@thesis{Schneider2023, author = {Schneider, Rebeka}, title = {Untersuchung von Simulationsumgebungen im Bereich der roboterbasierten Automatisierung}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-37814}, pages = {89}, school = {Technische Hochschule Ingolstadt}, year = {2023}, abstract = {Die vorliegende wissenschaftliche Arbeit bewertet mit dem Analysemodell ,5D Digital Technology Assessment Cycle' die f{\"u}nf Dimensionen des Analysemodells (Nutzen (,Benefit'), Technologiebereitschaft (,Technology Readiness'), Benutzerfreundlichkeit (,Usability') und Kosten (,Costs')) von Simulationssoftware im Bereich roboterbasierter Automatisierung. Da sich klassische Bewertungsverfahren {\"u}berwiegend auf die Aspekte ,Kosten' und ,Nutzen' der Technologie konzentrieren und wesentliche Aspekte bei der Bewertung dieser missachten, ist die Bewertung von neuartiger Technologie f{\"u}r Unternehmen ein herausfordernder Prozess. Simulationssoftwares ist eine erfolgversprechende Technologie, die vermehrt im Bereich der Automatisierungstechnik f{\"u}r die Simulation und Analyse von Fertigungsanlagen eingesetzt werden. Die Vorz{\"u}ge von Simulationssoftware sind vielseitig und reichen von der Verk{\"u}rzung der Durchlaufzeit und Inbetriebnahme der Anlage bis hin zur Verbesserung der Nachhaltigkeit. Keywords: Bewertung; Vorteile; Unternehmensbereitschaft; Kosten; Simulationssoftware; Simulationsumgebung; Robotik; Automatisierungstechnik; Reife der Technologie; Benutzerfreundlichkeit}, language = {de} } @thesis{Stoychev2023, author = {Stoychev, Ventsislav}, title = {The potential benefits of implementing machine learning in supply chain management}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-37483}, pages = {IV, 70}, school = {Technische Hochschule Ingolstadt}, year = {2023}, language = {en} } @thesis{Akram2024, author = {Akram, Usman}, title = {Exploring market entry strategies for pakistani exports in Germany}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-51448}, pages = {114}, school = {Technische Hochschule Ingolstadt}, year = {2024}, abstract = {The dynamics of global trade and economic development make the study of market entry strategies for Pakistani exports to Germany an engaging subject. Pakistan's export industry is broad and includes, among other things, textiles, leather goods, surgical instruments, and agricultural products. Germany is a prominent target market because of its strong consumer base, strong economy, and advantageous location within the European Union. Nevertheless, despite the possible advantages, Pakistani exporters face several obstacles when trying to enter and grow in the German market, such as complex regulations, cultural differences, and strong competition from both domestic and foreign suppliers. By identifying successful market entry strategies served to the requirements of Pakistani exporters aiming at Germany, this study aims to address these issues. By concluding this knowledge gap, the study anticipates improving export competitiveness and fortify bilateral trade ties between Pakistan and Germany, as well as provide insightful information to the field of international business and trade stakeholders. In the end, it is anticipated that the study's conclusions will be important from an academic standpoint as well as have real-world applications for the business sector and policymakers. The thesis will be organized into sections that concentrate on market entry strategies for exporters from Pakistan. These sections will explore various approaches, including alliances, joint ventures, direct exporting, and franchising, and will assess their performance, suitability, and feasibility in the German market context. The integration of AI technologies and IT services within these strategies will be covered in more detail in a later section, which will also analyze technologies like data analytics and supply chain management powered by AI. The study's empirical insights will be presented through comparative analysis and findings, which will compare the efficacy and efficiency of various market entry strategies and evaluate the benefits and drawbacks of IT-driven approaches.}, language = {en} } @thesis{Babrizadeh2024, author = {Babrizadeh, Farid}, title = {Overview and systematization of different metaverses}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-46895}, pages = {VIII, 73}, school = {Technische Hochschule Ingolstadt}, year = {2024}, abstract = {Overview and Systematization of Different Metaverses}, language = {en} } @thesis{Mischo2024, author = {Mischo, Martin}, title = {The impact of AI-supported business tools on daily work in a consulting company}, subtitle = {a case study of a technical consultancy with focus in product development}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-46908}, pages = {81, XXXVI}, school = {Technische Hochschule Ingolstadt}, year = {2024}, abstract = {In the current era, characterized by the rapid advancement of Artificial Intelligence, which is being developed at a rapid pace, delivering promising and exciting progress in different sectors such as healthcare, transportation, education, and entertainment, it is unclear how this evolution will impact society, businesses, and individuals in the future. While AI is being one of the most hyped technologies currently, also cautionary, and critical voices get louder that see significant risks to society if AI lacks appropriate safeguards or is misused. Yet, many companies want to be part of the AI revolution and want to benefit from an implementation of the technology. Therefore, the exploration of the impact of AI tools on daily work in businesses is necessary to determine whether the implementation of such a rapidly developing technology is beneficial. How AI could impact companies, especially in consulting, is not a deeply examined topic by now and lacks research and knowledge. Therefore, the impact that AI could have on daily work processes in a consulting company needs to be further studied. In this thesis, different use cases within the daily workflows of consultants at 3DSE Management Consultants GmbH are selected, different available AI-supported business tools evaluated, and the impact of AI determined. In this thesis, it is shown that the tasks that one must do stay the same but can now be supported by different AI tools. Especially in text processing and research tasks can be done faster, while for interviews and meetings an analysis can be done automatically. Additionally, image generation enables the creation of tailored images to a slide“s content and improves presentation quality. Three different phases are identified where AI can be used as support and it is shown that the impact of AI can be improved by building functional experience with the use of AI tools and domain expertise to evaluate the correctness of the results and reach higher complexity and levels of detail. Two models are introduced that visualize the need for experience and expertise. The results prove that the implementation of AI can improve productivity of daily work in a consulting company. Even more so if certain circumstances are true. Improving experience of working with AI and expertise in the domain the tasks are located are success factors that need to be looked at by 3DSE. If done right, the implementation of AI can be enhanced to not solely personal work, but also consulting processes and ultimately integrated in the consulting service.}, language = {en} } @thesis{Karakurt2024, author = {Karakurt, Burak}, title = {Current technological advancements in healthcare gamification}, subtitle = {Overview, evaluation, and potentials of healthcare applications}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-51298}, pages = {VII, 56}, school = {Technische Hochschule Ingolstadt}, year = {2024}, language = {en} } @thesis{Nasimov2024, author = {Nasimov, Daler}, title = {The role of digital transformation in emerging business models}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-50920}, pages = {69, xxxix}, school = {Technische Hochschule Ingolstadt}, year = {2024}, language = {en} }