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

Christian Czarnecki, Hochschule Hamm-Lippstadt; Peter Fettke, Uni Saarland, DFKI.

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

eBook

Published: May 10, 2021
ISBN: 9783110676693

Paperback

Published: May 24, 2021
ISBN: 9783110676686