Process Mining for Business Process Improvement
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 440
Special Issue Editors
Interests: business process management; process innovation; digital technology; process mining
Interests: IT governance; IT governance mechanisms; IT service management; business process management; process automation; digital transformation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Process mining has matured significantly in the past decade and is now being used extensively in academia and industry. With its beginnings in process discovery, process mining has grown to be used for performance analysis, conformance checking, variant analysis, concept drift, as well as predictive and prescriptive monitoring. However, the main objective of all kinds of process analysis is to improve business processes.
The aim of this Special Issue is to seek high-quality submissions that specifically focus on using process mining for business process improvement. The scope includes, but is not restricted to, model-driven methods (using event logs to identify patterns where improvements can be made); process mining frameworks or approaches (the development and validation of process mining methods that structure up and systematize the identification of improvement opportunities); case-based approaches (the elicitation of patterns and rules from a set of actual case studies where process mining has been used to improve business processes); or approaches that, based on event logs, consider business process modelling, heuristics, robotic process automation, or intelligent process automation for improving business processes.
Dr. Fredrik Payman Milani
Dr. Rúben Pereira
Guest Editors
Manuscript Submission Information
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Keywords
- process mining
- business process improvement
- business process redesign
- process automation
- digital transformation
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