Communicating and Framing Innovation in the Era of Generative AI

Éditeurs invités

• Saeedeh Ahmadi, University of Amsterdam
• Saeed Khanagha, Vrije Universiteit Amsterdam
• Georg Reischauer, Leuphana University Lüneburg
• Georg Reischauer, Johannes Kepler University Linz
• Victor P Seidel, Babson College
• Llewellyn D W Thomas, University of Sydney Business School
• Llewellyn D W Thomas, Imperial College Business School

Synthèse

Innovation communication and framing are central to product development success across all stages, shaping how organizations coordinate internally and externally. Generative AI fundamentally disrupts traditional approaches to communicating and framing innovation, creating both opportunities and challenges. Firms are already experimenting creatively with these technologies, yet face significant risks including authenticity concerns, misinformation, and backlash from audiences skeptical of AI-generated content.

This special issue seeks interdisciplinary research examining how Generative AI shapes communication and framing of innovation at individual, organizational, industry, and ecosystem levels. Key areas include how AI-mediated communication transforms new product development processes, manages technological hype cycles, and navigates tensions between creativity and authenticity. The issue welcomes quantitative, qualitative, mixed-methods, and conceptual work across all innovation types and organizational contexts, with particular interest in research on non-venture firms including corporations, family businesses, and small-to-medium enterprises.

Thèmes proposés

• Conceptual foundations of Generative AI-driven communication and framing, including how AI-facilitated communication changes the nature of new product development processes across stages, types, and degrees of innovation
• Antecedents at various organizational levels that enable or obstruct AI-mediated information disclosures
• Impact of Generative AI-facilitated communication and framing on generativity within platform, entrepreneurial, and innovation ecosystems
• Role of emotions, humor, and metaphors in Generative AI-driven communication
• Intended and unintended consequences of Generative AI-driven communication and audience reception
• How firms use AI-based tools to convince skeptical audiences and align AI-mediated communication with powerful audiences such as regulators and politicians
• Competences required for mastery of AI-mediated communication across new product development stages
• How audiences respond to and instrumentalize AI-driven disclosures for their interests
• Forms of Generative AI-mediated communication that shape audience engagement and sensemaking in online communities
• Characteristics of effective AI-driven communication for product launches and technology-mediated innovation events
• Communication processes and mechanisms through which firms create and navigate hypes
• How hyped firms use Generative AI to communicate when innovations do not meet expectations
• Rumors in the context of Generative AI and their influence on firm innovation strategies
• How firms navigate firestorms and negative online discourse communicatively
• Generative AI use for communicating moonshots and visionary concepts
• How Generative AI identifies windows of opportunity for communicating innovation
• Effects of Generative AI-created messages on authenticity and creativity of innovation communication
• How firms balance authenticity across disagreeing audiences
• Comparison of human versus generative AI communications on creativity, accuracy, and authenticity
• Conditions under which Generative AI outperforms human communication
• How false, fabricated, or inaccurate information on new products spreads digitally and consequences for firm social evaluations
• Factors driving innovators and firms to communicate beyond their actual expertise and responses to inauthenticity claims

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