Search Results - subject:"Prompting"

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Prompt Engineering im Unternehmen – eine Einführung : Wettbewerbsvorteile durch generative KI und Large Language Models

Koch, Daniel; Kohne, Andreas; Brechbühler, Nils - 2025

Engineering: Konzept, Bewertung, Formulierung, Formate -- Frameworks für Prompts: u.a. Prompt Chaining, Role Prompting, R-T-F, T … Engineering: Konzept, Bewertung, Formulierung, Formate Frameworks für Prompts: u.a. Prompt Chaining, Role Prompting, R-T-F, T …

Persistent link: https://www.econbiz.de/10015401834

Prompt Engineering in the Enterprise - An Introduction : Competitive Advantages through Generative AI and Large Language Models

Koch, Daniel; Kohne, Andreas; Brechbühler, Nils - 2025

Engineering: Concept, Evaluation, Formulation, Formats -- Frameworks for Prompts: including Prompt Chaining, Role Prompting, R … Engineering: Concept, Evaluation, Formulation, Formats Frameworks for Prompts: including Prompt Chaining, Role Prompting, R-T-F, T …

Persistent link: https://www.econbiz.de/10015446462

Comparative analysis of leading artificial intelligence chatbots in the context of entrepreneurship

Kamalov, Firuz; Calonge, David Santandreu; Hultberg, … - In: Journal of innovation and entrepreneurship : JIE 14 (2025) 1, pp. 1-27

Artificial intelligence (AI) chatbots show remarkable abilities across applications. Despite a growing literature, their capability in the field of entrepreneurship is not fully understood. The aim of this study is to empirically evaluate and compare capabilities of five major AI...

Persistent link: https://www.econbiz.de/10015626086

Innovating by prompting : how to facilitate innovation in the age of generative AI

Sundberg, Leif; Holmström, Jonny - In: Business horizons 67 (2024) 5, pp. 561-570

Persistent link: https://www.econbiz.de/10015095175

Navigating software development in the ChatGPT and GitHub Copilot era

France, Stephen L. - In: Business horizons 67 (2024) 5, pp. 649-661

Persistent link: https://www.econbiz.de/10015095197

Foundation models : a new paradigm for Artificial Intelligence

Schneider, Johannes; Meske, Christian; Kuss, Pauline - In: Business & information systems engineering 66 (2024) 2, pp. 221-231

Persistent link: https://www.econbiz.de/10014531853

Foundation Models

Schneider, Johannes; Meske, Christian; Kuss, Pauline - In: Business & Information Systems Engineering 66 (2024) 2, pp. 221-231

Persistent link: https://www.econbiz.de/10015376124

Artificial intelligence prompt engineering as a new digital competence : Analysis of generative AI technologies such as ChatGPT

Korzynski, Pawel; Mazurek, Grzegorz; Krzypkowska, Pamela; … - In: Entrepreneurial business and economics review : EBER 11 (2023) 3, pp. 25-37

effective AI prompt engineering. We provide specific prompting strategies. Implications & Recommendations: The study revealed …

Persistent link: https://www.econbiz.de/10014429148

Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT

Korzynski, Pawel; Mazurek, Grzegorz; Krzypkowska, Pamela; … - In: Entrepreneurial Business and Economics Review (EBER) 11 (2023) 3, pp. 25-37

effective AI prompt engineering. We provide specific prompting strategies. Implications & Recommendations: The study revealed …

Persistent link: https://www.econbiz.de/10015576334

Zukunftsfähigkeit durch Business Model Stress Testing : Eine praxisorientierte Methode für die Weiterentwicklung von Geschäftsmodellen in unsicheren Zeiten

Heim, Lars - 2025

In einer zunehmend volatilen, unsicheren und komplexen Welt stehen Unternehmen vor der Herausforderung, ihre Geschäftsmodelle laufend auf externe Stressfaktoren zu prüfen und gezielt weiterzuentwickeln. Das Business Model Stress Testing (BMST) stellt hierfür ein strukturiertes Vorgehen...

Persistent link: https://www.econbiz.de/10015463870