دانلود رایگان مقاله مدل DEA شبکه و مدل تولید با کیفیت: یک برنامه کاربردی برای خدمات تحقیقاتی دانشگاه استرالیا

عنوان فارسی
مدل DEA شبکه و مدل تولید با کیفیت: یک برنامه کاربردی برای خدمات تحقیقاتی دانشگاه استرالیا
عنوان انگلیسی
A network DEA quantity and quality-orientated production model: An application to Australian university research services
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
8
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E4459
رشته های مرتبط با این مقاله
مهندسی کامپیوتر و فیزیک
مجله
مجله امگا - Omega
دانشگاه
دانشکده اقتصاد و دارایی، دانشگاه تکنولوژی کوئینزلند، استرالیا
کلمات کلیدی
بهره وری خدمات، DEA شبکه، پژوهش، دانشگاه ها، استرالیا
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract


The motivation for this analysis is the recently developed Excellence in Research for Australia (ERA) program developed to assess the quality of research in Australia. The objective is to develop an appropriate empirical model that better represents the underlying production of higher education research. In general, past studies on university research performance have used standard DEA models with some quantifiable research outputs. However, these suffer from the twin maladies of an inappropriate production specification and a lack of consideration of the quality of output. By including the qualitative attributes of peer-reviewed journals, we develop a procedure that captures both quality and quantity, and apply it using a network DEA model. Our main finding is that standard DEA models tend to overstate the research efficiency of most Australian universities.

نتیجه گیری

5. Concluding remarks


This study employed a NDEA model to illustrate a production model that is representative of university operations in the area of research. It is well known that institutions of higher education are complex organizations that use multiple inputs to produce multiple outputs [54]. Due to the nature of higher education organization, in some stages of production, the outputs that are produced using inputs become inputs themselves in the next stage of production. Hence, it is not reasonable to consider a university production model as simply one that transforms inputs to produce outputs. As discussed, the standard DEA model is limited in that it treats the production process like a ‘black box’ and neglects intervening processes such as different series or parallel functions. In turn, being able to identify stages of production allows a clearer understanding of the (in)efficiencies that may exist when standard DEA fails.


بدون دیدگاه