Identification of Business Process Models in a Digital World

Peter Loos (), Peter Fettke (), Jürgen Walter (), Tom Thaler () and Peyman Ardalani ()
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Peter Loos: German Research Center for Artificial Intelligence (DFKI), Saarland University
Peter Fettke: German Research Center for Artificial Intelligence (DFKI), Saarland University
Jürgen Walter: German Research Center for Artificial Intelligence (DFKI), Saarland University
Tom Thaler: German Research Center for Artificial Intelligence (DFKI), Saarland University
Peyman Ardalani: German Research Center for Artificial Intelligence (DFKI), Saarland University

A chapter in BPM - Driving Innovation in a Digital World, 2015, pp 155-174 from Springer

Abstract: Abstract Traditionally, business processes are designed using a top down approach. While in top down approaches real process experiences can only be considered in an indirect way, process experiences can be the core input for process model designs using a more innovative bottom up approach with inductive methods, e.g. process mining technologies. The paper introduces a comprehensive seven phases method for inductive reference modelling. Some of the relevant particular techniques in this context are presented. Finally, the vision of the IWi Process Model Corpus is presented. This corpus can serve as a basis for developing and evaluating methods and techniques in the area of inductive reference modelling and currently covers 2,290 single models.

Keywords: Business Process; Reference Model; Application Scenario; Business Process Model; Inductive Strategy (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-319-14430-6_11

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DOI: 10.1007/978-3-319-14430-6_11

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