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Dive into the research topics where Ali Turkyilmaz is active.

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Featured researches published by Ali Turkyilmaz.


Expert Systems With Applications | 2012

Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey

Asil Oztekin; Ozgur Uysal; Gökhan Torlak; Ali Turkyilmaz; Dursun Delen

Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis has been widely used to evaluate alternative strategies in order to determine the best one for given business setting. This study aims at providing a quantitative basis to analytically determine the ranking of the factors in SWOT analysis via a conventional multi-criteria decision making method, Analytic Network Process (ANP). The ANP method is preferred in this study because of its capability to model potential dependencies among the SWOT factors. The study presents uniqueness in the way it incorporates inherent vagueness and uncertainty of the human decision making process by means of the fuzzy logic. The proposed SWOT fuzzy ANP methodology was implemented and tested for the Turkish airline industry. The results showed that the SWOT fuzzy ANP is a viable and highly capable methodology that provides invaluable insights for strategic management decisions in the Turkish airline industry, and can also be used as an effective tool for other complex decision making processes.


Industrial Management and Data Systems | 2007

Development of a customer satisfaction index model: An application to the Turkish mobile phone sector

Ali Turkyilmaz; Coşkun Özkan

Purpose – The purpose of this study is to develop and test a new customer satisfaction index model for Turkish mobile phone sector (TMPS).Design/methodology/approach – Based on relevant literature and theoretical considerations on customer satisfaction, a new measurement model was developed. A survey based on the proposed model was conducted to 700 mobile phone users in Istanbul. Partial least squares method was employed to estimate the proposed structural equation model (SEM).Findings – The general applicability of a SEM depends on the reliability and validity of the modeling results. The proposed satisfaction model exhibits strong explanatory power with its satisfactory reliability and validity results.Research limitations/implications – The proposed model was tested for the TMPS. It should ideally be tested periodically for different sectors with more data, and the index results should be compared.Practical implications – The results of this study provide very important information for the managers in ...


Expert Systems With Applications | 2012

Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA

Erkan Bayraktar; Ekrem Tatoglu; Ali Turkyilmaz; Dursun Delen; Selim Zaim

The concept of customer satisfaction and loyalty (CS&L) has attracted much attention in recent years. A key motivation for the fast growing emphasis on CS&L can be attributed to the fact that higher customer satisfaction and loyalty can lead to stronger competitive position resulting in larger market share and profitability. Using a data envelopment analysis (DEA) approach, in this study we analyzed and compared CS&L efficiency for mobile phone brands in an emerging telecommunication market, Turkey. The constructs of European Customer Satisfaction Index (ECSI) model are treated and used as input and output indicators of our DEA model. Drawing on the perceptual responses of 251 mobile phone users, the DEA models reveal that from the top six mobile phone brands in Turkey, Nokia features as the most efficient brand followed by LG and Sonny Ericsson in terms of CS&L efficiency, while Motorola, Samsung and Panasonic rank as the least efficient brands.


Journal of Quality in Maintenance Engineering | 2012

Maintenance strategy selection using AHP and ANP algorithms: a case study

Selim Zaim; Ali Turkyilmaz; Mehmet F. Acar; Umar M. Al-Turki; Omer F. Demirel

Purpose – The purpose of this paper is to demonstrate the use of two general purpose decision‐making techniques in selecting the most appropriate maintenance strategy for organizations with critical production requirements.Design/methodology/approach – The Analytical Hierarchical Process (AHP) and the Analytical Network Process (ANP) are used for the selection of the most appropriate maintenance strategy in a local newspaper printing facility in Turkey.Findings – The two methods were shown to be effective in choosing a strategy for maintaining the printing machines. The two methods resulted in almost the same results. Both methods take into account the specific requirements of the organization through its own available expertise.Practical implications – The techniques demonstrated in this paper can be used by all types of organizations for selecting and adopting maintenance strategies that have higher impact on maintenance performance and hence overall business productivity. The two methods are explained ...


decision support systems | 2013

A machine learning-based usability evaluation method for eLearning systems

Asil Oztekin; Dursun Delen; Ali Turkyilmaz; Selim Zaim

The research presented in this paper proposes a new machine learning-based evaluation method for assessing the usability of eLearning systems. Three machine learning methods (support vector machines, neural networks and decision trees) along with multiple linear regression are used to develop prediction models in order to discover the underlying relationship between the overall eLearning system usability and its predictor factors. A subsequent sensitivity analysis is conducted to determine the rank-order importance of the predictors. Using both sensitivity values along with the usability scores, a metric (called severity index) is devised. By applying a Pareto-like analysis, the severity index values are ranked and the most important usability characteristics are identified. The case study results show that the proposed methodology enhances the determination of eLearning system problems by identifying the most pertinent usability factors. The proposed method could provide an invaluable guidance to the usability experts as to what measures should be improved in order to maximize the system usability for a targeted group of end-users of an eLearning system. Usability assessment of eLearning systems is a necessary and challenging problem.Machine learning techniques are effective tools for usability assessments.Pareto-like analysis can help devise severity index values.Sensitivity analysis can help rank the most important usability factors.


Industrial Management and Data Systems | 2013

Universal structure modeling approach to customer satisfaction index

Ali Turkyilmaz; Asil Oztekin; Selim Zaim; Omer F. Demirel

Purpose – Previous researches have proven that customer satisfaction and loyalty are affected by complicated relationships and are challenging to European customer satisfaction index (ECSI) model. Existing approaches mostly limit their hypotheses to linear relationships, which hinder much information that would lead to better modeling and understanding the relationship between customer satisfaction and loyalty. The purpose of this paper is to reveal potential nonlinear and interaction effects that might be embedded in antecedents of ECSI by exemplifying it in Turkish telecommunications sector.Design/methodology/approach – This papar has justified the validity and reliability of the ECSI model implementation in Turk Telekom Company. The path models are tested via conventional structural equation modeling (SEM) and using a novel method, i.e. universal structure modeling with Bayesian neural networks.Findings – The findings of this study reveal that quality has the most important impact on customer satisfact...


Industrial Management and Data Systems | 2014

Performance assessment of manufacturing SMEs: A frontier approach

Muhammet Enis Bulak; Ali Turkyilmaz

Purpose – The purpose of this paper is to measure and evaluate the performance efficiency of manufacturing small and medium enterprises (SMEs) in Turkey. The industry-based efficiency evaluation provides management with information regarding the relatively best practice sectors in the observation sets and locates the relatively inefficient sectors by comparing with the best practiced ones. Design/methodology/approach – In this study, an evaluation model is constructed to come up with efficiency analysis for manufacturing SMEs and output-oriented CCR data envelopment analysis approach is utilized to figure out best practiced SMEs. The proposed efficiency measurement model is utilized for 744 SMEs from ten different sectors. Based on the efficiency results, efficiency score of the studied sectors are compared and improvements needed for becoming an efficient unit are reported. Findings – The results showed that 94 companies efficiently performed in general perspective. The analysis also revealed that “Weari...


Journal of Transnational Management | 2008

Measuring and evaluating efficiency of hospitals through total quality management: A multi-criteria data envelopment analysis model

Selim Zaim; Nizamettin Bayyurt; Ali Turkyilmaz; Nihat Solakoglu; Halil Zaim

ABSTRACT The purpose of this study is to measure and evaluate the efficiency of 12 hospitals in Turkey using a multi-criteria Data Envelopment Analysis (DEA) methodology. Number of beds, number of physicians and the critical factors of total quality management in the health care sector were used as inputs of the model. The outputs used in this analysis incorporated financial and non-financial performance of hospitals, number of outpatients and number of patient days. Performance of the hospitals was measured using subjective measures based on executives perception of how their organization performed relative to the competition. Results provide management with information regarding the relatively best practice hospitals in the observation sets and locate the relatively inefficient hospitals by comparison with the best practice ones. At last some suggestions are made for the least efficient hospital.


ieee international conference on fuzzy systems | 2010

An application of fuzzy Topsis method for supplier selection

Selim Zaim; Ali Turkyilmaz; Metin Satir

Supplier selection is vital to the success of a manufacturing firm. Supplier selection is a multi criteria decision making (MCDM) problem and has a strategic importance for most companies. As the conventional methods for supplier selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment, a new method called fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is proposed. The aim of this study is to compare and contrast crisp and fuzzy TOPSIS methods for the supplier selection. The proposed methods are applied to a manufacturing company in Turkey. After determining the criteria that affect the supplier selection decisions, the results for both crisp and fuzzy TOPSIS methods are presented.


Archive | 2010

Use of Partial Least Squares (PLS) in TQM Research: TQM Practices and Business Performance in SMEs

Ali Turkyilmaz; Ekrem Tatoglu; Selim Zaim; Coşkun Özkan

Advances in structural equation modeling (SEM) techniques have made it possible for management researchers to simultaneously examine theory and measures. When using sophisticated SEM techniques such as covariance-based structural equation modeling (CBSEM) and partial least squares (PLS), researchers must be aware of their underlying assumptions and limitations. SEM models such as PLS can help total quality management (TQM) researchers achieve new insights. Researchers in the area of TQM need to apply this technique properly in order to better understand the complex relationships proposed in their models. This paper attempts to apply PLS in the area of TQM research. Consequently, special emphasis is placed on identifying the relationships between the most prominent TQM constructs and business performance based on a sample of SMEs operat- ing in the Turkish textile industry. The analysis of PLS results indicate that a good deal of support is found for the proposed model where a satisfactory per- centage of the variance in the dependent constructs is explained by the independent constructs.

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Selim Zaim

Istanbul Technical University

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Asil Oztekin

University of Massachusetts Lowell

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Alexander Nikov

University of the West Indies

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