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    Evaluating R&D performance of EU countries using categorical DEA
    (Routledge Journals, Taylor & Francis Ltd, 2019) Karadayi, Melis Almula; Ekinci, Yeliz
    Over the coming decade, Research and Development (R&D) performance will be the key component of bringing innovation and the determinant of global competitiveness of nations. Therefore, this paper presents categorical Data Envelopment Analysis (DEA) for evaluating R&D performance of European Union (EU) countries. We utilise the output-oriented constant returns to scale (CRS) and variable returns to scale (VRS) DEA models with categorical data, namely, CAT-O-C and CAT-O-V models. In addition to DEA based framework, to examine the relationship between R&D performance and political-regulatory-economic situation of the countries; three research hypotheses are stated and their results are analysed. Policy implications about R&D activities can be derived for EU countries from the findings of this study.
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    Imprecise DEA framework for evaluating health-care performance of districts
    (Emerald Group Publishing Ltd, 2017) Karsak, E. Ertugrul; Karadayi, Melis Almula
    Purpose - This paper aims to address performance measurement in the health-care sector, which gains increasing importance for most countries because growing health expenditures and increased quality and competition in the health sector require hospitals to use their resources efficiently. Health policy-makers and health-care managers stress the need for developing a robust performance evaluation methodology for health-care organizations. Design/methodology/approach - This paper presents an imprecise data envelopment analysis (DEA) framework for evaluating the health-care performance of 26 districts in Istanbul, a metropolis with nearly 15 million inhabitants. The proposed methodology takes into account both quantitative and qualitative data represented as linguistic variables for performance evaluation. Moreover, this study reckons that weight flexibility in DEA assessments can lead to unrealistic weighting schemes for some inputs and outputs, which are likely to result in overstated efficiency scores for a number of decision-making units (in here, districts). To overcome this problem, a weight restricted imprecise DEA model that constrains weight flexibility in DEA is proposed. Findings - The proposed imprecise DEA approach sets forth a more realistic decision methodology for evaluating the relative health-care performance and also enables to determine the best district in terms of health-care performance in Istanbul. Originality/value - This paper includes the quality dimension, which has been overlooked in previous studies, into the health-care performance evaluation of districts. Moreover, it circumvents unrealistic weight flexibility which may distort the relative evaluation of health-care performance.
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    An MCDM-based game-theoretic approach for strategy selection in higher education
    (Elsevier Science Inc, 2022) Ekinci, Yeliz; Orbay, Benan Zeki; Karadayi, Melis Almula
    This study proposes a framework for universities and governments to select strategies by considering the strategic interactions. The strategic choices of universities and governments can be determined by analyzing the related literature and discussing it with experts in higher education (HE). Because these experts form their evaluations depending on various criteria, the outputs of multi-criteria decision-making (MCDM) models are used to determine payoff values for players by considering all strategic combinations. After constructing the payoff matrix, the Nash equilibrium concept of game theory is used to determine optimal strategies for the universities and governments for simultaneously played games. Sequential versions of the games are also analyzed using backward induction. The results show that in all games constructed using criteria with different weights, either the government or the university, or both, preferred to motivate high-quality academic research. The proposed methodology can be used by the policymakers in the higher education area, both by the central planners (usually the government) and the universities.