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Business Information Systems and Technology 4.0

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Cover of 'Business Information Systems and Technology 4.0'

Table of Contents

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    Book Overview
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    Chapter 1 Digitalization: Yesterday, Today and Tomorrow
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    Chapter 2 ERP Systems Towards Digital Transformation
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    Chapter 3 Determining Information Relevance Based on Personalization Techniques to Meet Specific User Needs
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    Chapter 4 Case-Based Reasoning for Process Experience
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    Chapter 5 Road to Agile Requirements Engineering: Lessons Learned from a Web App Project
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    Chapter 6 E-Business in the Era of Digital Transformation
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    Chapter 7 Digitalizing B2B Business Processes—The Learnings from E-Invoicing
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    Chapter 8 Marketing Automation
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    Chapter 9 FHNW Maturity Models for Cloud and Enterprise IT
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    Chapter 10 Digital Transformation Management and Digital Business Development
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    Chapter 11 Using Feedback Systems Thinking to Explore Theories of Digital Business for Medtech Companies
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    Chapter 12 Ontology-Based Metamodeling
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    Chapter 13 Searching and Browsing in Historical Documents—State of the Art and Novel Approaches for Template-Based Keyword Spotting
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    Chapter 14 How to Teach Blockchain in a Business School
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    Chapter 15 Computational Intelligence in Modelling, Simulation, Optimization, and Control
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    Chapter 16 Innovation Potential for Human Computer Interaction Domains in the Digital Enterprise
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    Chapter 17 Prototype-Based Research on Immersive Virtual Reality and on Self-Replicating Robots
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    Chapter 18 Co-robots from an Ethical Perspective
Attention for Chapter 4: Case-Based Reasoning for Process Experience
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Readers on

12 Mendeley
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Chapter title
Case-Based Reasoning for Process Experience
Chapter number 4
Book title
Business Information Systems and Technology 4.0
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-74322-6_4
Book ISBNs
978-3-31-974321-9, 978-3-31-974322-6

Andreas Martin, Knut Hinkelmann

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Researcher 3 25%
Student > Ph. D. Student 2 17%
Professor > Associate Professor 1 8%
Unspecified 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 7 58%
Business, Management and Accounting 2 17%
Unspecified 1 8%
Engineering 1 8%
Unknown 1 8%