Factors affecting relative efficiency of higher education institutions of economic orientation
This paper investigates the factors that influence the relative efficiency of higher education institutions of economic orientation. The empirical analysis is carried out on 31 higher educational institutions of economic orientation in Croatia, Slovenia and Bosnia and Herzegovina, in three phases. I...
Permalink: | http://skupnikatalog.nsk.hr/Record/nsk.NSK01001108550/Details |
---|---|
Matična publikacija: |
Management (Split. Online) 25 (2020), 1 ; str. 45-67 |
Glavni autor: | Arbula Blecich, Andrea (Author) |
Vrsta građe: | e-članak |
Jezik: | eng |
Predmet: | |
Online pristup: |
https://doi.org/10.30924/mjcmi.25.1.3 Hrčak |
LEADER | 03708naa a22003614i 4500 | ||
---|---|---|---|
001 | NSK01001108550 | ||
003 | HR-ZaNSK | ||
005 | 20210924105249.0 | ||
006 | m d | ||
007 | cr|||||||||||| | ||
008 | 210728s2020 ci d |o |0|| ||eng | ||
024 | 7 | |2 doi |a 10.30924/mjcmi.25.1.3 | |
035 | |a (HR-ZaNSK)001108550 | ||
040 | |a HR-ZaNSK |b hrv |c HR-ZaNSK |e ppiak | ||
041 | 0 | |a eng |b eng |b hrv | |
042 | |a croatica | ||
044 | |a ci |c hr | ||
080 | 1 | |a 378 |2 2011 | |
080 | 1 | |a 33 |2 2011 | |
100 | 1 | |a Arbula Blecich, Andrea |4 aut | |
245 | 1 | 0 | |a Factors affecting relative efficiency of higher education institutions of economic orientation |h [Elektronička građa] / |c Andrea Arbula Blecich. |
300 | |b Graf. prikazi. | ||
504 | |a Bibliografija: 54 jed. | ||
504 | |a Summary ; Sažetak. | ||
520 | |a This paper investigates the factors that influence the relative efficiency of higher education institutions of economic orientation. The empirical analysis is carried out on 31 higher educational institutions of economic orientation in Croatia, Slovenia and Bosnia and Herzegovina, in three phases. In the first phase, relative efficiency of observed institutions is evaluated for three main areas of their activities: teaching, research and international activity. In the second phase, higher education institutions are clustered based on relative efficiency results of each individual area of their activity. In the last, third phase, key association factors of a particular cluster are determined using univariate binary logistic regression and odds for transition to a more favourable cluster are defined. The results indicate that odds for positioning in the more efficient cluster are higher in public institutions than in private ones, in institutions with more published professional papers, in those with higher expenditures per faculty, the larger number of enrolled students per faculty, as well as in those with more visiting researchers. The proposed model can serve as a design guideline for education policies and as a moderation guideline for national authorities. | ||
520 | |a U ovom se radu analiziraju čimbenici, koji utječu na relativnu efikasnost visokoškolskih institucija iz područja ekonomije. Empirijska je analiza provedena na 31 visokoškolskoj ustanovi u Hrvatskoj, Sloveniji te Bosni i Hercegovini, u tri faze. U prvoj je fazi evaluirana relativna učinkovitost promatranih ustanova za tri ključna područja, i to: nastavu, istraživanje te međunarodnu suradnju. U drugoj je fazi izvršena analiza klastera, na temelju rezultata relativne učinkovitosti za tri prethodno navedena područja aktivnosti. U posljednjoj – trećoj fazi, ključni čimbenici pripadnosti određenom klasteru utvrđeni su korištenjem univarijantne binarne logističke regresije te su određene vjerojatnosti za prijelaz u povoljniji klaster. Rezultati pokazuju da je vjerojatnost pozicioniranja u efikasnijem klasteru veća u javnim, negoli u privatnim institucijama, u institucijama s više objavljenih stručnih radova, kao i onima s većim troškovima po nastavniku te s većim brojem upisanih studenata po nastavniku, a na kraju – i onima s većim brojem gostujućih istraživača. Predloženi model može poslužiti kao vodič za kreiranje obrazovnih politika. | ||
653 | 0 | |a Visokoškolsko obrazovanje |a Visokoškolske institucije |a Efikasnost |a Ekonomija |a Analiza klastera |a Logistička regresija | |
773 | 0 | |t Management (Split. Online) |x 1846-3363 |g 25 (2020), 1 ; str. 45-67 |w nsk.(HR-ZaNSK)000620258 | |
981 | |b Be2020 |b B03/20 | ||
998 | |b dalo2109 | ||
856 | 4 | 0 | |u https://doi.org/10.30924/mjcmi.25.1.3 |
856 | 4 | 0 | |u http://hrcak.srce.hr/239121 |y Hrčak |
856 | 4 | 1 | |y Digitalna.nsk.hr |