Mushtaq Taleb
@uoanbar.edu.iq
Applied sciences
University of Anbar
Mushtaq Taleb graduated in Iraq-Baghdad in 1999 with a B.Sc. in Operations Research and in 2002 with a M.Sc. in Operations Research from university of Baghdad. He obtained his PhD in Operations Research-Decision Sciences from School of Quantitative Sciences in Universiti Utara Malaysia, Malaysia. His research interests are in hybrid integer-valued data envelopment analysis, super efficiency of non-radial data envelopment analysis model, and data envelopment analysis models with undesirable and exogenously fixed factors.
RESEARCH INTERESTS
super efficiency model of data envelopment analysis, undesirable and non-discretionary factors of data envelopment analysis, integer-valued data envelopment analysis models.
Scopus Publications
Scopus Publications
Mushtaq Taleb, Ali Emrouznejad, Vincent Charles, Ruzelan Khalid, and Razamin Ramli
Elsevier BV
Mushtaq Taleb and Ruzelan Khalid
AIP Publishing
Mushtaq Taleb, Ruzelan Khalid, Ali Emrouznejad, and Razamin Ramli
Environment, Development and Sustainability Springer Science and Business Media LLC
Mushtaq Taleb, Ruzelan Khalid, Razamin Ramli, and Mohd Kamal Mohd Nawawi
Elsevier BV
Mushtaq Taleb, Ruzelan Khalid, Mamdooh Attallah, Razamin Ramli, and Mohd Kamal Mohd Nawawi
Informa UK Limited
Mushtaq Taleb, Ruzelan Khalid, Mamdooh Attallah, Qaiser Abdul Kareem, and Razamin Ramli
Inderscience Publishers
Mushtaq Taleb, Ruzelan Khalid, Razamin Ramli, Mohammad Reza Ghasemi, and Joshua Ignatius
European Journal of Operational Research Elsevier BV
ABSTRACT Classical efficiency studies on data envelopment analysis (DEA) consider all its inputs and outputs are desirable factors and real valued-data. Additionally, the DEA models only focus either on input-oriented projection minimizing inputs for an inefficient decision making unit (DMU) while keeping outputs at their maximum level, or output-oriented projection maximizing outputs under the present level of input consumption. To simultaneously deal with input excesses and output shortfalls maximizing both projections, this paper proposes a bi-objective DEA model in the context of undesirable factors and mixed integer requirements. These factors and requirements were integrated into the objective function and constraints of the existing bi-objective models. In addition, the proposed model estimates the returns to scale of DMUs that depends on the projections of input reduction and output augmentation. The applicability and usefulness of the proposed model were tested using the dataset of 39 Spanish airports retrieved from the literature. Besides, the proposed model was compared with the three existing bi-objective DEA models in the literature to test its validity.
Mushtaq Taleb, Ruzelan Khalid, and Razamin Ramli
Informa UK Limited
Abstract The integer radial data envelopment analysis (IDEA) approach has been introduced by numerous efficiency studies to accurately measure various real life applications where some of their inputs and/or outputs are restricted to integer values. However, all these studies have not addressed the nature of return to scale (RTS) in terms of an output integer-valued DEA model. This paper thus discusses the RTS for an output oriented integer-valued DEA model to identify its regions (increasing, decreasing, and constant). These regions are identified by classifying the efficiency scores resulting from the output-oriented integer-valued DEA model under constant return to scale (CRS) and variable return to scale (VRS) as well as the intensity factors’ values corresponding to the model under CRS. As an illustration purpose, the output oriented integer-valued DEA model under the two technologies was applied to the empirical data of public universities in Malaysia. The results showed that only half (50%) and slightly over half (55%) of the universities were efficient under CRS and VRS, respectively. In spite of this fact, some of the inefficient universities have a room for efficiency improvement by decreasing their inputs and increasing their outputs. In addition, the calculated scale efficiency and regions of the RTS showed that 50% of the universities were operating in the region of CRS, and each 25% of them were operating in increasing and decreasing RTS.
Maznah Mat Kasim, Razamin Ramli, Md. Azizul Baten, Jastini Mohd Jamil, and Mushtaq Taleb
Kaunas University of Technology (KTU)
The stability of the economic system of a country very much depends on its banking industry. Data Envelopment Analysis (DEA) has been applied widely for measuring efficiency of banks. Limited studies, however, have employed the radial and non-radial DEA models to evaluate efficiency of banks without considering the ranking of the fully efficient banks since those banks have the same efficiency score. Considering the weakness of the radial and non-radial DEA, this paper aims to calculate the banks efficiency of nine commercial banks in Malaysia from 2004 to 2013 by adopting the two-stage of super efficiency slack-based measure (SE-SBM) model. This model can discriminate between the efficient banks and recalculate their efficiency scores. Then, the selected banks were able to be ranked according to their final efficiency scores. Moreover, comparative analyses of the efficiency of the banks and the year-wise efficiency of the selected banks were also conducted. The methodology consists of two stages. In the first stage the SBM model is run to classify efficient and inefficient banks. In the second stage the super efficiency model is run to rank the efficient banks obtained from the first stage by calculating their super efficiency scores. Our empirical results show that: (1) the efficiency status of the banks fluctuated over the examined period, the high number of the efficient banks is achieved in the years 2006 and 2008, while the year 2012 has the lowest number of the efficient banks. (2) the ranking of the banks fluctuated in the studied period. (3) most of the banks are inefficient in terms of their average efficiency scores. This paper has two limitations. First, the paper did not integrate undesirable output, despite it deals with non-interest income. Second, performance evaluation of Malaysian commercial banks was only compared among the Malaysian banks.
Mushtaq Taleb, Razamin Ramli, and Ruzelan Khalid
Inderscience Publishers
Mushtaq Taleb, Razamin Ramli, and Ruzelan Khalid
Elsevier BV
Abstract An alternatve approach of super efficiency slack-based measure data envelopment analysis has been proposed to make the projection of an efficient decision making unit strongly-Pareto efficient. The approach however did not examine the simultaneous effect of non-discretionary factors and integer requirements on efficiency measures. To obtain more accurate efficiency measures, this paper proposes a two-stage approach of super efficiency slack-based measure in non-discretionary factors and mixed integer requirements. Both new factors and requirements were first integrated into the existing approach. The optimal solution of the proposed approach was then obtained by transforming its fractional form to a linear form. Thus, the scalar measures of the proposed approach can now deal directly with discretionary mixed integer input saving-output surplus and discretionary mixed integer input excess-output shortfall. The practicability of the proposed approach was tested using empirical data of Malaysian community colleges.
Mushtaq Taleb Hussain, Razamin Ramli, and Ruzelan Khalid
Pushpa Publishing House
Conventional data envelopment analysis (DEA) models assume that all values of input and output variables are non-integers. However, in many situations of real life DEA application, some of the input and/or output variables are to be integers.The rounding process of the non-integer values to their nearest integers can cause inaccurate efficiency and performance measurement. Thus, it is important to develop a non-radial hybrid integer DEA model. Moreover, the projection of decision making units (DMUs) in the existing super efficiency slack based measure hybrid integer model may not be strongly Pareto-efficient.Thus, our hybrid integer DEA model is developed based on an alternative super efficiency slack based measure DEA model for ranking efficient and inefficient DMUs.The developed model can project efficient DMUs resulted from super efficiency strongly Pareto-efficient by identifying input excesses and output shortfalls of non-integer and integer slack variables. It then discriminates inefficient DMUs whose efficiency scores resulted from super efficiency slack based measure model equal to one.An application to measure the efficiency of 41 academic departments at National Cheng Kung University in Taiwan (NCKU) is used to test the applicability of developed models. The results showed that 51.20% of the departments (DMUs) were super efficiency. Moreover, the result also showed that most of the inefficient departments were caused by their input excesses of expenses and teaching space, and output shortfalls associating with publications and grants.
Mushtaq Taleb Hussain, Razamin Ramli, and Ruzelan Khalid
AIP Publishing LLC
The decrement of input proportions in DEA model is associated with its input reduction. This reduction is apparently good for economy since it could reduce unnecessary cost resources. However, in some situations the reduction of relevant inputs such as labour could create social problems. Such inputs should thus be maintained or increased. This paper develops an advanced radial DEA model dealing with mixed integer linear programming to improve integer output values through the combination of inputs. The model can deal with real input values and integer output values. This model is valuable for situations dealing with input combination to improve integer output values as faced by most organizations.