TY - CHAP A1 - Winter, Robert A1 - Bender, Benedict A1 - Aier, Stephan ED - Bui, Tung X. T1 - Enterprise-level IS research – need, conceptualization, exemplary knowledge contributions and future opportunities T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - Enterprise solutions, specifically enterprise systems, have allowed companies to integrate enterprises’ operations throughout. The integration scope of enterprise solutions has increasingly widened, now often covering customer activities, activities along supply chains, and platform ecosystems. IS research has contributed a wide range of explanatory and design knowledge dealing with this class of IS. During the last two decades, many technological as well as managerial/organizational innovations extended the affordances of enterprise solutions—but this broader scope also challenges traditional approaches to their analysis and design. This position paper presents an enterprise-level (i.e., cross-solution) perspective on IS, discusses the challenges of complexity and coordination for IS design and management, presents selected enterprise-level insights for IS coordination and governance, and explores avenues towards a more comprehensive body of knowledge on this important level of analysis. KW - enterprise ecosystems: the integrated enterprise KW - levels of information systems research (process, enterprise-, ecosystem- & industry-level) KW - enterprise architecture KW - enterprise systems KW - is governance KW - it/business alignment KW - organizational level Y1 - 2024 SN - 978-0-9981331-7-1 SP - 6402 EP - 6411 PB - Hawaii International Conference on System Sciences CY - Honolulu, HI ER - TY - CHAP A1 - Bender, Benedict A1 - Winter, Robert A1 - Schmidt, Pamela A1 - Narasimhan, Sathya ED - Bui, Tung X. T1 - Minitrack introduction: Enterprise Ecosystems BT - the integrated enterprise, levels of information systems research (process, enterprise-, ecosystem- & industry-level) T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - While Information Systems Research exists at the individual and workgroup levels, research on IS at the enterprise level is less common. The potential synergies between the study of enterprise systems (ES) and related fields have been underexplored and often treated as separate entities. The ongoing challenge is to seamlessly integrate technological advances and align business processes across organizations. While systems integration within an organization is common, changes occur when industry and ecosystem perspectives come into play. The four selected papers address different facets of the future role of enterprise ecosystems, including implementation challenges, ecosystem boundaries, and B2B platform specifics. KW - information systems research KW - ERP KW - enteprise-level KW - enterprise systems Y1 - 2024 SN - 978-0-9981331-7-1 SN - 2572-6862 SP - 6370 EP - 6371 PB - Hawaii International Conference on System Sciences CY - Honolulu, HI ER - TY - CHAP A1 - Kay, Alex James T1 - Holocaust Research in Germany BT - current status and future challenges T2 - Hurbán Folyóirat Y1 - 2020 UR - https://hdke.hu/wp-content/uploads/2024/01/3-kay-alex-j.pdf UR - https://hdke.hu/folyoirat/2023-2/ SN - 3004-023X VL - 2 SP - 22 EP - 28 PB - Holokauszt Emlékközpont – Holocaust Memorial Center CY - Budapest ER - TY - CHAP A1 - Panzer, Marcel A1 - Gronau, Norbert T1 - Enhancing economic efficiency in modular production systems through deep reinforcement learning T2 - Procedia CIRP N2 - In times of increasingly complex production processes and volatile customer demands, the production adaptability is crucial for a company's profitability and competitiveness. The ability to cope with rapidly changing customer requirements and unexpected internal and external events guarantees robust and efficient production processes, requiring a dedicated control concept at the shop floor level. Yet in today's practice, conventional control approaches remain in use, which may not keep up with the dynamic behaviour due to their scenario-specific and rigid properties. To address this challenge, deep learning methods were increasingly deployed due to their optimization and scalability properties. However, these approaches were often tested in specific operational applications and focused on technical performance indicators such as order tardiness or total throughput. In this paper, we propose a deep reinforcement learning based production control to optimize combined techno-financial performance measures. Based on pre-defined manufacturing modules that are supplied and operated by multiple agents, positive effects were observed in terms of increased revenue and reduced penalties due to lower throughput times and fewer delayed products. The combined modular and multi-staged approach as well as the distributed decision-making further leverage scalability and transferability to other scenarios. KW - modular production KW - production control KW - multi-agent system KW - deep reinforcement learning KW - discrete event simulation Y1 - 2024 U6 - https://doi.org/10.1016/j.procir.2023.09.229 SN - 2212-8271 VL - 121 SP - 55 EP - 60 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Bender, Benedict A1 - Bretschneider, Sina A1 - Fattah-Weil, Jasmin T1 - Advances in demand forecasting BT - a systematic review of methods, the role of AI, and data strategies in manufacturing T2 - AMCIS Proceedings 2024 N2 - 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. KW - demand forecasting KW - sales forecasting KW - forecasting methods KW - manufacturing industry KW - forecasting data KW - systematic literature review Y1 - 2024 UR - https://aisel.aisnet.org/amcis2024/stratcompis/stratcompis/7/ SP - 1 EP - 11 PB - AIS CY - Atlanta ER - TY - CHAP A1 - Gonnermann-Müller, Jana A1 - Teichmann, Malte ED - Davis, Fred D. ED - Riedl, René ED - vom Brocke, Jan ED - Léger, Pierre-Majorique ED - Randolph, Adriane B. ED - Müller-Putz, Gernot R. T1 - Examining the learner’s cognitive load in response to different learning material in high and low immersive virtual learning environments BT - an eye-tracking study T2 - Information systems and neuroscience N2 - 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. Y1 - 2024 SN - 978-3-031-58395-7 SN - 978-3-031-58396-4 U6 - https://doi.org/10.1007/978-3-031-58396-4_29 VL - 68 SP - 333 EP - 344 PB - Springer CY - Cham ER - TY - CHAP A1 - Mucha, Anne A1 - Engels, James J. A1 - Whibley, Fred A1 - Uegaki, Wataru A1 - Wamsley, James C. A1 - Dawson, Virginia A1 - Gruzdeva, Anastasija A1 - Alhazova, Anna A1 - Golovnina, Anna A1 - Nasyrova, Regina A1 - Sadkovsky, Feudor A1 - Weingartz, Siena A1 - Hohaus, Vera A1 - Cisse, Ousmane A1 - Coppock, Elizabeth A1 - Agodio, Badiba Olivier A1 - Jenks, Peter A1 - Sande, Hannah A1 - Zimmermann, Malte A1 - Berezovskaya, Polina A1 - Chen, Sihwei A1 - Renans, Agata ED - Lecavelier des Etangs-Levallois, Jeanne ED - Geick, Niklas ED - Grubic, Mira ED - Bharadwaj, Prarthanaa ED - Zimmermann, Malte T1 - Proceedings of TripleA 10 BT - fieldwork perspectives on the semantics of African, Asian and Austronesian languages T2 - Proceedings of TripleA N2 - The TripleA workshop series was founded in 2014 by linguists from Potsdam and Tübingen with the aim of providing a platform for researchers that conduct theoretically-informed linguistic fieldwork on meaning. Its focus is particularly on languages that are under-represented in the current research landscape, including but not limited to languages of Africa, Asia, and Australia, hence TripleA. For its 10th anniversary, TripleA returned to the University of Potsdam on the 7-9th of June 2023. The programme included 21 talks dealing with no less than 22 different languages, including three invited talks given by Sihwei Chen (Academia Sinica), Jérémy Pasquereau (Laboratoire de Linguistique de Nantes, CNRS) and Agata Renans (Ruhr-Universität Bochum). Nine of these (invited or peer-reviewed) talks are featured in this volume. N2 - Die TripleA-Workshop-Reihe wurde 2014 von Linguisten aus Potsdam und Tübingen mit dem Ziel gegründet, eine Plattform für Forscherinnen und Forscher zu bieten, die theoretisch informierte Feldforschung zu sprachlicher Bedeutung betreiben. Der Fokus liegt insbesondere auf Sprachen, die in der aktuellen Forschungslandschaft unterrepräsentiert sind, einschließlich (aber nicht ausschließlich) auf Sprachen aus Afrika, Asien und Australien: daher der Name TripleA. Zu seinem 10-jährigen Bestehen kehrte TripleA vom 7. Bis 9. Juni 2023 an die Universität Potsdam zurück. Das Programm umfasste 21 Vorträge zu nicht weniger als 22 verschiedenen Sprachen, darunter drei eingeladene Vorträge von Sihwei Chen (Academia Sinica), Jérémy Pasquereau (Laboratoire de Linguistique de Nantes, CNRS) und Agata Renans (Ruhr-Universität Bochum). Neun dieser (eingeladenen oder begutachteten) Vorträge sind in diesem Band abgedruckt. KW - African languages KW - Asian languages KW - Austronesian languages KW - fieldwork KW - semantics KW - afrikanische Sprachen KW - asiatische Sprachen KW - austronesische Sprachen KW - Feldforschung KW - Semantik Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-647980 ER - TY - CHAP A1 - Grum, Marcus ED - Shishkov, Boris T1 - Researching multi-site artificial neural networks’ activation rates and activation cycles T2 - Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1–3, 2024, proceedings N2 - 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. Y1 - 2024 SN - 978-3-031-64072-8 SN - 978-3-031-64073-5 U6 - https://doi.org/10.1007/978-3-031-64073-5_12 SP - 186 EP - 206 PB - Springer CY - Cham ER - TY - CHAP A1 - Grum, Marcus ED - Shishkov, Boris T1 - Managing multi-site artificial neural networks’ activation rates and activation cycles T2 - Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1–3, 2024, proceedings N2 - 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. Y1 - 2024 SN - 978-3-031-64072-8 SN - 978-3-031-64073-5 U6 - https://doi.org/10.1007/978-3-031-64073-5_17 SP - 258 EP - 269 PB - Springer CY - Cham ER - TY - CHAP A1 - Abendroth, Adrian A1 - Bender, Benedict A1 - Gronau, Norbert T1 - The evolution of original ERP customization BT - a systematic literature review of technical possibilities T2 - Proceedings of the 26th International Conference on Enterprise Information Systems N2 - Enterprise Resource Planning (ERP) system customization is often necessary because companies have unique processes that provide their competitive advantage. Despite new technological advances such as cloud computing or model-driven development, technical ERP customization options are either outdated or ambiguously formulated in the scientific literature. Using a systematic literature review (SLR) that analyzes 137 definitions from 26 papers, the result is an analysis and aggregation of technical customization types by providing clearance and aligning with future organizational needs. The results show a shift from ERP code modification in on-premises systems to interface and integration customization in cloud ERP systems, as well as emerging technological opportunities as a way for customers and key users to perform system customization. The study contributes by providing a clear understanding of given customization types and assisting ERP users and vendors in making customization decisions. KW - Enterprise Resource Planning (ERP) System KW - Customization KW - Modification KW - Tailoring KW - Literature Review Y1 - 2024 SN - 978-989-758-692-7 U6 - https://doi.org/10.5220/0012305500003690 SN - 2184-4992 VL - 1 SP - 17 EP - 27 PB - SCITEPRESS - Science and Technology Publications CY - Setúbal ER - TY - CHAP A1 - Rojahn, Marcel A1 - Gronau, Norbert ED - Bui, Tung X. T1 - Openness indicators for the evaluation of digital platforms between the launch and maturity phase T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - In recent years, the evaluation of digital platforms has become an important focus in the field of information systems science. The identification of influential indicators that drive changes in digital platforms, specifically those related to openness, is still an unresolved issue. This paper addresses the challenge of identifying measurable indicators and characterizing the transition from launch to maturity in digital platforms. It proposes a systematic analytical approach to identify relevant openness indicators for evaluation purposes. The main contributions of this study are the following (1) the development of a comprehensive procedure for analyzing indicators, (2) the categorization of indicators as evaluation metrics within a multidimensional grid-box model, (3) the selection and evaluation of relevant indicators, (4) the identification and assessment of digital platform architectures during the launch-to-maturity transition, and (5) the evaluation of the applicability of the conceptualization and design process for digital platform evaluation. KW - federated industrial platform ecosystems KW - technologies KW - business models KW - data-driven artifacts KW - design-science research KW - digital platform openness KW - evaluation KW - morphological analysis Y1 - 2024 SN - 978-0-99813-317-1 SP - 4516 EP - 4525 PB - Department of IT Management Shidler College of Business University of Hawaii CY - Honolulu, HI ER - TY - CHAP A1 - Marx, Julian A1 - Brünker, Felix A1 - Mirbabaie, Milad A1 - Stieglitz, Stefan ED - Bui, Tung X. T1 - Digital activism on social media BT - the role of brand ambassadors and corporate reputation management T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - Social media constitute an important arena for public debates and steady interchange of issues relevant to society. To boost their reputation, commercial organizations also engage in political, social, or environmental debates on social media. To engage in this type of digital activism, organizations increasingly utilize the social media profiles of executive employees and other brand ambassadors. However, the relationship between brand ambassadors’ digital activism and corporate reputation is only vaguely understood. The results of a qualitative inquiry suggest that digital activism via brand ambassadors can be risky (e.g., creating additional surface for firestorms, financial loss) and rewarding (e.g., emitting authenticity, employing ‘megaphones’ for industry change) at the same time. The paper informs both scholarship and practitioners about strategic trade-offs that need to be considered when employing brand ambassadors for digital activism. KW - the bright and dark side of social media in the marginalized contexts KW - brand ambassadors KW - digital activism KW - reputation management KW - social media Y1 - 2024 UR - https://hdl.handle.net/10125/107250 SN - 978-0-99813-317-1 SP - 7205 EP - 7214 PB - Department of IT Management Shidler College of Business University of Hawaii CY - Honolulu, HI ER - TY - CHAP A1 - Mirbabaie, Milad A1 - Rieskamp, Jonas A1 - Hofeditz, Lennart A1 - Stieglitz, Stefan ED - Bui, Tung X. T1 - Breaking down barriers BT - how conversational agents facilitate open science and data sharing T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - Many researchers hesitate to provide full access to their datasets due to a lack of knowledge about research data management (RDM) tools and perceived fears, such as losing the value of one's own data. Existing tools and approaches often do not take into account these fears and missing knowledge. In this study, we examined how conversational agents (CAs) can provide a natural way of guidance through RDM processes and nudge researchers towards more data sharing. This work offers an online experiment in which researchers interacted with a CA on a self-developed RDM platform and a survey on participants’ data sharing behavior. Our findings indicate that the presence of a guiding and enlightening CA on an RDM platform has a constructive influence on both the intention to share data and the actual behavior of data sharing. Notably, individual factors do not appear to impede or hinder this effect. KW - open science practices in information systems research KW - conversational agents KW - data sharing KW - digital nudging KW - open science KW - research data management Y1 - 2024 UR - https://hdl.handle.net/10125/106457 SN - 978-0-99813-317-1 SP - 672 EP - 681 PB - Department of IT Management Shidler College of Business University of Hawaii CY - Honolulu, HI ER - TY - CHAP A1 - Rauschenbach, Sina ED - Huss, Bernhard T1 - Presentism and the denial of coevalness BT - the descriptions of England and Ireland in the Seventeenth-Century ‘Elzevirian Republics’ T2 - Von Neuem: Tradition und Novation in der Vormoderne N2 - In Time and the Other Johannes Fabian analysed how modern conceptions of time were “not only secularized and naturalized but also thoroughly spatialized.” According to Fabian, this was particularly visible in modern anthropology which “promoted a scheme in terms of which not only past cultures but all living societies were irrevocably placed on a temporal slope, a stream of Time – some upstream, others downstream.”3 Anthropologists attributed otherness to a distant past which was traditionally associated with cultural retardation, i.e. a lower degree of development, progress, and civilization. Cultural difference was expressed in terms of temporal distance while temporal distance was attributed to spatial remoteness. The result was a phenomenon that Fabian coined “the denial of coevalness” which pointed towards “a persistent and systematic tendency to place the referent(s) of anthropology in a Time other than the present of the producer of anthropological discourse. Y1 - 2024 SN - 978-3-8253-8663-4 SN - 978-3-8253-9582-7 U6 - https://doi.org/10.33675/2024-82538663 VL - GRM-Beiheft 113 SP - 195 EP - 211 PB - Universitätsverlag Winter GmbH CY - Heidelberg ER - TY - CHAP A1 - Gießmann, Nico A1 - Bender, Benedict ED - Kö, Andrea ED - Kotsis, Gabriele ED - Tjoa, A. Min ED - Khalil, Ismail T1 - Towards a unified framework for evaluating user satisfaction with mobile government apps BT - insights from user reviews T2 - Electronic Government and the Information Systems Perspective : 13th International Conference, EGOVIS 2024, Naples, Italy, August 26–28, 2024, Proceedings N2 - This study aims to bring together scattered research findings on user satisfaction with mobile government apps into a unified framework. The researchers analyzed 70 high-quality papers from leading journals and conferences and systematically integrated different frameworks and case studies to reflect the importance of the field over time while also highlighting methodological and geographical research gaps. The study achieved a significant methodological advance by developing codebooks for empirical analysis utilizing the App Store. This approach validated the framework’s dimensions on 8,524 reviews, demonstrating the framework’s applicability to platform-based apps and identifying critical areas for future research. Combining academic insights with practical findings, this research provides comprehensive guidance for developing and evaluating user-centered mobile government apps, facilitating improved service delivery and alignment with user expectations. Y1 - 2024 SN - 978-3-031-68210-0 SN - 978-3-031-68211-7 U6 - https://doi.org/10.1007/978-3-031-68211-7_10 SP - 122 EP - 129 PB - Springer CY - Cham ER - TY - CHAP A1 - Diaz Ferreyra, Nicolás Emilio A1 - Shahi, Gautam Kishore A1 - Tony, Catherine A1 - Stieglitz, Stefan A1 - Scandariato, Riccardo ED - Schmidt, Albrecht ED - Väänänen, Kaisa ED - Goyal, Tesh ED - Kristensson, Per Ola ED - Peters, Anicia T1 - Regret, delete, (do not) repeat BT - an analysis of self-cleaning practices on twitter after the outbreak of the covid-19 pandemic T2 - Extended abstracts of the 2023 CHI conference on human factors in computing systems N2 - 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. KW - privacy KW - self-disclosure KW - online regrets KW - deleted tweets KW - crisis communication KW - COVID-19 Y1 - 2023 SN - 978-1-45039-422-2 U6 - https://doi.org/10.1145/3544549.3585583 SP - 1 EP - 7 PB - ACM CY - New York, NY ER - TY - CHAP A1 - Kocur, Alexander A1 - Clausen, Sünje A1 - Hofeditz, Lennart A1 - Brünker, Felix A1 - Fromm, Jennifer A1 - Stieglitz, Stefan T1 - Fighting false information BT - designing a conversational agent for public sector organizations T2 - ECIS 2023 research-in-progress papers N2 - 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. KW - false information KW - conversational agents KW - crisis communication KW - media literacy Y1 - 2023 UR - https://aisel.aisnet.org/ecis2023_rip/65 PB - AIS Electronic Library (AISeL) CY - [Erscheinungsort nicht ermittelbar] ER - TY - CHAP A1 - Desel, Jörg A1 - Opel, Simone A1 - Siegeris, Juliane A1 - Draude, Claude A1 - Weber, Gerhard A1 - Schell, Timon A1 - Schwill, Andreas A1 - Thorbrügge, Carsten A1 - Schäfer, Len Ole A1 - Netzer, Cajus Marian A1 - Gerstenberger, Dietrich A1 - Winkelnkemper, Felix A1 - Schulte, Carsten A1 - Böttcher, Axel A1 - Thurner, Veronika A1 - Häfner, Tanja A1 - Ottinger, Sarah A1 - Große-Bölting, Gregor A1 - Scheppach, Lukas A1 - Mühling, Andreas A1 - Baberowski, David A1 - Leonhardt, Thiemo A1 - Rentsch, Susanne A1 - Bergner, Nadine A1 - Bonorden, Leif A1 - Stemme, Jonas A1 - Hoppe, Uwe A1 - Weicker, Karsten A1 - Bender, Esther A1 - Barbas, Helena A1 - Hamann, Fabian A1 - Soll, Marcus A1 - Sitzmann, Daniel ED - Desel, Jörg ED - Opel, Simone ED - Siegeris, Juliane T1 - Hochschuldidaktik Informatik HDI 2021 BT - 9. Fachtagung des GI-Fachbereichs Informatik und Ausbildung/Didaktik der Informatik 15.–16. September 2021 in Dortmund T2 - Commentarii informaticae didacticae N2 - Die Fachtagungen HDI (Hochschuldidaktik Informatik) beschäftigen sich mit den unterschiedlichen Aspekten informatischer Bildung im Hochschulbereich. Neben den allgemeinen Themen wie verschiedenen Lehr- und Lernformen, dem Einsatz von Informatiksystemen in der Hochschullehre oder Fragen der Gewinnung von geeigneten Studierenden, deren Kompetenzerwerb oder auch der Betreuung der Studierenden widmet sich die HDI immer auch einem Schwerpunktthema. Im Jahr 2021 war dies die Berücksichtigung von Diversität in der Lehre. Diskutiert wurden beispielsweise die Einbeziehung von besonderen fachlichen und überfachlichen Kompetenzen Studierender, der Unterstützung von Durchlässigkeit aus nichtakademischen Berufen, aber auch die Gestaltung inklusiver Lehr- und Lernszenarios, Aspekte des Lebenslangen Lernens oder sich an die Diversität von Studierenden adaptierte oder adaptierende Lehrsysteme. Dieser Band enthält ausgewählte Beiträge der 9. Fachtagung 2021, die in besonderer Weise die Konferenz und die dort diskutierten Themen repräsentieren. T3 - Commentarii informaticae didacticae (CID) - 13 KW - Hochschuldidaktik KW - Informatikdidaktik KW - HDI KW - Hochschullehre KW - digitale Hochschullehre KW - Diversität KW - Heterogenität KW - Lebenslanges Lernen KW - Informatikstudium KW - Didaktische Konzepte KW - Assessment Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-565070 SN - 978-3-86956-548-4 SN - 1868-0844 SN - 2191-1940 IS - 13 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - CHAP A1 - Rojahn, Marcel A1 - Gronau, Norbert T1 - Digital platform concepts for manufacturing companies BT - a review T2 - 10th International Conference on Future Internet of Things and Cloud (FiCloud) N2 - 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. Y1 - 2023 SN - 979-8-3503-1635-3 U6 - https://doi.org/10.1109/FiCloud58648.2023.00030 SP - 149 EP - 158 PB - IEEE CY - [Erscheinungsort nicht ermittelbar] ER - TY - CHAP A1 - Böhme, Lukas A1 - Wuttke, Tobias A1 - Bender, Benedict A1 - Teusner, Ralf A1 - Baltes, Sebastian A1 - Matthies, Christoph A1 - Perscheid, Michael T1 - From full-fledged erp systems towards process-centric business process platforms T2 - Twenty-ninth Americas Conference on Information Systems, Panama, 2023 N2 - 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. KW - ERP system KW - enterprise system KW - business process platform Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2306.02995 PB - arXiv.org, Cornell University CY - Ithaca, NY ER -