TY - JOUR A1 - Franz, Robert U. A1 - Khatami, Pouyan T1 - SAP-Ausbildung - Digitalisierung und Pandemie als Herausforderung JF - ERP Management N2 - Unternehmen und Unternehmens-IT stehen im Zeitalter der Digitalisierung vor großen Umbrüchen. Geschäftsprozesse und die eingesetzten IT-Systemlandschaften verändern sich im schnellen Takt, teilweise werden erprobte Geschäftsmodelle disruptiv durch völlig neue Technologien ergänzt oder gar ersetzt. Dieses schnelllebige Umfeld erfordert eine intensive und qualitativ hochwertige Ausbildung der Mitarbeiter. Präsenzschulungen sind in Zeiten der Corona-Pandemie aber schwer zu realisieren. Wie eine praxisnahe und Fallstudien-basierte Ausbildung im ERP-Kontext trotzdem möglich ist, zeigt das E-Learning-basierte Programm erp4students der Technischen Hochschule Brandenburg am Beispiel von 13 Modulen im Umfeld neuester SAP-Technologien. Y1 - 2020 U6 - https://doi.org/10.30844/ERP_20-4_53-55 SN - 1860-6725 N1 - Band: 4 IS - 16/2020 SP - 53 EP - 55 PB - GITO mbH Verlag ER - TY - CHAP A1 - Scheeg, Jochen A1 - Scheeg, Michaela A1 - Thimm, Tobias ED - Bosse, Christian K. T1 - Die Digitalisierung nutzerzentriert gestalten: Das digitale Kontrollzentrum für die Warenannahme T2 - Arbeit 4.0 im Mittelstand KW - Arbeitswelt KW - Digitalisierung Y1 - 2019 SN - 978-3-662-59473-5 (Print) SN - 978-3-662-59474-2 (Online) U6 - https://doi.org/10.1007/978-3-662-59474-2_14 SP - 239 EP - 251 PB - Springer Gabler CY - Berlin ER - TY - JOUR A1 - Scheeg, Jochen A1 - Scheeg, Manuela T1 - Digitale Lösungen passend für den Nutzer gestalten JF - Wissenschaft trifft Praxis : Usability betrieblicher IT-Anwendungen Y1 - 2019 SN - 2198-8544 IS - 11.2019 SP - 32 EP - 38 PB - Begleitforschung Mittelstand-Digital ER - TY - CHAP A1 - Bollow, Maximilian A1 - Frosch, Katharina A1 - Grunz, Angelina A1 - Hädicke, Svenja A1 - Judge, Rabina A1 - Levina, Olga T1 - Using Advanced Learning Technologies to Boost Sustainability Education: The Role of AI-based Chatbots T2 - EDEN 2024 Annual Conference, University of Graz, Graz, Austria, 2024 N2 - In the face of the 2030 Agenda of the United Nations, the everchanging knowledge base of sustainability and therelated learning become vital. This applies especially to the field of sustainable digitalization. The literature providesgaps in the combination of sustainable digitalization with learning, due to the rapid developments and innovationsin this field.AI-based Chatbots could be a solution to rapidly build knowledge in this fast-evolving field, as they are able to drawupon a large body of recent knowledge and allow personalized, individual learning. They are created to understandquestions and respond to users via text, voice, or avatar in an interactive manner to facilitate learning (AI-Abdullatif,2023). Thus, AI-based Chatbots could enhance student-centered e-learning, which has shown to be a valuable toolfor sustainability literacy (Diamond & Irwin, 2013). Nonetheless, existing research does not yet provide sufficientevidence on what learning outcomes (e.g., knowledge acquisition) can be achieved with this AI-based approach tolearning. Therefore, it is crucial for us to determine whether and how they can be effectively utilized for this purpose.In this study, we examine the impact of AI-based Chatbots on learning outcomes in the context of sustainabledigitalization, in comparison to conventional digital learning methods. We conduct a field experiment with a pre-and post-test assessing the respective level of knowledge and sustainability-related competencies amongparticipants. The participants of the study (N=269) engage with different types of supported learning activitiesrelated to sustainable development. Participants are randomly assigned to one of four advanced learningtechnologies: a) AI-assisted personal tutoring (Chatbot), b) non-AI-based conversational learning and c) interactivevideo with embedded activities. Variations in learning outcomes depending on design characteristics of the learningactivity will be measured using the Self-Perceived Action Competence for Sustainability Questionnaire (SPACS-Q)(Olsson et al., 2020) as well as as well as a set of questions to assess knowledge retention.Results indicate that AI-based chatbots may be a viable method to enhance knowledge about practices in sustainabledigitalization. However, sustainability action competencies, such as confidence in one's own influence on shaping amore sustainable future and the willingness to undertake concrete actions, which may require higher-order learningprocesses, are not positively affected by short learning activities with our AI-based chatbot. We found evidence thatnon-AI-based learning activities yield similar increases in building knowledge on sustainable digitalization but alsosignificantly enhance sustainability action competencies related to potential behavioral changes.What does learner-centered pedagogy look like in reimagining the digital classroom of the future?93Assuming that our results are generalizable to other learning topics, the evidence found in this study suggests thatAI-based chatbots can contribute to addressing our most significant transformational challenges, all characterizedby a rapidly evolving knowledge base. Further research is particularly needed with respect to the preferable designcharacteristics of digital learning activities (both AI-based and non-AI-based) to achieve optimal outcomes in buildingsustainability competencies. Y1 - 2024 UR - https://repositorio-aberto.up.pt/bitstream/10216/159440/2/678463.pdf#page=104 SP - 92 EP - 93 ER - TY - BOOK A1 - Franz, Robert U. T1 - PreLytica - Analysen und Ergebnisse Y1 - 2019 UR - https://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=8&ISBN=978-3-8440-7067-5&search=yes SN - 978-3-8440-7067-5 IS - 2 PB - Shaker Verlag CY - Aachen ET - 1. ER - TY - CHAP A1 - Franz, Robert U. A1 - Khatami, Taymaz T1 - erp4students von SAP ERP zu SAP S/4HANA T2 - Proceedings SAP Acadmic User Group Meeting 2019 Y1 - 2019 SN - 978-3-200-06598-7 N1 - Gehört zu Reihe: Proceedings SAP Academic User Group Meetings PB - TU Wien CY - Wien ER - TY - CHAP A1 - Frosch, Katharina A1 - Lindauer, Friederike A1 - Winkel, Carmen T1 - Utilizing Chatbots for Automating Examinations in Higher Education: Perceived Fairness, Trust and Learning Outcomes T2 - EDEN 2024 Annual Conference, University of Graz, Graz, Austria, 2024 N2 - Large Language Models (LLM) are increasingly used to support educational assessment (González-Calatayud et al.,2021), offering a promising approach to addressing challenges associated with scalability, consistency, andpersonalized feedback that manual assessment implies (Fagbohun et al., 2024).Pre-configured interfaces for building custom chatbots based on common AI models provide a low-level approachfor educators to design their own AI-based examination tools that ask learners questions and provide feedback onthe answers. An example of a prototypical application - albeit based on a self-programmed interface - is Nitze's(2024) StudyBuddy, which simulates oral exams. Yet, the extent to which these AI-based exam assistants canautonomously conduct complete exam assessments—creating questions and evaluating and grading responseswithout manual oversight—is still largely unexplored. Despite the clear advantages, issues related to the quality ofthe generated content, the precision of assessments, ethical implications, and acceptance among learners persist assignificant concerns.This paper is a proof-of-concept study combined with a field experiment for an AI-based exam assistant based onthe StudyBuddy suggested by Nitze (2024). The exam assistant provides students with a set of quiz questions andcase studies based on an 80-page reader on topics in organizational behavior, offering personalized feedback andquestion-by-question scoring ranging from 0 to 100%, along with an overall grade and personalized feedback. Toevaluate learning behavior and outcome (in the practice phase), perceived fairness (in the exam phase) and overalllearner acceptance, we run a field experiment with N=35 students enrolled in a business management program at atechnical university in Germany. They take part in a quiz assignment provided and graded by the exam assistant andsubsequently answer a survey with questions based on the Perceived Fairness scale (Sonnleitner & Kovacs, 2020)and the Trust in Automated Systems Test (Wojton et al., 2020). Additionally, the learning outcomes are assessed ina retrospective pre-post design according to Drennan and Hyde (2008). Results will be available by the End of April2024.Insights gained from this study will shed light on the question whether custom chatbots can be effectively used forscalable, efficient assessment processes in higher education. As the ready-made interfaces already available requireminimal prerequisites and technical skills, they present an accessible opportunity for instructors to develop theirown AI-based examination tools, and to ease manual corrections, to guarantee consistent grading and to providestudents with individualized, constructive feedback on their solutions even in large courses where personalizedfeedback would not be possible when manual grading is used.The results of this study will shed light on whether customised chatbots can be effectively used for scalable, efficientassessment processes in higher education. The readily available interfaces, requiring minimal prerequisites andHow do we promote fairness in digital learning futures?22technical skills, enable educators to develop their own AI-based assessment tools. This would open opportunitiesfor educators to build their own AI-based assessment tools and facilitate manual corrections, ensure consistentgrading and provide students with individualised, constructive feedback, even in large courses where personalisedfeedback would not be possible with manual grading. Y1 - 2024 UR - https://repositorio-aberto.up.pt/bitstream/10216/159440/2/678463.pdf#page=104 SP - 21 EP - 22 ER - TY - INPR A1 - Wendzel, Steffen A1 - Caviglione, Luca A1 - Mazurczyk, Wojciech A1 - Mileva, Aleksandra A1 - Dittmann, Jana A1 - Krätzer, Christian A1 - Lamshöft, Kevin A1 - Vielhauer, Claus A1 - Hartmann, Laura A1 - Keller, Jörg A1 - Neubert, Tom A1 - Zillien, Sebastian T1 - A Generic Taxonomy for Steganography Methods N2 - A unified understanding of terms and their applicability is essential for every scientific discipline: steganography is no exception. Being divided into several domains (for instance, text steganography, digital media steganography, and network steganography), it is crucial to provide a unified terminology as well as a taxonomy that is not limited to some specific applications or areas. A prime attempt towards a unified understanding of terms was conducted in 2015 with the introduction of a pattern-based taxonomy for network steganography. Six years later, in 2021, the first work towards a pattern-based taxonomy for steganography was proposed. However, this initial attempt still faced several shortcomings, e.g., the lack of patterns for several steganography domains (the work mainly focused on network steganography and covert channels), various terminology issues, and the need of providing a tutorial on how the taxonomy can be used during engineering and scientific tasks, including the paper-writing process.
As the consortium who published this initial 2021-study on steganography patterns, in this paper we present the first comprehensive pattern-based taxonomy tailored to fit all known domains of steganography, including smaller and emerging areas, such as filesystem steganography and cyber-physical systems steganography. Besides, to make our contribution more effective and promote the use of the taxonomy to advance research on steganography, we also provide a thorough tutorial on its utilization.
Our pattern collection is available at https://patterns.ztt.hs-worms.de.
Y1 - 2023 U6 - https://doi.org/10.36227/techrxiv.20215373.v1 ER - TY - INPR A1 - Frosch, Katharina T1 - Open Design of HRM Instruments: new perspectives on people management in SMEs N2 - When it comes to human resource management (HRM), small and medium-sized enterprises (SMEs) primarily rely on informal approaches. Thereby, HR practitioners often listen to their guts feeling instead of using more systematic HR practices that are, as research evidence shows, more effective for attracting, motivating and retaining talented staff. This paper elaborates on the question how SMEs may profit from the design and implementation of evidence-based, systematic HRM instruments. The analysis focuses on the antecedents of the so called science-practitioner gap in HRM and why it is even more pronounced in SMEs as compared to larger companies. As a conclusion, we find that SMEs need to design HRM instruments that are systematic and evidence-based in their approach, but can be used by HR practitioners on an intuitive basis without ex ante training or cumbersome formal procedures. However, designing HRM instruments based on a so-called "walk-up-and-use" approach means beating new paths. Given the scarce resources for people management in SMEs, such innovative HRM instruments cannot be developed by a single SME alone. Therefore, the paradigm of open cooperation as it has been successfully applied in open source software (OSS) development is evaluated , in particular whether it can be transferred on the design of HRM instruments that take into account the specific needs of SMEs. First of all, we conceptualize a general framework how HR practitioners from SMEs and HR experts from business and academia can jointly develop Open HRM instruments. Then we discuss the social side of Open HRM, in particular why someone should contribute to Open HRM without receiving immediate profits, how to ensure the quality of openly developed HRM instruments and other gov-ernance issues. As a conclusion, we find that-despite a number of technical and social challenges that have to be overcome-Open HRM has a great potential in order to open up evidence-based HRM for SMEs. Y1 - 2019 SP - 1 EP - 35 ER - TY - CHAP A1 - Levina, Olga A1 - Mattern, Saskia T1 - Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System T2 - Recommender Systems: Legal and Ethical Issues N2 - Laws are the reflection of the ethical and moral principles of the society. While the use of technology influences users’ behavior in a pace that is affected by the technology introduction to the market, legal activities can be driven by the society as the results of such interactions. This scenario analysis- based research focuses on a classic but fictional food recommender system and the ethical issues that might occur from its usage. The recommender system is taken here as an example of machine learning-based systems (MLS) that can often be found in the individual, business and administrative applications. The research compares the existing legal solutions, with the focus on the GDPR legislation, and the discovered ethical issues. The ethical analysis is led along the ALTAI principles suggested by the European Commission, the common good approach as well as the general principles constituted in human rights. While the GDPR-based analysis showed that this data- and privacy-based legislation addressed most of the identified ethical issues, questions related to the common good approach in the context of environment and mobility that arise due to the wide spectrum of the MLS usage require further legal discussion. The application of the two approaches shows that conducting the ethical and legal analysis is beneficial for both the designers of such MLS as well as the legal actors. The findings can enhance the design and functions of a user-facing MLS as well as influence or validate legal activities. Y1 - 2023 SN - 978-3-031-34806-8 SN - 978-3-031-34804-4 U6 - https://doi.org/10.1007/978-3-031-34804-4_9 SP - 165 EP - 185 ER - TY - JOUR A1 - Lamshöft, Kevin A1 - Neubert, Tom A1 - Hielscher, Jonas A1 - Vielhauer, Claus T1 - Knock, knock, log: Threat analysis, detection & mitigation of covert channels in syslog using port scans as cover JF - Forensic Science International: Digital Investigation Y1 - 2022 U6 - https://doi.org/10.1016/j.fsidi.2022.301335 SN - 2666-2817 VL - 40 PB - Elsevier ER - TY - GEN A1 - Levina, Olga T1 - Maschinelles Lernen: Vertrauenswürdigkeit und Verantwortung der Nutzenden Y1 - 2021 UR - https://www.researchgate.net/publication/351415545_Maschinelles_Lernen_Vertrauenswurdigkeit_und_Verantwortung_der_Nutzenden ER - TY - JOUR A1 - Levina, Olga T1 - Von Ethik zu Recht : Der AI Act und seine Bedeutung für die Gestaltung von algorithmischen Systemen JF - Informatik aktuell Y1 - 2021 UR - https://www.informatik-aktuell.de/betrieb/kuenstliche-intelligenz/von-ethik-zu-recht.html#top SN - 2511-7564 PB - Alkmene Verlag ER - TY - CHAP A1 - Levina, Olga T1 - Digitale Vernetzung in der E-Mobilität T2 - Mobility2Grid - Sektorenübergreifende Energie- und Verkehrswende Y1 - 2021 UR - https://link.springer.com/chapter/10.1007/978-3-662-62629-0_5 SN - 978-3-662-62628-3 U6 - https://doi.org/10.1007/978-3-662-62629-0_5 SP - 145 EP - 179 PB - Springer Vieweg CY - Berlin, Heidelberg ER - TY - CHAP A1 - Kevin, Lamshöft A1 - Hildebrandt, Mario A1 - Altschaffel, Robert A1 - Keil, Oliver A1 - Hempel, Ivo A1 - Dittmann, Jana A1 - Neubert, Tom A1 - Vielhauer, Claus T1 - Resilience against and detection of information hiding in nuclear instrumentation and control systems within the scope of NSS 17-T T2 - Kerntechnik 2022, Leipzig, 21. - 22. Juni 2022 Y1 - 2022 UR - https://www.kerntechnik.com PB - INFORUM Verlags- und Verwaltungsgesellschaft mbH CY - Berlin ER - TY - BOOK A1 - Teuber, Stephan A1 - Nagel, Michael A1 - Mieke, Christian T1 - Personal und Organisation BT - die wichtigsten Methoden KW - Personalorganisation KW - Prozessmanagement KW - Unternehmen Y1 - 2021 SN - 978-3-7398-3127-5 (Print) SN - 978-3-7398-8127-0 (ePDF) SN - 978-3-7398-0149-0 (ePub) PB - UVK Verlag CY - Tübingen ER - TY - BOOK A1 - Nagel, Michael A1 - Mieke, Christian A1 - Teuber, Stephan T1 - Methodenhandbuch der Betriebswirtschaft Y1 - 2020 SN - 978-3-8252-8761-0 U6 - https://doi.org/10.36198/9783838587615 PB - UVK Verlag CY - München ET - 2. ER - TY - JOUR A1 - Mieke, Christian T1 - Folgenabschätzung bei Innovation, Technologie und Management JF - Ideen- und Innovationsmanagement N2 - Menschen in Organisationen treffen Entscheidungen. In der Regel wird ein Ziel angestrebt und die Entscheidung soll Maßnahmen in Gang bringen, welche die Erreichung des Ziels befördern. Den finalen Entscheidungen gehen Prozesse voraus, welche die Entscheidungsfindung vorbereiten. In diesem Rahmen werden etwaige Kon strukte – wie Handlungen, Technologien, Produkte, Verfahren, Steuerungssysteme – in Bezug auf ihren Beitrag zur Zielerreichung bewertet. Nun ist es nicht neu, dabei eine ganzheitliche Bewertung anzumahnen und nicht nur auf eine Wirkung zu blicken. Dennoch erhält man oft den Eindruck, dass im Rahmen von Entscheidungsfindungen in Politik, Gesellschaft, öffentlichen Institutionen aber eben auch Unternehmen zu wenig auf etwaige weitere Neben- und Folgewirkungen von Entscheidungen geblickt wird. Daher wird gefragt, ob die Grundidee des Ansatzes der Technologiefolgenabschätzung hilfreiche Instrumente bietet, welche die Entscheidungsprozesse in den betrieblichen Feldern Innovation, Technologieentwicklung und Management anreichern können. Y1 - 2019 SN - 978-3-503-18770-6 U6 - https://doi.org/10.37307/j.2198-3151.2019.04.03 IS - 4 SP - 112 EP - 115 PB - Erich Schmidt ER - TY - JOUR A1 - Nagel, Michael A1 - Schminder, Christian A1 - Mieke, Christian ED - Erich Schmidt Verlag, T1 - Sachbezogenes Verhandeln als Methode im Zielbildungsprozess von innovationsorientierten Public Private Partnerships. JF - Ideen- und Innovationsmanagement Y1 - 2023 U6 - https://doi.org/10.37307/j.2198-3151.2022.02.07 SN - 2198-3151 IS - 2 SP - 72 EP - 77 PB - Erich Schmidt Verlag GmbH & Co ER - TY - GEN A1 - Weber, Simon A1 - Stein, Stefan A1 - Pilgermann, Michael A1 - Schrader, Thomas T1 - Attack Detection for Medical Cyber- Physical Systems - The Visualization N2 - Attack Detection for Medical Cyber-Physical Systems - The Visualization KW - Detection KW - IDS KW - intrusion prevention KW - medical cyber-physical systems KW - medical CPS Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:522-opus4-29142 ER - TY - RPRT A1 - Maurer, Robert A1 - Johannsen, Andreas A1 - Pochanke, Oliver T1 - Analyse der Trends und Alternativen zur Online-Präsenz als Kommunikationskanal von kleinen und mittleren Unternehmen durch den Einsatz von Plattformen BT - Ergebnisse einer Studie durch das Institut für Betriebliche Integration und Digitalisierung (IBID) am Fachbereich Wirtschaft der Technischen Hochschule Brandenburg T2 - Schriften des Instituts für Betriebliche Integration und Digitalisierung (IBID) N2 - Die Digitalisierung ist eine der Herausforderungen der heutigen Zeit. Einhergehend mit der Zunahme der Nutzung des Internets in vielen Lebensbereichen steigt auch die Wichtigkeit für Unternehmen, einen repräsentativen Auftritt zu etablieren. Für kleine und mittlere Unternehmen bedeutet das Betreiben und Pflegen einer Onlinepräsenz oftmals einen hohen finanziellen und zeitlichen Aufwand. Ziel des vorliegenden Arbeitspapiers ist es, kleinen und mittleren Unternehmen eine Alternative zu herkömmlichen Content Management Systemen darzulegen und sie bei der Entscheidungsfindung zu unterstützen. Zur Beantwortung der Forschungsfragen wurde der methodische Ansatz einer Literatur- und Internetrecherche verwendet. Aus der Analyse konnten drei Online Business Plattformen identifiziert, sowie deren Vor- und Nachteile gegenüber Content Management Systemen dargestellt werden. Anschließend wurden Kriterien definiert und Empfehlungen dargelegt, welche kleine und mittlere Unternehmen im Entscheidungsprozess unterstützen sollen. Letztlich wurden die Einrichtung sowie die wichtigsten Funktionen einer Plattform dargestellt. Die Ergebnisse zeigen, dass die Nutzung einer Onlineplattform für lokal begrenze Unternehmen mit geringen Anforderungen an die Funktionalität und hoher Kostensensibilität eine sinnvolle Alternative ist. Abschließend wurde anhand des realen Fallbeispiels „Google My Business“ (seit 2022: „Google Business Profile“) auf die Funktionen sowie Vorteile und Möglichkeiten einer solchen Plattform eingegangen. N2 - Digitalization is one of the big challenges of our time. Along with the increased online life, the importance for companies to establish a representative online presence is growing as well. Especially for small and medium size companies, the operation and maintenance of an online presence means a high effort in terms of time and financial investment. The aim of this study is to provide an alternative to common content management systems for small medium size companies. In addition, they should be supported in the decision making process. To answer the research questions the methodical approach of a literature and internet research was used. From the analysis, three online business platforms were identified and their advantages and disadvantages compared to content management systems were presented. Subsequently, criteria were defined and recommendations were presented, which should support small and medium-sized enterprises in the decision-making process. Finally, the setup as well as the most important functions of a platform were presented. The results show that the use of an online platform is a sensible alternative for locally limited companies with low functionality requirements and high cost sensitivity. Finally, the functions as well as advantages and possibilities of such a platform were discussed on the basis of the real case study "Google My Business" (since 2022: "Google Business Profile") T3 - Schriften des Instituts für Betriebliche Anwendungssysteme - 23/1 KW - Digitalisierung KW - KMU KW - Google Business Profile KW - Online Präsenz KW - Online Plattformen KW - Online-Marketing KW - Geschäftsmodell KW - Plattform