Fatih University

About: Fatih University is a education organization based out in Istanbul, Turkey. It is known for research contribution in the topics: Conductivity & Magnetization. The organization has 1451 authors who have published 2983 publications receiving 60871 citations. The organization is also known as: Fatih Üniversitesi.

Mutations in the mitochondrial GTPase mitofusin 2 cause Charcot-Marie-Tooth neuropathy type 2A.

Abstract: We report missense mutations in the mitochondrial fusion protein mitofusin 2 (MFN2) in seven large pedigrees affected with Charcot-Marie-Tooth neuropathy type 2A (CMT2A). Although a mutation in kinesin family member 1B-β (KIF1B) was associated with CMT2A in a single Japanese family, we found no mutations in KIF1B in these seven families. Because these families include all published pedigrees with CMT2A and are ethnically diverse, we conclude that the primary gene mutated in CMT2A is MFN2.

The impact of supply chain management practices on performance of SMEs

Abstract: Purpose – The purpose of this study is to determine the underlying dimensions of supply chain management (SCM) practices and to empirically test a framework identifying the relationships among SCM practices, operational performance and SCM‐related organizational performance with special emphasis on small and medium size enterprises (SMEs) in Turkey.Design/methodology/approach – Data for the study were collected from a sample of 203 manufacturing SMEs operating in the manufacture of fabricated metal products and general purpose machinery (NACE codes 28 and 29) within the city of Istanbul in Turkey. The research framework was tested using partial least squares method, which is a variance‐based structural equation modeling approach.Findings – Based on exploratory factor analysis (EFA), SCM practices were grouped in two factors: outsourcing and multi‐suppliers (OMS), and strategic collaboration and lean practices (SCLP). The results indicate that both factors of SCLP and OMS have direct positive and significa...

An analysis of the relationship between TQM implementation and organisational performance: evidence from Turkish SMEs

Abstract: Purpose – The principal aim of this paper is to determine the critical factors of total quality management (TQM) and to measure their effect on organizational performance of SMEs operating in Turkish textile industry.Design/methodology/approach – Data for this study was collected using a self‐administered questionnaire that was distributed to 500 SMEs in textile industry in the city of Istanbul in Turkey selected randomly from the database of Turkish Small Business Administration (KOSGEB). Of the 500 questionnaires posted, a total of 163 questionnaires were returned.Findings – Using exploratory and confirmatory factor analyses, seven empirically validated dimensions of TQM were identified. The structural equation modelling technique was employed to investigate the relationship between the implementation of TQM practices and organizational performance. Data analysis reveals that there is a strong positive relationship between TQM practices and non‐financial performance of SMEs, while there is only weak inf...

Measuring firm performance using financial ratios: A decision tree approach

Abstract: Determining the firm performance using a set of financial measures/ratios has been an interesting and challenging problem for many researchers and practitioners Identification of factors (ie, financial measures/ratios) that can accurately predict the firm performance is of great interest to any decision maker In this study, we employed a two-step analysis methodology: first, using exploratory factor analysis (EFA) we identified (and validated) underlying dimensions of the financial ratios, followed by using predictive modeling methods to discover the potential relationships between the firm performance and financial ratios Four popular decision tree algorithms (CHAID, C50, QUEST and C&RT) were used to investigate the impact of financial ratios on firm performance After developing prediction models, information fusion-based sensitivity analyses were performed to measure the relative importance of independent variables The results showed the CHAID and C50 decision tree algorithms produced the best prediction accuracy Sensitivity analysis results indicated that Earnings Before Tax-to-Equity Ratio and Net Profit Margin are the two most important variables