Scalability in incumbent firms: The case of Nvidia

Abstract

Scalability refers to the organizational capabilities required to facilitate a smoother and faster scaling process. Although it is usually associated with new ventures, this study explores how established firms can also create conditions conducive to scalability. We address this question by applying an inductive, narrative-based approach to a longitudinal, single-case study of Nvidia Corporation, a company founded in 1993 that since 2006 has undergone a profound transformation driven by the AI revolution. This case study draws on digital archives, including objective accounting information on Nvidia and its direct competitors, extensive company reports, pedagogical case studies, corporate biographies, and 464 min of recorded documentaries and interviews featuring the company's CEO. We use these sources to develop a multi-phase theoretical model outlining how established organizations can foster scalability. The model encompasses value recognition driven by systemic industry transitions, organizational adaptability, strategic renewal, and scalability, thus offering a structured framework for understanding how incumbent firms can cultivate the necessary conditions for successful scaling.