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    Von Ontologien, Web-Anwendungen und KI-Algorithmen

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    Im diesen Buch aus der Reihe „Die besten Bachelorthesen“ finden sich 6 herausragende Bachelorthesen von 6 Informatik-Studierenden des Jahrgangs 2020, Fachbereich Duales Studium der HWR Berlin, die im Jahr 2023 verteidigt wurden. Die dargestellten Themen erstrecken sich von Algorithmen künstlicher Intelligenz, über Schnittstellenentwicklung und Ontologien bis hin zur Erstellung eines Authentifizierungskonzepts und finden Anwendung in unterschiedlichsten Sachgebieten wie der Medizin, Linguistik, Materialanalyse oder der öffentlichen Verwaltung. Mit dem Buch möchten die Herausgeber*innen den hervorragenden Arbeiten der Absolvent*innen eine Bühne bieten und deren Leistungen einem breit gefächerten Publikum aus Unternehmensvertreter*innen, Studierenden, Studieninteressierten, wissenschaftlichen Tätigen und vielen mehr zur Verfügung zu stellen

    Digitalisierung und Nachhaltigkeit

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    Die Texte dieser Reihe resultieren aus Forschungsarbeiten von Studierenden des dualen Masters Digitale Transformation an der Berlin Professional School. Die ausgewählten Arbeiten zeichnen sich durch kreative Themenwahl, Innovationsfreudigkeit und methodische Korrektheit aus und wurden vor der Veröffentlichung auf einer Studierendenkonferenz präsentiert. Sie setzen sich mit aktuellen Fragen der nachhaltigen Gestaltung von Digitalisierung in verschiedenen öffentlichen und unternehmerischen Bereichen auseinander und zeigen, dass die Digitalisierung eine Schlüsselrolle für nachhaltige Entwicklung spielt

    Sabbatical Research Project “AI promises, fallacies, and pitfalls: Inhibitors and stepping-stones for progress in Artificial Intelligence”—Final Report

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    This report presents the research project titled AI promises, fallacies, and pitfalls: Inhibitors and stepping-stones for progress in Artificial Intelligence. It was conducted during a sabbatical term in the winter of 2022 (and beyond), and was torpedoed by many other activities and responsibilities typical to academic life. Several publications accompanied by other research activities originated as a result, though, drops in a sea of efforts to deconstruct the AI hype, burst its scifi bubble, and provide knowledgeable account to make informed decisions about AI. This is not a research paper. It is not a literature review either, nor an opinion piece. Related and own work, abundant literature references, and theoretical analyses can be found in each of the publications that resulted from the research project. I intentionally chose to avoid repetitions or produce a new research paper here. The reader is referred to the sections below that briefly comment the most relevant results, or to read the actual publications. Finally, and very important to disclose straight from the start: no single word from this report nor from any other of my publications to date has been written with the “help” of AI, for reasons amply discussed in the papers introduced in Sections 4.4 and 4.5 below, among others. If there were something AI could undoubtedly help me with when writing, it would be with preventing my voice and ideas from being heard or read, deskilling me by confounding what is what I can or could think, tell, or write with what others have already said or written (a special feature of current generative AI), giving me the illusion of understanding what the technology has (not) experienced, and going with the massive AI-illiterate flow as a consequence. A resolute NO from me. The reader can continue reading to know about other whys

    AI in returns management: Reducing e-commerce returns with the support of Artificial Intelligence in the German textile sector.

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    This study investigates the impact of artificial intelligence (AI) on reducing return occurrences in e-commerce, within the German textile sector. As online retail sales in Germany have surged to €99.1 billion in 2022 (Lohmeier, 2024), the challenge of managing returns has become increasingly significant, particularly in the fashion industry where return rates often exceed 50% (Ntemiris, 2023). The research seeks to address the question: To what extent do AI-enabled approaches impact the reduction of return occurrences in the context of returns management? Employing a deductive empirical approach (Pfeiffer, 2022a), the study conducts qualitative semi-structured interviews with ten experts in AI and technology along with interviews with three AI language models. This methodology bridges the gap between theoretical frameworks and practical applications of AI in returns management (Lettau & Breuer, n.d.). The research delves into AI technologies, such as machine learning, natural language processing in returns management strategies (Deges, 2017; Asdecker, 2014). Key findings indicate that AI-enabled approaches have significant potential to reduce return rates through improved product recommendations, virtual try-on technologies, and predictive analytics (Yang et al., 2022; Maisuradze, 2023). The study also highlights challenges in implementing AI solutions, including data privacy concerns and ethical considerations (Kitzmann, 2022). This research adds to the growing body of knowledge on AI applications in e-commerce and provides practical insights for retailers seeking to optimize their returns management processes. It offers a foundation for future studies on the integration of AI technologies in retail operations and suggests strategies for enhancing operational efficiency and sustainability in returns management practices (Sucky & Asdecker, 2022)

    Internationaler Menschenrechtsschutz in der Polizeipraxis

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    Racial Profiling durch die Polizei wird in Gesellschaft und Politik, aber auch innerhalb der Polizei, kontrovers diskutiert. Dabei spielen antidiskriminierungsrechtliche Vorschriften des Völkerrechts nur eine untergeordnete Rolle. Der Ausschuss für die Beseitigung der Rassendiskriminierung auf der Grundlage des Internationalen Übereinkommens zur Beseitigung jeder Form von Rassendis-kriminierung (CERD) hat sich ausführlich mit sogenannten Rassenprofilen und deren Auswirkun-gen beschäftigt. Auf dieser Grundlage hat er die Allgemeine Empfehlung Nr. 36 für die Beseiti-gung der Rassendiskriminierung über die Verhütung und Bekämpfung der Praxis des Racial Profi-ling durch Polizei- und andere Vollzugsbehörden erarbeitet. Inhalt, Reichweite und Bedeutung dieser Empfehlungen werden im vorliegenden Arbeitspapier erläutert. Es will dazu beitragen, Entscheidungsunsicherheiten zu überwinden. Gleichzeitig wird aufgezeigt, welche wichtige Rolle die Entscheidungen der UN Menschenrechtsausschüsse für die Entwicklung und Umsetzung poli-zeilicher Handlungsstrategien haben können

    Meeting economic and social viability goals in regional airline schemes through hub-and-spoke network connectivity

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    We examine the viability of regional connectivity schemes by considering both social and economic objectives. In India the scheme is called UDAN (loosely translated affordable air travel) which is designed to include economically backward communities in India into the air travel grid. Using secondary data sources from the airline sector in India, and qualitative interviews of knowledgeable personnel in the airline industry, we demonstrate the importance of hub-and-spoke network design in comparison to point-to-point connectivity for regional connectivity networks. Specifically, we develop Viable Hub Location Problem for Regional Connectivity (VHLPRC) for resilience and sustainability through bilevel optimization with single leader and two independent followers. We test our proposed approach using datasets from USA and India. Our analyses suggest strategically choosing primary hubs and re-routing traffic through regional hubs for long-term commercial viability or survivability of regional connectivity schemes. The introduction of regional hubs had mixed effects. On the positive side, it improved reach, albeit at considerable (hidden) costs. On the negative side, several sub-programs had to be abandoned for a variety of reasons, including lack of demand traffic. The lessons learned from this study inform policy makers, academics, and practicing managers on how to remain viable and sustain operations in regional connectivity schemes. With the introduction of social variables, commercial viability has been shown to face specific real-life challenges. An attempt to help solve these problems is also presented in this paper through risk reduction, capacity augmentation, and by continuing fare subsidies

    Global solar photovoltaic industry network dynamics 2007–2023. Inter-organizational relationships as a source of competitive advantage?

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    Aiming a cleaner production in course of fighting the ongoing global warming, solar photovoltaic (PV) together with wind and hydro energy, indicate the most important industry segments in the transformation from fossils to renewable energy sources. During the last two decades, the solar PV industry experienced decisive changes of its global business network configurations where Chinese firms comparatively have gained competitive advantages. According to the business network theory, inter-organizational relationships indicate important vehicles for exchanging valuable resources such as advanced technology and privileged market knowledge aiming to gain leading industry positions. Based on a sample of globally leading solar PV manufacturers originated in Canada, China, Germany, South Korea, and the United States of America we conduct a detailed analysis and provide insights into solar PV industry upstream and downstream network dynamics examined for the period 2007–2023. We found that Chinese firms have focused more on upstream industry network relationships compared to their Western counterparts. Thus, we emphasize on the importance of building competitive regional solar PV industry networks instead of relying only on government subsidies which often come along with rather short-term effects

    The value of national defense: Assessing public preferences for defense policy options

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    Defense spending accounts for a large share of the budget in many countries, but the value of the resulting public good – national defense – has so far escaped assessment. Much of the literature has instead considered indirect benefits of defense spending in terms of greater economic growth or technological spillovers. In this paper, we assess the direct welfare effects of defense policy, namely an increase in the security of citizens, by means of a survey-based discrete choice experiment. Drawing on a representative sample of the German population, results suggest substantial willingness to pay for an increase in troop numbers, the establishment of a European army and an improved air defense system. The reintroduction of compulsory military service does not enjoy public support. Results further indicate substantial preference heterogeneity across respondents and policy options which we explore. As such, these findings demonstrate how methods of survey-based, non-market valuation can help to refine research in this area of public policy

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