Digitale Infrastrukturen in der Demokratie

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Auflistung Digitale Infrastrukturen in der Demokratie nach Forschungsgruppen "Sicherheit und Transparenz digitaler Prozesse (HU)"

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    Enhancing decision-making of IT demand management with process mining
    (2023) Novak, Christian; Pfahlsberger, Lukas; Bala, Saimir; Revoredo, Kate; Mendling, Jan
    Purpose Digitalization, innovation and changing customer requirements drive the continuous improvement of an organization's business processes. IT demand management (ITDM) as a methodology supports the holistic governance of IT and the corresponding business process change (BPC), by allocating resources to meet a company's requirements and strategic objectives. As ITDM decision-makers are not fully aware of how the as-is business processes operate and interact, making informed decisions that positively impact the to-be process is a key challenge. Design/methodology/approach In this paper, the authors address this challenge by developing a novel approach that integrates process mining and ITDM. To this end, the authors conduct an action research study where the researchers participated in the design, creation and evaluation of the approach. The proposed approach is illustrated using two sample demands of an insurance claims process. These demands are used to construct the artefact in multiple research circles and to validate the approach in practice. The authors applied learning and reflection methods for incrementally adjusting this study’s approach. Findings The study shows that the utilization of process mining activities during process changes on an operational level contributes to (1) increasing accuracy and efficiency of ITDM; (2) timely identification of potential risks and dependencies and (3) support of testing and acceptance of IT demands. Originality/value The implementation of this study’s approach improved ITDM practice. It appropriately addressed the information needs of decision-makers and unveiled the effects and consequences of process changes. Furthermore, providing a clearer picture of the process dependencies clarified the responsibilities and the interfaces at the intra- and inter-process level.
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    Generating impactful situated explanations through digital trace data
    (2024) Grisold, Thomas; Kremser, Waldemar; Mendling, Jan; Recker, Jan; Vom Brocke, Jan; Wurm, Bastian
    Progressively, information systems (IS) researchers draw on digital trace data to capture the emergent dynamics of today’s digitalized world. Digital trace data enable researchers to generate highly context-specific insights into the features and dynamics of socio-technical phenomena. We suggest how IS researchers can use digital trace data to develop situated explanations, that is, explanations that capture the idiosyncratic features of real-world problems in order to generate impactful solutions to these problems. We outline five key principles to build situated explanations based on digital trace data. We make several suggestions on how the information system field can adjust its research and publication practices to embrace the development and dissemination of situated explanations.
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    Idea generation in exploitative and explorative business process redesign techniques
    (2024) Groß, Steven; Grisold, Thomas; Mendling, Jan; Haase, Jennifer
    Business process redesign has received considerable attention in research and practice. An important task contributing to redesign is idea generation. It has been argued that the choice of technique influences redesign outcomes, but empirical evidence is largely missing. In this paper, we examine the role of idea generation in business process redesign by comparing two different kinds of techniques: exploitative and explorative redesign techniques. Often, exploitative techniques are expected to yield more appropriate solutions, while explorative techniques are associated with more creative outcomes. To investigate such propositions, we consider the Best Practices of Process Redesign as an example of an exploitative redesign technique and the Business Process Design Space as an explorative redesign technique. We conducted a free-simulation experiment to study the empirical impact of the choice of redesign techniques on outcomes. We find that the Business Process Design Space leads to a higher number of redesign ideas, which are also more diverse. These are more creative and novel than ideas produced by the Best Practices of Process Redesign. Against expectation, the best practices as an exploitative approach do not produce more appropriate nor impactful ideas in our task design. Since both approaches cover different areas of improvement, a key implication of our work is that they should not be seen as isolated approaches to redesign; rather, they should be purposefully combined to not only create novel but also operational business process redesigns.
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    Keeping pace with the digital age: Envisioning information systems research as a platform
    (2023) Grisold, Thomas; Kremser, Waldemar; Mendling, Jan; Recker, Jan; Brocke, Jan Vom; Wurm, Bastian
    In this paper, we respond to Grover and Lyytinen (2022). We agree with them that the advent of the digital age is calling for a reconsideration of the role of theory and theorizing. We also think their proposal does not go far enough. The time is ripe to question the role of theory in our field more fundamentally. We propose to instead focus on establishing IS research as a platform through which we can collect, organize, and provide access to digital trace data from various sources to analyze contemporary socio-technical phenomena. We believe that such a move allows us to more fully unleash the unique socio-technical competences of our field in the digital age.
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    On Managing Large Collections of Scientific Workflows
    (Gesellschaft für Informatik eV, 2024) Elfaramawy, Nourhan; Deniz, Fatma; Grunske, Lars; Hilbrich, Marcus; Kehrer, Timo; Lamprecht, Anna-Lena; Mendling, Jan; Rosenthal, Kristina; Giese, Holger
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    Power to All or Few People? An Exploration of Power Dynamics in Holacracy
    (2024) Wurm, Bastian; Mendling, Jan; Minaar, Reinald; Strauss, Erik
    Power is key to all organizing. It allows actors to perform actions, make decisions and assign tasks to others. In bureaucratic organizations power is mainly associated with the position that the actor holds. Because actors compete for power, change their position within an organization or leave an organization, power is dynamically changing. We refer to these changes in power as power dynamics. Many New Forms of Organizing, such as Holacracy, claim that individuals have more decision-making capacity, i.e., that power is more equally distributed within the organization. In this paper, we use a unique dataset from a holacratic organization to empirically examine how power dynamics in Holacracy evolve over time. In particular, we use temporal network analysis to reconstruct and contrast two related networks that capture information on how decisions in Holacracy are made. Our findings indicate that also in Holacracy power is not equally distributed, but that few individuals hold most power.
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    Process science: the interdisciplinary study of socio-technical change
    (2024) Brocke, Jan vom; van der Aalst, Wil M. P.; Berente, Nicholas; van Dongen, Boudewijn; Grisold, Thomas; Kremser, Waldemar; Mendling, Jan; Pentland, Brian T.; Roeglinger, Maximilian; Rosemann, Michael; Weber, Barbara
    Process 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.
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    Spillover Effects in Creative Thinking: The Impact of Gaming and Mathematics on Creativity and Emotions
    (2024) Haase, Jennifer; Hanel, Paul H. P.
    As automation advances and markets transform, creative skills are becoming increasingly important. In the present study (N = 813), we therefore investigate how creative performance can be enhanced. Participants either participated in a fun recreational game, a fun-focused game, a math task, or none (control condition). This allowed us to analyze the impact of tasks that elicit positive emotions due to their fun nature and more stressful tasks, such as math, on later creative task performance. Contrary to our predictions, prior engagement in joyful or arithmetic tasks did not notably affect creativity, indicating a multifaceted relation among task categories, creativity metrics, and task-switching. Exploratory analyses revealed that fluency, but not originality and convergent thinking, was positively associated with creative self-efficacy and growth mind-set and negatively with fixed mind-set. The sequence in which divergent and convergent thinking tasks were presented affected originality but not fluency. In summary, our research underlines the intricacies of task categories, individual differences, and creative performance. Implications for creative enhancement methods across diverse contexts are discussed
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    Uncertain futures of work: The perception of generative AI in knowledge professions
    (Nomos, 2025) Butollo, Florian; Haase, Jennifer; Katzinski, Ann-Kathrin; Krüger, Anne K.; Kox, Thomas; Ullrich, André; Zech, Herbert
    The application of generative AI (GenAI) tools has led to widespread speculation about the implications of technological change for the future of cognitive work. This article provides insights on how the use of GenAI affects work practices in the fields of IT programming, science and coaching based on expert interviews and a quantitative survey among users of GenAI. Specifically, we ask about perceptions on skills, creativity, and authenticity, which we regard as key qualities of cognitive work. Contrary to widespread expectations that AI use would hollow out or substitute aspects of cognitive work, we find that there is a strong awareness for the meaning of the professional core in each field. We conclude that the use of AI provokes reflections about the meaning of human work in operating AI tools adequately and taking on responsibility for their results, thereby rather reinforcing its relevance.
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    Using Digital Longitudinal Health Care Data to Improve Health Care Quality
    (Berlin Universities Publishing, 2024) Herrmann, Wolfram J.; Napierala, Hendrik; Henschke, Cornelia; Mendling, Jan