Paper Number
ICIS2025-1044
Paper Type
Complete
Abstract
Digital platforms’ Layered Modular Architecture (LMA) comprising contents, service, network, and device layer enables value generation. Developers of complementary products adhere to technological platform constraints to generate consumer value. Yet it remains unclear how digital platform complements best leverage resources across these four layers, particularly amid the increasing diffusion of Artificial Intelligence (AI). By conducting a fuzzy-set qualitative comparative analysis of 5,008 iOS apps, we identify distinct configurations for both, apps without and with AI capability, that drive value. Our results contribute to research by i) extending the LMA framework to complement-level, ii) revealing the multiple solutions of complement configuration for consumer value, and iii) identifying differences in consumer value creation between complements without and with AI capability.
Recommended Citation
Knorr, Clarissa and Kindermann, Bastian, "How Does (AI-)Complement Configuration Affect User Value in Platform Ecosystems? A Qualitative Comparative Analysis" (2025). ICIS 2025 Proceedings. 1.
https://aisel.aisnet.org/icis2025/sharing_econ/sharing_econ/1
How Does (AI-)Complement Configuration Affect User Value in Platform Ecosystems? A Qualitative Comparative Analysis
Digital platforms’ Layered Modular Architecture (LMA) comprising contents, service, network, and device layer enables value generation. Developers of complementary products adhere to technological platform constraints to generate consumer value. Yet it remains unclear how digital platform complements best leverage resources across these four layers, particularly amid the increasing diffusion of Artificial Intelligence (AI). By conducting a fuzzy-set qualitative comparative analysis of 5,008 iOS apps, we identify distinct configurations for both, apps without and with AI capability, that drive value. Our results contribute to research by i) extending the LMA framework to complement-level, ii) revealing the multiple solutions of complement configuration for consumer value, and iii) identifying differences in consumer value creation between complements without and with AI capability.
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19-SharingEconomy