How Can the Artificial Intelligence of Things Create Public Value? Lessons Learned from Use Cases

Abstract

The Artificial Intelligence of Things (AIoT) has the potential to create new public value. However, its application in government is in an early stage. This study identifies three technological capabilities—sensing, analytics, and controlling—as building blocks of an AIoT system and then proposes four value creation models that configure the building blocks differently. This research analyzes four use cases of AIoT systems deployed in the public transport sector that match the value creation models. Based on the analysis of the use cases, this study identifies critical success factors for public AIoT applications and makes recommendations to government leaders for creating public value through the effective deployment of AIoT systems. It concludes with discussion of limitations and future research areas.