@inproceedings{Grum2024, author = {Grum, Marcus}, title = {Managing multi-site artificial neural networks' activation rates and activation cycles}, series = {Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1-3, 2024, proceedings}, booktitle = {Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1-3, 2024, proceedings}, editor = {Shishkov, Boris}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-64072-8}, doi = {10.1007/978-3-031-64073-5_17}, pages = {258 -- 269}, year = {2024}, abstract = {Traditionally, business models and software designs used to model the usage of artificial intelligence (AI) at a very specific point in the process or rather fix implemented application. Since applications can be based on AI, such as networked artificial neural networks (ANN) on top of which applications are installed, these on-top applications can be instructed directly from their underlying ANN compartments [1]. However, with the integration of several AI-based systems, their coordination is a highly relevant target factor for the operation and improvement of networked processes, such as they can be found in cross-organizational production contexts spanning multiple distributed locations. This work aims to extend prior research on managing artificial knowledge transfers among interlinked AIs as coordination instrument by examining effects of different activation types (respective activation rates and cycles) on by ANN-instructed production machines. In a design-science-oriented way, this paper conceptualizes rhythmic state descriptions for dynamic systems and associated 14 experiment designs. Two experiments have been realized, analyzed and evaluated thereafter in regard with their activities and processes induced. Findings show that the simulator [2] used and experiments designed and realized, here, (I) enable research on ANN activation types, (II) illustrate ANN-based production networks disrupted by activation types and clarify the need for harmonizing them. Further, (III) management interventions are derived for harmonizing interlinked ANNs. This study establishes the importance of site-specific coordination mechanisms and novel forms of management interventions as drivers of efficient artificial knowledge transfer.}, language = {en} } @inproceedings{Grum2024, author = {Grum, Marcus}, title = {Researching multi-site artificial neural networks' activation rates and activation cycles}, series = {Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1-3, 2024, proceedings}, booktitle = {Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1-3, 2024, proceedings}, editor = {Shishkov, Boris}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-64072-8}, doi = {10.1007/978-3-031-64073-5_12}, pages = {186 -- 206}, year = {2024}, abstract = {With the further development of more and more production machines into cyber-physical systems, and their greater integration with artificial intelligence (AI) techniques, the coordination of intelligent systems is a highly relevant target factor for the operation and improvement of networked processes, such as they can be found in cross-organizational production contexts spanning multiple distributed locations. This work aims to extend prior research on managing their artificial knowledge transfers as coordination instrument by examining effects of different activation types (respective activation rates and cycles) on by Artificial Neural Network (ANN)-instructed production machines. For this, it provides a new integration type of ANN-based cyber-physical production system as a tool to research artificial knowledge transfers: In a design-science-oriented way, a prototype of a simulation system is constructed as Open Source information system which will be used in on-building research to (I) enable research on ANN activation types in production networks, (II) illustrate ANN-based production networks disrupted by activation types and clarify the need for harmonizing them, and (III) demonstrate conceptual management interventions. This simulator shall establish the importance of site-specific coordination mechanisms and novel forms of management interventions as drivers of efficient artificial knowledge transfer.}, language = {en} } @inproceedings{FayyazHartmannHanacketal.2022, author = {Fayyaz, Susann and Hartmann, Bolette and Hanack, Katja and Michelchen, Sophia and Kreiling, Reinhard}, title = {Development of a hematopoietic stem cell (murine system) based system as an alternative for the in vivo T-cell-dependent antibody response (TDAR) assay within the EOGRTS: case-study with Parabens}, series = {Toxicology letters}, volume = {368}, booktitle = {Toxicology letters}, publisher = {Elsevier Science}, address = {Amsterdam [u.a.]}, issn = {0378-4274}, doi = {10.1016/j.toxlet.2022.07.483}, pages = {S175 -- S176}, year = {2022}, language = {en} } @inproceedings{Gleiss2020, author = {Gleiß, Alexander}, title = {The patient will see you now-towards an understanding of on-demand healthcare}, series = {2020 IEEE 22nd Conference on Business Informatics (CBI)}, booktitle = {2020 IEEE 22nd Conference on Business Informatics (CBI)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-9926-9}, doi = {10.1109/CBI49978.2020.00024}, pages = {154 -- 161}, year = {2020}, abstract = {The increasing prevalence and ubiquity of digital technologies is changing the needs and expectations of patients towards healthcare services. As a result, a plethora of patient-centered services edges into the healthcare market. Since digital technologies bear the potential to surmount barriers in time and space, patients increasingly demand real-time or near-time healthcare services. Amongst a cloud of related concepts in the context of digital health, one term increasingly typifies this impulse: on-demand healthcare. While this term can be noticeably found in practice, there is hardly some theoretical foundation so far. Against this background, the aim of this paper is to address this research gap and to explore the phenomenon of on-demand healthcare. Based on a design-science approach including a literature review and analysis of in-depth interviews and empirical cases, the outcome of this paper is twofold: (1) a conceptual framework and (2) a proposal for a definition of on-demand healthcare.}, language = {en} } @inproceedings{DehnertGleissReiss2021, author = {Dehnert, Maik and Gleiß, Alexander and Reiss, Frederick}, title = {What makes a data-driven business model?}, series = {ECIS Proceedings 2021}, booktitle = {ECIS Proceedings 2021}, publisher = {AIS}, address = {Atlanta}, isbn = {978-1-7336325-6-0}, year = {2021}, abstract = {The usage of data to improve or create business models has become vital for companies in the 21st century. However, to extract value from data it is important to understand the business model. Taxonomies for data-driven business models (DDBM) aim to provide guidance for the development and ideation of new business models relying on data. In IS research, however, different taxonomies have emerged in recent years, partly redundant, partly contradictory. Thus, there is a need to synthesize the common ground of these taxonomies within IS research. Based on 26 IS-related taxonomies and 30 cases, we derive and define 14 generic building blocks of DDBM to develop a consolidated taxonomy that represents the current state-of-the-art. Thus, we integrate existing research on DDBM and provide avenues for further exploration of data-induced potentials for business models as well as for the development and analysis of general or industry-specific DDBM.}, language = {en} } @inproceedings{Dehnert2020, author = {Dehnert, Maik}, title = {Organizational change toward IT-supported personal advisory in incumbent banks}, series = {Perspectives in business informatics research}, volume = {398}, booktitle = {Perspectives in business informatics research}, editor = {Buchmann, Robert Andrei and Polini, Andrea and Johansson, Bj{\"o}rn and Karagiannis, Dimitris}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-61139-2}, doi = {10.1007/978-3-030-61140-8_14}, pages = {205 -- 219}, year = {2020}, abstract = {Due to changing customer behavior in digitalization, banks urge to change their traditional value creation in order to improve interaction with customers. New digital technologies such as core banking solutions change organizational structures to provide organizational and individual affordances in IT-supported personal advisory. Based on adaptive structuration theory and with qualitative data from 24 German banks, we identify first, second and third order issues of organizational change in value creation, which are connected with a set of affordances and constraints as the outcomes for customer interaction.}, language = {en} } @inproceedings{Brinkmann2021, author = {Brinkmann, Maik}, title = {Relevance of public administrations}, series = {Proceedings of the 54th Hawaii International Conference on System Sciences 2021}, booktitle = {Proceedings of the 54th Hawaii International Conference on System Sciences 2021}, publisher = {University of Hawaiʻi at Mānoa}, address = {Honolulu, HI}, isbn = {978-0-9981331-4-0}, doi = {10.24251/HICSS.2021.285}, pages = {10}, year = {2021}, abstract = {Power relations within the area of blockchain governance are complex by definition and a comprehensive analysis that links technological and institutional elements is missing to date. The research that is presented with this article focuses on the visualization of the shifting power relations with the introduction of blockchain. For this purpose, the analysis leverages an adjusted version of the multi-stakeholder influence mapping tool. The analysis considers the various stakeholders within the multi-layered blockchain technology stack and compares three fundamental blockchain scenarios, including public and private blockchain settings. The findings show that public administrations face indeed less power with the introduction of blockchain, while new stakeholders come into play who wield influence rather uncontrolled. Nonetheless, public administrations are not powerless overall and remain influential stakeholders. This paper concludes that blockchain governance is not as democratic as blockchain enthusiasts tend to argue and derives corresponding opportunities for further research.}, language = {en} } @inproceedings{GonnermannMuellerTeichmann2024, author = {Gonnermann-M{\"u}ller, Jana and Teichmann, Malte}, title = {Examining the learner's cognitive load in response to different learning material in high and low immersive virtual learning environments}, series = {Information systems and neuroscience}, volume = {68}, booktitle = {Information systems and neuroscience}, editor = {Davis, Fred D. and Riedl, Ren{\´e} and vom Brocke, Jan and L{\´e}ger, Pierre-Majorique and Randolph, Adriane B. and M{\"u}ller-Putz, Gernot R.}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-58395-7}, doi = {10.1007/978-3-031-58396-4_29}, pages = {333 -- 344}, year = {2024}, abstract = {Learning in virtual, immersive environments must be well-designed to foster learning instead of overwhelming and distracting the learner. So far, learning instructions based on cognitive load theory recommend keeping the learning instructions clean and simple to reduce the extraneous cognitive load of the learner to foster learning performance. The advantages of immersive learning, such as multiple options for realistic simulation, movement and feedback, raise questions about the tension between an increase of excitement and flow with highly realistic environments on the one hand and a reduction of cognitive load by developing clean and simple surroundings on the other hand. This study aims to gain insights into learners' cognitive responses during the learning process by continuously assessing cognitive load through eye-tracking. The experiment compares two distinct immersive learning environments and varying methods of content presentation.}, language = {en} } @inproceedings{GundlachAbramova2021, author = {Gundlach, Jana and Abramova, Olga}, title = {Newsfeed clutter as an inhibitor of sensemaking}, series = {AMCIS Proceedings 2021}, booktitle = {AMCIS Proceedings 2021}, publisher = {AIS}, address = {Atlanta}, isbn = {978-1-7336325-8-4}, pages = {10}, year = {2021}, abstract = {As a central functionality of SNSs, the newsfeed is responsible for the way, how content is presented. This paper investigates the implications of current content presentation on Facebook, which has appeared to be a matter of users' criticism. Leaning on the communication theory, we conceptualize clutter on a newsfeed as noise that hinders the receiver's adequate message decoding (i.e., sensemaking). We further operationalize newsfeed clutter via perceived disorder, information overload, and system feature overload. Our participants browsed their Facebook newsfeed for at least 5 minutes. The follow-up survey results provide partial support for our hypotheses, with only perceived disorder significantly associated with lower sensemaking. These findings shed new light on user experience and underpin the importance of SNSs as communication systems, adding to the existent literature on the dark sides of social media.}, language = {en} } @inproceedings{BenderBretschneiderFattahWeil2024, author = {Bender, Benedict and Bretschneider, Sina and Fattah-Weil, Jasmin}, title = {Advances in demand forecasting}, series = {AMCIS Proceedings 2024}, booktitle = {AMCIS Proceedings 2024}, publisher = {AIS}, address = {Atlanta}, pages = {1 -- 11}, year = {2024}, abstract = {This systematic literature review highlights the gap in demand forecasting in the manufacturing sector, which is challenged by complex supply chains and rapid market change. Traditional methods fall short in this dynamic environment, highlighting the need for an approach that combines advanced forecasting techniques, high-quality data, and industry-specific insights. Our research contributes by evaluating advanced forecasting methods, the effectiveness of AI and data strategies to improve accuracy. Our analysis reveals a shift towards machine learning and deep learning to improve accuracy and highlights the untapped potential of external data sources. Key findings provide both researchers and practitioners with guidance on effective forecasting strategies and key data types and offer an integrated framework for improving forecasting accuracy and strategic decision-making in manufacturing. This work fills a critical research gap and provides stakeholders with actionable insights to manage the complexity of modern manufacturing, representing a significant advance in forecasting practice.}, language = {en} }