The Impact of Digital Quality of Life on Artificial Intelligence Development: A Case Study Using the DQL and AIRI Indexes

Research background: This study examines the relationship between Digital Quality of Life (DQL) and Artificial Intelligence (AI) readiness across European countries, utilizing the Digital Quality of Life (DQL) and AI Readiness Index (AIRI) as assessment tools. Purpose of the article: The aim is to identify correlations and potential causal relationships, assessing how indicators of digital well-being, such as internet quality and e-governance, align with a nation's preparedness for AI integration. The research focuses on 39 European countries, selected for geographic diversity, economic status, and digital infrastructure, allowing for a comprehensive comparison. Methods: Through correlation analysis and regression models, the study investigates how dimensions of DQL influence AI readiness. Findings reveal a high correlation between DQL and AIRI (0.8796), particularly with electronic governance (0.9338) and electronic infrastructure (0.8819), underscoring the importance of robust digital systems for AI adoption. Lesser but significant correlations were observed in internet quality and affordability, suggesting they contribute to digital quality but are not as directly associated with AI readiness. The regression analysis identifies key DQL dimensions (Electronic Infrastructure, Electronic Security, and Electronic Government) as significant predictors of AIRI, with an R² value of 0.9210, indicating high explanatory power. Findings & Value added: These results highlight the importance of investing in digital infrastructure and cybersecurity to create an environment supportive of AI integration. The study suggests that countries with advanced digital infrastructures are better positioned for AI adoption, while those with lower DQL levels may face challenges in technological readiness. Findings emphasize the need for targeted policies to enhance DQL components, especially in regions lagging in digital advancements, to facilitate comprehensive AI integration and drive technological growth across Europe.

Publication Details

Journal
Ekonomicko-manazerske spektrum
Published
2024-12-31
DOI
https://doi.org/10.26552/ems.2024.2.24-37
Citations
3
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
1.04
Controls
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article

The Impact of Digital Quality of Life on Artificial Intelligence Development: A Case Study Using the DQL and AIRI Indexes

3 citations
Ekonomicko-manazerske spektrum
Geochemistry and Geologic Mapping
1.04
article

The Impact of Digital Quality of Life on Artificial Intelligence Development: A Case Study Using the DQL and AIRI Indexes

article en
3 citations

Abstract

Research background: This study examines the relationship between Digital Quality of Life (DQL) and Artificial Intelligence (AI) readiness across European countries, utilizing the Digital Quality of Life (DQL) and AI Readiness Index (AIRI) as assessment tools. Purpose of the article: The aim is to identify correlations and potential causal relationships, assessing how indicators of digital well-being, such as internet quality and e-governance, align with a nation's preparedness for AI integration. The research focuses on 39 European countries, selected for geographic diversity, economic status, and digital infrastructure, allowing for a comprehensive comparison. Methods: Through correlation analysis and regression models, the study investigates how dimensions of DQL influence AI readiness. Findings reveal a high correlation between DQL and AIRI (0.8796), particularly with electronic governance (0.9338) and electronic infrastructure (0.8819), underscoring the importance of robust digital systems for AI adoption. Lesser but significant correlations were observed in internet quality and affordability, suggesting they contribute to digital quality but are not as directly associated with AI readiness. The regression analysis identifies key DQL dimensions (Electronic Infrastructure, Electronic Security, and Electronic Government) as significant predictors of AIRI, with an R² value of 0.9210, indicating high explanatory power. Findings & Value added: These results highlight the importance of investing in digital infrastructure and cybersecurity to create an environment supportive of AI integration. The study suggests that countries with advanced digital infrastructures are better positioned for AI adoption, while those with lower DQL levels may face challenges in technological readiness. Findings emphasize the need for targeted policies to enhance DQL components, especially in regions lagging in digital advancements, to facilitate comprehensive AI integration and drive technological growth across Europe.

Ekonomicko-manazerske spektrumVol. 18(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Geochemistry and Geologic Mapping
1.04
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