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on Sociology of Economics |
| By: | Molina, José Alberto (University of Zaragoza); Alcolea, Alberto (Kampal Data Solutions S.L.); Ferrer, Alfredo (Instituto de Biocomputación y Fisica de Sistemas Complejos (BIFI)); Iñiguez, David (ARAID); Rivero, Alejandro (Instituto de Biocomputación y Fisica de Sistemas Complejos (BIFI)); Ruiz, Gonzalo (Kampal Data Solutions S.L.); Tarancón, Alfonso (University of Zaragoza) |
| Abstract: | We explore the relationship between collaborations in writing papers and the academic productivity of economists and, particularly, we describe the magnitude and intensity of co-authorship among economists. To that end, we employ interaction maps from Complex Systems methods to study the global properties of specific networks. We use 8,253 JCR papers from ISI-WOK, published by 5,188 economists from Spanish institutions, and their co-authors, up to 8,202 researchers, from 2002 to 2014, to identify and determine the collaborative structure of economics research in Spain, with its primary communities and figures of influence. Our results indicate that centrality and productivity are correlated, particularly with respect to a local estimator of centrality (page rank), and we provide certain recommendations, such as promoting interactions among highly productive authors who have few co-authors with other researchers in their environment, or recommending that authors who may be well-positioned but minimally productive strive to improve their productivity. |
| Keywords: | co-authorship, academic productivity, economists, interaction maps, complex networks |
| JEL: | A11 C45 C63 D85 I23 Y91 |
| Date: | 2016–06 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp10008&r=sog |
| By: | Aithal, Sreeramana |
| Abstract: | Institutional Ranking in higher educational institutions became common practice and business schools are highly benefitted by the announced worldwide ranks based on various ranking criterions. The ranking is usually announced based on pedagogy, placement, research output, faculty-student ratio, international linkage, management of technology etc. We have developed a model of calculating research productivity of higher educational institution based on calculating institutional research index and weighted research index. The institutional research productivity is calculated using a metric which consists of three institutional variables and one parameter. The three variables identified as the number of Articles published in peer reviewed journals (A), the number of Books published (B), and number of Case studies and/or Book Chapters (C) published during a given time of observation. The parameter used is the number of full-time Faculty members (F) in that higher education institution which remains constant during a given period of observation. In this paper, we have used ABC model of institutional research productivity to calculate annual research productivity of some of the world top business schools. The annual publication data for the year 2015 is collected from the respective institutional websites. The research productivity of these institutions are determined and compared. Based on research productivity index, and corrected research productivity index, the Business Schools are re-ranked. The parameters used in Financial Times (FT) Ranking system is compared with the features of ABC research productivity ranking model. |
| Keywords: | Business school ranking, Faculty productivity, Institutional productivity, Institutional publication index. |
| JEL: | I21 |
| Date: | 2016–06–24 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:72246&r=sog |