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• W2892890508 startingPage "983" @default.
• W2892890508 abstract "Under situations of limited resources, soft powers such as technology development and innovation become critical capabilities for a nation’s continuous growth and sustainability. Therefore, we used analytical hierarchy process (AHP), data envelopment analysis (DEA), and Malmquist productivity index (MPI) to evaluate the performance of research projects in 6 main fields of study managed by the Ministry of Science and Technology (MOST) in Taiwan from 2002 to 2012. Among the 6 fields of study, Agriculture and Humanities were two research fields as efficiency; and the sequence of inefficiency 4 fields were sociology, medicine, science, and engineering. Although the field of sociology was inefficiency, it was the only field show continuous growth in result of MPI analysis. Taking the fields as a whole, the result of the analysis of total factor productivity showed recession. However, as seen from the growth in technical change and in scale efficiency change, the MOST was effective to a certain extent during the period. However, the recession in technical efficiency change showed that further improvement in the planning and distribution of manpower and funds is needed." @default.
• W2892890508 created "2018-10-05" @default.
• W2892890508 creator A5013355400 @default.
• W2892890508 creator A5032876914 @default.
• W2892890508 creator A5057936848 @default.
• W2892890508 date "2018-09-29" @default.
• W2892890508 modified "2023-09-26" @default.
• W2892890508 title "Using AHP, DEA and MPI for governmental research institution performance evaluation" @default.
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• W2892890508 doi "https://doi.org/10.1080/00036846.2018.1524131" @default.
• W2892890508 hasPublicationYear "2018" @default.
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