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March 21, 2026R and D Management2 citationsOpen Access

Organizational Readiness, AI Literacy, and the New Frontier of R&D: How Generative AI Shapes Innovation Capacity

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SSStefanie SteinhauserPHPaulina Heid

Key Points

  • The research aims to explore the relationship between organizational readiness, AI literacy, and the impact of generative AI on R&D innovation capacity.
  • Conducted a qualitative pre-study and survey analysis
  • Utilized structural equation modeling for data analysis
  • Evaluated cultural and structural readiness alongside AI literacy
  • Cultural readiness is vital for successful generative AI adoption
  • Structural readiness is conditional on employee AI literacy
  • Generative AI enhances R&D processes and innovation capacity

Abstract

ABSTRACT Generative artificial intelligence (AI) can transform research and development (R&D) by enhancing efficiency, accelerating product development, and fostering innovation. As companies seek to integrate this technology, understanding the role of organizational readiness and AI literacy as well as generative AI's impact on innovation capacity becomes increasingly important. This study examines whether cultural and structural readiness and AI literacy affect the use of generative AI and how generative AI influences R&D activities and innovation capacity. The study employs a qualitative pre‐study and survey data, analyzed with structural equation modeling. The findings show that cultural readiness, reflecting an organization's openness to AI‐driven change, is a key enabler of successful adoption. Structural readiness, defined by the technological and procedural alignment with AI applications, appears to play a conditional role, depending on the level of employees' AI literacy. The findings also demonstrate that generative AI supports R&D processes and, in turn, enhances innovation capacity. By providing insights into the interplay between organizational readiness, AI literacy, generative AI utilization, and its impact on R&D activities and innovation capacity, this research advances the academic understanding of how generative AI can contribute to innovation processes and provides practical implications for organizations aiming to leverage generative AI for competitive advantage.

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Cite This Study

Steinhauser et al. (2026) studied this question.

synapsesocial.com/papers/69be36666e48c4981c6753d2https://doi.org/10.1111/radm.70038
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