Paper Number

ICIS2025-2265

Paper Type

Short

Abstract

The rise of artificial intelligence (AI) has driven the interconnection of digital platforms and the creation of multi-platform networks (MPNs). To investigate the implications how value is created in these networked environments, this study introduces a graph-oriented structural framework that analyzes how AI impacts value creation dimensions for multiple types of platform networks. Building on the distinction between innovation and transaction platforms, as well as direct and indirect value creation, a 2×2 matrix model proposes four value dimensions: coordination efficiency (direct) and network effects (indirect) for transaction platforms, and innovation dynamics (direct) and complementarities (indirect) for innovation platforms. Tiered, embedded, and federated platform networks are three types that leverage AI's learning capabilities, agentic autonomy, and adaptive reconfiguration to transform each value dimension differently compared to traditional static platform integration. Overall, the framework advances platform theory by systematically mapping AI-mediated transformation patterns to value-creation mechanisms.

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Dec 14th, 12:00 AM

AI-based Value Creation in Multi-Platform Networks: A Structural Approach

The rise of artificial intelligence (AI) has driven the interconnection of digital platforms and the creation of multi-platform networks (MPNs). To investigate the implications how value is created in these networked environments, this study introduces a graph-oriented structural framework that analyzes how AI impacts value creation dimensions for multiple types of platform networks. Building on the distinction between innovation and transaction platforms, as well as direct and indirect value creation, a 2×2 matrix model proposes four value dimensions: coordination efficiency (direct) and network effects (indirect) for transaction platforms, and innovation dynamics (direct) and complementarities (indirect) for innovation platforms. Tiered, embedded, and federated platform networks are three types that leverage AI's learning capabilities, agentic autonomy, and adaptive reconfiguration to transform each value dimension differently compared to traditional static platform integration. Overall, the framework advances platform theory by systematically mapping AI-mediated transformation patterns to value-creation mechanisms.

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