Digitalisation of International Trade in Intellectual Properties: An Approach Based on the Utility Theory of Technology Value

ABSTRACT In the era of globalisation and digital transformation, international trade has expanded beyond traditional goods and services to include the exchange of intellectual properties (IPs), particularly technology. As intangible assets become key drivers of global economic growth, accurately valuing them remains a complex challenge due to their inherent creativity, complexity and uncertainty. This study proposes a novel framework grounded in utility theory to assess technology value within the context of international IP trade. By integrating the utility theory of value and the literature on technology and venture investment into a cohesive model, the framework captures four key attributes of technology value: utility size, quality, delivery and risk. To operationalise this framework, we introduce a valuation method that leverages artificial intelligence (AI) and big data analytics. This AI‐powered approach enhances the objectivity, efficiency, affordability and scalability of technology valuation, enabling more transparent, data‐driven IP trade globally.

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Publication Details

Journal
World Economy
Published
2026-02-12
DOI
https://doi.org/10.1111/twec.70072
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
0.00
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article

Digitalisation of International Trade in Intellectual Properties: An Approach Based on the Utility Theory of Technology Value

Jing Zhang, Xiaolan Fu, Chao Ai
World Economy
Economic and Technological Innovation
article

Digitalisation of International Trade in Intellectual Properties: An Approach Based on the Utility Theory of Technology Value

Jing Zhang, Xiaolan Fu, Chao Ai
article en

Abstract

ABSTRACT In the era of globalisation and digital transformation, international trade has expanded beyond traditional goods and services to include the exchange of intellectual properties (IPs), particularly technology. As intangible assets become key drivers of global economic growth, accurately valuing them remains a complex challenge due to their inherent creativity, complexity and uncertainty. This study proposes a novel framework grounded in utility theory to assess technology value within the context of international IP trade. By integrating the utility theory of value and the literature on technology and venture investment into a cohesive model, the framework captures four key attributes of technology value: utility size, quality, delivery and risk. To operationalise this framework, we introduce a valuation method that leverages artificial intelligence (AI) and big data analytics. This AI‐powered approach enhances the objectivity, efficiency, affordability and scalability of technology valuation, enabling more transparent, data‐driven IP trade globally.

World Economy
Department for International Development (GB), University of Nottingham (GB), University of Macau (MO), Huawei Technologies (China) (CN)
Openalex Percentile: Top 62%
Economic and Technological Innovation
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