Comparative-fuzzy Analysis of National Innovation Capability Based on Results of Dynamic Network DEA Model

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Titel: Comparative-fuzzy Analysis of National Innovation Capability Based on Results of Dynamic Network DEA Model
Autoren: Behrouz Dorri Nokorani, Mohammad Ali Torabandeh, Alireza Motameni, Masood Rabieh
Quelle: چشم‌انداز مدیریت صنعتی, Vol 11, Iss 2, Pp 207-246 (2021)
Verlagsinformationen: CMV Verlag, 2021.
Publikationsjahr: 2021
Schlagwörter: k-means clustering method, dynamic network dea, fuzzy set qualitative comparative analysis, bibliometric analysis, 9. Industry and infrastructure, 0502 economics and business, 05 social sciences, Management. Industrial management, HD28-70, national innovation capability
Beschreibung: In this article, by presenting the scope of national innovation capability in the context of a multi-sector system, a dynamic network model is introduced. In this system, to identify Iran's performance problem, at first by bibliometric studying and holding focus group sessions with experts, the steps and indicators of the processed model were identified and designed. Then, the dynamic network data envelopment analysis model was implemented to compare Iran's performance with other countries. The model results indicated that Iran's national innovation capability has a poor performance in the third phase of its three steps that include converting patents to high-tech products and creative goods. Then, to present the proposed policy to enhance Iran’s performance in the third step of the mentioned model, by using qualitative comparative analysis of fuzzy set (fSQCA), the combinations of institutional, human capital and research, infrastructure, market sophistication, and business sophistication dimensions were investigated. For calibration of these data, K-MEANS clustering method was used. The output of the mentioned comparative analysis indicated that the combination of the two dimensions of institutions and human capital and research in promoting the country's performance is sufficient.
Publikationsart: Article
Other literature type
Sprache: English
ISSN: 2251-9874
DOI: 10.52547/jimp.11.2.207
Zugangs-URL: https://doaj.org/article/67f10cd860fb46d9a5dce7fed0dfd8eb
https://jimp.sbu.ac.ir/article_101163_d1850b110e80f20e4bf77a4cd7c38604.pdf
https://jimp.sbu.ac.ir/article_101163.html
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  Data: Comparative-fuzzy Analysis of National Innovation Capability Based on Results of Dynamic Network DEA Model
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Behrouz+Dorri+Nokorani%22">Behrouz Dorri Nokorani</searchLink><br /><searchLink fieldCode="AR" term="%22Mohammad+Ali+Torabandeh%22">Mohammad Ali Torabandeh</searchLink><br /><searchLink fieldCode="AR" term="%22Alireza+Motameni%22">Alireza Motameni</searchLink><br /><searchLink fieldCode="AR" term="%22Masood+Rabieh%22">Masood Rabieh</searchLink>
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  Data: چشم‌انداز مدیریت صنعتی, Vol 11, Iss 2, Pp 207-246 (2021)
– Name: Publisher
  Label: Publisher Information
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  Data: CMV Verlag, 2021.
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2021
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  Data: <searchLink fieldCode="DE" term="%22k-means+clustering+method%22">k-means clustering method</searchLink><br /><searchLink fieldCode="DE" term="%22dynamic+network+dea%22">dynamic network dea</searchLink><br /><searchLink fieldCode="DE" term="%22fuzzy+set+qualitative+comparative+analysis%22">fuzzy set qualitative comparative analysis</searchLink><br /><searchLink fieldCode="DE" term="%22bibliometric+analysis%22">bibliometric analysis</searchLink><br /><searchLink fieldCode="DE" term="%229%2E+Industry+and+infrastructure%22">9. Industry and infrastructure</searchLink><br /><searchLink fieldCode="DE" term="%220502+economics+and+business%22">0502 economics and business</searchLink><br /><searchLink fieldCode="DE" term="%2205+social+sciences%22">05 social sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Management%2E+Industrial+management%22">Management. Industrial management</searchLink><br /><searchLink fieldCode="DE" term="%22HD28-70%22">HD28-70</searchLink><br /><searchLink fieldCode="DE" term="%22national+innovation+capability%22">national innovation capability</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: In this article, by presenting the scope of national innovation capability in the context of a multi-sector system, a dynamic network model is introduced. In this system, to identify Iran's performance problem, at first by bibliometric studying and holding focus group sessions with experts, the steps and indicators of the processed model were identified and designed. Then, the dynamic network data envelopment analysis model was implemented to compare Iran's performance with other countries. The model results indicated that Iran's national innovation capability has a poor performance in the third phase of its three steps that include converting patents to high-tech products and creative goods. Then, to present the proposed policy to enhance Iran’s performance in the third step of the mentioned model, by using qualitative comparative analysis of fuzzy set (fSQCA), the combinations of institutional, human capital and research, infrastructure, market sophistication, and business sophistication dimensions were investigated. For calibration of these data, K-MEANS clustering method was used. The output of the mentioned comparative analysis indicated that the combination of the two dimensions of institutions and human capital and research in promoting the country's performance is sufficient.
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  Data: 10.52547/jimp.11.2.207
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        Value: 10.52547/jimp.11.2.207
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      – Text: English
    PhysicalDescription:
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        PageCount: 40
        StartPage: 207
    Subjects:
      – SubjectFull: k-means clustering method
        Type: general
      – SubjectFull: dynamic network dea
        Type: general
      – SubjectFull: fuzzy set qualitative comparative analysis
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      – SubjectFull: HD28-70
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      – SubjectFull: national innovation capability
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      – TitleFull: Comparative-fuzzy Analysis of National Innovation Capability Based on Results of Dynamic Network DEA Model
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            NameFull: Behrouz Dorri Nokorani
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            NameFull: Mohammad Ali Torabandeh
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            NameFull: Alireza Motameni
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