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A data-envelopment analysis-based systematic review of the literature on innovation performance

Innovation imbued in every sector in every part of the world is essential to growth and development. The National Innovation Systems (NIS) use their resources to support economies in different countries foster a novel environment. Therefore, this study is an attempt to examine the efficiency of NIS...

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Autores principales: Narayanan, Elangovan, binti Ismail, Wan Rosmanira, bin Mustafa, Zainol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732329/
https://www.ncbi.nlm.nih.gov/pubmed/36506397
http://dx.doi.org/10.1016/j.heliyon.2022.e11925
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author Narayanan, Elangovan
binti Ismail, Wan Rosmanira
bin Mustafa, Zainol
author_facet Narayanan, Elangovan
binti Ismail, Wan Rosmanira
bin Mustafa, Zainol
author_sort Narayanan, Elangovan
collection PubMed
description Innovation imbued in every sector in every part of the world is essential to growth and development. The National Innovation Systems (NIS) use their resources to support economies in different countries foster a novel environment. Therefore, this study is an attempt to examine the efficiency of NIS as measured by scholars in the past using Data Envelopment Analysis (DEA). Through a systematic literature review, this study aims to show the current dearth of studies on the efficiency of NIS. The literature is categorized accordingly and provides a framework with recommendations for future research. With the advent of technical tools, DEA programming methods other than traditional DEA such as network, relational network, dynamic network, slack based model, and super efficiency DEA have emerged. This enables the calculation of innovation efficiency to be efficient and reliable. As a result, DEA is regarded as a powerful tool for assessing the relative efficiency of NIS, which employs multiple inputs to generate multiple outputs. The results also suggest that future research is needed on the efficiency of innovation by paying more attention to cross-countries studies based on regions, geographical areas, participation in free trade blocs, and a group of tie-up countries involved, especially with comparative analyses regardless of the country classification. Another important observation is that there are few studies that focus on the efficiency of middle- and low-income countries. The comparative analysis of innovation efficiency across income groups enables NIS to benchmark itself against best-in-class innovators and improve their innovation performance and ranking. These findings provide an opportunity to further investigate how NIS add value and sustainability to countries by improving resource management capabilities to improve innovation efficiency.
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spelling pubmed-97323292022-12-10 A data-envelopment analysis-based systematic review of the literature on innovation performance Narayanan, Elangovan binti Ismail, Wan Rosmanira bin Mustafa, Zainol Heliyon Review Article Innovation imbued in every sector in every part of the world is essential to growth and development. The National Innovation Systems (NIS) use their resources to support economies in different countries foster a novel environment. Therefore, this study is an attempt to examine the efficiency of NIS as measured by scholars in the past using Data Envelopment Analysis (DEA). Through a systematic literature review, this study aims to show the current dearth of studies on the efficiency of NIS. The literature is categorized accordingly and provides a framework with recommendations for future research. With the advent of technical tools, DEA programming methods other than traditional DEA such as network, relational network, dynamic network, slack based model, and super efficiency DEA have emerged. This enables the calculation of innovation efficiency to be efficient and reliable. As a result, DEA is regarded as a powerful tool for assessing the relative efficiency of NIS, which employs multiple inputs to generate multiple outputs. The results also suggest that future research is needed on the efficiency of innovation by paying more attention to cross-countries studies based on regions, geographical areas, participation in free trade blocs, and a group of tie-up countries involved, especially with comparative analyses regardless of the country classification. Another important observation is that there are few studies that focus on the efficiency of middle- and low-income countries. The comparative analysis of innovation efficiency across income groups enables NIS to benchmark itself against best-in-class innovators and improve their innovation performance and ranking. These findings provide an opportunity to further investigate how NIS add value and sustainability to countries by improving resource management capabilities to improve innovation efficiency. Elsevier 2022-11-30 /pmc/articles/PMC9732329/ /pubmed/36506397 http://dx.doi.org/10.1016/j.heliyon.2022.e11925 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Narayanan, Elangovan
binti Ismail, Wan Rosmanira
bin Mustafa, Zainol
A data-envelopment analysis-based systematic review of the literature on innovation performance
title A data-envelopment analysis-based systematic review of the literature on innovation performance
title_full A data-envelopment analysis-based systematic review of the literature on innovation performance
title_fullStr A data-envelopment analysis-based systematic review of the literature on innovation performance
title_full_unstemmed A data-envelopment analysis-based systematic review of the literature on innovation performance
title_short A data-envelopment analysis-based systematic review of the literature on innovation performance
title_sort data-envelopment analysis-based systematic review of the literature on innovation performance
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732329/
https://www.ncbi.nlm.nih.gov/pubmed/36506397
http://dx.doi.org/10.1016/j.heliyon.2022.e11925
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