دانلود رایگان مقاله ارزیابی کارایی برنامه های توسعه فناوری دو منظوره از تحقیق و توسعه و دیدگاه های اجتماعی و اقتصادی

abstract

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.

5.4 Discussions

The results of this study convey a number of important messages to the managers of the CSIST. First, the active reinforcements of benefits and strict management of IPs have to be promoted. In fact, there is a vital need for the improvement of socio-economic benefits through systematic integration and well marketed technology incentives. Second, the CSIST authorities must give a careful contemplation of organizational positioning and selection of DuTDPs. Such thoughtful positioning will amplify the niche strengths of the CSIST in specific categories. While the materials and chemical category is the core competency of the CSIST, the socio-economic deficiency of biotechnology and pharmaceutics category should receive an attentive consideration. Third, the current organizational transformation of the CSIST has to be supported and promoted in future. Granting the CSIST to be a non-departmental public body is a rare opportunity which could improve the efficiency of the CSIST in many aspects. This spotlights a brighter future for the CSIST if the authorities take full advantage in the way forward to improving the national economy and creating optimal welfare.