kilian Kuiter
  • Stjepan Jurisic
  • Malte Stonis
  • Peter Nyhuis

External Research Organisations

  • Institut für integrierte Produktion Hannover (IPH)
  • International Performance Research Institute (IPRI)
View graph of relations

Details

Translated title of the contributionRobotic process automation (RPA): maturity model for identifying RPA-suitable processes with regard to the dimension of data
Original languageGerman
JournalLogistics Journal
Volume2022
Issue number12
Publication statusPublished - 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

Cite this

Robotergesteuerte Prozessautomatisierung (RPA): Reife-gradmodell zur Identifizierung RPA geeigneter Prozesse hinsichtlich der Dimension Daten. / Kutzner, Christian; Kuiter, Kilian; Jurisic, Stjepan et al.
In: Logistics Journal, Vol. 2022, No. 12, 01.12.2022.

Research output: Contribution to journalArticleResearch

Kutzner C, Kuiter K, Jurisic S, Stonis M, Nyhuis P. Robotergesteuerte Prozessautomatisierung (RPA): Reife-gradmodell zur Identifizierung RPA geeigneter Prozesse hinsichtlich der Dimension Daten. Logistics Journal. 2022 Dec 1;2022(12). doi: 10.2195/lj_notrev_kutzner_de_202212_01
Kutzner, Christian ; Kuiter, Kilian ; Jurisic, Stjepan et al. / Robotergesteuerte Prozessautomatisierung (RPA) : Reife-gradmodell zur Identifizierung RPA geeigneter Prozesse hinsichtlich der Dimension Daten. In: Logistics Journal. 2022 ; Vol. 2022, No. 12.
Download
@article{5613440690da4b24b7f5f6eb7aaf0caa,
title = "Robotergesteuerte Prozessautomatisierung (RPA): Reife-gradmodell zur Identifizierung RPA geeigneter Prozesse hinsichtlich der Dimension Daten",
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.",
keywords = "automation, data, maturity model, Robotic Process Automation, RPA",
author = "Christian Kutzner and Kilian Kuiter and Stjepan Jurisic and Malte Stonis and Peter Nyhuis",
year = "2022",
month = dec,
day = "1",
doi = "10.2195/lj_notrev_kutzner_de_202212_01",
language = "Deutsch",
volume = "2022",
number = "12",

}

Download

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 -