The aim of this research is to investigate the relationship between organizational and national culture and the use and effectiveness of systems development methodologies. Various different aspects of both culture and systems development methodologies are analysed. The first aspect studied is the state of systems development methodology use in South Africa. The results indicate that 74% of the organizations that participated in this study use a systems development methodology. Relationships between horizontal use of systems development methodologies and the success of the IS system and the success of the development process are also found. This relationship shows that when the systems development methodology knowledge is used in a bigger proportion of projects and by a bigger proportion of people, then both the development process and the IS system will be more successful. A relationship is also found that exists between organizational culture and system development methodologies. Organizations with a more hierarchical culture have been using SDMs longer than other organizational cultures. Relationships between national culture and systems development methodologies are also studied. The results show that when people prefer to work in a group (low individualism), the systems development methodology knowledge will be used more horizontally in the organization. The results also show relationships between the success of the IS system, the success of development process and the national and organizational cultures. When managers involve people at lower levels in the organizations in the decision making process, the developed IS system is more successful. The results show that organizations with a more developmental culture will have a more successful development system. The more an organization have a rational culture the more successful the IS system is perceived to be. / Thesis (MSc (Computer Science))--North-West University, Potchefstroom Campus, 2012.

<b>Background:</b> 'Competing risks' are events that either preclude or alter the probability of experiencing the primary study outcome(s). Many standard survival models fail to account for competing risks, introducing an unknown level of bias in their measures of absolute and relative risk. Individuals with type 2 diabetes mellitus (T2DM) and albuminuria are at increased risk of multiple competing causes of mortality, including cardiovascular disease (CVD), cancer and renal disease, yet studies to date have not implemented competing risks methodology. <b>Aim:</b> Using albuminuria in T2DM as a case study, this Thesis set out to quantify differences between standard- and competing-risks-adjusted survival analysis estimates of absolute and relative risk for the outcomes of cardiovascular and cancer mortality. <b>Methods:</b> 86,962 patients aged &ge;35 years with T2DM present on or before 2005 were identified in the Clinical Practice Research Datalink. To quantify differences in measures of absolute risk, cumulative risk estimates for cardiovascular and cancer mortality from standard survival analysis methods (Kaplan-Meier estimator) were compared to those from competing-risks-adjusted methods (cumulative incidence competing risk estimator). Cumulative risk estimates were stratified by patient albuminuria level (normoalbuminuria vs albuminuria). To quantify differences in measures of relative risk, estimates for the effect of albuminuria on the relative hazards of cardiovascular and cancer mortality were compared between standard cause-specific hazard (CSH) models (Cox-proportional-hazards regression), competing risk CSH models (unstratified Lunn-McNeil model), and competing risk subdistribution hazard (SDH) models (Fine-Gray model). <b>Results:</b> Patients with albuminuria, compared to those with normoalbuminuria, were older (p&LT;0.001), had higher systolic blood pressure (p&LT;0.001), had worse glycaemic control (p&LT;0.001), and were more likely to be current or ex-smokers (p&LT;0.001). Over the course of nine years of follow-up 22,512 patients died; 8,800 from CVD, 5,239 from cancer, and 8,473 from other causes. Median follow-up was 7.7 years. In patients with normoalbuminuria, nine-year standard and competing-risks-adjusted cumulative risk estimates for cardiovascular mortality were 11.1% (95% confidence interval (CI): 10.8-11.5%) and 10.2% (95% CI: 9.9-10.5%), respectively. For cancer mortality, these figures were 8.0% (95% CI: 7.7-8.3%) and 7.2% (95% CI: 6.9-7.5%). In patients with albuminuria, standard and competing-risks-adjusted estimates for cardiovascular mortality were 21.8% (95% CI: 20.9-22.7%) and 18.5% (95% CI: 17.8-19.3%), respectively. For cancer mortality, these figures were 10.7% (95% CI: 10.0-11.5%) and 8.6% (8.1-9.2%). For the effect of albuminuria on cardiovascular mortality, hazard ratios from multivariable standard CSH, competing risks CSH, and subdistribution hazard ratios from competing risks SDH models were 1.75 (95% CI: 1.63-1.87), 1.75 (95% CI: 1.64-1.87), and 1.58 (95% CI: 1.48-1.69), respectively. For the effect of albuminuria on cancer mortality, these values were 1.27 (95% CI: 1.16-1.39), 1.28 (95% CI: 1.17-1.40), and 1.11 (95% CI: 1.01-1.21). <b>Conclusions:</b> When evaluating measures of absolute risk, differences between standard and competing-risks-adjusted methods were small in absolute terms, but large in relative terms. For the investigation of epidemiological relationships using relative hazards models, standard survival analysis methods produced near-identical risk estimates to the CSH competing risks methods for the clinical associations evaluated in this Thesis. For the evaluation of risk prediction using relative hazards models, CSH models produced consistently higher risk estimates than SDH models, and their use may lead to over-estimation of the predictive effect of albuminuria on either outcome. Where outcomes are less common (like cancer) CSH models provide poor estimates of risk prediction, and SDH models should be used. This research demonstrates that differences can be present between risk estimates derived using CSH and SDH methods, and that the two are not necessarily interchangeable. Moreover, such differences may be present in other clinical areas.

Magister Legum - LLM (Criminal Justice and Procedure) / As states continue to rapidly transition from conflict or autocracy to democracy, there has been need to address past gross human rights violations. To address these past egregious violations, transitioning countries often relied on immunities and prosecutions. However, prosecutions and amnesties presented several challenges that necessitated a recourse to truth and reconciliation commissions (hereafter TRCs). Since then, TRCs have evolved to be an essential accountability mechanism in transitional justice. Given the important role that TRCs play in transitioning countries, the composition of TRCs should be of credible character in the eye of the public. The selected and appointed truth commissioners (hereafter commissioners) play a key role in the truth-finding process and the importance of having a constraint-free and reliable work plan of selecting these commissioners cannot be overestimated. However, in practice the selection and appointment of the commissioners has proven to be a challenging exercise.

Magister Legum - LLM (Criminal Justice and Procedure) / As states continue to rapidly transition from conflict or autocracy to democracy, there has been need to address past gross human rights violations. To address these past egregious violations, transitioning countries often relied on immunities and prosecutions. However, prosecutions and amnesties presented several challenges that necessitated a recourse to truth and reconciliation commissions (hereafter TRCs). Since then, TRCs have evolved to be an essential accountability mechanism in transitional justice.

Background: Existing literature suggests research about sustainability and Small- and Medium Sized Enterprises (SMEs) to be limited. SMEs tend to have less resources than large companies and as a result of this sustainability integration may be challenging. Despite these resource restrictions, some SMEs still succeed in integrating sustainability. Some literature suggests that organisational culture could influence the integration of sustainability. Purpose: The purpose of this thesis is to investigate how organisational culture attributes influence the integration of sustainability in Swedish SMEs. Method: To fulfil the purpose of this thesis, a multiple case study consisting of six SMEs in the Jönköping region is performed. Qualitative semi-structured interviews are conducted with the manager and/or head of sustainability. Furthermore, structured interviews are conducted with managers and employees, in an attempt to gain insights into the values and cultural attributes of the organisational culture of the SME.   Main Findings: The results reveal that an organisational culture which emphasises internal relationships, stability and goal-setting and planning seem to facilitate the integration of sustainability. SMEs with the attribute of valuing internal relationships are aided in the integration of sustainability through the existence of tightly knit groups that work together toward the long-term goal of integrating sustainability. The positive influence of stability stems from the fact that the attribute provides structure, economic stability, and a stable employee base. A high focus on goal-setting and planning may enable the integration of sustainability through providing clear missions and objectives which the company strives toward.  Managerial Implications: This study urges three implications for managers of SMEs; 1. It provide managers with some understanding of how their organisational culture may affect sustainability integration. 2. It provide insight into the challenges companies may face as the result of lacking certain cultural attributes. 3.  It provide indications of which attributes that could be beneficial to develop or incorporate into the organisational culture in order to aid the integration of sustainability.

Orientador: Luiz Koodi Hotta / Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Cientifica / Made available in DSpace on 2018-08-21T13:55:30Z (GMT). No. of bitstreams: 1 Tsai_Rodrigo_D.pdf: 3859687 bytes, checksum: 1064b1fa05b98307d97763bb79e95de4 (MD5) Previous issue date: 2012 / Resumo: Nesse trabalho discutimos aplicações de cópulas a modelos de riscos múltiplos com dependência e modelos de misturas de distribuições. Numa primeira parte analisamos a inclusão de dependência entre os fatores de risco do modelo de riscos múltiplos. Os modelos de riscos múltiplos são uma família de modelos flexíveis para representar dados de tempos de vida. Suas maiores vantagens sobre os modelos de risco simples incluem a habilidade de representar funções de taxa de falha com formas não usuais e a facilidade de incluir covariáveis. O objetivo principal dessa parte é modelar a dependência existente entre as causas latentes de falha do modelo de riscos múltiplos por meio de funções de cópulas. A escolha da função de cópulas bem como das funções de distribuição dos tempos latentes de falha resultam numa classe flexível de distribuições de sobrevivência que é capaz de representar funções de taxa de falha de formas multimodais, forma de banheira e contendo efeitos locais dados pela concorrência dos riscos. A identificação e estimação do modelo proposto também são discutidas. Ao eliminar a restrição de suporte positivo para as variáveis latentes, o método pode ser utilizado para gerar uma família rica de distribuições univariadas contendo assimetrias e múltiplas modas. Na segunda parte propomos um modelo de mistura de distribuições generalizado utilizando cópulas. O parâmetro da cópula é útil para definir formas de assimetria e ponderar com maior ou menor peso determinadas regiões do suporte das distribuições componentes para compor a mistura. pesos das distribuições componentes variam no suporte da distribuição e não são restritos à soma unitária. A modelagem resultante acrescenta uma maior flexibilidade aos modelos de misturas na representação de dados com densidades de várias formas multimodais e assimétricas. O modelo tem como casos particulares o modelo de mistura tradicional, o modelo de riscos múltiplos e o modelo de fração de cura. Os modelos são aplicados a dados simulados e reais da literatura. Foram utilizados os métodos de estimação de máxima verossimilhança e os critérios de ajuste de Akaike e Bayesiano para a seleção dos modelos. Os modelos representaram bem os conjuntos de dados analisados em comparação com metodologias propostas na literatura / Abstract: In this work, we discuss the application of copula to polyhazard and mixture models. First we analyse the inclusion of dependence among failure causes in the polyhazard models. The polyhazard models constitute a family of flexible models to represent lifetime data. Their main advantages over single hazard models include the ability to represent hazard rate functions with unusual shapes and the ease of including covariates. The main purpose in this first part is to model the dependence that exists among the latent causes of failure in the polyhazard model by copula functions. The choice of the copula function as well as the latent failure distributions produces a flexible class of survival distributions that is able to model hazard functions with unusual shapes such as bathtub or multimodal curves, while also modelling local effects given by the competing risks. The model identification and estimation are also discussed. Dropping the restriction of positive support for the latent variables, the method can be used to generate a rich family of univariate distributions with asymmetries and multiple modes. In the second part a generalized mixture model using copula functions is proposed. To assemble the mixture model, the parameter of the copula function is used to define asymmetry shapes and to attribute more or less weight to chosen regions of the component distributions. The weights of the component distributions vary on the support of the distribution and are not restricted to the unitary sum. The resulting model increases the flexibility of the mixture models to represent data with densities with several multimodal and asymmetric shapes. Special cases of the model are the traditional mixture models, the polyhazard model, and the cure fraction model. Simulated and empirical data from the literature are analysed by the proposed models. The estimation was done by maximum likelihood methods and the selection of the models used the Akaike and Bayesian criteria. The proposed models exhibited very good fit to the data sets in comparison to other methodologies presented in the literature / Doutorado / Estatistica / Doutor em Estatística

Purpose and research question: The purpose of this research is to explore how dynamic marketing capabilities in international e-tail companies are influenced by organizational culture. Furthermore, the aim is to contribute to the theoretical field of marketing capabilities, as well as providing practical implications to managers in international e-tail companies.How does organisational culture influence dynamic marketing capabilities in international e-tail companies? Method: The study is conducted with a qualitative method and an abductive approach, using a single case study design. The empirical data consist of eight semi-structured interviews with people at the company Scandinavian Design Center, in addition to secondary data and observations on site. Findings: The results of the study indicate that characteristics from four types of organisational cultures, including entrepreneurial, team, hierarchical and rational can influence DMCs positively and negatively on two levels: incremental and renewing. Team culture influences DMCs positively on both levels, while entrepreneurial culture has both positive and negative influence on different levels. Hierarchical and rational culture negatively influence DMCs on both levels, except when it comes to formal roles and articulated goals, which positively influence both incremental and renewing DMCs.

Orientador: Djalma de Carvalho Moreira Filho / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Ciências Médicas / Made available in DSpace on 2018-08-26T22:55:22Z (GMT). No. of bitstreams: 1 Ferraz_RosemeiredeOlanda_D.pdf: 2711370 bytes, checksum: b4966f4c4ea3b88daffa54c0576bd307 (MD5) Previous issue date: 2015 / Resumo: O objetivo deste estudo é identificar os fatores associados ao tempo de sobrevida do câncer de mama, como idade, estadiamento e extensão do tumor, utilizando modelos de riscos proporcionais de Cox e de riscos competitivos de Fine-Gray. E também propor um modelo de regressão paramétrico para ajustar o tempo de sobrevida na presença dos riscos competitivos. É um estudo de coorte retrospectivo de base-populacional referente a 524 mulheres diagnosticadas com câncer de mama no período de 1993 a 1995, acompanhadas até 2011, residentes no município de Campinas/SP. Um ponto de corte para a variável contínua da idade foi escolhido utilizando-se modelos de Cox. Nos ajustes de modelos simples e múltiplo de Fine-Gray e de Cox, a idade não foi significativa quando o óbito por câncer de mama foi o evento de interesse. As curvas de sobrevivências estimadas por Kaplan-Meier evidenciaram diferenças expressivas nas probabilidades comparando-se os óbitos por câncer de mama e por riscos competitivos. As curvas de sobrevida por câncer de mama não apresentaram diferenças significativas quando comparadas as categorias de idades, segundo teste de log rank. Os modelos de Fine-Gray e Cox identificaram praticamente as mesmas covariáveis influenciando no tempo de sobrevida para ambos eventos de interesse, óbitos por câncer de mama e óbitos por riscos competitivos. Foram comparados os modelos exponencial, de Weibull e lognormal com o modelo gama generalizada e conclui-se que o modelo de regressão de Weibull foi o mais adequado para ajustar o tempo de sobrevida na presença dos riscos competitivos, conforme resultados dos testes de razões de verossimilhanças / Abstract: The aim of this study is to identify associated factors to time failure survival of breast cancer such as age, stage and extent of the tumor using Cox's proportional hazards and Fine-Gray competing risks models. It is a retrospective cohort study of population-based concerning to 524 women diagnosed with breast cancer in the period 1993-1995, followed until 2011, living in the city of Campinas, São Paulo State, Brazil. The cutoff age variable has been defined using Cox models. In the settings of simple and multiple models of Fine-Gray and Cox age was not significant when the death from breast cancer was the outcome of interest. The survival curves estimated by Kaplan-Meier showed significant differences in the odds comparing the deaths from breast cancer and competing risks. The survival curves for breast cancer showed no significant differences when comparing age groups, according to the logrank test. The Fine-Gray and Cox models identified the same covariates influencing the survival time for both events of interest: deaths from breast cancer and deaths from competing risks. The exponential, Weibull and lognormal regression models were compared with generalized gamma model and it is concluded that the Weibull regression model was the most appropriate to adjust the survival time in the presence of competing risks, according to results of the ratio likelihood tests / Doutorado / Epidemiologia / Doutora em Saúde Coletiva

The purpose and aim of this study is to offer a hitherto lacking perspective on the Sulu Archipelago’s history during the early years of American colonial rule – that of the native Sulu Sultan. Existing research, albeit new, tends to favour a U.S centred view. With concurrences as a theoretical framework and a theoretical understanding of the social and political power dynamics in the Sultanate, this study aims to challenge that perspective by examining the last Sultan of Sulu, Jamalul Kiram II’s agency and room for manoeuvre in relation to the bilateral Kiram-Bates treaty between the Sultanate of Sulu in the southern Philippines and the United States, represented by Colonel John C. Bates. Through a qualitative analysis of letters, official documents and a memoire originating from, or regarding, the time period, this study indicates that the Sultan’s agency and room for manoeuvre in relation to the Kiram-Bates treaty has been overlooked by scholars, and his position somewhat poorly understood. The Sultan did not simply sign the treaty according to American wishes. He negotiated terms, and influenced the outcome of above all the signing, and he at least reacted to and navigated the abrogation of the agreement in a way that has not been sufficiently described before. These findings prompt further research from a concurrences perspective to more thoroughly understand the history, and perhaps even the contemporary state, of the Sulu Archipelago and the Sulu Sultanate.

The diploma thesis deals with elaboration of prospectus about promoting and starting a new fitness center. Prospectus project results from accumulated information, analysis of present state of specialization and arises from finding of market opportunity.