Robotic Process Automation

Published by De Gruyter Oldenbourg 2021

Robotic Process Automation

Management, Technology, Applications

Edited by: Christian Czarnecki and Peter Fettke

In the series De Gruyter STEM

https://doi.org/10.1515/9783110676693

Overview
Contents

About this book

This book brings together experts from research and practice. It includes the design of innovative Robot Process Automation (RPA) concepts, the discussion of related research fields (e.g., Artificial Intelligence, AI), the evaluation of existing software products, and findings from real-life implementation projects.

Similar to the substitution of physical work in manufacturing (blue collar automation), Robotic Process Automation tries to substitute intellectual work in office and administration processes with software robots (white-collar automation). The starting point for the development of RPA was the observation that – despite the use of process-oriented enterprise systems (such as ERP, CRM and BPM systems) – additional manual activities are still indispensable today. In the RPA approach, these manual activities are learned and automated by software robots, either by defining rules or by observing manual activities.

RPA is related to business process management, machine learning, and artificial intelligence. Tools for RPA originated from dedicated stand-alone software. Today, RPA functionalities are also integrated into elaborated process management suites. From a conceptual perspective, RPA can be structured into input components (sensors in the wide sense), an intelligence center, and output components (actuators in the wide sense). From a strategic perspective, the impact of RPA can be related to the support of existing tasks, the complete substitution of human activities, and the innovation of processes as well as business models.

At present, high expectations are related to the use of RPA in the improvement of software-supported business processes. Manual activities are learned and automated by software robots that interact with existing applications via the presentation layer. In combination with artificial intelligence (AI) as well as innovative interfaces (e. g., voice recognition) RPA creates a novel level of automation for office and administration processes. Its benefit potential reaches a return on investment (ROI) up-to 800% that is documented in various case studies.

Artificial Intelligence for software-based business
Autorship coming from academia and industry

Author information

Prof. Dr.-Ing. Christian Czarnecki studierte Wirtschaftsinformatik an der Westfälischen Wilhelms-Universität in Münster. Von 2006 bis 2015 leitete er bei der Detecon International GmbH in Köln eine Vielzahl nationaler und internationaler Projekte im Umfeld der Telekommunikationsbranche. Neben seiner Tätigkeit als Unternehmensberater promovierte er an der Otto-von-Guericke-Universität Magdeburg. Anfang 2015 übernahm er die Professur "Wirtschaftsinformatik und Informationssysteme" an der Hochschule für Telekommunikation Leipzig. Seit März 2019 bringt Prof. Dr.-Ing. Christian Czarnecki seine Expertise in der Professur "Wirtschaftsinformatik" an der Hochschule Hamm-Lippstadt ein.
Er ist Autor zahlreicher wissenschaftlicher Publikationen und kann auf eine Vielzahl von Vorträgen bei Tagungen und Konferenzen verweisen. Prof. Dr.-Ing. Christian Czarnecki ist weiterhin als Mitglied internationaler Organisationen sowie als Gutachter für namhafte nationale und internationale Konferenzen und Zeitschriften tätig. Seine Forschungsschwerpunkte umfassen u. a. die Digitale Transformation, innovative Geschäftsmodelle, Prozessmanagement sowie Unternehmensarchitekturen.

Prof. Dr. Peter Fettke is Professor of Business Informatics at the University of Saarland and Principal Researcher, Research Fellow and Research Group Leader at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken. In his research, Professor Fettke and his 30-strong research group focus on the interface between the topics of process management and artificial intelligence (AI). In addition to researching the potential applications of AI technologies such as deep learning and process mining in an operational context, researching the impact of digitalization on business model innovation and modeling of business operations are also key areas of his work. Professor Fettke is the author of more than 100 specialist publications. His works are among the most cited articles in leading international journals on business informatics and he is one of the top 10 most cited scientists at the DFKI. He is also a much sought-after consultant of prestigious conferences, journals and research organizations.

Topics

Frontmatter Publicly Available Download PDF	I
Preface Publicly Available Download PDF	V
Contents Publicly Available Download PDF	VII
Editors Publicly Available Download PDF	XI
Authors Publicly Available Download PDF	XIII
Part I: Introduction
1 Robotic process automation Positioning, structuring, and framing the work Christian Czarnecki and Peter Fettke Requires Authentication Unlicensed Licensed Download PDF	3
Part II: RPA management
2 Managing RPA implementation projects A framework applied at SYSTHEMIS AG Lukas-Valentin Herm, Christian Janiesch, Theresa Steinbach and Daniel Wüllner Requires Authentication Unlicensed Licensed Download PDF	27
3 Finding the perfect RPA match A criteria-based selection method for RPA solutions Frank Bensberg, Gunnar Auth and Christian Czarnecki Requires Authentication Unlicensed Licensed Download PDF	47
4 Process selection for RPA projects A holistic approach Adrian Hofmann, Tobias Prätori, Franz Seubert, Jonas Wanner, Marcus Fischer and Axel Winkelmann Requires Authentication Unlicensed Licensed Download PDF	77
5 Selecting processes for RPA A study of relevant key process indicators in the finance industry Stefan Rechberger and Stefan Oppl Requires Authentication Unlicensed Licensed Download PDF	91
6 Transforming and recombining routines to scale the implementation of software robots Corinna Rutschi and Jens Dibbern Requires Authentication Unlicensed Licensed Download PDF	111
7 Liability for loss or damages caused by RPA Philipp Croon and Christian Czarnecki Requires Authentication Unlicensed Licensed Download PDF	135
Part III: RPA technology
8 Towards end-to-end business process automation RPA composition and orchestration Yara Rizk, Tathagata Chakraborti, Vatche Isahagian and Yasaman Khazaeni Requires Authentication Unlicensed Licensed Download PDF	155
9 Human–computer interaction analysis for RPA support Framework and new horizons Andrés Jiménez Ramírez, Hajo A. Reijers and José González Enríquez Requires Authentication Unlicensed Licensed Download PDF	169
10 Supporting RPA through natural language processing Han van der Aa and Henrik Leopold Requires Authentication Unlicensed Licensed Download PDF	187
11 Automated segmentation of user interface logs Simone Agostinelli, Andrea Marrella and Massimo Mecella Requires Authentication Unlicensed Licensed Download PDF	201
12 Process mining and RPA How to pick your automation battles? Wil M. P. van der Aalst Requires Authentication Unlicensed Licensed Download PDF	223
Part IV: RPA applications
13 RPA in accounting Christian Langmann and Julia Kokina Requires Authentication Unlicensed Licensed Download PDF	243
14 RPA for the financial industry Particular challenges and outstanding suitability combined Mario Richard Smeets, Ralf Jürgen Ostendorf and Peter Gordon Rötzel Requires Authentication Unlicensed Licensed Download PDF	263
15 RPA for public administration enhancement Oliver Gutermuth, Constantin Houy and Peter Fettke Requires Authentication Unlicensed Licensed Download PDF	285
16 Applications of RPA in manufacturing Peter Pfeiffer and Peter Fettke Requires Authentication Unlicensed Licensed Download PDF	315
Part V: RPA practice
17 AI evolves IA A practitioner view on artificial intelligence information architecture Eldar Sultanow, Alina Chircu, René Plath, Daniel Friedmann, Tim Merscheid and Kalpesh Sharma Requires Authentication Unlicensed Licensed Download PDF	349
18 The broad use of RPA based on three practical cases Adina Stenzel, Konstantin Ritschel and Christoph Stummer Requires Authentication Unlicensed Licensed Download PDF	377
19 Digitization applied to automate freight paper processing How EgeTrans Internationale Spedition GmbH achieves end-to-end automation by an integrated application of RPA and OCR Andreas Kronz and Thomas Thiel Requires Authentication Unlicensed Licensed Download PDF	393
Index Requires Authentication Unlicensed Licensed Download PDF	403

(Deutsch)

Language: English
Publisher: De Gruyter Oldenbourg
Audience: Researchers and practitioners in related fields (beginners and advanced); postgraduate students.
Pages
- Front matter: 24
- Main content: 406
Illustrations
- Illustrations: 50
Keywords: Automation; Robotics; Artificial Intelligence; Machine Learning

eBook

Published: May 10, 2021
ISBN: 9783110676693

Paperback

Published: May 10, 2021
ISBN: 9783110676686