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2019 | OriginalPaper | Chapter

Value-Driven Robotic Process Automation (RPA)

A Process-Led Approach to Fast Results at Minimal Risk

Authors : Mathias Kirchmer, Peter Franz

Published in: Business Modeling and Software Design

Publisher: Springer International Publishing

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Abstract

Digitalization has transformed the way organizations operate. New digital tools are available with increasing regularity – and many of them have the potential for a major impact. They enable the transformation of business processes to become more efficient, agile, meet compliance requirements, enhance customer experience or improve the general quality of deliverables. They may help achieve a level of process performance not previously envisaged. Robotic Process Automation (RPA) is one of those digital enablers which has been applied, or at least discussed in many organizations as practice reports and conference presentations show. This process technology is becoming a mainstream trend, relevant for many businesses. However, many organizations struggle to realize the full potential of RPA. According to newer statistics even 30–50% of RPA initiatives fail completely. The paper discusses opportunities and challenges of applying RPA as process improvement approach. The approach of Value-driven Robotic Process Automation addresses the challenges and realized the identified opportunities. It proposes an approach that helps to focus on the right sub-processes to automate, improve those business processes considering the end-to-end process context and sustain the results through appropriate governance and hybrid workforce management. Agile principles are combined with the required focus and direction. Value-driven RPA is a part of a discipline of process-led digital transformation management, leveraging the capabilities of business process management (BPM) to realize the full value of digital initiatives, fast and at minimal risk.

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Metadata
Title
Value-Driven Robotic Process Automation (RPA)
Authors
Mathias Kirchmer
Peter Franz
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-24854-3_3

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