TY - JOUR A1 - Biel, Stefan A1 - Hahn, Alexander A1 - Bilgram, Volker A1 - Rogers, Helen T1 - From Hybrid to AI-First Innovation Management JF - IEEE Engineering Management Review N2 - The rise of generative Artificial Intelligence (AI) in traditionally human domains of creativity signifies a profound development in product innovation management. In this article, we investigate the evolving role of innovation managers, emphasizing a transition from problem-solving to sense-making and decision-making. Additionally, we delve into organizational strategies for effective AI integration, advocating for systematic experimentation, comprehensive training, and the development of AI-first innovation frameworks for new product development (NPD). Ultimately, we propose a paradigm shift to AI-first creative processes, where AI is not merely an extension but the foundational mechanism of the innovation workflow. KW - Innovation Management KW - Artificial Intelligence KW - Generative AI KW - ChatGPT KW - AI-Augmented Innovation Management KW - New Product Development Y1 - 2025 U6 - https://doi.org/10.1109/EMR.2025.3527744 SN - 0360-8581 SP - 1 EP - 11 PB - Institute of Electrical and Electronics Engineers (IEEE) ER - TY - JOUR A1 - Schötteler Libera, Pedro A1 - Bilgram, Volker A1 - Schötteler, Sebastian A1 - Mammen, Jan T1 - ChatGPT in the Working World: A Qualitative Study JF - Information Resources Management Journal (IRMJ) N2 - The authors investigated how ChatGPT transforms workplace tasks by analyzing qualitative survey responses from 78 U.S. professionals in the fields of software, marketing, and academia. This study addresses a gap in understanding the malleability of generative artificial intelligence in diverse professional contexts, a need underscored by ChatGPT’s rapid adoption and mixed impact on work practices. Using a qualitative survey deployed via a validated platform, the authors collected open-ended responses about tasks, challenges, and opportunities. Responses were inductively coded to compare domain-specific applications. The findings show that although ChatGPT is widely used across sectors for tasks such as content creation, research, and idea generation, certain tasks—such as coding in software, strategic communication in marketing, and knowledge acquisition in academia—diverge. The results emphasize the importance of context-sensitive integration strategies and bottom-up adoption approaches to maximize the benefits of artificial intelligence while mitigating risks. KW - Generative AI KW - Technology Adoption KW - Human-AI Interaction KW - Organizational Malleability KW - Qualitative Research Y1 - 2025 U6 - https://doi.org/10.4018/IRMJ.386593 VL - 38 IS - 1 PB - IGI Global ER -