Journals / Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2017 / Cilt: 35 - Sayı: 3

MODELING NATIONAL INNOVATION SYSTEMS OF EU COUNTRIES USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM)

Pages
19–42
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

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

The developed model enables decision makers concerned with innovation to comprehend the dynamics of innovation systemically and to have valid and reliable variables which represent the antecedents of national innovation capabilities of the EU countries.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Considering the strategic importance of innovation activities, various studies have been employed pertaining to gauging innovation performance both micro and macro levels.
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Key Findings & Data:While theoretical frameworks to identify and measure capabilities of the national innovation systems (NISs) of countries do exist, what remains striking is the lack of thorough account of the structural and dependence relationships expressed in a series of equations.
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Conclusion & Impact:The developed model enables decision makers concerned with innovation to comprehend the dynamics of innovation systemically and to have valid and reliable variables which represent the antecedents of national innovation capabilities of the EU countries.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Ulusal inovasyon sistemleri · kısmi en küçük kareler-yapısal eşitlik modeli · İnovasyonun öncülleri

Abstract

Considering the strategic importance of innovation activities, various studies have been employed pertaining to gauging innovation performance both micro and macro levels. While theoretical frameworks to identify and measure capabilities of the national innovation systems (NISs) of countries do exist, what remains striking is the lack of thorough account of the structural and dependence relationships expressed in a series of equations. Dedicated to remedy this research gap of the literature, the main purpose of this study is to develop and test a hypothesized model through the PLS-SEM approach for the NISs of European countries. The developed model enables decision makers concerned with innovation to comprehend the dynamics of innovation systemically and to have valid and reliable variables which represent the antecedents of national innovation capabilities of the EU countries.

Özet

İnovasyon faaliyetlerinin stratejik önemi dikkate alınarak mikro ve makro düzeyde inovasyon performansını ölçen birçok çalışma yapılmıştır. Ülkelerin ulusal inovasyon sistemlerinin yeteneğini tanımlayan ve ölçen teorik çerçeveler mevcut olmakla beraber, bu sistemlerdeki yapısal ve bağımlılık ilişkilerini inceleyen sağlam matematiksel modeller yeterli değildir. Literatürdeki bu boşluğu doldurmak adına, bu çalışmada kısmi en küçük kareler-yapısal eşitlik modeli ile AB ülkelerinin ulusal inovasyon sistemleri için bir model geliştirmek ve bu modeli test etmek amaçlanmıştır. Geliştirilen model inovasyonla ilgili karar vericilerin inovasyonun dinamiklerini sistematik olarak kavramasını ve AB ülkelerinin ulusal inovasyon yeteneklerinin öncüllerini temsil eden geçerli ve güvenilir değişkenleri belirlemelerini sağlamaktadır.

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Cite This Article

ÇAKIR, S. (2022). MODELING NATIONAL INNOVATION SYSTEMS OF EU COUNTRIES USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM). Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 35 - Sayı: 3, 19–42. https://ajindex.com/articles/533006

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