https://hdl.handle.net/10419/229133 2026-10-23T01:14:59Z https://hdl.handle.net/10419/339607 Title: Künstliche Intelligenz in Kommunen: Chancen, Herausforderungen und Förderbedarf für die Digitalisierung der Verwaltung. Empirische Ergebnisse zu Akzeptanz, Einsatzfeldern und Praxisbeispielen aus deutschen Gemeinden Authors: Linke, Knut Abstract: This paper investigates the current state and challenges of artificial intelligence (AI) implementation in German municipal administrations. Despite AI's growing relevance in society, empirical insights into its acceptance and use in local government are still scarce. Drawing on a nationwide online survey of citizens and municipal officials (n=142; n=50), the study analyzes perceptions, experiences, and expectations regarding digital and AI-supported services in local administration. Research questions focus on the extent of digital transformation, use cases, acceptance, and perceived barriers among both groups, as well as organizational and regulatory drivers and obstacles. Results show that while AI-based services are widely considered crucial for future municipal operations, their practical application is still limited, often restricted to fields like automated translations or citizen communication. Data protection, lack of information, and organizational hurdles emerge as main barriers. The paper concludes with recommendations, emphasizing the need for clear strategies, targeted training, and regulatory clarity to promote effective and responsible AI adoption at the municipal level. 2026-01-01T00:00:00Z https://hdl.handle.net/10419/343092 Title: KI-Kompetenzen 2026: Welche Fähigkeiten sucht der Arbeitsmarkt? Rollencluster, Skill-Schwerpunkte und Implikationen für Recruiting & Weiterbildung Authors: Zettier, Fabian; Krickel, Frank; Linke, Knut 2026-01-01T00:00:00Z https://hdl.handle.net/10419/343093 Title: Serialization trade-offs in distributed systems: A comparative analysis of JSON, Protocol Buffers, and FlatBuffers under varying width and nesting depth Authors: Haberlah, Johannes; Linke, Knut Abstract: This discussion paper compares three common serialization paradigms - JSON, Protocol Buffers, and FlatBuffers - with respect to latency and space efficiency. Although serialization is central to modern distributed systems, controlled, paradigm-level comparisons remain limited. To address this, the study benchmarks all three formats in Rust while systematically varying record width and nesting depth. Quantitative measurements are complemented by CPU profiling to identify dominant cost drivers. Results show clear patterns: Protocol Buffers achieves the lowest serialization latency and smallest message sizes, FlatBuffers offers the fastest data access due to its zero-copy design, and JSON incurs the highest access costs and largest payloads. Each format therefore excels under different conditions: Protobuf in write-and bandwidth-sensitive scenarios, FlatBuffers in read-dominated contexts, and JSON where readability and flexibility matter. 2026-01-01T00:00:00Z https://hdl.handle.net/10419/311209 Title: Effizientes Projektmanagement in Einer-für-Alle-Nachnutzungsprojekten Authors: Kalchner, Katharina; Allwein, Florian; Krüger, Nicolai Abstract: The digitalization of public services is a critical driver of Germany's competitiveness and future readiness. The "Einer-für-Alle" (EfA) approach, where software is developed by one federal state and implemented by others, exemplifies efforts to streamline public sector digital transformation. However, progress has been hindered by inefficiencies in project management and a lack of tailored methodologies. This study adopts a mixed-method approach, combining quantitative and qualitative research, to develop a comprehensive guideline for project managers engaged in EfA initiatives. By addressing the unique characteristics of the public sector, our framework integrates hybrid project management techniques and contextualized process models. The study not only advances applied research in hybrid project management but also provides practical tools to enhance the efficiency and success of future public service digitalization projects. 2025-01-01T00:00:00Z