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Business & Information Systems Engineering
Published in: Business & Information Systems Engineering 2/2020

27-01-2020 | Call for Papers

Call for Papers, Issue 5/2021

Process Mining at the Enterprise Level

Authors: Jan vom Brocke, Mieke Jans, Jan Mendling, Hajo A. Reijers

Published in: Business & Information Systems Engineering | Issue 2/2020

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Excerpt

Process Mining is a novel technology that helps enterprises to better understand their business processes. Over the last 20 years, there has been intensive research into various process mining techniques. These techniques support the automatic discovery of business process models from event log data, the checking of conformance between specified and observed behavior, the identification of various variants of a business process, non-compliant behavior, performance-relevant insights, and so forth. …
previous article Digital Twin: Empowering Enterprises Towards a System-of-Systems Approach

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Literature
Aguirre S, Parra C, Sepúlveda M (2017) Methodological proposal for process mining projects. Int J Bus Process Integr Manag 8(2):102–113CrossRef
Augusto A, Conforti R, Dumas M, La Rosa M, Maggi FM, Marrella A, Mecella M, Soo A (2019) Automated discovery of process models from event logs: review and benchmark. IEEE Trans Knowl Data Eng 31(4):686–705CrossRef
Dumas M, La Rosa M, Mendling J, Reijers HA (2018) Fundamentals of business process management, 2nd edn. Springer, HeidelbergCrossRef
Fernández-Llatas C, Lizondo A, Monton E, Benedí J-M, Traver V (2015) Process mining methodology for health process tracking using real-time indoor location systems. Sensors 15(12):29821–29840CrossRef
Grisold T, Wurm B, Mendling J, vom Brocke J (2020) Using process mining to support theorizing about change in organizations. In: Proceedings HICSS 2020
Jans M, Alles MG, Vasarhelyi MA (2014) A field study on the use of process mining of event logs as an analytical procedure in auditing. Account Rev 89(5):1751–1773CrossRef
Kerremans M (2019) Market guide for process mining. Gartner Report
Mans R, Reijers HA, Berends H, Bandara W, Prince R (2013) Business process mining success. In: Proceedings ECIS 2013, pp 89 ff
Maruster L, van Beest NRTP (2009) Redesigning business processes: a methodology based on simulation and process mining techniques. Knowl Inf Syst 21(3):267–297CrossRef
Rebuge A, Ferreira DR (2012) Business process analysis in healthcare environments: a methodology based on process mining. Inf Syst 37(2):99–116CrossRef
van der Aalst WMP (2016) Process mining—data science in action, 2nd edn. Springer, HeidelbergCrossRef
van der Aalst WMP, Reijers HA, Weijters AJMM, van Dongen BF, Alves de Medeiros AK, Song M, Verbeek HMW (2007) Business process mining: an industrial application. Inf Syst 32(5):713–732CrossRef
van Eck ML, Lu X, Leemans SJJ, van der Aalst WMP (2015) PM2: a process mining project methodology. In: Proceedings CAiSE 2015, pp 297–313
vom Brocke J, Mendling J (2018) Business process management cases, digital innovation and business transformation in practice. Springer, HeidelbergCrossRef
Metadata
Title
Call for Papers, Issue 5/2021
Process Mining at the Enterprise Level
Authors
Jan vom Brocke
Mieke Jans
Jan Mendling
Hajo A. Reijers
Publication date
27-01-2020
Publisher
Springer Fachmedien Wiesbaden
Published in
Business & Information Systems Engineering / Issue 2/2020
Print ISSN: 2363-7005
Electronic ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-020-00630-7

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