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Business Process Management: Blockchain and Robotic Process Automation Forum

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Cover of 'Business Process Management: Blockchain and Robotic Process Automation Forum'

Table of Contents

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    Book Overview
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    Chapter 1 Silver Bullet for All Trust Issues? Blockchain-Based Trust Patterns for Collaborative Business Processes
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    Chapter 2 Blockchain Oracles: A Framework for Blockchain-Based Applications
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    Chapter 3 Foundational Oracle Patterns: Connecting Blockchain to the Off-Chain World
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    Chapter 4 The Role of Modeling in Blockchain Process Design
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    Chapter 5 External Data Monitoring Using Oracles in Blockchain-Based Process Execution
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    Chapter 6 A Conversational Digital Assistant for Intelligent Process Automation
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    Chapter 7 Is Robotic Process Automation Becoming Intelligent? Early Evidence of Influences of Artificial Intelligence on Robotic Process Automation
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    Chapter 8 Automated Generation of Executable RPA Scripts from User Interface Logs
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    Chapter 9 Integrating Robotic Process Automation into Business Process Management
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    Chapter 10 How to Trust a Bot: An RPA User Perspective
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    Chapter 11 Towards a Taxonomy of Cognitive RPA Components
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    Chapter 12 Towards an OpenSource Logger for the Analysis of RPA Projects
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    Chapter 13 Beyond the Hype: RPA Horizon for Robot-Human Interaction
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    Chapter 14 A Framework to Evaluate the Viability of Robotic Process Automation for Business Process Activities
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    Chapter 15 From Robotic Process Automation to Intelligent Process Automation
Attention for Chapter 4: The Role of Modeling in Blockchain Process Design
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Citations

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Readers on

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13 Mendeley
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Chapter title
The Role of Modeling in Blockchain Process Design
Chapter number 4
Book title
Business Process Management: Blockchain and Robotic Process Automation Forum
Published by
Springer, Cham, September 2020
DOI 10.1007/978-3-030-58779-6_4
Book ISBNs
978-3-03-058778-9, 978-3-03-058779-6
Authors

Ruben Post, Stijn Kas, Koen Smit, Post, Ruben, Kas, Stijn, Smit, Koen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Researcher 3 23%
Student > Bachelor 1 8%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 6 46%
Business, Management and Accounting 3 23%
Social Sciences 1 8%
Engineering 1 8%
Unknown 2 15%