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Strategic Integration of Generative Artificial Intelligence into Organizational Open Innovation Processes: A Sequential Explanatory Mixed-Methods Study

Author

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  • Andrea Alexandra Rodríguez García

    (Universidad Técnica de Manabí - Ecuador)

Abstract

This mixed-methods study (survey n=142 + qualitative cases) found that normative uncertainty (ethical, regulatory, IP concerns) is the main barrier to integrating Generative AI into open innovation (???? = −.408), surpassing technical limitations. Leadership support and technical capabilities are key drivers. Successful integration requires a Strategic Sociotechnical Integration framework with four pillars: proactive governance, ambidextrous architecture (hybrid AI Innovation Cells), human-AI co-evolution loops, and relational capital renewal. Competitive advantage comes from orchestration capability, not superior algorithms.

Suggested Citation

  • Andrea Alexandra Rodríguez García, 2026. "Strategic Integration of Generative Artificial Intelligence into Organizational Open Innovation Processes: A Sequential Explanatory Mixed-Methods Study," Applied Journal of Digital Innovation, Reincisol Publishing, vol. 2, pages 1-16, January.
    • Handle: RePEc:ajd:ajdinn:v:2:y:2026:id:16
    DOI: 10.65835/aj.2026.2.16
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