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Barbara Weber
Title
Prof. Dr.
Last Name
Weber
First name
Barbara
Email
barbara.weber@unisg.ch
ORCID
Phone
+41 71 224 34 43
Homepage
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1 - 10 of 76
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PublicationProcess science: the interdisciplinary study of socio-technical change( 2024)
;Brocke, Jan vom ;van der Aalst, Wil M. P. ;Nicholas Berente ;Boudewijn Van Dongen ;Thomas Grisold ;Waldemar Kremser ;Jan Mendling ;Pentland, Brian T. ;Roeglinger, Maximilian ;Michael RosemannProcess science is the interdisciplinary study of socio-technical processes. Socio-technical processes involve coherent series of changes over time, entailing actions and events that include humans and digital technologies. The ubiquitous availability of digital trace data, combined with advanced data analytics capabilities, offer new and unprecedented opportunities to study such processes through multiple data sources. Process science is concerned with describing, explaining, and intervening in socio-technical change. It is based on four key principles; it (1) puts socio-technical processes at the center of attention, (2) investigates socio-technical processes scientifically, (3) embraces perspectives of multiple disciplines, and (4) aims to create impact by actively shaping the unfolding of socio-technical processes.Type: journal articleJournal: Process ScienceVolume: 2Issue: 1 -
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 -
PublicationDigital twins of organization: implications for organization design( 2023)
;Kalle Lyytinen ;Markus C. BeckerBrian T. PentlandThe recent rise of using digital representations for products and processes has created a movement to use ‘digital twins’ for organization design. We provide an overview of the notion of digital twin as a synchronized, real-time two-way interacting digital representation of the real-world phenomenon it is expected to replicate as a twin. The claim of a two-way causal connection between the real-world and the digital representation makes the current rhetoric about Digital Twins especially problematic. To grasp the challenges involved in Digital Twins of Organizations (DTO), we start from Digital Twins of Things (DTT) and Digital Twins of Business Processes (DTBP). We analyze and compare different kinds of digital twins using Peircean theory of semiotic relationships, which differentiate between signals, icons, and symbols. We posit that in order to fully model organizations as digital twins, an organization designer needs to model features of organizations that are not present in DTTs and DTBPs, such as agency, conflict, and emergence. Given the inevitable presence of symbolic phenomena, we speculate to what extent it is possible to move towards full DTOs, what characteristics broader DTOs need to have, and what benefits more extensive use of DTOs will offer for organization designers. We finally offer pointers towards a research agenda for DTOs that have the potential to improve organization designs and contribute to theory on organization design.Type: journal articleJournal: Journal of Organization DesignScopus© Citations 7 -
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 -
PublicationAn Interactive Method for Detection of Process Activity Executions from IoT Data( 2023-02)The increasing number of IoT devices equipped with sensors and actuators pervading every domain of everyday life allows for improved automated monitoring and analysis of processes executed in IoT-enabled environments. While sophisticated analysis methods exist to detect specific types of activities from low-level IoT data, a general approach for detecting activity executions that are part of more complex business processes does not exist. Moreover, dedicated information systems to orchestrate or monitor process executions are not available in typical IoT environments. As a consequence, the large corpus of existing process analysis and mining techniques to check and improve process executions cannot be applied. In this work, we develop an interactive method guiding the analysis of low-level IoT data with the goal of detecting higher-level process activity executions. The method is derived following the exploratory data analysis of an IoT data set from a smart factory. We propose analysis steps, sensor-actuator-activity patterns, and the novel concept of activity signatures that are applicable in many IoT domains. The method shows to be valuable for the early stages of IoT data analyses to build a ground truth based on domain knowledge and decisions of the process analyst, which can be used for automated activity detection in later stages.Type: journal articleJournal: Future InternetVolume: 15Issue: 2
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PublicationIntegrating process management and event processing in smart factories: A systems architecture and use casesThe developments of new concepts for an increased digitization of manufacturing industries in the context of Industry 4.0 have brought about novel system architectures and frameworks for smart production systems. These range from generic frameworks for Industry 4.0 to domain-specific architectures for Industrial Internet of Things (IIoT). While most of the approaches include a service-based architecture for selective integration with enterprise systems, a close two-way integration of the production control systems and IIoT sensors and actuators with Process-Aware Information Systems (PAIS) on the management level for automation and mining of production processes is rarely discussed. This fusion of Business Process Management (BPM) with IIoT can be mutually beneficial for both research areas, but is still in its infancy. We propose a systems architecture for IIoT that shows how to integrate the low-level hardware components–sensors and actuators–of a smart factory with BPM systems. We discuss the software components and their interactions to address challenges of device encapsulation, integration of sensor events, and interaction with existing BPM systems. This integration is demonstrated within several use cases regarding process modeling, automation and mining for a smart factory model, showing benefits of using BPM technologies to analyze, control, and adapt discrete production processes in IIoT.Type: journal articleJournal: Journal of Manufacturing SystemsVolume: 63
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PublicationType: journal articleJournal: Information SystemsVolume: 104
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PublicationDigital Twins of Organizations: A Socio-Technical View on Challenges and Opportunities for Future Research( 2022)
;Wurm, Bastian ;Becker, Markus C. ;Pentland, Brian T. ;Lyytinen, Kalle ;Grisold, Thomas ;Mendling, JanKremser, WaldemarType: journal articleJournal: Commun. Assoc. Inf. Syst.Volume: 52 -
PublicationFlexible runtime support of business processes under rolling planning horizons( 2021)
;Barba, Irene ;Jiménez-Ramírez, Andres ;Reichert, Manfred ;Del Valle, CarmeloType: journal articleJournal: Expert Systems with ApplicationsVolume: 177 -
PublicationProcess Science: The Interdisciplinary Study of Continuous Change( 2021-09-03)
;Brocke, Jan vom ;Aalst, Wil ;Grisold, Thomas ;Kremser, Waldemar ;Mendling, Jan ;Pentland, Brian ;Recker, Jan ;Roeglinger, Maximilian ;Rosemann, MichaelType: journal article