Doctoral Candidates
IT Availability Risks in Smart Factory Networks : Analyzing the Effects of IT Threats on Production Processes Using Petri Netsin: Information Systems Frontiers, 2022 | Berger, Stephanvan Dun, ChristopherHäckel, Björn | |
Data-Driven Business Process Management: Advancing Process Data Quality and Process Improvement2022 | van Dun, Christopher | |
Towards Interactive Event Log Forensics : Detecting and Quantifying Timestamp Imperfectionsin: Information Systems, 2022 | Fischer, Dominik AndreasGoel, KanikaAndrews, Robertvan Dun, ChristopherWynn, Moe T.Röglinger, Maximilian | |
Automated Process (Re-)Designin: CEUR Workshop Proceedings, 2021 | Röglinger, Maximilianvan Dun, ChristopherFehrer, TobiasFischer, Dominik AndreasModer, LindaKratsch, Wolfgang | |
Becoming a Data-Driven Company : How medi Has Laid the Foundations: Prerequisites for Developing a Data Strategyin: Urbach, Nils: Digitalization Cases Vol. 2, Springer International Publishing, Basel, 2021 | Buck, Christophvan Dun, ChristopherHuber, RoccoJöhnk, JanBirkel, Markus | |
A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgmentin: Business & Information Systems Engineering, 2021 | Afflerbach, Patrickvan Dun, ChristopherGimpel, HennerParak, DominikSeyfried, Johannes | |
Using Blockchain to Coordinate Federal Processes : The Case of Germany's Federal Office for Migration and Refugeesin: Urbach, Nils: Digitalization Cases. Vol. 2. Mastering Digital Transformation for Global Business, Springer, Cham, 2021 | Amend, Juliavan Dun, ChristopherFridgen, GilbertKöhler, FranziskaRieger, AlexanderStohr, AlexanderWenninger, Annette | |
Enhancing Event Log Quality : Detecting and Quantifying Timestamp Imperfectionsin: Fahland, Dirk: Business Process Management : 18th International Conference BPM 2020 : Proceedings, Springer, Cham, 2020 | Fischer, Dominik AndreasGoel, KanikaAndrews, Robertvan Dun, ChristopherWynn, Moe T.Röglinger, Maximilian | |
Customers Like It Hot and Fast : Incorporating Customer Effects into the Meal Delivery Processin: Proceedings of the 28th European Conference on Information Systems (ECIS), Marrakech, Morocco, 2020 | van Dun, ChristopherFehrer, TobiasKratsch, WolfgangWolf, Nicholas | |
Quality-Informed Semi-Automated Event Log Generation for Process Miningin: Decision Support Systems, 2020 | Andrews, Robertvan Dun, ChristopherWynn, Moe T.Kratsch, WolfgangRöglinger, Maximilianter Hofstede, Arthur H. M. |
Christopher Van Dun
Curriculum Vitae
Christopher van Dun completed his Abitur at the Franz-Ludwig-Gymnasium in Bamberg, Bavaria, in 2011. He finished his Bachelor’s degree in Computer Science at the University of Erlangen-Nuremberg in 2015. Afterwards, he continued his studies with a Master’s degree in Finance & Information Management at the universities of Augsburg, Munich and Bayreuth which he completed in 2018. Mr van Dun completed parts of his studies abroad, in Canada and Australia. He gathered practical experience in internships at KPMG (IT consulting) as well as at A.T. Kearney (management consulting) and at Tür an Tür – Digital Factory gGmbH. He started as a research assistant at the Research Center Finance & Information Management in January 2016. Since August 2018, he is employed as Doctoral Candidate.
Main Research
In his research, Christopher van Dun deals with topics in data-driven business process management in general and with process mining in particular.
Publications
Wittelsbacherring 10 3.15
Bayreuth 95444
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