Paper Type
Short
Paper Number
1902
Description
Recent developments of generative artificial intelligence (GAI) introduce unprecedented opportunities that are believed to enhance individual skills, particularly creativity, while improving team collaboration. Thus, these novel uses of GAI both on the individual and collective level have the potential to augment the innovation process within teams. Nevertheless, little is understood about how teams leverage GAI to enhance the innovation process. Using affordance theory, this study conducts a field study encompassing 18 teams, with 83 participants to understand the use of GAI during the innovation process. Our findings reveal that profoundly enhance the capacities of teams to innovate by generating, improving, automating, and stimulating sophisticated creative tasks. However, the main benefits of GAI appear to be confined to specific tasks rather than enhancing innovation itself. Our study is expected to contribute to research on the use of GAI at the team level, particularly in the innovation context, and advance affordance theory.
Recommended Citation
Steiger, Thomas; Durani, Khalid; Just, Julian; Hutter, Katja; and Eckhardt, Andreas, "From Concept to Creation: Artificial Intelligence in Innovation Teams" (2024). PACIS 2024 Proceedings. 16.
https://aisel.aisnet.org/pacis2024/track13_hcinteract/track13_hcinteract/16
From Concept to Creation: Artificial Intelligence in Innovation Teams
Recent developments of generative artificial intelligence (GAI) introduce unprecedented opportunities that are believed to enhance individual skills, particularly creativity, while improving team collaboration. Thus, these novel uses of GAI both on the individual and collective level have the potential to augment the innovation process within teams. Nevertheless, little is understood about how teams leverage GAI to enhance the innovation process. Using affordance theory, this study conducts a field study encompassing 18 teams, with 83 participants to understand the use of GAI during the innovation process. Our findings reveal that profoundly enhance the capacities of teams to innovate by generating, improving, automating, and stimulating sophisticated creative tasks. However, the main benefits of GAI appear to be confined to specific tasks rather than enhancing innovation itself. Our study is expected to contribute to research on the use of GAI at the team level, particularly in the innovation context, and advance affordance theory.
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