Not every project deserving of success achieves it. Conversely, not every project heading for the scrap heap arrives. The journey to project success is long and hard and does not happen overnight. To understand the journey to project success we need to understand what makes a project successful. A successful project can be classified as a Project of which the costs did not exceed 25% of the agreed capital approved with a less than 25% schedule slip and with all the operational problems being sorted out in less than a year. Project success potential, can be increased by focusing on the critical factors listed in this study, namely: Project Front End Loading (FEL), high calibre project teams, and people skills/soft skills of project management. The success of a project can be increased when the project has high calibre project teams starting the project with very effective Front End Loading (FEL) and keep project team members continuity based on the fact that the project is managed by a project manager understanding people who have the soft skill to lead and influence the project team, rather than managing the team. The research was conducted by means of a literature and empirical study. The literature study documents the critical factors for project success. Knowledge gained from the literature study formed the basis for the empirical study to test critical factors for project success in practice and the recommendations can be read in chapter four. / Thesis (M.B.A.)--North-West University, Vaal Triangle Campus, 2009.

Submitted by JOSIANE SANTOS DE OLIVEIRA (josianeso) on 2018-12-18T12:37:52Z No. of bitstreams: 1 Bruno de Souza_.pdf: 1027621 bytes, checksum: 3b71d98874c4525c8c0ee56a60328f6a (MD5) / Made available in DSpace on 2018-12-18T12:37:52Z (GMT). No. of bitstreams: 1 Bruno de Souza_.pdf: 1027621 bytes, checksum: 3b71d98874c4525c8c0ee56a60328f6a (MD5) Previous issue date: 2018-05-30 / Nenhuma / O presente trabalho apresenta um estudo de caso a respeito dos fatores críticos no desenvolvimento colaborativo de novos produtos em PME’s do setor de áudio profissional da América Latina, utilizando duas empresas do segmento como unidades de análise. O mesmo se justifica devido à importância econômica das PME’s para o Brasil, as dificuldades enfrentadas por elas para inovar, e as lacunas verificadas na literatura no que se refere à inovação aberta e o desenvolvimento colaborativo de novos produtos no contexto destas organizações. Seu principal objetivo foi identificar os fatores críticos no desenvolvimento colaborativo de novos produtos, verificar a aderência das organizações objeto de estudo a eles, e identificar as lacunas existentes. Para cumprir este objetivo, primeiramente, em revisão da literatura, identificaram-se as melhores práticas no desenvolvimento de novos produtos, e os fatores críticos para a colaboração neste processo. Em um segundo momento, através da pesquisa documental, observação direta, e entrevistas semiestruturadas foram coletados dados em duas empresas, uma brasileira e uma argentina. A análise destes dados permitiu a verificação das lacunas existentes entre suas estruturas, processos e práticas, e aquelas recomendadas para o sucesso no desenvolvimento colaborativo de novos produtos. Com o estudo, foi possível constatar que os principais fatores críticos são o poder ou tamanho das organizações, ganho mútuo, motivações e objetivos estratégicos, confiança, comunicação, cultura, equipes, processos de DNP, controle e apoio da alta gerência, e experiências passadas. Verificou-se que os principais descolamentos destas organizações estão na formatação das equipes, informalidade dos processos de DNP, e baixo controle, e poucas experiências passadas. / The current essay presents a case study on the critical factors for collaborative product development on Latin American SME’s of the professional audio segment. It is justified by the economic relevance of SME’s in Brazil, the difficulties they find to innovate, and the lack of studies regarding open innovation and new product development in the context of these organizations. Its main objective was to identify the critical factors on collaborative new product development, verify the adherence of the companies being studied to them, e identify the existing gaps. To achieve this goal, firstly, a review of the literature was made, and was able to identify the best practices in new product development, and the critical factors for collaboration in this process. Secondly, through a documentary research, observation, and semi-structured interviews, data from a Brazilian and an Argentine company was gathered. The analysis of this data allowed the identification of the existing gaps between their structures, processes and practices, and those recommended for successful collaborative new product development. Through this study, it was possible to verify that the main critical factors are power or size of the companies, mutual gains, motivations and strategic objectives, trust, communication, culture, teams, NPD processes, control and support from management, and past experiences. It has been found that the main gaps in these organizations are on the team composition, NPD processes informality, lack of control, and lack of past experiences

Submitted by Patrícia Valim Labres de Freitas (patricial) on 2016-03-18T15:56:04Z No. of bitstreams: 1 Diego Damasio de Lima_.pdf: 5804550 bytes, checksum: da0c9850e6394427315ec0b6f28097c5 (MD5) / Made available in DSpace on 2016-03-18T15:56:04Z (GMT). No. of bitstreams: 1 Diego Damasio de Lima_.pdf: 5804550 bytes, checksum: da0c9850e6394427315ec0b6f28097c5 (MD5) Previous issue date: 2016-01-21 / Nenhuma / A atividade de manutenção, seja de equipamentos ou de instalações, é uma função rotineira na maioria das grandes empresas. Entretanto, com o crescimento da automação e da mecanização, aspectos como a confiabilidade e a disponibilidade tornaram-se pontos–chave em termos de competitividade. Isso se dá pelo fato da eventual paralisação das operações ter um impacto nos custos, na qualidade e na confiabilidade dos produtos e serviços. Além de que, o advento da cobrança cada vez maior por qualidade na execução dos serviços, em geral, e do transporte público, em particular. Da mesma forma, essa busca por competitividade precede uma busca incessante por melhores índices de eficiência, seja na empresa pública ou na privada. Este estudo, em particular, tem como objetivo propor um modelo de identificação dos Fatores Críticos de Sucesso (FCS) do sistema de gestão da manutenção da empresa de Trens Urbanos de Porto Alegre S.A. (Trensurb), a fim de reduzir o impacto da atuação da atividade de manutenção no desempenho do negócio da empresa. Ainda na esfera dos objetivos, essa pesquisa construí a estrutura Sistêmica que reflete o modelo do sistema de Gestão da Manutenção da Trensurb, possibilitando a compreensão de que forma as variáveis envolvidas nesse contexto se interelacionam a partir do Pensamento Sistêmico. Ainda construir arquétipos que reflitam a realidade do modus operandi do sistema de gestão da manutenção da Trensurb. E por fim, analisa a estrutura construída de modo a identificar os FCS - Fatores Críticos de Sucesso (FCS) do sistema de gestão da manutenção por meio do Pensamento Sistêmico. Identificamos como por meio do Pensamento Sistêmico (PS) que esse modelo serve como uma alternativa aos modelos usuais de análise da gestão da manutenção. Com a utilização de métodos qualitativos, levanta-se uma série de relações entre as inúmeras variáveis existentes na atuação do sistema de gestão da manutenção. Como resultados foi possível identificar que a área de atuação da equipe de manutenção terceirizada, o modelo de mix de contratação da manutenção própria x terceirizada, a disponibilidade Operacional, e o MKBF - Mean Kilometer Between Failures, correspondem aos Fatores Críticos de Sucesso do sistema de gestão da manutenção da Trensurb. Além disso, foi possível a contrução da tríade da sustentabilidade da manutenção. Sendo conduzido seguindo os preceitos de um Estudo de Caso, a pesquisa evolui no campo de estudo dos fatores críticos de sucesso, não se limitando a apresentar somente uma abordagem pontual, mas evolui através proposição de uma metodologia de levantamento dos Fatores Críticos De Sucesso com o uso do Pensamento Sistêmico. / The maintenance activity is equipment and facilities, is a routine function in most large companies. However, with the growth of automation and mechanization, aspects such as reliability and availability have become key points in terms of competitiveness. This is partly because of the possible shutdown of operations have an impact on costs, the quality and reliability of products and services. Apart from that, the advent of increasingly charging for quality in the execution of services in general and public transport in particular. Similarly, this search for competitiveness precedes a constant search for better levels of efficiency, whether in public or private company. This study, in particular, aims to propose an identification model of the Critical Success Factors (CSF) of the company's maintenance management system Urban Train of Porto Alegre SA (Trensurb) in order to reduce the impact of the performance of maintenance activity on the company's business performance. Even in the sphere of goals, this research built the systemic structure that reflects the model management system Maintenance of Trensurb, allowing us to understand how the variables involved in this context interrelate from Systems Thinking. Still build archetypes that reflect the reality of the modus operandi of the maintenance management of Trensurb system. Finally, it analyzes the structure constructed to identify the FCS - Critical Success Factors (CSF) maintenance management system through Systems Thinking. As identified through the Systems Thinking (PS) that this model serves as an alternative to the usual models of analysis of maintenance management. With the use of qualitative methods, raises a series of relationships between the numerous variables in the performance of maintenance management system. As a result it was possible to identify the area of operation of outsourced maintenance staff, the hiring mix model's own x outsourced maintenance, operational availability, and MKBF - Mean Kilometer Between Failures, correspond to system Success Factors Critical maintenance management of Trensurb. Furthermore, the construction of sustainable maintenance Triad was possible. Being conducted following the precepts of a case study, the research progresses on the critical success factors field of study, not limited to display only a specific approach, but evolves through proposal of a survey methodology for Critical Success Factors with use of Systems Thinking

Corporate Governance (CG) nowadays is on the agenda of most developed and developing countries, including Jordan, and is receiving considerable attention in the business world as well as in the area of academic research, which is an indication of its importance for business development and society as a whole. The knowledge base about CG in developing countries appears to be limited, but it is growing in size and importance. This study therefore aims to investigate current CG practices and barriers to the development of good CG practices in firms. In order to accomplish the research objectives, a mixed research methodology was adopted. The findings of the study contribute to knowledge by providing empirical data to test and extend the theory of CG. The results suggest that most big and old firms are applying best practice of good CG. Regarding factors inhibiting the practice of effective CG, the results indicate that weakness of the legal environment for firms and lack of knowledge of BODs about CG principles are the most important factors. The empirical results find that constitution, compliance and conscience will affect firm’s performance positively. Separation between the position of CEO and Chairman, the existence of independent NEDs, the use of board subcommittees and a strong disclosure regime also help firms to improve performance. On the basis of the empirical results, the study recommends that the government needs to reform the relevant legislation. These suggestions may strengthen the internal governance of firms, thereby increasing performance and maximise shareholders’ wealth.

This diploma thesis deals with a new trend in the corporate sector -- social networks. These in fact have become a phenomenon due to its growing popularity in recent years. The aim of this thesis is to introduce the social networks in a broader context -- especially the analysis of milestones of social networks. Further comparison of selected social networks from the perspective of business alias what options the company offers a social network for your presentation with access to user data (Social CRM). The third part of the aim of this work is to analyze the critical factors in the integration of social networks into the enterprise information system. The work can be divided into the descriptive (Chapters 2-4) and the practical (Chapters 5-6) part. The first part presents the social networks, the concept of Social CRM and basic characteristics of systems integration. The practical part is focused on all those aims. Author of the work receives information primarily from the electronic information resources that are available at University of Economic in Prague and also from various sources that are on the principle of Web 2.0 (Czech and foreign). Finally, the author also receives information from social networks (social networks options). The work serves as a summary and mapping of existing communication channels on the Internet (e-mail, IRC, selected social networks) and summarizes the critical factors in the integration of social networks into the enterprise information system according to the individual project phases.

Not every project deserving of success achieves it. Conversely, not every project heading for the scrap heap arrives. The journey to project success is long and hard and does not happen overnight. To understand the journey to project success we need to understand what makes a project successful. A successful project can be classified as a Project of which the costs did not exceed 25% of the agreed capital approved with a less than 25% schedule slip and with all the operational problems being sorted out in less than a year. Project success potential, can be increased by focusing on the critical factors listed in this study, namely: Project Front End Loading (FEL), high calibre project teams, and people skills/soft skills of project management. The success of a project can be increased when the project has high calibre project teams starting the project with very effective Front End Loading (FEL) and keep project team members continuity based on the fact that the project is managed by a project manager understanding people who have the soft skill to lead and influence the project team, rather than managing the team. The research was conducted by means of a literature and empirical study. The literature study documents the critical factors for project success. Knowledge gained from the literature study formed the basis for the empirical study to test critical factors for project success in practice and the recommendations can be read in chapter four. / Thesis (M.B.A.)--North-West University, Vaal Triangle Campus, 2009.

隨著網際網路的普及，智慧型手機與物聯網開始興起，根據資策會的調查，台灣約有49.5%的智慧型手機占有率，大約每2人就有一人擁有智慧型手機，而物聯網的興起，製造了大量的數據與資料，而這些數據與資料透過不同的處理方式，可帶給企業不同的商業智慧與洞見，而傳統產業因此面臨了巨大的轉變與挑戰，優步(Uber)就是改變傳統計程車產業與物聯網的一個例子，顧客不再需要招手才能搭上計程車，靠著網路、手機APP與GPS定位系統即可獲知車輛資訊、到達時間與聯絡司機，而優步可掌握乘客資訊、行車路線與顧客服務。不僅僅是計程車產業，亞馬遜的崛起也代表了傳統零售業的轉變，因此如何面對巨量資料對傳統企業都將是一項挑戰。 巨量資料的導入與分析可以提供企業掌握消費者行為，也可透過數據分析研發新服務與產品，此研究從三方面來探討金融產業與網路科技業導入巨量資料系統的關鍵因素，分別為導入流程、企業本身與巨量資料系統，另外藉由三家個案公司訪談，並輔以文獻所探討的研究架構來進行驗證”金融業與網路科技業導入巨量資料的流程為何?”、”金融業與網路科技業導入巨量資料時的關鍵因素?”、” 金融業與網路科技業導入巨量資料後有何優勢?” 本研究最後發現，金融業與網際網路業導入巨量資料分成三個階段，首先企業會先詮釋自身對巨量資料之定義，定義自身巨量資料之意義後，企業會開始集體研討導入流程，依照自身對巨量資料的詮釋來集體擬定對企業最好的導入流程，此階段通常會是三階段中耗時最長，也需做許多內外部研究、規劃與管理。最後一階段為實做階段，企業會依照集思廣益後所擬定出的計畫來完成巨量資料的導入。而本研究透過個案訪談也發現七項導入巨量資料之關鍵因素，包含，導入隊伍的組成、高層管理者的支持、導入時機、巨量資料系統的選擇、明確的目標與策略、內外部員工訓練與支援。最後企業運用第三方與開放式資料軟體來處理巨量資料使企業更了解顧客需求與運用於新產品研發。 / With the popularity of internet, smart phones and Internet of Things begin to emerge. According to Institute for Information Industry, there are approximately 49.5% of smart devices in Taiwan, which mean every two people will own at least one smart device. In addition, more devices are connected to the internet. Therefore, tremendous amount of data is created and increased exponentially. With applicable and correct techniques, Big Data can provide valuable insight and business intelligent. Traditional industries are forced to change. For example, Uber is one innovative idea that changes the ways people ride taxi. Riding taxi become more efficient and effective with Uber. This research explores critical factors of Big Data implementation on financial and internet technology industries from three perspectives. This includes key processes of the Big Data implementation, enterprises factors, and the Big Data system. Moreover, literature review was conducted to. In addition, three case studies were interviewed and analyzed based on research framework. Lastly, three research questions are answered. First, what are the key process for financial and internet technology industries implementing the Big Data system? Second, what are the critical factors for financial and internet technology industries implementing the Big Data system? Third, what are the potential benefits after the Big Data implementation? The research findings are primarily categorized into two parts. First, there are three phases of financial institution and internet technology industries implementing the Big Data system. The three phases included defining, brainstorming and implementation phases. The three phases are described below: 1. Defining Phase: Companies will first define their own interpretation of Big Data in order to plan and coordinated their implementation. 2. Brainstorming Phase: Companies averagely spent most of the time in this phase. The implementation team leads must brainstorm to find the best way to enforce and carry out the Big Data project by searching, organizing and surveying internal and externally. 3. Implementation Phase: Companies follow their previous made proposal steps by steps. This research also concluded and found several critical factors during the Big Data implementation. The critical factors included but not limited to: 1. An implementation team regardless the size to carry out the Big Data project 2. Top management’s commitment on implementation 3. Timing on the implementation 4. Big Data system selection 5. Clear goals and objectives

Not every project deserving of success achieves it. Conversely, not every project heading for the scrap heap arrives. The journey to project success is long and hard and does not happen overnight. To understand the journey to project success we need to understand what makes a project successful. A successful project can be classified as a Project of which the costs did not exceed 25% of the agreed capital approved with a less than 25% schedule slip and with all the operational problems being sorted out in less than a year. Project success potential, can be increased by focusing on the critical factors listed in this study, namely: Project Front End Loading (FEL), high calibre project teams, and people skills/soft skills of project management. The success of a project can be increased when the project has high calibre project teams starting the project with very effective Front End Loading (FEL) and keep project team members continuity based on the fact that the project is managed by a project manager understanding people who have the soft skill to lead and influence the project team, rather than managing the team. The research was conducted by means of a literature and empirical study. The literature study documents the critical factors for project success. Knowledge gained from the literature study formed the basis for the empirical study to test critical factors for project success in practice and the recommendations can be read in chapter four. / Thesis (M.B.A.)--North-West University, Vaal Triangle Campus, 2009.

Submitted by CARLOS FRANCISCO BITENCOURT JORGE null (bitencourt@gmail.com) on 2017-12-20T18:08:23Z No. of bitstreams: 1 Jorge CFB Tese.pdf: 6286253 bytes, checksum: d5d63307bf812e3b768ecf6474db09c0 (MD5) / Submitted by CARLOS FRANCISCO BITENCOURT JORGE null (bitencourt@gmail.com) on 2017-12-21T12:31:26Z No. of bitstreams: 1 Jorge CFB Tese.pdf: 6286253 bytes, checksum: d5d63307bf812e3b768ecf6474db09c0 (MD5) / Approved for entry into archive by Satie Tagara (satie@marilia.unesp.br) on 2017-12-21T12:55:50Z (GMT) No. of bitstreams: 1 jorge_cfb_dr_mar.pdf: 6286253 bytes, checksum: d5d63307bf812e3b768ecf6474db09c0 (MD5) / Made available in DSpace on 2017-12-21T12:55:50Z (GMT). No. of bitstreams: 1 jorge_cfb_dr_mar.pdf: 6286253 bytes, checksum: d5d63307bf812e3b768ecf6474db09c0 (MD5) Previous issue date: 2017-11-10 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / A complexidade é um componente intrínseco que perpassa os processos empreendidos no ambiente interno e externo de uma organização. As organizações estão inseridas em ambientes que, por natureza, são constituídos por conhecimento e inteligência. Nessa perspectiva, ao desenvolverem suas atividades geram novos conhecimentos que, por sua vez, são influenciadas de maneira direta pela complexidade. Em alguns ambientes organizacionais observa-se que a complexidade é inerente aos processos desenvolvidos, aos resultados obtidos e, em alguns casos, em ambas as situações. No âmbito das organizações complexas, pode-se destacar faculdades, clubes de futebol, indústrias, empresas de varejo e entidades de classe que,devido à própria estrutura e modelo de gestão, são organizações que possuem e utilizam conhecimentos e inteligências em todas as atividades e tarefas desempenhadas. Verifica-se na literatura a recorrente discussão sobre a necessidade latente quanto ao aumento da competitividade, por meio de uma gestão eficaz de dados, informações, conhecimentos e inteligências. Sob este enfoque, a pesquisa em questão analisou os aspectos críticos quanto a aplicação da gestão da informação, conhecimento e inteligência em organizações complexas. Para tanto, analisou o referencial teórico referente às temáticas complexidade, inteligência e conhecimento em sete modelos de gestão do conhecimento e sete modelos voltados ao processo de inteligência. O método utilizado foi o ‘Estudo de Caso Múltiplo’, em que se aplicou a técnica da triangulação de dados para obter uma visão ampliada da problemática investigada. Para a coleta de dados, utilizou-se a observação direta, responsável por colher informações sobre a cultura, comunicação, história entre outros aspectos importantes no contexto da organização, a entrevista estruturada e o questionário. A entrevista estruturada foi aplicada com o principal sujeito do nível organizacional. O questionário foi aplicado junto aos funcionários de cada nível organizacional (estratégico, tático e operacional). As análises foram realizadas a partir dos níveis organizacionais de maneira individual em cada organização e, posteriormente, em um nível macro com cada organização. Após análise individual e dos diferentes níveis referentes às organizações participantes, os resultados demonstraram importantes aspectos das organizações e de seus níveis hierárquicos, no que tange ao uso de fontes e fluxos de conhecimento e inteligência no ambiente interno e externo, percepção de informações, conhecimentos e inteligências de maneira processual à demanda de sua aplicação. Em relação às questões teóricas, no que concerne aos aspectos críticos de gestão do conhecimento e da inteligência alinhadas às informações coletadas, foi possível construir um modelo conceitual que integra etapas e atividades voltadas a essas temáticas para as organizações complexas. As organizações complexas, a partir do modelo desenvolvido, podem trabalhar a implantação, desenvolvimento e gestão do conhecimento e da inteligência em seus processos organizacionais. Foram sugeridas algumas estratégias que podem minimizar o impacto da possível implantação do modelo integrado de gestão do conhecimento e da inteligência. / The complexity is an intrinsic component that pervades the processes undertaken in the internal and external environment of an organization. The organizations are embedded in environments that, by nature, are made up of knowledge and intelligence. In this perspective, in developing their activities, they generate new knowledge that, in turn, are directly influenced by complexity. In some organizational environments, it is observe that complexity is inherent to the processes developed, the results obtained and, in some cases, both situations. In the context of complex organizations, we can highlight colleges, football clubs, industries, retail companies and class entities that, due to their own structure and management model, are organizations that possess and use knowledge and intelligence in all activities and Tasks performed. There is a recurrent discussion in the literature about the latent need for increase of competitiveness, through the efficient management of data, information, knowledge and intelligence. Under this approach, the research in question analyzed the critical aspects regarding the application of information, knowledge and intelligence management in complex organizations. In order to do so, it analyzed the theoretical reference referring to the themes complexity, intelligence and knowledge in seven models of knowledge management and seven models focused on the process of intelligence. The method used was the 'Multiple Case Study', in which the data triangulation technique was applied to obtain an expanded view of the problem investigated. For the data collection, the direct observation was used, responsible for collecting information about culture, communication, history and other important aspects in the context of the organization, the structured interview and the questionnaire. The structured interview was applied with the main subject at the organizational level. The questionnaire was applied to employees at each organizational level (strategic, tactical and operational). The analyzes were performed from the organizational levels individually in each organization and, later, at a macro level with each organization. After an individual analysis and the differents levels of the participating organizations, the results showed important aspects of organizations and their hierarchical levels regarding the use of sources and flows of knowledge and intelligence in the internal and external environment, perception of information, knowledge and intelligences in a procedural way to the demand of its application. Regarding the theoretical issues, in what concerns the critical aspects of knowledge management and intelligence aligned to the information collected, it was possible to construct a conceptual model that integrates steps and activities focused on these themes for complex organizations. Complex organizations, based on the developed model, can work on the implementation, development and management of knowledge and intelligence in their organizational processes. Some strategies have been suggested that can minimize the impact of the possible implementation of the integrated model of knowledge management and intelligence. / Programa PDS: 99999.008196/2014-01

Made available in DSpace on 2016-06-02T19:51:53Z (GMT). No. of bitstreams: 1 4153.pdf: 2182125 bytes, checksum: a074f91bda22478d2c98528b9d3de6ff (MD5) Previous issue date: 2012-02-27 / Financiadora de Estudos e Projetos / The organizations face problematic situations that involve the analysis of a significant number of correlated variables to reduce the variability of production processes. There are many approaches, methods and techniques to support problem solving, however has achieved distinction in literature and adopted by Six Sigma companies, one of whose goals is to identify and eliminate the causes of variation in product and process through the use of techniques statistics. The Multivariate Data Analysis (MDAs) belongs to a set of techniques that examine both the relationship between several variables, have not been included in intensive training programs in Six Sigma. This research is qualitative and descriptive, whose purpose is to confirm the dimensions criticism from Firka (2011) and Montgomery (2010) agree that the use of statistical methods to problems of manufacturing in the context of Six Sigma programs, through the study of multiple cases. These research findings confirm the association between the use of technical barriers in the MDAs to factors of management and sociology, such as the lack of management support, focus on short-term results, the methodological factors (selection and validation of variables and results) and the statistical assumptions (multivariate normality, multicollinearity and homoscedasticity). / As organizações enfrentam situações problemáticas que envolvem a análise de um conjunto significativo de variáveis correlacionadas para reduzir a variabilidade dos processos produtivos. Há muitas abordagens, métodos e técnicas de apoio à solução de problemas; entretanto tem obtido destaque na literatura e adotado pelas empresas o Seis Sigma, cujo um dos objetivos é identificar e eliminar as causas de variação do produto e processo por meio do uso de técnicas estatísticas. A Análise de Dados Multivariados (MDAs) pertencem a um conjunto de técnicas que analisam simultaneamente a relação existente entre diversas variáveis, ainda pouco difundidas nos programas de treinamento em Seis Sigma. Esta pesquisa tem caráter qualitativo-descritivo, cujo objetivo é confirmar as dimensões críticas apontadas por Firka (2011) e Montgomery (2010) que comprometem o uso de métodos estatísticos em problemas da manufatura no contexto dos programas Seis Sigma, por meio do estudo de casos. Os resultados desta pesquisa confirmam a associação entre as barreiras no uso de técnicas MDAs a fatores de ordem gerencial e sociológica, tais como, a falta de suporte gerencial, foco em resultados de curto prazo, fatores de ordem metodológica (seleção e validação das variáveis e dos resultados) e aos pressupostos estatísticos (Normalidade Multivariada, Multicolinearidade e Homocedasticidade). Palavras chaves: Analise de Dados Multivariados (MDAs). Fatores Críticos. Melhoria Contínua (MC). Projetos Seis Sigma.