Managing dynamic business processes : a process mining perspective on workloads and knowledge-intensive processes / Bernd Löhr ; Gutachter Prof. Dr. Daniel Beverungen, Prof. Dr. Ralf Plattfaut. Paderborn, 2026
Inhalt
- Foreword
- Acknowledgements
- List of Figures
- List of Tables
- Part A
- Introduction
- RO1: Process Mining Competencies
- Background and Motivation
- Improving Process Mining Maturity: From Intentions to Actions
- Research Problem and Research Objectives
- Maximizing the Impact of Process Mining Research: Four Strategic Guidelines
- Structure of the Dissertation
- Understanding the Dynamics of a Process Mining Project - Analyzing Log Data of a Process Mining Platform
- Theoretical Foundations
- RO2: Process Mining of Knowledge-Intensive Processes
- Design Principles for Process Mining of Knowledge-Intensive Processes: An Action Design Research Study
- Continuous Change in Business Processes
- Knowledge Intensive Processes as Intended Dynamic Behavior
- Workarounds as Unintended Dynamic Behavior
- Process Mining and its Application on Dynamic Processes
- Foundations of Process Mining
- Process Mining of Knowledge-Intensive Processes
- Data-driven Identification of Workarounds with Process Mining
- Process Science
- Research Design
- RO3: Process Mining of Workarounds
- Design Science Research Paradigm
- Forging the LongSWORD: Exaptation and Enhancement of the SWORD Framework for Workaround Detection
- Maturity Model Development
- Drafting the ChainSWORD – Towards Identifying Workaround Chains with Object-Centric Process Mining
- Case Studies
- Workarounds as a Cause of Mismatches in Business Processes—Insights from a Multiple Case Study
- Systematic Literature Review
- Applied Research Process
- Research Results
- RO4: Management and Evaluation of Workarounds
- Part B
- References