Paper Type
Complete
Abstract
Software-Defined Vehicles (SDVs) redefine automotive innovation through dynamic software–hardware integration, yet their development poses significant collaboration challenges across heterogeneous ecosystem partners. This study investigates how Boundary Resources (BRs) enable collaborative SDV application development on a pre-competitive platform. Using Action Design Research across six multi-partner use cases, we inductively identify three interrelated clusters of BRs: (1) technical abstraction and deployment mechanisms (“shift north”), (2) early validation and user feedback mechanisms (“shift left”), and (3) partner collaboration and third-party integration mechanisms. Our findings show how these BR clusters jointly shape collaboration by standardizing interactions, enabling hardware abstraction, and facilitating early-stage validation across distributed actors. We further observe that the relevance of specific BRs differs across complementor types (e.g., AI providers vs. hardware vendors), indicating differentiated engagement needs. The study advances research on platform ecosystems in cyber-physical contexts and offers practical guidance for SDV platform design.
Paper Number
1149
Recommended Citation
Cheng, Xiangwei; Morar, Dominik; and Slama, Dirk, "From Silos to Synergy: How Boundary Resources Shape Collaboration in Software-Defined Vehicle Ecosystems" (2026). AMCIS 2026 Proceedings. 1.
https://aisel.aisnet.org/amcis2026/sig_dspe/sig_dspe/1
From Silos to Synergy: How Boundary Resources Shape Collaboration in Software-Defined Vehicle Ecosystems
Software-Defined Vehicles (SDVs) redefine automotive innovation through dynamic software–hardware integration, yet their development poses significant collaboration challenges across heterogeneous ecosystem partners. This study investigates how Boundary Resources (BRs) enable collaborative SDV application development on a pre-competitive platform. Using Action Design Research across six multi-partner use cases, we inductively identify three interrelated clusters of BRs: (1) technical abstraction and deployment mechanisms (“shift north”), (2) early validation and user feedback mechanisms (“shift left”), and (3) partner collaboration and third-party integration mechanisms. Our findings show how these BR clusters jointly shape collaboration by standardizing interactions, enabling hardware abstraction, and facilitating early-stage validation across distributed actors. We further observe that the relevance of specific BRs differs across complementor types (e.g., AI providers vs. hardware vendors), indicating differentiated engagement needs. The study advances research on platform ecosystems in cyber-physical contexts and offers practical guidance for SDV platform design.
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