Determining Six Sigma success factors in Turkey by using structural equation modeling

Ümit Kuvvetli · Ali Rıza FİRUZAN · Süleyman Alpaykut · Atakan Gerger

28 citations0/0 files storedJournal of Applied Statistics

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Quality and Supply Management Management and Optimization Techniques Management Systems and Quality Improvement

Abstract

Since it includes strong statistical and executive techniques, Six Sigma (SS) succeeded in many countries and different sectors. Especially successful SS applications of many international companies have increased the interest of other companies. As a result of this, the number of implemented SS projects in various countries has increased. Although successful SS projects are often in mind, the number of failed projects because of various reasons is not as low as to be ignored. As well as there are many factors that affect the success level of SS projects, and these factors vary according to countries. In this study, a survey was applied to 117 people who have 1 of SS belts in order to determine success levels of the SS projects in Turkey. By using explanatory factor analysis and structural equation modeling, critical success factors were determined. According to the results, project selection and its scope, quality culture and defining and measuring of metrics were determined as the top factors that are affecting success levels of SS projects applied in Turkey. The results of the study were also compared with the results of similar projects implemented in other countries.

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References

1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 1951Coefficient Alpha and the Internal Structure of Tests 1988Structural equation modeling in practice: A review and recommended two-step approach.1991Structural Equations with Latent Variables.2003Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures 2005Authentic leadership development: Getting to the root of positive forms of leadership 1997Statistics notes: Cronbach's alpha: Table 1 2000The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance

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