[{"doi":"10.1016/j.procir.2026.03.242","intvolume":"       146","abstract":[{"lang":"eng","text":"In recent years, Retrieval Augmented Generation (RAG) has emerged as a promising technology for designing application-specific chatbots. RAG combines a Large Language Model (LLM) with application-specific information provided via a database. This opens up the possibility for companies to at least partially automate existing business processes using RAG. One use case relates to work preparation at a mechanical engineering company. Due to the high complexity of the products and the wide variety of variants, creating assembly instructions for individual assemblies and modules involves a considerable amount of administrative work. The use of RAG can help to significantly improve the efficiency of this process. However, a key challenge is to ensure high quality of automatically generated assembly instructions. While existing research has focused on feedback mechanisms for improving LLMs, the effectiveness of different prompt-based feedback types on RAG-generated technical documentation quality has not yet been sufficiently investigated. This article therefore explores how quality of assembly instructions can be improved by integrating feedback mechanisms into a RAG system. For this purpose, two different feedback mechanisms were used in a laboratory experiment. On the one hand, an exclusively quantitative feedback mechanism was used. On the other hand, quantitative and qualitative feedback were combined. The results demonstrate that feedback mechanisms contribute to improving quality of information in assembly instructions. In addition, it was found that exclusively quantitative feedback leads to similarly good results as more complex combined feedback."}],"year":"2026","language":[{"iso":"eng"}],"page":"243-248","publication":"Procedia CIRP","department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"quality_controlled":"1","volume":146,"author":[{"full_name":"Becker, Julia","last_name":"Becker","first_name":"Julia"},{"id":"42266","first_name":"Benjamin","last_name":"Adrian","full_name":"Adrian, Benjamin"},{"full_name":"Green, Dominik","last_name":"Green","first_name":"Dominik","id":"85489"},{"id":"49010","first_name":"Sven","last_name":"Hinrichsen","full_name":"Hinrichsen, Sven"}],"_id":"14001","status":"public","keyword":["Retrieval-Augmented Generation","Feedback Mechanisms","Large Language Model","Assembly Instruction"],"publication_status":"published","place":"Amsterdam [u.a.]","citation":{"chicago":"Becker, Julia, Benjamin Adrian, Dominik Green, and Sven Hinrichsen. “Evaluating Feedback Mechanisms in the Automatic Creation of Assembly Instructions Using Retrieval-Augmented Generation.” <i>Procedia CIRP</i> 146 (2026): 243–48. <a href=\"https://doi.org/10.1016/j.procir.2026.03.242\">https://doi.org/10.1016/j.procir.2026.03.242</a>.","apa":"Becker, J., Adrian, B., Green, D., &#38; Hinrichsen, S. (2026). Evaluating feedback mechanisms in the automatic creation of assembly instructions using retrieval-augmented generation. <i>Procedia CIRP</i>, <i>146</i>, 243–248. <a href=\"https://doi.org/10.1016/j.procir.2026.03.242\">https://doi.org/10.1016/j.procir.2026.03.242</a>","ieee":"J. Becker, B. Adrian, D. Green, and S. Hinrichsen, “Evaluating feedback mechanisms in the automatic creation of assembly instructions using retrieval-augmented generation,” <i>Procedia CIRP</i>, vol. 146, pp. 243–248, 2026, doi: <a href=\"https://doi.org/10.1016/j.procir.2026.03.242\">10.1016/j.procir.2026.03.242</a>.","ufg":"<b>Becker, Julia u. a.</b>: Evaluating feedback mechanisms in the automatic creation of assembly instructions using retrieval-augmented generation, in: <i>Procedia CIRP</i> 146 (2026),  S. 243–248.","mla":"Becker, Julia, et al. “Evaluating Feedback Mechanisms in the Automatic Creation of Assembly Instructions Using Retrieval-Augmented Generation.” <i>Procedia CIRP</i>, vol. 146, 2026, pp. 243–48, <a href=\"https://doi.org/10.1016/j.procir.2026.03.242\">https://doi.org/10.1016/j.procir.2026.03.242</a>.","chicago-de":"Becker, Julia, Benjamin Adrian, Dominik Green und Sven Hinrichsen. 2026. Evaluating feedback mechanisms in the automatic creation of assembly instructions using retrieval-augmented generation. <i>Procedia CIRP</i> 146: 243–248. doi:<a href=\"https://doi.org/10.1016/j.procir.2026.03.242\">10.1016/j.procir.2026.03.242</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Becker, Julia</span> ; <span style=\"font-variant:small-caps;\">Adrian, Benjamin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span>: Evaluating feedback mechanisms in the automatic creation of assembly instructions using retrieval-augmented generation. In: <i>Procedia CIRP</i> Bd. 146. Amsterdam [u.a.], Elsevier BV (2026), S. 243–248","van":"Becker J, Adrian B, Green D, Hinrichsen S. Evaluating feedback mechanisms in the automatic creation of assembly instructions using retrieval-augmented generation. Procedia CIRP. 2026;146:243–8.","havard":"J. Becker, B. Adrian, D. Green, S. Hinrichsen, Evaluating feedback mechanisms in the automatic creation of assembly instructions using retrieval-augmented generation, Procedia CIRP. 146 (2026) 243–248.","short":"J. Becker, B. Adrian, D. Green, S. Hinrichsen, Procedia CIRP 146 (2026) 243–248.","bjps":"<b>Becker J <i>et al.</i></b> (2026) Evaluating Feedback Mechanisms in the Automatic Creation of Assembly Instructions Using Retrieval-Augmented Generation. <i>Procedia CIRP</i> <b>146</b>, 243–248.","ama":"Becker J, Adrian B, Green D, Hinrichsen S. Evaluating feedback mechanisms in the automatic creation of assembly instructions using retrieval-augmented generation. <i>Procedia CIRP</i>. 2026;146:243-248. doi:<a href=\"https://doi.org/10.1016/j.procir.2026.03.242\">10.1016/j.procir.2026.03.242</a>"},"type":"scientific_journal_article","publisher":"Elsevier BV","title":"Evaluating feedback mechanisms in the automatic creation of assembly instructions using retrieval-augmented generation","date_updated":"2026-09-25T14:02:55Z","publication_identifier":{"issn":["2212-8271"]},"user_id":"83781","date_created":"2026-09-04T15:04:12Z"},{"user_id":"83781","date_created":"2025-11-10T15:56:46Z","oa":"1","date_updated":"2025-11-24T08:28:55Z","publication_identifier":{"issn":["2771-0718"],"isbn":["978-1-964867-36-6"]},"publisher":"AHFE","series_title":"AHFE International","editor":[{"first_name":"Tareq","full_name":"Ahram, Tareq","last_name":"Ahram"},{"full_name":"Karwowski, Waldemar","last_name":"Karwowski","first_name":"Waldemar"},{"full_name":"Martino, Carlo","last_name":"Martino","first_name":"Carlo"},{"full_name":"Di Bucchianico, Giuseppe","last_name":"Di Bucchianico","first_name":"Giuseppe"},{"first_name":"Vincenzo","full_name":"Maselli, Vincenzo","last_name":"Maselli"}],"title":"Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation","type":"conference_editor_article","main_file_link":[{"open_access":"1","url":"http://doi.org/10.54941/ahfe1005883"}],"citation":{"ieee":"R. Herbort, D. Green, and S. Hinrichsen, <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, vol. 160. New York, NY: AHFE, 2025. doi: <a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>.","apa":"Herbort, R., Green, D., &#38; Hinrichsen, S. (2025). Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation. In T. Ahram, W. Karwowski, C. Martino, G. Di Bucchianico, &#38; V. Maselli (Eds.), <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i> (Vol. 160). AHFE. <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>","chicago":"Herbort, Robin, Dominik Green, and Sven Hinrichsen. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Edited by Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico, and Vincenzo Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Vol. 160. AHFE International. New York, NY: AHFE, 2025. <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","mla":"Herbort, Robin, et al. “Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation.” <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>, edited by Tareq Ahram et al., vol. 160, AHFE, 2025, <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","ufg":"<b>Herbort, Robin/Green, Dominik/Hinrichsen, Sven</b>: Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, Bd. 160, hg. von Ahram, Tareq u. a., New York, NY 2025 (AHFE International).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Ahram, T.</span> ; <span style=\"font-variant:small-caps;\">Karwowski, W.</span> ; <span style=\"font-variant:small-caps;\">Martino, C.</span> ; <span style=\"font-variant:small-caps;\">Di Bucchianico, G.</span> ; <span style=\"font-variant:small-caps;\">Maselli, V.</span> (Hrsg.): <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, <i>AHFE International</i>. Bd. 160. New York, NY : AHFE, 2025","van":"Herbort R, Green D, Hinrichsen S. Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation. Ahram T, Karwowski W, Martino C, Di Bucchianico G, Maselli V, editors. Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems. New York, NY: AHFE; 2025. (AHFE International; vol. 160).","havard":"R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025.","chicago-de":"Herbort, Robin, Dominik Green und Sven Hinrichsen. 2025. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Hg. von Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico, und Vincenzo Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Bd. 160. AHFE International. New York, NY: AHFE. doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>, .","bjps":"<b>Herbort R, Green D and Hinrichsen S</b> (2025) <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, Ahram T et al. (eds). New York, NY: AHFE.","ama":"Herbort R, Green D, Hinrichsen S. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Vol 160. (Ahram T, Karwowski W, Martino C, Di Bucchianico G, Maselli V, eds.). AHFE; 2025. doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>","short":"R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025."},"place":"New York, NY","publication_status":"published","keyword":["Retrieval Augmented Generation","Large Language Model","Assembly Instructions"],"status":"public","author":[{"first_name":"Robin","id":"70575","full_name":"Herbort, Robin","last_name":"Herbort"},{"full_name":"Green, Dominik","last_name":"Green","first_name":"Dominik","id":"85489"},{"full_name":"Hinrichsen, Sven","last_name":"Hinrichsen","first_name":"Sven","id":"49010"}],"_id":"13292","volume":160,"quality_controlled":"1","department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"publication":"Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems","language":[{"iso":"eng"}],"year":"2025","abstract":[{"lang":"eng","text":"The application of Large Language Models (LLMs) for the automated generation of assembly instructions shows significant potential for improving work preparation in production processes. However, challenges remain regarding the overall information quality and precision of the generated instructions. In light of these challenges, this study explores how the information quality of automatically generated assembly instructions can be enhanced through the targeted provision of structured input data, such as Assembly and Quantity BOMs (Bills of Materials), as well as the use of optimized prompt chaining techniques. The methodology employs ChatGPT-4o in combination with Retrieval Augmented Generation (RAG) within the Microsoft Azure environment. The results demonstrate that structured data inputs, particularly the use of Assembly BOMs with defined Tool-to-Component relations, significantly improve the precision and relevance of the generated instructions. Despite these advancements, achieving consistent information quality remains a barrier to broader practical implementation. Therefore, feedback loops should be integrated into the assembly instruction generation process to ensure continuous refinement and reliability. Future research should investigate the use of RAG or similar frameworks, focusing on optimizing data structures and implementing feedback mechanisms to enhance the automated generation of assembly instructions."}],"doi":"10.54941/ahfe1005883","conference":{"end_date":"2025-02-26","name":"Intelligent Human Systems Integration (IHSI)","start_date":"2025-02-24","location":"Rome"},"intvolume":"       160"},{"type":"conference_editor_article","publisher":"AHFE","editor":[{"last_name":"Ahram","full_name":"Ahram, Tareq","first_name":"Tareq"},{"full_name":"Motschnig, Renate ","last_name":"Motschnig","first_name":"Renate "}],"series_title":"AHFE International","title":"How to Design an Operation-Specific LLM-Based Information System","oa":"1","date_updated":"2025-11-24T08:29:46Z","publication_identifier":{"issn":["2771-0718"],"isbn":["978-1-964867-73-1"]},"user_id":"83781","date_created":"2025-11-10T16:18:06Z","status":"public","keyword":["Large language model","Information system","Retrieval augmented generation"],"publication_status":"published","citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Adrian, Benjamin</span> ; <span style=\"font-variant:small-caps;\">Ahram, T.</span> ; <span style=\"font-variant:small-caps;\">Motschnig, R.</span> (Hrsg.): <i>How to Design an Operation-Specific LLM-Based Information System</i>, <i>AHFE International</i>. Bd. 197. New York, NY : AHFE, 2025","van":"Hinrichsen S, Herbort R, Green D, Adrian B. How to Design an Operation-Specific LLM-Based Information System. Ahram T, Motschnig R, editors. Human Interaction and Emerging Technologies (IHIET 2025). New York, NY: AHFE; 2025. (AHFE International; vol. 197).","havard":"S. Hinrichsen, R. Herbort, D. Green, B. Adrian, How to Design an Operation-Specific LLM-Based Information System, AHFE, New York, NY, 2025.","chicago-de":"Hinrichsen, Sven, Robin Herbort, Dominik Green und Benjamin Adrian. 2025. <i>How to Design an Operation-Specific LLM-Based Information System</i>. Hg. von Tareq Ahram und Renate  Motschnig. <i>Human Interaction and Emerging Technologies (IHIET 2025)</i>. Bd. 197. AHFE International. New York, NY: AHFE. doi:<a href=\"https://doi.org/10.54941/ahfe1006709\">10.54941/ahfe1006709</a>, .","bjps":"<b>Hinrichsen S <i>et al.</i></b> (2025) <i>How to Design an Operation-Specific LLM-Based Information System</i>, Ahram T and Motschnig R (eds). New York, NY: AHFE.","ama":"Hinrichsen S, Herbort R, Green D, Adrian B. <i>How to Design an Operation-Specific LLM-Based Information System</i>. Vol 197. (Ahram T, Motschnig R, eds.). AHFE; 2025. doi:<a href=\"https://doi.org/10.54941/ahfe1006709\">10.54941/ahfe1006709</a>","short":"S. Hinrichsen, R. Herbort, D. Green, B. Adrian, How to Design an Operation-Specific LLM-Based Information System, AHFE, New York, NY, 2025.","ieee":"S. Hinrichsen, R. Herbort, D. Green, and B. Adrian, <i>How to Design an Operation-Specific LLM-Based Information System</i>, vol. 197. New York, NY: AHFE, 2025. doi: <a href=\"https://doi.org/10.54941/ahfe1006709\">10.54941/ahfe1006709</a>.","apa":"Hinrichsen, S., Herbort, R., Green, D., &#38; Adrian, B. (2025). How to Design an Operation-Specific LLM-Based Information System. In T. Ahram &#38; R. Motschnig (Eds.), <i>Human Interaction and Emerging Technologies (IHIET 2025)</i> (Vol. 197). AHFE. <a href=\"https://doi.org/10.54941/ahfe1006709\">https://doi.org/10.54941/ahfe1006709</a>","chicago":"Hinrichsen, Sven, Robin Herbort, Dominik Green, and Benjamin Adrian. <i>How to Design an Operation-Specific LLM-Based Information System</i>. Edited by Tareq Ahram and Renate  Motschnig. <i>Human Interaction and Emerging Technologies (IHIET 2025)</i>. Vol. 197. AHFE International. New York, NY: AHFE, 2025. <a href=\"https://doi.org/10.54941/ahfe1006709\">https://doi.org/10.54941/ahfe1006709</a>.","mla":"Hinrichsen, Sven, et al. “How to Design an Operation-Specific LLM-Based Information System.” <i>Human Interaction and Emerging Technologies (IHIET 2025)</i>, edited by Tareq Ahram and Renate  Motschnig, vol. 197, AHFE, 2025, <a href=\"https://doi.org/10.54941/ahfe1006709\">https://doi.org/10.54941/ahfe1006709</a>.","ufg":"<b>Hinrichsen, Sven u. a.</b>: How to Design an Operation-Specific LLM-Based Information System, Bd. 197, hg. von Ahram, Tareq/Motschnig, Renate, New York, NY 2025 (AHFE International)."},"place":"New York, NY","main_file_link":[{"url":"http://doi.org/10.54941/ahfe1006709","open_access":"1"}],"publication":"Human Interaction and Emerging Technologies (IHIET 2025)","quality_controlled":"1","department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"volume":197,"author":[{"full_name":"Hinrichsen, Sven","last_name":"Hinrichsen","first_name":"Sven","id":"49010"},{"id":"70575","first_name":"Robin","last_name":"Herbort","full_name":"Herbort, Robin"},{"last_name":"Green","full_name":"Green, Dominik","id":"85489","first_name":"Dominik"},{"id":"42266","first_name":"Benjamin","last_name":"Adrian","full_name":"Adrian, Benjamin"}],"_id":"13293","doi":"10.54941/ahfe1006709","conference":{"end_date":"2025-08-27","name":"Human Interaction and Emerging Technologies (IHIET 2025)","location":"Vienna","start_date":"2025-08-25"},"intvolume":"       197","abstract":[{"lang":"eng","text":"The performance of large language models (LLMs) has improved significantly in recent years, with the result that they are now used in many companies in various industries. However, the design of a company-specific information system involving an LLM is associated with a large number of decisions. This leads to a high level of complexity in the design task. Against this background, companies need a structured approach that methodically supports the planning, development, implementation and long-term maintenance of LLM-based information systems so that domain- and company-specific requirements are taken into account as a result. This article therefore describes a method that supports the design, introduction and maintenance process of an LLM-based information system. The method consists of a process model and a list of design principles, which are also referred to as success factors. The process model developed is based on the proven six-stage REFA planning system. To identify and describe success factors, a systematic literature search was carried out. Based on an analysis of the contents of individual literature sources, success factors for the design of LLM-based information systems were identified. These success factors relate, for example, to the quality of the data provided, data security, user-centered system design and feedback mechanisms for improving information output."}],"year":"2025","language":[{"iso":"eng"}]},{"author":[{"first_name":"Sven","id":"49010","full_name":"Hinrichsen, Sven","last_name":"Hinrichsen"},{"full_name":"Herbort, Robin","last_name":"Herbort","first_name":"Robin","id":"70575"},{"full_name":"Green, Dominik","last_name":"Green","first_name":"Dominik","id":"85489"},{"last_name":"Adrian","full_name":"Adrian, Benjamin","id":"42266","first_name":"Benjamin"}],"_id":"13294","page":"642-647","publication":"Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit","department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"year":"2025","language":[{"iso":"ger"}],"conference":{"end_date":"2025-03-27","name":"71. Kongress der Gesellschaft für Arbeitswissenschaft e.V.","location":"Aachen","start_date":"2025-03-25"},"abstract":[{"lang":"eng","text":"Die Leistungsfähigkeit von Large Language Models konnte in den letzten Jahren deutlich verbessert werden, so dass viele Unternehmen solche Modelle bereits einsetzen oder ihren Einsatz planen. Die Gestaltung eines betriebsspezifischen Informationssystems unter Einbeziehung eines Large Language Model (LLM) ist allerdings mit einer Vielzahl an Entscheidungen verbunden. Vor diesem Hintergrund wird in diesem Beitrag eine Methode beschrieben, die bei der Gestaltung und Einführung eines LLM-basierten Informationssystems unterstützen kann, um im Ergebnis eine möglichst anforderungsgerechte Lösung zu entwickeln. Diese Methode besteht dabei aus einem Vorgehensmodell und einer Liste mit Gestaltungsprinzipien, die auch als Erfolgsfaktoren bezeichnet werden."}],"oa":"1","date_updated":"2026-02-10T12:23:02Z","publication_identifier":{"isbn":["978-3-936804-36-2"]},"user_id":"83781","date_created":"2025-11-10T16:39:12Z","type":"conference_editor_article","publisher":"GfA-Press","title":"Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen","publication_status":"published","place":"Sankt Augustin","main_file_link":[{"open_access":"1","url":"https://www.gesellschaft-fuer-arbeitswissenschaft.de/publikationen_gfa-press-tagungsband.htm"}],"citation":{"bjps":"<b>Hinrichsen S <i>et al.</i></b> (2025) <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>, Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin (ed.). Sankt Augustin: GfA-Press.","ama":"Hinrichsen S, Herbort R, Green D, Adrian B. <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. (Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, ed.). GfA-Press; 2025:642-647.","short":"S. Hinrichsen, R. Herbort, D. Green, B. Adrian, Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen, GfA-Press, Sankt Augustin, 2025.","van":"Hinrichsen S, Herbort R, Green D, Adrian B. Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen. Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, editor. Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit. Sankt Augustin: GfA-Press; 2025.","havard":"S. Hinrichsen, R. Herbort, D. Green, B. Adrian, Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen, GfA-Press, Sankt Augustin, 2025.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Adrian, Benjamin</span> ; <span style=\"font-variant:small-caps;\">Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin</span> (Hrsg.): <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. Sankt Augustin : GfA-Press, 2025","chicago-de":"Hinrichsen, Sven, Robin Herbort, Dominik Green und Benjamin Adrian. 2025. <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. Hg. von Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin. <i>Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit</i>. Sankt Augustin: GfA-Press.","mla":"Hinrichsen, Sven, et al. “Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen.” <i>Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit</i>, edited by Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, GfA-Press, 2025, pp. 642–47.","ufg":"<b>Hinrichsen, Sven u. a.</b>: Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen, hg. von Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, Sankt Augustin 2025.","ieee":"S. Hinrichsen, R. Herbort, D. Green, and B. Adrian, <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. Sankt Augustin: GfA-Press, 2025, pp. 642–647.","apa":"Hinrichsen, S., Herbort, R., Green, D., &#38; Adrian, B. (2025). Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen. In Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin (Ed.), <i>Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit</i> (pp. 642–647). GfA-Press.","chicago":"Hinrichsen, Sven, Robin Herbort, Dominik Green, and Benjamin Adrian. <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. Edited by Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin. <i>Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit</i>. Sankt Augustin: GfA-Press, 2025."},"corporate_editor":["Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin"],"status":"public","keyword":["Large Language Model","Informationssystem","Methode"]}]