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عنوان فارسی مقاله:
مدل DEA شبکه و مدل تولید با کیفیت: یک برنامه کاربردی برای خدمات تحقیقاتی دانشگاه استرالیا
عنوان انگلیسی مقاله:
A network DEA quantity and quality-orientated production model: An application to Australian university research services
سال انتشار : 2016
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بخشی از مقاله انگلیسی:
3. Data sources and method
3.1. Data The data consists of 37 annual observations of Australian universities over the period 2004–11. All data are from the Higher Education Statistics and Financial Reports compiled by the Commonwealth Department of Education (www.education.gov.au) [previously Department of Education, Science, and Training (DEST) and Department of Education, Employment and Workplace Relations (DEEWR)]. We specify a production model where the research production process includes only research-relevant inputs. The primary inputs are FTE academics (comprising ‘research-only’ academic staff and ‘teaching and research’ academic staff), and doctorates by research (student load). As the intermediate output, we consider the publication indicator. The final output for the NDEA is research income (i.e. grants won), comprising research income from across the designated categories of Australian Competitive Grants, Other Public Sector Grants, Industry and Other Grants, and Cooperative Research Centers (CRC). The measurement of university performance is critically dependent on the reliability of the research publication output, which should incorporate both quality and quantity. There are many existing studies on university performance from round the world, but most face the significant obstacle of incorporating quality attributes in research publications. As a result, they either omit quality attributes altogether or consider a proxy for quality, which may not be fully appropriate. For example, in the Australian context, [29–31] measured the research output of Australian universities using, among other things, the number of publications (including books, book chapters, journal articles, and refereed conference papers), but did not account for any quality attributes. Elsewhere, [32] measured the research productivity of universities in the US using total publications and the ratio of publications to full-time faculty, but the approach was nonetheless essentially quantitative and excluded any specific qualitative measure. In a similar fashion, [33] used the number of publications in Chinese higher education and the reputations of and publications per academic staff as outputs to reflect the characteristics of research, while [34] distinguished between the number of overseas and domestic publications by Chinese universities perhaps to capture quality differences, although this was not specifically stated. Elsewhere, [35] went a step further by categorizing research publications into five groups, of which one comprised core economic journals. However, putting aside that their study focused solely on the efficiency of economics departments, there was still no clear delineation of quality differences across journals. Fundamentally, the major limitation in using the number of publications as an output is that it does not capture the quality aspect of research outputs for journals as no weights attach to higher-ranked journals. Moreover, even within top-tier journals, quality differences exist and different journal practices are common across disciplines [5].
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کلمات کلیدی:
Network DEA dl.acm.org/citation.cfm?id=992603 by HF Lewis - 2004 - Cited by 331 - Related articles Aug 1, 2004 - Network DEA: efficiency analysis of organizations with complex internal .... We demonstrate how to incorporate reverse quantities as inputs, ... Two-stage network DEA: when intermediate measures can be treated ... link.springer.com/article/10.1057/jors.2015.14 One such area is network DEA, and in particular two-stage DEA. In the conventional closed serial system, the only role played by the outputs from Stage 1 is to ... Modeling Data Irregularities and Structural Complexities in Data ... https://books.google.com/books?isbn=0387716076 Joe Zhu, Wade D. Cook - 2007 - Business & Economics NETWORK. DEA. Rolf Färe1, Shawna Grosskopf2 and Gerald Whittaker3 1 Department of Economics and Department of Agricultural Economics, Oregon State ... Data Envelopment Analysis: A Handbook of Empirical Studies and ... https://books.google.com/books?isbn=1489976841 Joe Zhu - 2016 - Business & Economics ... 518 non-zero aggregate quantities, 518 output and input quantity indexes, 518, ... analysis, 544 network clustering method, 545 network DEA research front, ... Network DEA II - Springer Link link.springer.com/content/pdf/10.1007/978-1-4899-8068-7_14.pdf Network DEA was proposed for analysis of the contents of the black box. This theory .... measures of inputs and outputs (quantity functions). These quantity ... A network DEA assessment of team efficiency in the NBA | SpringerLink link.springer.com/article/10.1007/s10479-012-1074-9 Feb 3, 2012 - In this paper, a Network DEA approach to assess the efficiency of NBA teams is proposed and compared with a black-box (i.e. single-process) ...
