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Journals / JOEEP: Journal of Emerging Economies and Policy / 2026 / Cilt: 10 Sayı: 1

Are We Ready for Artificial Intelligence? Comparative Causal Relationship of Origins Variables and Local Policy Implications

Yapay Zekâya Hazır mıyız? Köken Değişkenlerin Karşılaştırmalı Nedensel İlişkisi ve Yerel Politik Öneriler

Sergen Gürsoy(Alanya Alaaddin Keykubat Üniversitesi)0000-0002-9032-2999
Pages
409–421
Publication Date
2025-06-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the configuration findings, it has been determined that AI readiness is not dependent on a single variable but is determined by a combination of various factors according to the local context for countries.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aims to reveal the causal relationship between the stated value of 174 countries' readiness for artificial intelligence and its origin variables, to obtain asymmetric results and to identify local context-specific results.
📊
Key Findings & Data:The method of the research is fsQCA (fuzzy-set Qualitative Comparative Analysis).
💡
Conclusion & Impact:According to the configuration findings, it has been determined that AI readiness is not dependent on a single variable but is determined by a combination of various factors according to the local context for countries.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Çalışma Ekonomisi ve Endüstri İlişkileri · Yapay Zeka · Beşeri Sermaye

Abstract

This study aims to reveal the causal relationship between the stated value of 174 countries' readiness for artificial intelligence and its origin variables, to obtain asymmetric results and to identify local context-specific results. The method of the research is fsQCA (fuzzy-set Qualitative Comparative Analysis). According to the general findings, it has been determined that the presence/high level of all the condition variables for preparation for artificial intelligence is absolutely necessary and sufficient in the set-theoretical context. On the other hand, using the advantage of asymmetric findings, it was determined that the absence of DI and RE is absolutely necessary in the theoretical sense, while the other conditions are sufficient. According to the configuration findings, it has been determined that AI readiness is not dependent on a single variable but is determined by a combination of various factors according to the local context for countries.

Özet

Bu çalışma, 174 ülkenin yapay zekaya hazır olmasına yönelik belirtilen değerin, köken değişkenleri ile nedensel ilişkisini ortaya koymayı, asimetrik sonuçlar elde etmeyi ve buna yönelik olarak yerel bağlama özgü sonuçlar belirlemeyi amaçlamaktadır. Araştırmanın yöntemi fsQCA (fuzzy-set Qualitative Comparative Analysis) olarak seçilmiştir. Elde edilen genel bulgulara göre yapay zekaya hazırlık için koşul değişkenlerin tamamının varlığının/yüksek seviyede olmasının küme-teorik bağlamda mutlak gerekli ve yeterli olduğu belirlenmiştir. Öte yandan asimetrik bulguların avantajını kullanarak yapay zekaya hazır olmama durumlarına yönelik ortaya çıkarılan sonuca göre DI’nın ve RE’nin olmamasının teorik anlamda mutlak gerekli olduğu diğer koşulların ise yeterli olduğu belirlenmiştir. Konfigürasyon bulgularına göre ise yapay zekaya hazırlığın tek bir değişkene bağlı olmadığı ülkeler için yerel bağlama göre çeşitli etkenlerin bir kombinasyonu tarafından belirlendiği tespit edilmiştir.

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Cite This Article

Gürsoy, S. (2025). Are We Ready for Artificial Intelligence? Comparative Causal Relationship of Origins Variables and Local Policy Implications. JOEEP: Journal of Emerging Economies and Policy, Cilt: 10 Sayı: 1, 409–421. https://ajindex.com/articles/1504162

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