Understanding Human-AI Co-creation in the Workplace: A Study on Organizational Drivers and Innovation Outcomes

As artificial intelligence (AI) tools become increasingly used in organizations, understanding how to achieve real performance gains from their use is a growing priority. While much research has focused on automation, this study shifts attention to human–AI collaboration, examining how organizational factors enable employees to co-create value with AI. Drawing on structural empowerment theory, we propose an holistic model that investigates both antecedents of AI use behavior and human–AI co creation, and the consequent outcomes in terms of innovation and productivity skills. Results reveal that structural empowerment significantly impacts use and co-creation, and that human–AI co-creation not only increases innovation and productivity but also moderates the impact of AI use, highlighting that collaboration quality can compensate for lower usage frequency. These findings extend empowerment theory into AI studies and support socio-technical perspectives by showing the interaction between social and technological elements.

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Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Understanding Human-AI Co-creation in the Workplace: A Study on Organizational Drivers and Innovation Outcomes

Henrique Prehn Falcão, Joana Neves, Frederico Cruz-Jesus, Tiago Oliveira et al.
ScholarSpace (University of Hawaii at Manoa)
Ethics and Social Impacts of AI
article

Understanding Human-AI Co-creation in the Workplace: A Study on Organizational Drivers and Innovation Outcomes

Henrique Prehn Falcão, Joana Neves, Frederico Cruz-Jesus, Tiago Oliveira, Catarina Neves
article en

Abstract

As artificial intelligence (AI) tools become increasingly used in organizations, understanding how to achieve real performance gains from their use is a growing priority. While much research has focused on automation, this study shifts attention to human–AI collaboration, examining how organizational factors enable employees to co-create value with AI. Drawing on structural empowerment theory, we propose an holistic model that investigates both antecedents of AI use behavior and human–AI co creation, and the consequent outcomes in terms of innovation and productivity skills. Results reveal that structural empowerment significantly impacts use and co-creation, and that human–AI co-creation not only increases innovation and productivity but also moderates the impact of AI use, highlighting that collaboration quality can compensate for lower usage frequency. These findings extend empowerment theory into AI studies and support socio-technical perspectives by showing the interaction between social and technological elements.

ScholarSpace (University of Hawaii at Manoa)
Industry, innovation and infrastructure, Decent work and economic growth
Openalex Percentile: Top 27%
Ethics and Social Impacts of AI
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