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Business Process Management Forum

Overview of attention for book
Cover of 'Business Process Management Forum'

Table of Contents

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    Book Overview
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    Chapter 1 Process Mining Crimes – A Threat to the Validity of Process Discovery Evaluations
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    Chapter 2 A Logical Formalization of Time-Critical Processes with Resources
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    Chapter 3 Business Process and Rule Integration Approaches - An Empirical Analysis
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    Chapter 4 Business Process Activity Relationships: Is There Anything Beyond Arrows?
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    Chapter 5 Enriched Modeling and Reasoning on Business Processes with Ontologies and Answer Set Programming
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    Chapter 6 Alarm-Based Prescriptive Process Monitoring
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    Chapter 7 iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes
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    Chapter 8 Storytelling Integration of the Internet of Things into Business Processes
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    Chapter 9 Leveraging Unstructured Data to Analyze Implicit Process Context
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    Chapter 10 Advanced Simulation of Resource Constructs in Business Process Models
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    Chapter 11 A Typology of Different Forms of Business Process Standardisation (BPS)
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    Chapter 12 How to Put Organizational Ambidexterity into Practice – Towards a Maturity Model
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    Chapter 13 A Data Governance Framework for Platform Ecosystem Process Management
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    Chapter 14 Designing a Process Mining-Enabled Decision Support System for Business Process Standardization in ERP Implementation Projects
Attention for Chapter 7: iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes
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Chapter title
iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes
Chapter number 7
Book title
Business Process Management Forum
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-319-98651-7_7
Book ISBNs
978-3-31-998650-0, 978-3-31-998651-7
Authors

Amin Beheshti, Francesco Schiliro, Samira Ghodratnama, Farhad Amouzgar, Boualem Benatallah, Jian Yang, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad, Beheshti, Amin, Schiliro, Francesco, Ghodratnama, Samira, Amouzgar, Farhad, Benatallah, Boualem, Yang, Jian, Sheng, Quan Z., Casati, Fabio, Motahari-Nezhad, Hamid Reza

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Doctoral Student 4 13%
Student > Master 4 13%
Student > Ph. D. Student 3 10%
Student > Bachelor 2 6%
Other 5 16%
Unknown 9 29%
Readers by discipline Count As %
Computer Science 10 32%
Engineering 4 13%
Business, Management and Accounting 3 10%
Social Sciences 2 6%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 10 32%

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