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Exploring the interaction between competitiveness of a country and innovation using Bayesian networks

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  • Esma Nur Cinicioglu
  • Gündüz Ulusoy
  • Şule Önsel Ekici
  • Füsun Ülengin
  • Burç Ülengin

Abstract

Innovation cannot be related only to some factors inherent in the environment of a country, nor is it a single entity to be managed without any linkages to the rest of the actors comprising the competitiveness of a country. World Economic Forum (WEF)’s competitiveness model consisting of 12 pillars and 19 sub-pillars is an attempt along these lines. By analysing the interaction between the Innovation pillar and the remaining 11 pillars and their sub-pillars comprising the competitiveness indicators, this paper aims to provide strategic guidelines to policy-makers who search for strategies to improve their country’s innovativeness level. For this purpose, WEF’s Global Competitiveness Index data for the period (2009-2012) is employed. The innovation performance of 148 countries is analysed using an integrated cluster analysis and a Bayesian Network (BN) framework. The use of BNs enables us to discover the probabilistic dependency structure of competitiveness indicators and its innovation performance, which may be analysed in more detail through evidence observation and sensitivity analyses conducted in the network. Thus, with this research, presenting the multidimensional nature between competitiveness indicators and Innovation, a decision support tool for policy-makers is presented, which can be used to form strategy guidelines for enhancing a country’s Innovation level.

Suggested Citation

  • Esma Nur Cinicioglu & Gündüz Ulusoy & Şule Önsel Ekici & Füsun Ülengin & Burç Ülengin, 2017. "Exploring the interaction between competitiveness of a country and innovation using Bayesian networks," Innovation and Development, Taylor & Francis Journals, vol. 7(2), pages 175-209, July.
    • Handle: RePEc:taf:riadxx:v:7:y:2017:i:2:p:175-209
    DOI: 10.1080/2157930X.2017.1292617
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    Citations

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    Cited by:

    1. Omar A. Guerrero & Gonzalo Castañeda, 2021. "Quantifying the coherence of development policy priorities," Development Policy Review, Overseas Development Institute, vol. 39(2), pages 155-180, March.
    2. Omar A. Guerrero & Gonzalo Casta~neda, 2019. "Quantifying the Coherence of Development Policy Priorities," Papers 1902.00430, arXiv.org.
    3. Castañeda, Gonzalo & Chávez-Juárez, Florian & Guerrero, Omar A., 2018. "How do governments determine policy priorities? Studying development strategies through spillover networks," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 335-361.
    4. Esma Nur Cinicioglu & Gül Huyugüzel Kışla & A. Özlem Önder & Y. Gülnur Muradoğlu, 2024. "The Changing Behavior of the European Credit Default Swap Spreads During the Covid-19 Pandemic: A Bayesian Network Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1213-1254, March.
    5. Qazi, Abroon, 2023. "Exploring Global Competitiveness Index 4.0 through the lens of country risk," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

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