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Francesca Zerbato
Title
Ph.D.
Last Name
Zerbato
First name
Francesca
Email
francesca.zerbato@unisg.ch
Phone
+41 71 224 26 69
Now showing
1 - 10 of 14
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PublicationThe biggest business process management problems to solve before we die(Elsevier, 2023-01)
;Beerepoot, Iris ;Ciccio, Claudio Di ;Reijers, Hajo A. ;Rinderle-Ma, Stefanie ;Bandara, Wasana ;Burattin, Andrea ;Calvanese, Diego ;Chen, Tianwa ;Cohen, Izack ;Depaire, Benoît ;Federico, Gemma Di ;Dumas, Marlon ;van Dun, Christopher ;Fehrer, Tobias ;Fischer, Dominik A. ;Gal, Avigdor ;Indulska, Marta ;Isahagian, Vatche ;Klinkmüller, Christopher ;Kratsch, Wolfgang ;Leopold, Henrik ;Looy, Amy Van ;Lopez, Hugo ;Lukumbuzya, Sanja ;Mendling, Jan ;Meyers, Lara ;Moder, Linda ;Montali, Marco ;Muthusamy, Vinod ;Reichert, Manfred ;Rizk, Yara ;Rosemann, Michael ;Röglinger, Maximilian ;Sadiq, Shazia ;Slaats, Tijs ;Simkus, Mantas ;Someh, Ida Asadi ;Weber, Ingo ;Weske, MathiasIt may be tempting for researchers to stick to incremental extensions of their current work to plan future research activities. Yet there is also merit in realizing the grand challenges in one’s field. This paper presents an overview of the nine major research problems for the Business Process Management discipline. These challenges have been collected by an open call to the community, discussed and refined in a workshop setting, and described here in detail, including a motivation why these problems are worth investigating. This overview may serve the purpose of inspiring both novice and advanced scholars who are interested in the radical new ideas for the analysis, design, and management of work processes using information technology.Type: journal articleJournal: Computers in IndustryVolume: 146 -
PublicationWhat makes life for process mining analysts difficult? A reflection of challenges( 2023-11-17)Over the past few years, several software companies have emerged that offer process mining tools to assist enterprises in gaining insights into their process executions. However, the effective application of process mining technologies depends on analysts who need to be proficient in managing process mining projects and providing process insights and improvement opportunities. To contribute to a better understanding of the difficulties encountered by analysts and to pave the way for the development of enhanced and tailored support for them, this work reveals the challenges they perceive in practice. In particular, we identify 23 challenges based on interviews with 41 analysts, which we validate using a questionnaire survey. We provide insights into the relevancy of the process mining challenges and present mitigation strategies applied in practice to overcome them. While mitigation strategies exist, our findings imply the need for further research to provide support for analysts along all phases of process mining projects on the individual level, but also the technical, group, and organizational levels.Type: journal articleJournal: Software and Systems Modeling
Scopus© Citations 1 -
PublicationExploring how users engage with hybrid process artifacts based on declarative process models: a behavioral analysis based on eye-tracking and think-aloud(Springer, 2020)
;Abbad Andaloussi, Abbad ;Burratin, Andrea ;Slaats, Tijs ;Hildebrandt, ThomasType: journal articleJournal: Software and Systems ModelingScopus© Citations 13 -
PublicationType: conference paperVolume: 2028
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PublicationProMiSE: Process Mining Support for End-Users( 2023-07-06)
;Völzer, HagenCEUR Workshop ProceedingsIn the past decade, process mining has gained momentum in academia and the industry, as it supports organizations in deriving insights from event data recorded from process executions. The increasing adoption of process mining in practice entails supporting process analysts in their work. Indeed, their analysis includes many exploratory tasks that require them to rely on their experience to interpret the data and steer the analysis. This knowledge-intensive nature of process mining can be challenging for less experienced analysts and calls for methodological and operational guidance tailored to their needs. In this paper, we present ProMiSE, a project funded by the Swiss National Science Foundation that embraces this novel direction in process mining research. The first goal of the project is to improve our understanding of how analysts work in practice, i.e., the process of process mining. Then, methodological guidance and software-based support are developed to assist novice analysts during their analysis. The results obtained in the first two years of ProMiSE have helped to build a solid empirical basis on process mining, laying the foundation for the development of user-centered support, which we will realize in the coming years with the help of our project partners and international collaborators.Type: conference paperJournal: Proceedings of the Research Projects Exhibition Papers Presented at the 35th International Conference on Advanced Information Systems Engineering (CAiSE 2023) -
PublicationOn the Origin of Questions in Process Mining Projects(Springer, 2022-09)
;Koorn, Jelmer J. ;Beerepoot, IrisReijers, Hajo A.Type: conference paperVolume: 13585 -
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PublicationType: conference paperJournal: Enhancing Discovered Process Models with Data Object Lifecycles
Scopus© Citations 4 -
PublicationGranularity in Process Mining: Can We Fix It?( 2021-09)
;Di Federico, Gemma ;Burattin, AndreaProcess mining techniques rely on the availability of event logs, where events have a certain granularity that is deemed appropriate for representing business activities. In this paper, we discuss why choosing a proper granularity level during preprocessing can be challenging and reflect on the implications that such a “fixed” view over the process bears for the analysis. Then, inspired by use cases in the context of user behavior analysis, we envision possible solutions that allow exploring and mining multiple granularity levels of process activities.Type: conference paperJournal: CEUR Workshop ProceedingsVolume: 2938