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Robotic Process Automation

Title data

Hofmann, Peter ; Samp, Caroline ; Urbach, Nils:
Robotic Process Automation.
In: Electronic Markets. (2019) .
ISSN 1422-8890

Official URL: Volltext

Abstract in another language

Within digital transformation, which is continuously progressing, robotic process automation (RPA) is drawing much corporate attention. While RPA is a popular topic in the corporate world, the academic research lacks a theoretical and synoptic analysis of RPA. Conducting a literature review and tool analysis, we propose – in a holistic and structured way – four traits that characterize RPA, providing orientation as well as a focus for further research. Software robots automate processes originally performed by human work. Thus, software robots follow a choreography of technological modules and control flow operators while operating within IT ecosystems and using established applications. Ease-of-use and adaptability allow companies to conceive and implement software robots through (agile) projects. Organizational and IT strategy, governance structures, and management systems therefore must address both the direct effects of software robots automating processes and their indirect impacts on firms.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Robotic Process Automation; Business Process Automation; Software Robots; IS Ecosystems; Back-Office; RPA
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and strategic IT management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and strategic IT management > Professorship Business Informations Systems and strategic IT management - Univ.-Prof. Dr. Nils Urbach
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 20 Aug 2019 09:36
Last Modified: 20 Aug 2019 09:36
URI: https://eref.uni-bayreuth.de/id/eprint/51931