@unpublished{KochPargentKleineetal., author = {Koch, Timo and Pargent, Florian and Kleine, Anne-Kathrin and Lermer, Eva and Gaube, Susanne}, title = {A Tutorial on Tailored Simulation-Based Power Analysis for Experimental Designs with Generalized Linear Mixed Models}, series = {PsyArXiv Preprints}, journal = {PsyArXiv Preprints}, doi = {10.31234/osf.io/rpjem}, pages = {39}, abstract = {When planning experimental research, determining an appropriate sample size and using suitable statistical models are crucial for robust and informative results. However, the recent replication crisis underlines the need for more rigorous statistical methodology and well-powered designs. Generalized linear mixed models (GLMMs) offer a flexible statistical framework to analyze experimental data with complex (e.g., dependent and hierarchical) data structures. Yet, available methods and software for a priori power analyses for GLMMs are often limited to specific designs, while data simulation approaches offer more flexibility. Based on a practical case study, the current tutorial equips researchers with a step-by-step guide and corresponding code for conducting tailored a priori power analyses to determine appropriate sample sizes with GLMMs. Finally, we give an outlook on the increasing importance of simulation-based power analysis in experimental research.}, language = {en} } @unpublished{KleineKokjeHummelsbergeretal., author = {Kleine, Anne-Kathrin and Kokje, Eesha and Hummelsberger, Pia and Lermer, Eva and Gaube, Susanne}, title = {AI-Enabled Clinical Decision Support Tools for Mental Healthcare: A Product Review}, series = {OSF Preprints}, journal = {OSF Preprints}, doi = {10.31219/osf.io/ez43g}, pages = {37}, language = {en} } @article{WieschkeSchachtSpensbergeretal., author = {Wieschke, Johannes and Schacht, Diana D. and Spensberger, Florian and Klinkhammer, Nicole and Grgic, Mariana}, title = {Establishing Multi-Perspective Instruments in Early Education during COVID-19: Measuring the Implementation of Protective Measures and the Subjective Level of Information about Pandemic-Related Regulations}, series = {Measurement Instruments for the Social Sciences}, journal = {Measurement Instruments for the Social Sciences}, number = {2022,4}, issn = {2523-8930}, doi = {10.1186/s42409-022-00033-2}, pages = {8}, language = {en} } @masterthesis{Geh, type = {Bachelor Thesis}, author = {Geh, Simon}, title = {Motivations and Implications of the Lufthansa Bailout during the COVID-19 Pandemic}, doi = {10.60524/opus-1479}, pages = {67}, abstract = {The bailout of Lufthansa in June 2020 was subject to controversial debate due to its size and conditions. To better understand the situation, this paper aims to answer the question "What were the motivations and implications of the Lufthansa bailout during the COVID-19 pandemic?" by analyzing Lufthansa's economic environment before and after the crisis. On the basis of projected hypotheses, the impact on the German economy, Lufthansa's operations, as well as similar bailouts during the same period were examined. The findings suggest that engaging in the bailout was the best option for both Lufthansa and the German government with both parties profiting considerably from the deal. More precisely, it was found that: (1) the bailout was realized because Lufthansa was "too big to fail", (2) its employees criticized the cost-saving measures and conditions of the bailout, (3) Lufthansa was able to offset its losses with its cargo and maintenance business and recovered well with the financial support, (4) Lufthansa's performance aided the German economy in its recovery by supporting various economic sectors, (5) public perception of Lufthansa deteriorated following the bailout and travel chaos in 2022, (6) Lufthansa gained a competitive advantage over its competitors who did not receive government support.}, language = {en} } @article{KaplanRakowskiGruber, author = {Kaplan-Rakowski, Regina and Gruber, Alice}, title = {The Impact of High-Immersion Virtual Reality on Foreign Language Anxiety}, series = {Smart Learning Environments}, journal = {Smart Learning Environments}, number = {2023, 10:46}, doi = {10.1186/s40561-023-00263-9}, pages = {18}, language = {en} } @unpublished{DielDoctorReithetal., author = {Diel, S{\"o}ren and Doctor, Eileen and Reith, Riccardo and Buck, Christoph and Eymann, Torsten}, title = {Examining Supporting and Constraining Factors of Physicians' Acceptance of Telemedical Online Consultations: A Survey Study}, doi = {10.21203/rs.3.rs-3129155/v1}, pages = {27}, language = {en} } @article{StahlHaeckelLeutheetal., author = {Stahl, Bastian and H{\"a}ckel, Bj{\"o}rn and Leuthe, Daniel and Ritter, Christian}, title = {Data or Business First? - Manufacturers' Transformation Toward Data-driven Business Models}, series = {Schmalenbachs Zeitschrift f{\"u}r betriebswirtschaftliche Forschung}, journal = {Schmalenbachs Zeitschrift f{\"u}r betriebswirtschaftliche Forschung}, issn = {0341-2687}, doi = {10.1007/s41471-023-00154-2}, language = {en} } @masterthesis{Fischer2022, type = {Bachelor Thesis}, author = {Fischer, Alicia}, title = {Ecosystem Building in Industry 4.0 - A Value (Co-) Creation Process for Business Model Innovation}, doi = {10.60524/opus-838}, pages = {84}, year = {2022}, abstract = {Industrie 4.0 revolutioniert derzeit die Fertigungsindustrie, welches durch neue digitale Technologien wie beispielsweise KI erm{\"o}glicht wird. Insbesondere das industrielle Internet der Dinge (IIoT) ver{\"a}ndert die Gesch{\"a}ftsmodelle in der Industrie 4.0 durch den Austausch großer Datenmengen zwischen der physischen und der virtuellen Welt, was zu neuen digitalen L{\"o}sungen f{\"u}hrt. Gesch{\"a}ftsmodellinnovationen sind erforderlich, um diese neuen Wertsch{\"o}pfungsm{\"o}glichkeiten zu nutzen. Das komplexe digitalisierte Gesch{\"a}ftsumfeld schafft einen Bedarf an neuen Partnern. Die Zusammenarbeit zwischen Unternehmen wird genutzt, um gemeinsam digitale L{\"o}sungen zu schaffen, was zum Entstehen von KI-gest{\"u}tzten {\"O}kosystemen oder genauer gesagt IIoT-{\"O}kosystemen f{\"u}hrt. Derzeit ist nur wenig {\"u}ber diesen neuartigen Ansatz zur Entwicklung und Umgestaltung von Gesch{\"a}ftsmodellen bekannt. Daher ist es f{\"u}r Wissenschaftler und Praktiker von großer Bedeutung, ein Konzept f{\"u}r den Aufbau eines {\"O}kosystems in der Industrie 4.0 unter Nutzung von KI und IIoT zu entwickeln. Zur Analyse des Aufbaus von IIoT-{\"O}kosystemen wurde das 6C-Modell von Rong et al. (2015) verwendet, und anhand von drei Experteninterviews weiterentwickelt, um ein detailliertes Modell zur Entwicklung von IIoT-{\"O}kosystemen zu schaffen. Der Rahmen f{\"u}r den Aufbau eines IIoT-{\"O}kosystems f{\"u}hrt Forscher und Praktiker systematisch durch f{\"u}nf strukturelle Dimensionen, sieben Schl{\"u}sselaufgaben und entsprechende strukturelle und unterst{\"u}tzende Elemente zum Aufbau eines IIoT-{\"O}kosystems in dessen Entstehungsphase, der ersten Phase des {\"O}kosystems. Diese Aufgaben bestehen aus der Festlegung der entsprechenden Strategie f{\"u}r den Aufbau eines IIoT-{\"O}kosystems, der Identifizierung von potenziellen Partnern, der Erstellung eines kundenorientierten Wertversprechens, der Implementierung einer IIoT-Plattform, der Anpassung der Rollen und Aktivit{\"a}ten der involvierten Akteure, der Prozessumstrukturierung und der Entwicklung gemeinsamer F{\"a}higkeiten.}, language = {en} } @inproceedings{RickerRempelFeirietal., author = {Ricker, Marcus and Rempel, Sergej and Feiri, Tania and Schulze-Ardey, Jan and Hegger, Josef}, title = {Statistical Characterisation of Reinforcement Properties for Textile-Reinforced Concrete: A Novel Approach}, series = {Acta polytechnica CTU proceedings / International Probabilistic Workshop 2022}, volume = {36}, booktitle = {Acta polytechnica CTU proceedings / International Probabilistic Workshop 2022}, isbn = {978-800107035-2}, issn = {2336-5382}, doi = {10.14311/APP.2022.36.0175}, pages = {175 -- 184}, language = {en} }