Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives

This study applies a network data envelopment analysis model called network slacks-based measure (NSBM) to examine the R&D efficiency and socio-economic efficiency of Taiwan's dual-use (military and general public) technology development programs. We also employ the additive super-efficienc...

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Main Authors: Lu W.-M., Kweh Q.L., Nourani M., Huang F.-W.
Other Authors: 25625212800
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-227022023-05-29T14:11:43Z Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives Lu W.-M. Kweh Q.L. Nourani M. Huang F.-W. 25625212800 55661469500 57189315827 56828531300 This study applies a network data envelopment analysis model called network slacks-based measure (NSBM) to examine the R&D efficiency and socio-economic efficiency of Taiwan's dual-use (military and general public) technology development programs. We also employ the additive super-efficiency model to distinguish programs at different stages and conduct an analysis on the strengths and weaknesses of internal resource utilization. The results of this study show that the R&D efficiency is substantially higher than the socio-economic efficiency. Among the dual-use technology development programs, material and chemical engineering programs demonstrate relatively higher performance. This study provides insights into the policy of resource utilization. � 2015 Elsevier Ltd. Final 2023-05-29T06:11:43Z 2023-05-29T06:11:43Z 2016 Article 10.1016/j.omega.2015.08.011 2-s2.0-84941248425 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941248425&doi=10.1016%2fj.omega.2015.08.011&partnerID=40&md5=48772f1f06d3cc929b37b37284737b7d https://irepository.uniten.edu.my/handle/123456789/22702 62 82 92 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This study applies a network data envelopment analysis model called network slacks-based measure (NSBM) to examine the R&D efficiency and socio-economic efficiency of Taiwan's dual-use (military and general public) technology development programs. We also employ the additive super-efficiency model to distinguish programs at different stages and conduct an analysis on the strengths and weaknesses of internal resource utilization. The results of this study show that the R&D efficiency is substantially higher than the socio-economic efficiency. Among the dual-use technology development programs, material and chemical engineering programs demonstrate relatively higher performance. This study provides insights into the policy of resource utilization. � 2015 Elsevier Ltd.
author2 25625212800
author_facet 25625212800
Lu W.-M.
Kweh Q.L.
Nourani M.
Huang F.-W.
format Article
author Lu W.-M.
Kweh Q.L.
Nourani M.
Huang F.-W.
spellingShingle Lu W.-M.
Kweh Q.L.
Nourani M.
Huang F.-W.
Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives
author_sort Lu W.-M.
title Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives
title_short Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives
title_full Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives
title_fullStr Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives
title_full_unstemmed Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives
title_sort evaluating the efficiency of dual-use technology development programs from the r&d and socio-economic perspectives
publisher Elsevier Ltd
publishDate 2023
_version_ 1806425800298201088
score 13.211869