Competing Models of Platformization for Delivering Health AI
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
7th Innovation in Information Infrastructures (III) Workshop
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
Digital platforms play key roles in society, but our understanding of platformization is shaped by studies of a few consumer-facing platforms like Uber, Airbnb, and Big Tech services. These models cannot be uncritically applied to contexts with different characteristics. A more nuanced understanding requires broader empirical studies and flexible analytical frameworks.
We examine the platformization of AI in radiology, where advances in machine learning and venture capital have led to the creation of numerous companies offering AI solutions to hospitals. Digital platforms have emerged to deliver these solutions at scale, but platform organizations must navigate strict regulations and professional users embedded in complex, legacy infrastructures.
To study the platformization of AI in radiology, we develop an analytical framework that views this process as a series of configurational movements within a strategic action field. This enables us to examine how various actors aim to provide medical AI at scale and how their interactions reshape strategies and the broader field.
We present four key insights that challenge the dominant model of platformization. First, in radiology, platforms stabilized the AI market rather than disrupting incumbent actors. Second, instead of one dominant platform model, we observed various models shaped by each organization?s field position, interacting in complex ways. Third, platform organizations adapted their strategies in response to emerging opportunities or threats. Lastly, platforms did not outcompete other organizational forms but were one scaling strategy among others.
In conclusion, the dominant view of platformization as a planned disruption by powerful actors is insufficient. Platformization should instead be understood as a series of configurational movements within strategic action fields, capturing the diverse conditions, processes, and outcomes of platformization more effectively.
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