Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
This study investigates how Entrepreneurial Orientation (EO), comprising of innovativeness, proactiveness, and risk-taking, influences the adoption of artificial intelligence (AI) within entrepreneurial firms. Using the Technology Acceptance Model (TAM) as a theoretical framework, data were collected from 324 entrepreneurs through an online survey, designed to capture their perspectives on AI adoption without priming participants toward specific AI technologies. The findings reveal that firms exhibiting higher levels of EO are significantly more likely to adopt AI. This research expands the application of EO and TAM in the context of AI adoption, providing critical insights for understanding how entrepreneurial firms approach emerging technologies. By laying a foundation for future research, this study encourages the exploration of AI adoption through qualitative and mixed-method approaches, offering a pathway for a deeper understanding of the strategic role AI plays in small businesses.
Recommended Citation
Dixon, Leonard and Sebesta, John, "AI Adoption in Entrepreneurial Firms: The Influence of Innovativeness, Proactiveness, and Risk-Taking" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 2.
https://aisel.aisnet.org/hicss-58/ks/ai_and_entrepreneurship/2
AI Adoption in Entrepreneurial Firms: The Influence of Innovativeness, Proactiveness, and Risk-Taking
Hilton Waikoloa Village, Hawaii
This study investigates how Entrepreneurial Orientation (EO), comprising of innovativeness, proactiveness, and risk-taking, influences the adoption of artificial intelligence (AI) within entrepreneurial firms. Using the Technology Acceptance Model (TAM) as a theoretical framework, data were collected from 324 entrepreneurs through an online survey, designed to capture their perspectives on AI adoption without priming participants toward specific AI technologies. The findings reveal that firms exhibiting higher levels of EO are significantly more likely to adopt AI. This research expands the application of EO and TAM in the context of AI adoption, providing critical insights for understanding how entrepreneurial firms approach emerging technologies. By laying a foundation for future research, this study encourages the exploration of AI adoption through qualitative and mixed-method approaches, offering a pathway for a deeper understanding of the strategic role AI plays in small businesses.
https://aisel.aisnet.org/hicss-58/ks/ai_and_entrepreneurship/2