Artificial intelligence and the reconfiguration of NPD Teams: Adaptability and skill differentiation in sustainable product innovation

Sustainable product innovation (SPI) is increasingly central to New Product Development (NPD) teams, aligning with global sustainability goals and industry expectations. However, the factors associated with SPI at team level remain underexplored. This study examines the roles of team skill differentiation and team adaptability in fostering SPI, proposing that these factors support teams in the pursuit of sustainability-oriented innovation more effectively. Furthermore, we investigate the moderating role of generative artificial intelligence (GenAI) in shaping the strength of these relationships. Drawing on the double diamond framework and its AI-augmented adaptation, we hypothesize that skill differentiation expands the range of potential solutions in the divergent phase of innovation, while adaptability enhances responsiveness in the convergent phase. GenAI is posited to enhance these effects by augmenting knowledge recombination and real-time strategic adaptation. To test our hypotheses, we conducted a multi-industry survey of NPD teams engaged in sustainability initiatives, applying multiple regression analysis to assess the proposed relationships. All our hypotheses were empirically supported. Overall, this study contributes to SPI research by integrating team capability theory with AI-driven innovation frameworks. The findings highlight the need for firms to cultivate multidisciplinary teams with adaptive capacities while leveraging GenAI as an amplifier rather than a substitute for human expertise. The results also underscore that effective SPI requires both internal knowledge diversity and external responsiveness, alongside AI tools that enhance creativity and sustainability-driven decision-making. Finally, this research provides insights into how NPD teams can enhance their engagement in sustainable innovation, aligning with the broader objectives of Sustainable Development Goals (SDGs) 9 and 12. • Skill differentiation enhances SPI. • Team adaptability positively influences SPI. • GenAI supports NPD teams' adaptability, driving SPI success. • GenAI supports NPD teams' team skill differentiation, driving SPI success.

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Publication Details

Journal
Technovation
Published
2025-05-22
DOI
https://doi.org/10.1016/j.technovation.2025.103254
Citations
13
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
28.94
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article

Artificial intelligence and the reconfiguration of NPD Teams: Adaptability and skill differentiation in sustainable product innovation

Giacomo Marzi, Marco Balzano
13 citations
Technovation
Innovation and Knowledge Management
28.94
article

Artificial intelligence and the reconfiguration of NPD Teams: Adaptability and skill differentiation in sustainable product innovation

Giacomo Marzi, Marco Balzano
article en
13 citations

Abstract

Sustainable product innovation (SPI) is increasingly central to New Product Development (NPD) teams, aligning with global sustainability goals and industry expectations. However, the factors associated with SPI at team level remain underexplored. This study examines the roles of team skill differentiation and team adaptability in fostering SPI, proposing that these factors support teams in the pursuit of sustainability-oriented innovation more effectively. Furthermore, we investigate the moderating role of generative artificial intelligence (GenAI) in shaping the strength of these relationships. Drawing on the double diamond framework and its AI-augmented adaptation, we hypothesize that skill differentiation expands the range of potential solutions in the divergent phase of innovation, while adaptability enhances responsiveness in the convergent phase. GenAI is posited to enhance these effects by augmenting knowledge recombination and real-time strategic adaptation. To test our hypotheses, we conducted a multi-industry survey of NPD teams engaged in sustainability initiatives, applying multiple regression analysis to assess the proposed relationships. All our hypotheses were empirically supported. Overall, this study contributes to SPI research by integrating team capability theory with AI-driven innovation frameworks. The findings highlight the need for firms to cultivate multidisciplinary teams with adaptive capacities while leveraging GenAI as an amplifier rather than a substitute for human expertise. The results also underscore that effective SPI requires both internal knowledge diversity and external responsiveness, alongside AI tools that enhance creativity and sustainability-driven decision-making. Finally, this research provides insights into how NPD teams can enhance their engagement in sustainable innovation, aligning with the broader objectives of Sustainable Development Goals (SDGs) 9 and 12. • Skill differentiation enhances SPI. • Team adaptability positively influences SPI. • GenAI supports NPD teams' adaptability, driving SPI success. • GenAI supports NPD teams' team skill differentiation, driving SPI success.

TechnovationVol. 145
IMT School for Advanced Studies Lucca (IT), University of Trieste (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 0%
Innovation and Knowledge Management
28.94
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