@inproceedings{RieskampMirbabaieHofeditzetal.2023, author = {Rieskamp, Jonas and Mirbabaie, Milad and Hofeditz, Lennart and Vischedyk, Justin}, title = {Conversational agents and their influence on the well-being of cliniciansclinicians}, series = {ACIS 2023 proceedings}, booktitle = {ACIS 2023 proceedings}, publisher = {Australasian Association for Information Systems}, address = {Wellington}, pages = {16}, year = {2023}, abstract = {An increasing number of clinicians (i.e., nurses and physicians) suffer from mental health-related issues like depression and burnout. These, in turn, stress communication, collaboration, and decision- making—areas in which Conversational Agents (CAs) have shown to be useful. Thus, in this work, we followed a mixed-method approach and systematically analysed the literature on factors affecting the well-being of clinicians and CAs' potential to improve said well-being by relieving support in communication, collaboration, and decision-making in hospitals. In this respect, we are guided by Brigham et al. (2018)'s model of factors influencing well-being. Based on an initial number of 840 articles, we further analysed 52 papers in more detail and identified the influences of CAs' fields of application on external and individual factors affecting clinicians' well-being. As our second method, we will conduct interviews with clinicians and experts on CAs to verify and extend these influencing factors.}, language = {en} } @inproceedings{RojahnGronau2023, author = {Rojahn, Marcel and Gronau, Norbert}, title = {Digital platform concepts for manufacturing companies}, series = {10th International Conference on Future Internet of Things and Cloud (FiCloud)}, booktitle = {10th International Conference on Future Internet of Things and Cloud (FiCloud)}, publisher = {IEEE}, address = {[Erscheinungsort nicht ermittelbar]}, isbn = {979-8-3503-1635-3}, doi = {10.1109/FiCloud58648.2023.00030}, pages = {149 -- 158}, year = {2023}, abstract = {Digital Platforms (DPs) has established themself in recent years as a central concept of the Information Technology Science. Due to the great diversity of digital platform concepts, clear definitions are still required. Furthermore, DPs are subject to dynamic changes from internal and external factors, which pose challenges for digital platform operators, developers and customers. Which current digital platform research directions should be taken to address these challenges remains open so far. The following paper aims to contribute to this by outlining a systematic literature review (SLR) on digital platform concepts in the context of the Industrial Internet of Things (IIoT) for manufacturing companies and provides a basis for (1) a selection of definitions of current digital platform and ecosystem concepts and (2) a selection of current digital platform research directions. These directions are diverted into (a) occurrence of digital platforms, (b) emergence of digital platforms, (c) evaluation of digital platforms, (d) development of digital platforms, and (e) selection of digital platforms.}, language = {en} } @inproceedings{VladovaUllrichSultanowetal.2023, author = {Vladova, Gergana and Ullrich, Andr{\´e} and Sultanow, Eldar and Tobolla, Marinho and Sebrak, Sebastian and Czarnecki, Christian and Brockmann, Carsten}, title = {Visual analytics for knowledge management}, series = {Informatik 2023}, booktitle = {Informatik 2023}, editor = {Klein, Maike and Krupka, Daniel and Winter, Cornelia and Wohlgemuth, Volker}, publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)}, address = {Bonn}, isbn = {978-3-88579-731-9}, issn = {1617-5468}, doi = {10.18420/inf2023_187}, pages = {1851 -- 1870}, year = {2023}, abstract = {The management of knowledge in organizations considers both established long-term processes and cooperation in agile project teams. Since knowledge can be both tacit and explicit, its transfer from the individual to the organizational knowledge base poses a challenge in organizations. This challenge increases when the fluctuation of knowledge carriers is exceptionally high. Especially in large projects in which external consultants are involved, there is a risk that critical, company-relevant knowledge generated in the project will leave the company with the external knowledge carrier and thus be lost. In this paper, we show the advantages of an early warning system for knowledge management to avoid this loss. In particular, the potential of visual analytics in the context of knowledge management systems is presented and discussed. We present a project for the development of a business-critical software system and discuss the first implementations and results.}, language = {en} } @inproceedings{ClausenBruenkerStieglitz2023, author = {Clausen, S{\"u}nje and Br{\"u}nker, Felix and Stieglitz, Stefan}, title = {Towards responsible augmentation}, series = {ACIS 2023 proceedings}, booktitle = {ACIS 2023 proceedings}, publisher = {Australasian Association for Information Systems}, address = {Wellington}, pages = {9}, year = {2023}, abstract = {Artificial intelligence (AI)-based technologies can increasingly perform knowledge work tasks, such as medical diagnosis. Thereby, it is expected that humans will not be replaced by AI but work closely with AI-based technology ("augmentation"). Augmentation has ethical implications for humans (e.g., impact on autonomy, opportunities to flourish through work), thus, developers and managers of AI-based technology have a responsibility to anticipate and mitigate risks to human workers. However, doing so can be difficult as AI encompasses a wide range of technologies, some of which enable fundamentally new forms of interaction. In this research-in-progress paper, we propose the development of a taxonomy to categorize unique characteristics of AI-based technology that influence the interaction and have ethical implications for human workers. The completed taxonomy will support researchers in forming cumulative knowledge on the ethical implications of augmentation and assist practitioners in the ethical design and management of AI-based technology in knowledge work.}, language = {en} } @inproceedings{Grum2023, author = {Grum, Marcus}, title = {Learning representations by crystallized back-propagating errors}, series = {Artificial intelligence and soft computing}, booktitle = {Artificial intelligence and soft computing}, editor = {Rutkowski, Leszek and Scherer, Rafał and Korytkowski, Marcin and Pedrycz, Witold and Tadeusiewicz, Ryszard and Zurada, Jacek M.}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-42504-2}, doi = {10.1007/978-3-031-42505-9_8}, pages = {78 -- 100}, year = {2023}, abstract = {With larger artificial neural networks (ANN) and deeper neural architectures, common methods for training ANN, such as backpropagation, are key to learning success. Their role becomes particularly important when interpreting and controlling structures that evolve through machine learning. This work aims to extend previous research on backpropagation-based methods by presenting a modified, full-gradient version of the backpropagation learning algorithm that preserves (or rather crystallizes) selected neural weights while leaving other weights adaptable (or rather fluid). In a design-science-oriented manner, a prototype of a feedforward ANN is demonstrated and refined using the new learning method. The results show that the so-called crystallizing backpropagation increases the control possibilities of neural structures and interpretation chances, while learning can be carried out as usual. Since neural hierarchies are established because of the algorithm, ANN compartments start to function in terms of cognitive levels. This study shows the importance of dealing with ANN in hierarchies through backpropagation and brings in learning methods as novel ways of interacting with ANN. Practitioners will benefit from this interactive process because they can restrict neural learning to specific architectural components of ANN and can focus further development on specific areas of higher cognitive levels without the risk of destroying valuable ANN structures.}, language = {en} } @inproceedings{GrumThimRolingetal.2023, author = {Grum, Marcus and Thim, Christof and Roling, Wiebke and Sch{\"u}ffler, Arnulf and Kluge, Annette and Gronau, Norbert}, title = {AI case-based reasoning for artificial neural networks}, series = {Artificial intelligence and industrial applications}, volume = {771}, booktitle = {Artificial intelligence and industrial applications}, editor = {Masrour, Tawfik and El Hassani, Ibtissam and Barka, Noureddine}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-43523-2}, doi = {10.1007/978-3-031-43524-9_2}, pages = {17 -- 35}, year = {2023}, abstract = {Faced with the triad of time-cost-quality, the realization of production tasks under economic conditions is not trivial. Since the number of Artificial-Intelligence-(AI)-based applications in business processes is increasing more and more nowadays, the efficient design of AI cases for production processes as well as their target-oriented improvement is essential, so that production outcomes satisfy high quality criteria and economic requirements. Both challenge production management and data scientists, aiming to assign ideal manifestations of artificial neural networks (ANNs) to a certain task. Faced with new attempts of ANN-based production process improvements [8], this paper continues research about the optimal creation, provision and utilization of ANNs. Moreover, it presents a mechanism for AI case-based reasoning for ANNs. Experiments clarify continuously improving ANN knowledge bases by this mechanism empirically. Its proof-of-concept is demonstrated by the example of four production simulation scenarios, which cover the most relevant use cases and will be the basis for examining AI cases on a quantitative level.}, language = {en} } @inproceedings{GonnermannTeichmann2023, author = {Gonnermann, Jana and Teichmann, Malte}, title = {Influence of pre-experience on learning, usability and cognitive load in a virtual learning environment}, series = {Americas conference on information systems}, booktitle = {Americas conference on information systems}, number = {1871}, publisher = {AIS}, address = {Atlanta}, year = {2023}, abstract = {Virtual reality can have advantages for education and learning. However, it must be adequately designed so that the learner benefits from the technological possibilities. Understanding the underlying effects of the virtual learning environment and the learner's prior experience with virtual reality or prior knowledge of the content is necessary to design a proper virtual learning environment. This article presents a pre-study testing the design of a virtual learning environment for engineering vocational training courses. In the pre-study, 12 employees of two companies joined the training course in one of the two degrees of immersion (desktop VR and VR HMD). Quantitative results on learning success, cognitive load, usability, and motivation and qualitative learning process data were presented. The qualitative data assessment shows that overall, the employees were satisfied with the learning environment regardless of the level of immersion and that the participants asked for more guidance and structure accompanying the learning process. Further research is needed to test for solid group differences.}, language = {en} } @inproceedings{BenderGronauWinter2023, author = {Bender, Benedict and Gronau, Norbert and Winter, Robert}, title = {Minitrack introduction enterprise-level information systems}, series = {Proceedings of the 56th Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 56th Hawaii International Conference on System Sciences}, editor = {Bui, Tung X.}, publisher = {Hawaii International Conference on System Sciences}, address = {Honolulu, HI}, isbn = {978-0-9981331-6-4}, issn = {2572-6862}, pages = {5809 -- 5810}, year = {2023}, abstract = {While Information Systems (IS) Research on the individual and workgroup level of analysis is omnipresent, research on the enterprise-level IS is less frequent. Even though research on Enterprise Systems and their management is established in academic associations and conference programs, enterprise-level phenomena are underrepresented. This minitrack provides a forum to integrate existing research streams that traditionally needed to be attached to other topics (such as IS management or IS governance). The minitrack received broad attention. The three selected papers address different facets of the future role of enterprise-wide IS including aspects such as carbonization, ecosystem integration, and technology-organization fit.}, language = {en} } @inproceedings{BoehmeWuttkeBenderetal.2023, author = {B{\"o}hme, Lukas and Wuttke, Tobias and Bender, Benedict and Teusner, Ralf and Baltes, Sebastian and Matthies, Christoph and Perscheid, Michael}, title = {From full-fledged erp systems towards process-centric business process platforms}, series = {Twenty-ninth Americas Conference on Information Systems, Panama, 2023}, booktitle = {Twenty-ninth Americas Conference on Information Systems, Panama, 2023}, publisher = {arXiv.org, Cornell University}, address = {Ithaca, NY}, doi = {10.48550/arXiv.2306.02995}, pages = {10}, year = {2023}, abstract = {Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine the challenges of current ERP systems using the task technology fit theory across companies of varying sizes. We describe high entry barriers, high costs of implementing implicit processes, and insufficient interoperability of already employed tools. We present a vision of a future business process platform based on three enablers: Business processes as first-class entities, semantic data and processes, and cloud-native elasticity and high availability. We discuss how these enablers address current ERP systems' challenges and how they may be used for research on the next generation of business software for tomorrow's enterprises.}, language = {en} } @inproceedings{BrandenburgerBrueschVoigtetal.2023, author = {Brandenburger, Bonny and Br{\"u}sch, Julia and Voigt, Maximilian and Busch, Magnus}, title = {Towards an open hardware process model for long-term sustainability}, series = {ECIS 2023 research-in-progress papers}, booktitle = {ECIS 2023 research-in-progress papers}, publisher = {Association for Information Systems (AIS)}, address = {Atlanta, GA}, pages = {1428 -- 1439}, year = {2023}, abstract = {The rise of open source models for software and hardware development has catalyzed the debate regarding sustainable business models. Open Source Software has already become a dominant part in the software industry, whereas Open Source Hardware is still a little-researched phenomenon but has the potential to do the same to manufacturing in a wide range of products. This article addresses this potential by introducing a research design to analyze the prototyping phase of six different Open Source Hardware projects tackling ecological, social, and economical challenges. Using a design science research methodology, a process model is developed to concretise the prototype development steps. The prototype phase is important because it is where fundamental decisions are made that affect the openness of the final product. This paper aims to advance the discourse on open production as a concept that enables companies to apply the aspect of openness towards collaboration-oriented and sustainable business models.}, language = {en} } @inproceedings{LilliestamDuGilmanovaetal.2023, author = {Lilliestam, Johan and Du, Fengli and Gilmanova, Alina and Mehos, Mark and Wang, Zhifeng and Thonig, Richard}, title = {Scaling up CSP}, series = {AIP conference proceedings}, volume = {2815}, booktitle = {AIP conference proceedings}, number = {1}, publisher = {American Institute of Physics}, address = {Melville}, issn = {1551-7616}, doi = {10.1063/5.0148709}, pages = {10}, year = {2023}, abstract = {Concentrating solar power (CSP) is one of the few scalable technologies capable of delivering dispatchable renewable power. Therefore, many expect it to shoulder a significant share of system balancing in a renewable electricity future powered by cheap, intermittent PV and wind power: the IEA, for example, projects 73 GW CSP by 2030 and several hundred GW by 2050 in its Net-Zero by 2050 pathway. In this paper, we assess how fast CSP can be expected to scale up and how long time it would take to get new, high-efficiency CSP technologies to market, based on observed trends and historical patterns. We find that to meaningfully contribute to net-zero pathways the CSP sector needs to reach and exceed the maximum historical annual growth rate of 30\%/year last seen between 2010-2014 and maintain it for at least two decades. Any CSP deployment in the 2020s will rely mostly on mature existing technologies, namely parabolic trough and molten-salt towers, but likely with adapted business models such as hybrid CSP-PV stations, combining the advantages of higher-cost dispatchable and low-cost intermittent power. New third-generation CSP designs are unlikely to play a role in markets during the 2020s, as they are still at or before the pilot stage and, judging from past pilot-to-market cycles for CSP, they will likely not be ready for market deployment before 2030. CSP can contribute to low-cost zero-emission energy systems by 2050, but to make that happen, at the scale foreseen in current energy models, ambitious technology-specific policy support is necessary, as soon as possible and in several countries.}, language = {en} } @inproceedings{KocurClausenHofeditzetal.2023, author = {Kocur, Alexander and Clausen, S{\"u}nje and Hofeditz, Lennart and Br{\"u}nker, Felix and Fromm, Jennifer and Stieglitz, Stefan}, title = {Fighting false information}, series = {ECIS 2023 research-in-progress papers}, booktitle = {ECIS 2023 research-in-progress papers}, publisher = {AIS Electronic Library (AISeL)}, address = {[Erscheinungsort nicht ermittelbar]}, pages = {12}, year = {2023}, abstract = {The digital transformation poses challenges for public sector organizations (PSOs) such as the dissemination of false information in social media which can cause uncertainty among citizens and decrease trust in the public sector. Some PSOs already successfully deploy conversational agents (CAs) to communicate with citizens and support digital service delivery. In this paper, we used design science research (DSR) to examine how CAs could be designed to assist PSOs in fighting false information online. We conducted a workshop with the municipality of Kristiansand, Norway to define objectives that a CA would have to meet for addressing the identified false information challenges. A prototypical CA was developed and evaluated in two iterations with the municipality and students from Norway. This research-in-progress paper presents findings and next steps of the DSR process. This research contributes to advancing the digital transformation of the public sector in combating false information problems.}, language = {en} } @inproceedings{EsveldVriesBecchettietal.2023, author = {Esveld, Selma van and Vries, Nardo de and Becchetti, Sibilla and Dopper, Sofia and Valkenburg, Willem van and Carlon, May Kristine Jonson and Yokoi, Kensuke and Gayed, John Maurice and Suyama, Hiroshi and Cross, Jeffrey Scott and Jin, Tonje and Xue, Wei and Bruillard, {\´E}ric and Steinbeck, Hendrik and Meinel, Christoph and {\"O}zdemir, Paker Doğu and Can Bayer, Burak and Mercan, Duygu and Buyurucu, Gamze and Haugsbakken, Halvdan and Hagelia, Marianne and Ebner, Martin and Edelsbrunner, Sarah and Hohla-Sejkora, Katharina and Lipp, Silvia and Sch{\"o}n, Sandra and Xiaoxiao, Wang and Shuangshuang, Guo and Morales-Chan, Miguel and Amado-Salvatierra, H{\´e}ctor R. and Hern{\´a}ndez-Rizzardini, Rocael and Egloffstein, Marc and H{\"u}nemohr, Holger and Ifenthaler, Dirk and Dixon, Fred and Trabucchi, Stefania and Khaneboubi, Mehdi and Giannatelli, Ada and Tomasini, Alessandra and Staubitz, Thomas and Serth, Sebastian and Thomas, Max and Koschutnig-Ebner, Markus and Rampelt, Florian and Stetten, Alexander von and Wittke, Andreas and Theeraroungchaisri, Anuchai and Thammetar, Thapanee and Duangchinda, Vorasuang and Khlaisang, Jintavee and Mair, Bettina and Steinkellner, Iris and Stojcevic, Ivana and Zwiauer, Charlotte and Thirouard, Maria and Vill{\`e}sbrunne, Marie de la and Bernaert, Oliver and Nohr, Magnus and Alario Hoyos, Carlos and Delgado Kloos, Carlos and Kiendl, Doris and Terzieva, Liliya and Concia, Francesca and Distler, Petr and Law, Gareth and Macerata, Elena and Mariani, Mario and Mossini, Eros and Negrin, Maddalena and Štrok, Marko and Neub{\"o}ck, Kristina and Linschinger, Nadine and Lorenz, Anja and Bock, Stefanie and Schulte-Ostermann, Juleka and Moura Santos, Ana and Corti, Paola and Costa, Luis Felipe Coimbra and Utunen, Heini and Attias, Melissa and Tokar, Anna and Kennedy, Eileen and Laurillard, Diana and Zeitoun, Samar and Wasilewski, Julie and Shlaka, Souhad and Ouahib, Sara and Berrada, Khalid and Dietz, Michael and Roth, Dennis}, title = {EMOOCs 2023}, editor = {Meinel, Christoph and Schweiger, Stefanie and Staubitz, Thomas and Conrad, Robert and Alario Hoyos, Carlos and Ebner, Martin and Sancassani, Susanna and Żur, Agnieszka and Friedl, Christian and Halawa, Sherif and Gamage, Dilrukshi and Cross, Jeffrey and Jonson Carlon, May Kristine and Deville, Yves and Gaebel, Michael and Delgado Kloos, Carlos and von Schmieden, Karen}, doi = {10.25932/publishup-57645}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-576450}, year = {2023}, abstract = {From June 14 to June 16, 2023, Hasso Plattner Institute, Potsdam, hosted the eighth European MOOC Stakeholder Summit (EMOOCs 2023). The pandemic is fortunately over. It has once again shown how important digital education is. How well-prepared a country was could be seen in our schools, universities, and companies. In different countries, the problems manifested themselves differently. The measures and approaches to solving the problems varied accordingly. Digital education, whether micro-credentials, MOOCs, blended learning formats, or other e-learning tools, received a major boost. EMOOCs 2023 focusses on the effects of this emergency situation. How has it affected the development and delivery of MOOCs and other e-learning offerings all over Europe? Which projects can serve as models for successful digital learning and teaching? Which roles can MOOCs and micro-credentials bear in the current business transformation? Is there a backlash to the routine we knew from pre-Corona times? Or have many things become firmly established in the meantime, e.g. remote work, hybrid conferences, etc.? Furthermore, EMOOCs 2023 has a closer look at the development and formalization of digital learning. Micro-credentials are just the starting point. Further steps in this direction would be complete online study programs or full online universities. Another main topic is the networking of learning offers and the standardization of formats and metadata. Examples of fruitful cooperations are the MOOChub, the European MOOC Consortium, and the Common Micro-Credential Framework. The learnings, derived from practical experience and research, are explored in EMOOCs 2023 in four tracks and additional workshops, covering various aspects of this field. In this publication, we present papers from the conference's Research \& Experience Track, the Business Track and the International Track.}, language = {en} } @inproceedings{DiazFerreyraShahiTonyetal.2023, author = {Diaz Ferreyra, Nicol{\´a}s Emilio and Shahi, Gautam Kishore and Tony, Catherine and Stieglitz, Stefan and Scandariato, Riccardo}, title = {Regret, delete, (do not) repeat}, series = {Extended abstracts of the 2023 CHI conference on human factors in computing systems}, booktitle = {Extended abstracts of the 2023 CHI conference on human factors in computing systems}, editor = {Schmidt, Albrecht and V{\"a}{\"a}n{\"a}nen, Kaisa and Goyal, Tesh and Kristensson, Per Ola and Peters, Anicia}, publisher = {ACM}, address = {New York, NY}, isbn = {978-1-45039-422-2}, doi = {10.1145/3544549.3585583}, pages = {1 -- 7}, year = {2023}, abstract = {During the outbreak of the COVID-19 pandemic, many people shared their symptoms across Online Social Networks (OSNs) like Twitter, hoping for others' advice or moral support. Prior studies have shown that those who disclose health-related information across OSNs often tend to regret it and delete their publications afterwards. Hence, deleted posts containing sensitive data can be seen as manifestations of online regrets. In this work, we present an analysis of deleted content on Twitter during the outbreak of the COVID-19 pandemic. For this, we collected more than 3.67 million tweets describing COVID-19 symptoms (e.g., fever, cough, and fatigue) posted between January and April 2020. We observed that around 24\% of the tweets containing personal pronouns were deleted either by their authors or by the platform after one year. As a practical application of the resulting dataset, we explored its suitability for the automatic classification of regrettable content on Twitter.}, language = {en} }