Data Envelopment Analysis with Missing Data: An Application to University Libraries in Taiwan

2000 ◽  
Vol 51 (8) ◽  
pp. 897 ◽  
Author(s):  
C. Kao ◽  
S.-Tai Liu
Keyword(s):  
Data Envelopment Analysis ◽  
Missing Data ◽  
Data Envelopment ◽  
University Libraries

scholarly journals Dealing with missing data based on data envelopment analysis and halo effect

2013 ◽  
Vol 37 (9) ◽  
pp. 6135-6145 ◽  
Author(s):  
Yong Zha ◽  
Ali Song ◽  
Chuanyong Xu ◽  
Honglin Yang
Keyword(s):  
Data Envelopment Analysis ◽  
Missing Data ◽  
Halo Effect ◽  
Data Envelopment

scholarly journals R&D in Europe: Sector Decomposition of Sources of (in)Efficiency

2020 ◽  
Vol 12 (4) ◽  
pp. 1432 ◽  
Author(s):  
Tihana Škrinjarić
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Missing Data ◽  
Research And Development ◽  
Dynamic Analysis ◽  
Innovation Policy ◽  
Private Higher Education ◽  
European Countries ◽  
Data Envelopment ◽  
Over Time

Measuring the efficiency of research and development (R&D) expenditure and innovation policy has gained attention in recent years. This research examines the efficiency of 29 selected European countries for the period ranging from 2007 to 2017 in achieving and obtaining R&D goals. The methodology applied is the data envelopment analysis approach with the inclusion of the missing data approach. The contributions of this research include the following: dynamic analysis is conducted to track changes of (in)efficiencies over time; the decomposition of the efficiency is done by separating the main variables of interest into the private, higher education, and government sectors; and the robustness of the results is evaluated, which is often ignored in the literature. The results of the analysis are discussed with possible directions for inefficient countries. The rankings provided in the empirical part of the study confirm previous findings on disparities between the European countries with respect to innovation and the R&D sector.

DATA ENVELOPMENT ANALYSIS WITH MISSING DATA: AN EXPECTATION MAXIMIZATION APPROACH

2016 ◽  
Vol 72 (3) ◽  
Author(s):  
Talat Senel ◽  
Yuksel Terzi ◽  
Serpil Gumustekin ◽  
Mehmet Ali Cengiz
Keyword(s):  
Data Envelopment Analysis ◽  
Missing Data ◽  
Expectation Maximization ◽  
Data Envelopment

Penilaian Terhadap Kecekapan Relatif Perpustakaan Di Institusi Pengajian Tinggi Awam (IPTA) Malaysia

2012 ◽  
Author(s):  
Mohamad Shukri Abdul Hamid ◽  
Wan Rosmanira Ismail
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Public University ◽  
Pareto Optimum ◽  
Pareto Optimal ◽  
Data Envelopment ◽  
University Libraries ◽  
Dea Model ◽  
Dual Analysis ◽  
Decision Making Units

Kajian ini membincangkan penggunaan kaedah analisis penyampulan data (APD) dalam mengukur kecekapan relatif perkhidmatan perpustakaan di institusi pengajian tinggi awam (IPTA) di Malaysia. Kaedah APD adalah salah satu teknik yang sesuai digunakan untuk menilai kecekapan relatif satu set unit pembuatan keputusan (UPK) yang homogen. Konsep asas APD ialah mengenal pasti UPK yang cekap berbanding dengan UPK yang lain. UPK yang cekap ini dikenali sebagai Pareto optimum dan ianya dijadikan asas untuk perbandingan dengan UPK yang tidak cekap. Dalam kajian ini perpustakaan yang didapati tidak cekap akan dijalankan analisis kedualan supaya ketidakcekapan dapat diterjemahkan kepada bentuk input dan output. Hasil daripada analisis kedualan ini pihak pengurusan dapat melakukan penambahbaikan supaya perpustakaan yang didapati tidak cekap akan mencapai kecekapan melalui pengurangan dalam input dan pertambahan dalam output. Input dan output yang sesuai diambil kira dalam penentuan kecekapan setiap UPK ditentukan menggunakan ujian isotonisiti. Kajian ini dilakukan ke atas 14 buah perpustakaan IPTA di Malaysia dan hasil kajian menunjukkan 8 buah perpustakaan adalah cekap manakala 6 buah perpustakaan tidak cekap. Kata kunci: Analisis penyampulan data; unit pembuat keputusan; kecekapan relatif; set rujukan; pareto optimum This research discusses Data Envelopment Analysis (DEA) model to evaluate the relative performance of public university libraries in Malaysia. DEA model is a suitable method to evaluate relative performances of a set of homogeneous decision–making units (DMUs). The basic concept of DEA is to identify the efficient decision–making units among all DMUs. This efficient DMU is called a Pareto optimal unit and is considered as the standard for comparison of all inefficient DMUs. In this study, the dual analysis will be carried out for the inefficient libraries in order to interpret the inefficiency in terms of the inputs and outputs. The outcomes of this dual analysis will give the management the improvements that need be done to the inefficient libraries, in terms of reducing the inputs and increasing the outputs. Suitable inputs and outputs for evaluating the performance of DMUs are determined using the isotonicity test. The study is carried out on 14 public university libraries and the results showed that 8 libraries are efficient while 6 are inefficient. Key words: Data envelopment analysis; decision-making unit; relative efficiency; reference set; pareto optimal

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