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The goal of my thesis is to describe Project management office, its functions; a structure and its place in an organization as well as assumptions for its right implementation in an orgnanization. A first and a second section of the thesis introduce project management and project management office as such. Basic functions and models are described. A third section deals with each stages of implementatation of the office with a particular focus on main analysis and documents. Trends in implementation of the office, main challenges and variables influencing project management office performance are described in fourth section. The informantion was assembled based on studies carried out in the last 7 years. The last section consists of research, analysis and documentation for the first stage of implementation process designed for a specific organization which is the main outcome of the thesis.

O gerenciamento dos riscos constitui um dos pontos fundamentais para o sucesso de projetos de implantação de um Enterprise Resource Planning - Sistema Integrado de Gestão (ERP), visto que são trabalhos complexos com grandes investimentos, longos períodos e alto risco. Um aspecto que influencia significativamente os projetos e que deveria ser considerado na análise de riscos é a sazonalidade, apesar de ser pouco abordado na literatura. Neste sentido, este trabalho tem como objetivo identificar e analisar os métodos e recursos de análise de riscos mais adequados para projetos de implantação de ERP influenciados por incertezas sazonais. No contexto desse trabalho, entende-se por incertezas sazonais como incertezas que ocorrem em determinados períodos do ano, enquanto que a probabilidade de ocorrência será diferente nesses períodos em relação aos outros períodos do ano. Para alcançar o objetivo, esse trabalho foi dividido em quatro partes. A primeira delas é a Revisão Sistemática da Literatura (RSL), que foi realizada para identificar métodos recentemente utilizados por pesquisas da literatura para analisar riscos em projetos. Posteriormente, com os trabalhos selecionados na RSL, foi realizada uma análise de conteúdo semântica para decompor os métodos identificados em recursos de análise de riscos. O grau de importância dos recursos de análise de riscos para os projetos de implantação de ERP influenciados por incertezas sazonais foi validado através da técnica Delphi, com o apoio de especialistas em gerenciamento de projetos. A técnica Delphi foi realizada em duas rodadas que duraram aproximadamente 30 dias cada uma, finalizando a segunda rodada com uma concordância forte entre as opiniões entre 16 participantes, calculada através do coeficiente de concordância W de Kendall. Por fim, as informações obtidas com a técnica Delphi permitiram também priorizar dos métodos de análise de riscos para esses tipos de projetos. O resultado obtido com esta pesquisa foi a identificação de seis métodos e oito recursos mais adequados para analisar riscos em projetos de implantação de ERP influenciados por incertezas sazonais. Destaca-se dentre os métodos de análise de riscos mais adequados o método Matriz de Probabilidade e Impacto, pois foi identificado na literatura utilizando recursos \"Análise de probabilidade e impacto\", \"Matriz de probabilidade e impacto\" e \"Riscos categorizados por fase do projeto\", classificados como muito importantes para analisar riscos nesses tipos de projetos. Também foram analisadas, separadamente, as importâncias atribuídas aos recursos de análise de riscos pelos grupos de participantes do painel Delphi, formados por Profissionais de Projetos e Profissionais de Diretoria. Dentre os seis métodos de análise de riscos mais adequados para projetos de implantação de ERP influenciados por incertezas sazonais, três métodos não são tradicionais na área de gerenciamento de riscos em projetos, o que contribui para profissionais e pesquisadores passem a conhecer e considerar tais métodos nesses tipos de projetos / Risk management is one of the key points for the success of Enterprise Resource Planning (ERP) implementation projects, since they are complex jobs with large investments, long periods and high risk. One aspect that significantly influences the projects and that should be considered in the risk analysis is the seasonality, although it has been low discussed in the literature. In this respect, this work aims to identify and analyze the most suitable resources risk analysis methods and resources for ERP implementation projects influenced by seasonal uncertainties. In the context of this work, seasonal uncertainties mean uncertainties taking place at certain times of the year, while the probability of appearance will be different from these periods to others. To reach the goal, this work was divided into four parts. The first of these is the Systematic Review of Literature, which was carried out to identify methods used recently in literature researches to analyze risks in projects. Subsequently, with the selected papers in the RSL, a semantic content analysis was performed to decompose the methods identified in risk analysis resources. The importance degree of the risk analysis resources to the ERP implementation projects influenced by seasonal uncertainties was validated through the Delphi technique, with the support of project management specialists. The Delphi technique was performed in two rounds that lasted approximately 30 days each, finishing the second round with a high agreement of opinions among 16 participants, calculated through the coefficient of agreement W of Kendall. Finally, the information obtained with the Delphi technique also allowed to prioritize the risk analysis methods for these types of projects. The result obtained with this research was the identification of six most suitable methods and eight most suitable resources to analyze risks in ERP implementation projects influenced by seasonal uncertainties. Among the most adequate risk analysis methods, the Probability and Impact Matrix method was a highlight, as it was identified in the literature using resources like \"Probability and impact analysis\", \"Probability and impact matrix\" and \"Risks categorized by project phase\", classified as very important to analyze risks in these types of projects. It was also analyzed, separately, the importance given to the risk analysis resources by the Delphi panel participants, formed by Project Professionals and Directing Professionals. Among the six most suitable risk analysis methods for ERP implementation projects influenced by seasonal uncertainties, three methods are not traditional in the project risk management area, which contributes to professionals and researchers to know and consider such methods in these types of projects

O gerenciamento dos riscos constitui um dos pontos fundamentais para o sucesso de projetos de implantação de um Enterprise Resource Planning - Sistema Integrado de Gestão (ERP), visto que são trabalhos complexos com grandes investimentos, longos períodos e alto risco. Um aspecto que influencia significativamente os projetos e que deveria ser considerado na análise de riscos é a sazonalidade, apesar de ser pouco abordado na literatura. Neste sentido, este trabalho tem como objetivo identificar e analisar os métodos e recursos de análise de riscos mais adequados para projetos de implantação de ERP influenciados por incertezas sazonais. No contexto desse trabalho, entende-se por incertezas sazonais como incertezas que ocorrem em determinados períodos do ano, enquanto que a probabilidade de ocorrência será diferente nesses períodos em relação aos outros períodos do ano. Para alcançar o objetivo, esse trabalho foi dividido em quatro partes. A primeira delas é a Revisão Sistemática da Literatura (RSL), que foi realizada para identificar métodos recentemente utilizados por pesquisas da literatura para analisar riscos em projetos. Posteriormente, com os trabalhos selecionados na RSL, foi realizada uma análise de conteúdo semântica para decompor os métodos identificados em recursos de análise de riscos. O grau de importância dos recursos de análise de riscos para os projetos de implantação de ERP influenciados por incertezas sazonais foi validado através da técnica Delphi, com o apoio de especialistas em gerenciamento de projetos. A técnica Delphi foi realizada em duas rodadas que duraram aproximadamente 30 dias cada uma, finalizando a segunda rodada com uma concordância forte entre as opiniões entre 16 participantes, calculada através do coeficiente de concordância W de Kendall. Por fim, as informações obtidas com a técnica Delphi permitiram também priorizar dos métodos de análise de riscos para esses tipos de projetos. O resultado obtido com esta pesquisa foi a identificação de seis métodos e oito recursos mais adequados para analisar riscos em projetos de implantação de ERP influenciados por incertezas sazonais. Destaca-se dentre os métodos de análise de riscos mais adequados o método Matriz de Probabilidade e Impacto, pois foi identificado na literatura utilizando recursos \"Análise de probabilidade e impacto\", \"Matriz de probabilidade e impacto\" e \"Riscos categorizados por fase do projeto\", classificados como muito importantes para analisar riscos nesses tipos de projetos. Também foram analisadas, separadamente, as importâncias atribuídas aos recursos de análise de riscos pelos grupos de participantes do painel Delphi, formados por Profissionais de Projetos e Profissionais de Diretoria. Dentre os seis métodos de análise de riscos mais adequados para projetos de implantação de ERP influenciados por incertezas sazonais, três métodos não são tradicionais na área de gerenciamento de riscos em projetos, o que contribui para profissionais e pesquisadores passem a conhecer e considerar tais métodos nesses tipos de projetos / Risk management is one of the key points for the success of Enterprise Resource Planning (ERP) implementation projects, since they are complex jobs with large investments, long periods and high risk. One aspect that significantly influences the projects and that should be considered in the risk analysis is the seasonality, although it has been low discussed in the literature. In this respect, this work aims to identify and analyze the most suitable resources risk analysis methods and resources for ERP implementation projects influenced by seasonal uncertainties. In the context of this work, seasonal uncertainties mean uncertainties taking place at certain times of the year, while the probability of appearance will be different from these periods to others. To reach the goal, this work was divided into four parts. The first of these is the Systematic Review of Literature, which was carried out to identify methods used recently in literature researches to analyze risks in projects. Subsequently, with the selected papers in the RSL, a semantic content analysis was performed to decompose the methods identified in risk analysis resources. The importance degree of the risk analysis resources to the ERP implementation projects influenced by seasonal uncertainties was validated through the Delphi technique, with the support of project management specialists. The Delphi technique was performed in two rounds that lasted approximately 30 days each, finishing the second round with a high agreement of opinions among 16 participants, calculated through the coefficient of agreement W of Kendall. Finally, the information obtained with the Delphi technique also allowed to prioritize the risk analysis methods for these types of projects. The result obtained with this research was the identification of six most suitable methods and eight most suitable resources to analyze risks in ERP implementation projects influenced by seasonal uncertainties. Among the most adequate risk analysis methods, the Probability and Impact Matrix method was a highlight, as it was identified in the literature using resources like \"Probability and impact analysis\", \"Probability and impact matrix\" and \"Risks categorized by project phase\", classified as very important to analyze risks in these types of projects. It was also analyzed, separately, the importance given to the risk analysis resources by the Delphi panel participants, formed by Project Professionals and Directing Professionals. Among the six most suitable risk analysis methods for ERP implementation projects influenced by seasonal uncertainties, three methods are not traditional in the project risk management area, which contributes to professionals and researchers to know and consider such methods in these types of projects

<p>An implementation project of an ERP system results in large changes. Organizations</p><p>that face an ERP implementation project have several risks to</p><p>consider in order to avoid problems that cause failures. The purpose of</p><p>this research is to extend existing models and create a method for implementation</p><p>of ERP systems. The method has then been employed to an</p><p>ongoing project at the department of Procurement and Supply at Ericsson</p><p>Mobile Platforms in Lund. Objectives for the research are to consider</p><p>which implementation strategy can be used and how an organization can</p><p>minimize risks.</p><p>The research approach and methodology is influenced by the qualitative</p><p>research method since it was necessary to gather qualitative facts instead</p><p>of quantitative facts. Included is also a case study due to the research is</p><p>executed within Ericsson Mobile Platforms in Lund.</p><p>There are two main opposite implementation strategies, Big Bang and</p><p>Step-by-Step. The choice of implementation strategy depends on number</p><p>of factors like the size of the organizations, complexity and resources.</p><p>A method of ERP implementation has been put forward as a result of the</p><p>integrated models. The method includes an overall model and a check list.</p><p>Risk identification is a problem that many implementation project faces, a</p><p>way to solve this is to make a careful risk analysis, a risk matirx with several</p><p>identified risks are putted forward throughout this study.</p>

Methods and ways of implementation of changes and innovations in companies through project management are in today's society very well established. There exists methodologies, techniques and tools for the management of individual projects. However in a role of project manager, I very often faced the fact that companies are performing the project portfolio management in very intuitive way. This in itself leads to failed and prematurely terminated projects, initiation of the wrong projects or realisation of correct projects, but at the wrong time. Very often I have also recognized, that there is lack of awareness of fact, that there are also Open Source applications that can help with the organization's portfolio. This thesis deals with the definition of requirements, search and selection of proper OSS application and subsequent implementation. In the first part of this thesis I prepare a theoretical framework about PPM, and on that basis then identify and verify a set of requirements for selection of right OSS PPM application. The next section of thesis describes searching for suitable applications from a variety of sources, assessment against the requirements and the final selection. In the last part the implementation project is drafted, which aims to serve other colleagues in project management as one of the possible implementation paths. The outputs are then continuously confronted with experts in matter of projects and project management in the field of IT in order to maximize symbiosis between theory and real life experiences. Virtually every project management methodology defines the collection of already-proven techniques, best practices or lessons learned from the previous similar implementations. The main contribution of this thesis I see in fact that it contains not only the design of the project implementation, but also describes a logical path, what leads to the result. Therefore this thesis could be used as a base or discussed best practice, when a project of implementation of PPM application in place.

This dissertation is aimed to analyze current status of the company information system, to reveal it's weak points, then to explore theoretical possibilities of a solution and finally to design a new solution of information system.

An implementation project of an ERP system results in large changes. Organizations that face an ERP implementation project have several risks to consider in order to avoid problems that cause failures. The purpose of this research is to extend existing models and create a method for implementation of ERP systems. The method has then been employed to an ongoing project at the department of Procurement and Supply at Ericsson Mobile Platforms in Lund. Objectives for the research are to consider which implementation strategy can be used and how an organization can minimize risks. The research approach and methodology is influenced by the qualitative research method since it was necessary to gather qualitative facts instead of quantitative facts. Included is also a case study due to the research is executed within Ericsson Mobile Platforms in Lund. There are two main opposite implementation strategies, Big Bang and Step-by-Step. The choice of implementation strategy depends on number of factors like the size of the organizations, complexity and resources. A method of ERP implementation has been put forward as a result of the integrated models. The method includes an overall model and a check list. Risk identification is a problem that many implementation project faces, a way to solve this is to make a careful risk analysis, a risk matirx with several identified risks are putted forward throughout this study.

The thesis focuses on the selection process and the implementation of the new information system (hereinafter "IS") in a manufacturing company. This is achieved by detailing characteristics of all individual phases and steps of the selection and implementation processes in the context of one appointed company. The characteristics analysis identifies key factors which need to be managed well by the company in order to accomplish a desired outcome. The thesis also includes a generic and coherent framework and it concludes with a comprehensive proposal which can be used as a tool for a successful selection and implementation of the new IS.

Enterprise Resource Planning (ERP) is a software solution which offers the opportunity to strengthen the company's effectiveness, integrating the business processes across functional areas. In order to obtain the expected benefit, a successful implementation of the ERP project is crucial.  The aim of this thesis is to understand which different leadership styles can be applied during the ERP implementation phase, how they influence the overall project outcome and what leadership style can lead to the successful overall project outcome. The research covers following questions. To begin we will study ​which different leadership styles are applied in ERP implementation projects and study the leader’s trait &amp; behavior through the project implementation process. ​Afterwards we will study how significant the leadership style is to achieve a successful overall project outcome and which style better suits the general context of an ERP implementation project.  Survey questions were prepared either to project managers with experience in ERP implementation projects within their company or managers working for consultancy service firms. Concepts from multi-grounded theory i.e. open-, axial- and selective coding for empirical grounding are used as a methodological approach in the thesis. After the empirical and theoretical analysis, the conclusion we could draw was that the task structure and demand for the given situation, in which different type of team members are involved, is determining the factors to achieve the leadership effectiveness and consequently it is considered to be the major element determining the leadership style to be applied during the project.