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Six sigma is a popular approach to drive out variability from processes using powerful statistical tools and techniques. Although originally introduced by Motorola in 1986 as a quality performance measurement, six sigma has evolved into a statistically oriented approach to process and product quality improvement. Many organisations have reported significant benefits as a result of six sigma project implementation, though not all are yet success stories. This paper reviews the literature related to the critical success factors for the effective implementation of six sigma projects in organisations.

The purpose of this paper is to identify the critical success factors (CSFs) associated with the Six Sigma (SS) implementation in companies operating in Brazil.

The research was tested based on survey questionnaire responses from a sample of 45 Brazilian manufacturing and services companies that have implemented SS programmes. An exploratory factorial analysis (EFA) was conducted to statistically identify conclusions regarding CSFs in SS implementation.

Based on the survey of empirical data, the investigated individual CSFs were reduced in five main critical factor categories: data availability, prior infrastructure and training, goals and gains, implementation of the solution and resistance to change. They have been shown to be the extremely important factors for SS implementation in Brazilian companies.

This study helps SS managers focus on the most effective factors (best practices) in SS implementation. Consequently, this may guide a company’s resources allocation and efforts to guarantee a successful SS implementation.

Despite a vast body of literature in SS CSFs, this paper demonstrates those factors within a Brazilian context. Moreover, the tested content of this study fills the research gap by providing reliable and useful CSFs of SS implementation, which contributes to increase the external validity of the SS construct. On top of that, although the results reinforce the importance of well-known, traditional CSFs in SS implementation, they also identify contingent factors related to risk perception, which are barely mentioned in previous literature.