Multi-criterion models for higher education administration

Mustafa, Adli; Goh, Mark

doi:10.1016/0305-0483(95)00053-4

Cited by 41 publications

(36 citation statements)

References 71 publications

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“…The institution of higher education is further governed by the legislature and has special duties and responsibilities to contribute to the development of the community in which they exist. Given that scenario, administrative policies and decision making in the institutions of higher education must be based on the combined and compromised objectives of numerous conflicting interest groups (Mustafa and Goh, 1996).…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of the efficiency of Philippine Private Higher Educational Institutions: application of frontier approaches

Castaño

Cabanda

2007

Int Trans Operational Res

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This paper evaluates the efficiency performance of Philippine Private Higher Educational Institutions (PHEIs), using frontier approaches known as data envelopment analysis – Malmquist indices and stochastic frontier analysis. The sample consists of 30 private educational institutions, which were granted autonomy over the time period 1999–2003, with a total of 150 observations. The paper also analyzes whether technical inefficiency is systematically related to age, ownership (private sectarian versus private non‐sectarian), and autonomy status. Significant new findings show that higher technological progress boosted the higher productivity growth of the majority of PHEIs (about 66.67%). We also found that age and ownership have positive and statistically significant effects on its technical inefficiency. PHEIs obtained a technical efficiency of 71.2%, and therefore need to increase their output revenues by 28.8% to be efficient. These new findings contribute significantly to educational performance.

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Section: Introductionmentioning

confidence: 99%

Performance evaluation of the efficiency of Philippine Private Higher Educational Institutions: application of frontier approaches

Castaño

Cabanda

2007

Int Trans Operational Res

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“…More details are provided in next section concerning the way in which data were obtained in the evaluation step. Let us only note here that the REF consists of a peer assessment of UK universities' research in all disciplines to meet the need for regular national evaluation of universities' research units, primarily for funding, but also to define organisational issues [9,36,41]. The assessment is performed by a panel of academic researchers and research users nominated by a wide range of academic constituencies.…”

Section: Review Of University Research Evaluationsmentioning

confidence: 99%

Multiple-criteria performance ranking based on profile distributions: An application to university research evaluations

Kunsch

Ishizaka

2018

Mathematics and Computers in Simulation

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“…The AHP, developed by Satty (1980), was found to be the most prevalent MADM technique for dealing with the decision problems in higher education from 1972 to 1995 (Mustafa and Goh, 1996). Basically, the AHP consists of three main operations including hierarchy construction, priority analysis, and consistency verification.…”

Section: Analytic Hierarchy Processmentioning

confidence: 99%

“…GP, invented by Charnes and Cooper (1961), is regarded as the most practical MODM technique (Mustafa and Goh, 1996) since it was most frequently used to solve the higher education decision problems. It is indeed very similar to the linear programming model except that multiple goals are taken into consideration at the same time.…”

Section: Goal Programmingmentioning

confidence: 99%

An integrated multiple criteria decision making approach for resource allocation in higher education

Higson

Dey

2007

IJIL

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Abstract:Resource allocation is one of the major decision problems arising in higher education. Resources must be allocated optimally in such a way that the performance of universities can be improved. This paper applies an integrated multiple criteria decision making approach to the resource allocation problem. In the approach, the analytic hierarchy process (AHP) is first used to determine the priority or relative importance of proposed projects with respect to the goals of the universities. Then, the goal programming (GP) model incorporating the constraints of AHP priority, system, and resource is formulated for selecting the best set of projects without exceeding the limited available resources. The projects include "hardware" (tangible university's infrastructures), and "software" (intangible effects that can be beneficial to the university, its members, and its students). In this paper, two commercial packages are used: Expert Choice for determining the AHP priority ranking of the projects, and LINDO for solving the GP model.

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Multi-criterion models for higher education administration

Cited by 41 publications

References 71 publications

Performance evaluation of the efficiency of Philippine Private Higher Educational Institutions: application of frontier approaches

Performance evaluation of the efficiency of Philippine Private Higher Educational Institutions: application of frontier approaches

Multiple-criteria performance ranking based on profile distributions: An application to university research evaluations

An integrated multiple criteria decision making approach for resource allocation in higher education

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