TY - JOUR A1 - Bilgram, Volker A1 - Cañadas Link, David A1 - Lang-Koetz, Claus T1 - Generative KIs in Kreativprozessen: Praxiserfahrungen aus den ersten Monaten mit ChatGPT & Co. JF - Ideen- und Innovationsmanagement N2 - Generative Künstliche Intelligenz (KI) wie ChatGPT oder MidJourney sind derzeit in aller Munde. Ihre leichte Bedienbarkeit und vielseitigen Einsatzmöglichkeiten revolutionieren die Art wie wir arbeiten – auch oder gerade im Innovationsmanagement. Auf Basis der Praxiserfahrungen aus KI-basierten Design Thinking Workshops werden Erkenntnisse und Empfehlungen für den Einsatz generativer KIs im Kreativprozess abgeleitet. Insbesondere zeigen wir auf, was für eine gelungene Zusammenarbeit von menschlichen Teams und KIs zu beachten ist und wie Teams mit der KI kommunizieren können, um die gewünschten Resultate zu erzielen. Y1 - 2023 U6 - https://doi.org/10.37307/j.2198-3151.2023.01.07 SN - 2198-3151 IS - 1 PB - Erich Schmidt Verlag GmbH & Co. KG ER - TY - JOUR A1 - Bilgram, Volker A1 - Hahn, Alexander A1 - Füller, Johann T1 - «Golden Crowd»: Engaging the Users that Deliver on Your Crowdsourcing Goals JF - Marketing Review St. Gallen N2 - Companies run branded crowdsourcing contests to achieve two main goals: generate ideas and create brand equity. This paper provides an empirical typology of contest users and reveals five distinct user types: jacks-of-all-trades, devoted brand fans, pure innovators, reward seekers and passive customers. Based on the users' characteristics we derive actionable insights on how to attract, recruit and manage the crowd for different purposes. Y1 - 2022 UR - https://www.econstor.eu/bitstream/10419/279652/1/MRSG_2022_6_12-20.pdf SN - 1865-7516 VL - 39 IS - 6 PB - Thexis Verlag, St. Gallen ER - TY - CHAP A1 - Wöhrl, Andrea A1 - Korte, Sophia A1 - Bartl, Michael A1 - Bilgram, Volker A1 - Brem, Alexander ED - Bstieler, Ludwig ED - Noble, Charles T1 - HOW TO LEVERAGE THE RIGHT USERS AT THE RIGHT TIME WITHIN USER-CENTRIC INNOVATION PROCESSES T2 - The PDMA Handbook of Innovation and New Product Development Y1 - 2023 SN - 978-1-119-89021-8 PB - Wiley CY - Hoboken ET - 4 ER - TY - JOUR A1 - Bilgram, Volker A1 - Laarmann, Felix T1 - Accelerating Innovation With Generative AI: AI-Augmented Digital Prototyping and Innovation Methods JF - IEEE Engineering Management Review N2 - Easy-to-use generative artificial intelligence (AI) is democratizing the use of AI in innovation management and may significantly change the way how we work and innovate. In this article, we show how large language models (LLMs), such as generative pretrained transformer (GPT), can augment the early phases of innovation, in particular, exploration, ideation, and digital prototyping. Drawing on six months of experimenting with LLMs in internal and client innovation projects, we share first-hand experiences and concrete examples of AI-assisted approaches. The article highlights a large variety of use cases for generative AI ranging from user journey mapping to idea generation and prototyping and foreshadows the promising role LLMs may play in future knowledge management systems. Moreover, we argue that generative AI may become a game changer in early prototyping as the delegation of tasks to an artificial agent can result in faster iterations and reduced costs. Our experiences also provide insights into how human innovation teams purposively and effectively interact with AIs and integrate them into their workflows. Y1 - 2023 U6 - https://doi.org/10.1109/EMR.2023.3272799 SN - 0360-8581 VL - 51 IS - 2 SP - 18 EP - 25 PB - Institute of Electrical and Electronics Engineers (IEEE) ER -