Paper Number
ICIS2025-2118
Paper Type
Complete
Abstract
In 2025, interest in Generative Artificial Intelligence (GenAI) reached an unprecedented scale, prompting new investments. Yet, research lacks sufficient understanding of the requirements and readiness factors enabling effective organizational adoption. Building on the technology organization environment (TOE) framework, this paper investigates GenAI adoption factors through a comparative case study of three MedTech startups and three corporations. Findings suggest extending existing TOE frameworks to address unique GenAI considerations. Newly highlighted factors include e.g. model adaptability and specific competency requirements. Significant differences emerge based on organizational size, with startups and corporations facing distinct barriers and enablers. The resulting extended framework outlines 12 propositions which can serve as a starting point for future GenAI adoption research and support managerial actions.
Recommended Citation
Bluemelhuber, Benedikt and Novak, Florian Alexander, "Exploring GenAI Adoption: A Comparative Case Study of Startups and Corporations" (2025). ICIS 2025 Proceedings. 8.
https://aisel.aisnet.org/icis2025/impl_adopt/impl_adopt/8
Exploring GenAI Adoption: A Comparative Case Study of Startups and Corporations
In 2025, interest in Generative Artificial Intelligence (GenAI) reached an unprecedented scale, prompting new investments. Yet, research lacks sufficient understanding of the requirements and readiness factors enabling effective organizational adoption. Building on the technology organization environment (TOE) framework, this paper investigates GenAI adoption factors through a comparative case study of three MedTech startups and three corporations. Findings suggest extending existing TOE frameworks to address unique GenAI considerations. Newly highlighted factors include e.g. model adaptability and specific competency requirements. Significant differences emerge based on organizational size, with startups and corporations facing distinct barriers and enablers. The resulting extended framework outlines 12 propositions which can serve as a starting point for future GenAI adoption research and support managerial actions.
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14-Implementation