Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis

<p dir="ltr">The aim of this study is to propose a novel analytical framework to evaluate the national <u>innovation system</u> (NIS) based on dynamic-network <u>data envelopment analysis</u>. This framework is then applied to a sample of 23 countries involved...

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Main Author: Abdel Latef Anouze (22302823) (author)
Other Authors: May Mohamed Al Khalifa (22302826) (author), Odeh Rashed Al-Jayyousi (22302829) (author)
Published: 2024
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author Abdel Latef Anouze (22302823)
author2 May Mohamed Al Khalifa (22302826)
Odeh Rashed Al-Jayyousi (22302829)
author2_role author
author
author_facet Abdel Latef Anouze (22302823)
May Mohamed Al Khalifa (22302826)
Odeh Rashed Al-Jayyousi (22302829)
author_role author
dc.creator.none.fl_str_mv Abdel Latef Anouze (22302823)
May Mohamed Al Khalifa (22302826)
Odeh Rashed Al-Jayyousi (22302829)
dc.date.none.fl_str_mv 2024-06-26T15:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.seps.2024.102003
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Reevaluating_national_innovation_systems_An_index_based_on_dynamic-network_data_envelopment_analysis/30197179
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Manufacturing engineering
Information and computing sciences
Data management and data science
National innovation system
Oil producer countries
Dynamic network data envelopment analysis
dc.title.none.fl_str_mv Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">The aim of this study is to propose a novel analytical framework to evaluate the national <u>innovation system</u> (NIS) based on dynamic-network <u>data envelopment analysis</u>. This framework is then applied to a sample of 23 countries involved in oil production, enabling a comparative analysis of their performance in relation to the top 10 innovative countries as determined by the Global Innovation Index (GII). Unlike the GII, the proposed framework measures the efficiency score of each NIS, generates a new index based on these scores, suggests a set of target policies for countries aiming to improve their ranks, and conducts an in-depth <u>longitudinal analysis</u> to identify the underlying factors influencing efficiency dynamic over time. The empirical results show that the efficiency of the selected countries remains relatively steady over the designated study period. Upon closer examination at the country level, it becomes evident that <u>Korea</u> and Sweden emerge as the frontrunners in terms of performance, thereby establishing themselves as leaders in the field of innovation. Germany and Ukraine are identified as leaders in knowledge development, whereas Romania and Singapore are recognized as leaders in knowledge commercialization. To enhance the performance of the inefficient NIS, this study proposes targeted improvement policies, prioritizing underperforming countries to elevate their overall innovation system. These policy interventions aim to bridge the gap between the least efficient nations and global best practices, fostering a more competitive innovation landscape. Ultimately, the proposed analytical framework holds the potential to foster the performance of each country's national innovation system.</p><h2>Other Information</h2><p dir="ltr">Published in: Socio-Economic Planning Sciences<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.seps.2024.102003" target="_blank">https://dx.doi.org/10.1016/j.seps.2024.102003</a></p>
eu_rights_str_mv openAccess
id Manara2_fce5e22e2eb6570b26e3fa3ef7a2fa9e
identifier_str_mv 10.1016/j.seps.2024.102003
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/30197179
publishDate 2024
repository.mail.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysisAbdel Latef Anouze (22302823)May Mohamed Al Khalifa (22302826)Odeh Rashed Al-Jayyousi (22302829)EngineeringManufacturing engineeringInformation and computing sciencesData management and data scienceNational innovation systemOil producer countriesDynamic network data envelopment analysis<p dir="ltr">The aim of this study is to propose a novel analytical framework to evaluate the national <u>innovation system</u> (NIS) based on dynamic-network <u>data envelopment analysis</u>. This framework is then applied to a sample of 23 countries involved in oil production, enabling a comparative analysis of their performance in relation to the top 10 innovative countries as determined by the Global Innovation Index (GII). Unlike the GII, the proposed framework measures the efficiency score of each NIS, generates a new index based on these scores, suggests a set of target policies for countries aiming to improve their ranks, and conducts an in-depth <u>longitudinal analysis</u> to identify the underlying factors influencing efficiency dynamic over time. The empirical results show that the efficiency of the selected countries remains relatively steady over the designated study period. Upon closer examination at the country level, it becomes evident that <u>Korea</u> and Sweden emerge as the frontrunners in terms of performance, thereby establishing themselves as leaders in the field of innovation. Germany and Ukraine are identified as leaders in knowledge development, whereas Romania and Singapore are recognized as leaders in knowledge commercialization. To enhance the performance of the inefficient NIS, this study proposes targeted improvement policies, prioritizing underperforming countries to elevate their overall innovation system. These policy interventions aim to bridge the gap between the least efficient nations and global best practices, fostering a more competitive innovation landscape. Ultimately, the proposed analytical framework holds the potential to foster the performance of each country's national innovation system.</p><h2>Other Information</h2><p dir="ltr">Published in: Socio-Economic Planning Sciences<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.seps.2024.102003" target="_blank">https://dx.doi.org/10.1016/j.seps.2024.102003</a></p>2024-06-26T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.seps.2024.102003https://figshare.com/articles/journal_contribution/Reevaluating_national_innovation_systems_An_index_based_on_dynamic-network_data_envelopment_analysis/30197179CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/301971792024-06-26T15:00:00Z
spellingShingle Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis
Abdel Latef Anouze (22302823)
Engineering
Manufacturing engineering
Information and computing sciences
Data management and data science
National innovation system
Oil producer countries
Dynamic network data envelopment analysis
status_str publishedVersion
title Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis
title_full Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis
title_fullStr Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis
title_full_unstemmed Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis
title_short Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis
title_sort Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis
topic Engineering
Manufacturing engineering
Information and computing sciences
Data management and data science
National innovation system
Oil producer countries
Dynamic network data envelopment analysis