The mediating role of Artificial Intelligence on the relationship between intangible assets and equity market value: evidence from global context

Abstract While intangible assets (IA) are key drivers of equity market value (EMV) in the knowledge economy, the mediating role of artificial intelligence (AI) in this relationship varies globally. This study investigates the assumption that the value-creating interaction between intangible assets and artificial intelligence is uniform worldwide. The study tests the mediating role of artificial intelligence on the relationship between intangible assets and equity market value, and examines the moderator role of market type (Emerging vs. Developed). Using a longitudinal panel data (2020–2024) of a global sample from the Communication & Information Technology firms, we analyzed data using Generalized Method of Moments (GMM) regression. The results confirm the significant role of AI in the relationship between IA and EMV, and reveal a key difference between the market groups. The impact of IA and EMV on AI adoption is more transparent and more efficient in Developed Markets (DM). Similarly, the analysis reveals two key findings: first, AI has a substantial direct impact on developed-market (DM) firms; second, more critically, the synergistic interaction between AI and IA is significantly enhanced in this context. Consequently, our models explain a larger proportion of the variance in DM firm valuation, offering robust empirical confirmation of the hypothesized valuation gap. This study provides strong evidence that the resource-based view should be understood within the context of market-type frameworks. We identify the “IA-AI valuation gap” and outline specific strategic imperatives: Emerging Market (EM) firms need to focus on developing foundational (IA) before fully integrating deep AI. In contrast, Developed Market (DM) firms should concentrate on using AI to enhance the value of their existing IA. Policymakers should address this gap by strengthening key institutional supports, such as intellectual property protection and digital infrastructure.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-11-24
DOI
https://doi.org/10.1057/s41599-025-06146-3
Citations
1
Primary Topic
Intellectual Capital and Performance Analysis
Type
article
Field-Weighted Citation Impact
2.23
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article

The mediating role of Artificial Intelligence on the relationship between intangible assets and equity market value: evidence from global context

Sherif Ismail El-Halaby, Marwa Rabe Mohamed Elkmash, Shukri Mohamed
1 citations
Humanities and Social Sciences Communications
Intellectual Capital and Performance Analysis
2.23
article

The mediating role of Artificial Intelligence on the relationship between intangible assets and equity market value: evidence from global context

Sherif Ismail El-Halaby, Marwa Rabe Mohamed Elkmash, Shukri Mohamed
article en
1 citations

Abstract

Abstract While intangible assets (IA) are key drivers of equity market value (EMV) in the knowledge economy, the mediating role of artificial intelligence (AI) in this relationship varies globally. This study investigates the assumption that the value-creating interaction between intangible assets and artificial intelligence is uniform worldwide. The study tests the mediating role of artificial intelligence on the relationship between intangible assets and equity market value, and examines the moderator role of market type (Emerging vs. Developed). Using a longitudinal panel data (2020–2024) of a global sample from the Communication & Information Technology firms, we analyzed data using Generalized Method of Moments (GMM) regression. The results confirm the significant role of AI in the relationship between IA and EMV, and reveal a key difference between the market groups. The impact of IA and EMV on AI adoption is more transparent and more efficient in Developed Markets (DM). Similarly, the analysis reveals two key findings: first, AI has a substantial direct impact on developed-market (DM) firms; second, more critically, the synergistic interaction between AI and IA is significantly enhanced in this context. Consequently, our models explain a larger proportion of the variance in DM firm valuation, offering robust empirical confirmation of the hypothesized valuation gap. This study provides strong evidence that the resource-based view should be understood within the context of market-type frameworks. We identify the “IA-AI valuation gap” and outline specific strategic imperatives: Emerging Market (EM) firms need to focus on developing foundational (IA) before fully integrating deep AI. In contrast, Developed Market (DM) firms should concentrate on using AI to enhance the value of their existing IA. Policymakers should address this gap by strengthening key institutional supports, such as intellectual property protection and digital infrastructure.

Humanities and Social Sciences CommunicationsVol. 12(1)
Cairo University (EG), Ajman University (AE), City University Ajman (AE), October University of Modern Sciences and Arts (EG)
Openalex Percentile: Top 8%
Intellectual Capital and Performance Analysis
2.23
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