Regulatory orchestration in immersive retail innovation systems: A capability-based framework for AI and XR governance

Immersive retail technologies, including AI-driven personalisation, augmented and virtual reality, biometric and affective analytics, spatial computing, and metaverse environments, are transforming consumer experiences and retail innovation systems. However, they also pose systemic governance challenges related to data protection, algorithmic bias, behavioural manipulation, surveillance, platform concentration, and consumer vulnerability. Existing studies typically portray regulators as external rule-setters, compliance authorities, or providers of regulatory instruments, overlooking the organisational capabilities by which they influence innovation system dynamics. This conceptual paper develops a capability-based framework of regulatory orchestration in immersive retail innovation systems by integrating innovation systems theory, regulatory science, dynamic capabilities, and orchestration research. It identifies five regulatory orchestrator capabilities: sensing and sensemaking, experimentation and adaptation, co-creation and boundary spanning, orchestration and coordination, and reflexive learning and meta-regulation. These capabilities are enacted through regulatory sandboxes, audits, impact assessments, standards, codes of conduct, post-market monitoring, and cross-agency coordination. By linking these capabilities to knowledge development, entrepreneurial experimentation, legitimation, market formation, coordination, directionality, and reflexivity, the framework explains how regulators can reduce uncertainty, address knowledge and power asymmetries, and guide AI and XR retail innovation towards responsible and socially aligned outcomes. It therefore conceptualises regulators as active participants in innovation systems.

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Publication Details

Journal
Technological Forecasting and Social Change
Published
2026-08-15
DOI
https://doi.org/10.1016/j.techfore.2026.124844
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Regulatory orchestration in immersive retail innovation systems: A capability-based framework for AI and XR governance

Rosa Palladino, Federica Caboni, Demetris Vrontis, Lucia Pizzichini
Technological Forecasting and Social Change
Ethics and Social Impacts of AI
article

Regulatory orchestration in immersive retail innovation systems: A capability-based framework for AI and XR governance

Rosa Palladino, Federica Caboni, Demetris Vrontis, Lucia Pizzichini
article en

Abstract

Immersive retail technologies, including AI-driven personalisation, augmented and virtual reality, biometric and affective analytics, spatial computing, and metaverse environments, are transforming consumer experiences and retail innovation systems. However, they also pose systemic governance challenges related to data protection, algorithmic bias, behavioural manipulation, surveillance, platform concentration, and consumer vulnerability. Existing studies typically portray regulators as external rule-setters, compliance authorities, or providers of regulatory instruments, overlooking the organisational capabilities by which they influence innovation system dynamics. This conceptual paper develops a capability-based framework of regulatory orchestration in immersive retail innovation systems by integrating innovation systems theory, regulatory science, dynamic capabilities, and orchestration research. It identifies five regulatory orchestrator capabilities: sensing and sensemaking, experimentation and adaptation, co-creation and boundary spanning, orchestration and coordination, and reflexive learning and meta-regulation. These capabilities are enacted through regulatory sandboxes, audits, impact assessments, standards, codes of conduct, post-market monitoring, and cross-agency coordination. By linking these capabilities to knowledge development, entrepreneurial experimentation, legitimation, market formation, coordination, directionality, and reflexivity, the framework explains how regulators can reduce uncertainty, address knowledge and power asymmetries, and guide AI and XR retail innovation towards responsible and socially aligned outcomes. It therefore conceptualises regulators as active participants in innovation systems.

Technological Forecasting and Social ChangeVol. 232
National Research University Higher School of Economics (RU), University of Cagliari (IT), University of Nicosia (CY), Italian University Line (IT), Pegaso University (IT), Mediterranean Institute of Management (CY), Singapore Management University (SG), Jönköping University (SE)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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