Purpose The purpose of this paper is to identify patterns of project risk management (PRM) practices’ adoption, and provides empirical evidence concerning the importance (and key attributes) of organizational PRM maturity to the use of risk-related practices and project performance. Design/methodology/approach The research involved two phases: interviews with five project managers, and a worldwide survey of project managers that resulted in the analysis of 865 valid questionnaire responses. Cluster analysis was used to classify PRM practices’ use, factor analysis to detect the structure of the relationship between the variables measuring PRM practices’ use and a multiple regression analysis (with canonical correlation) to further reveal the different degrees to which PRM practices and organizational maturity are associated. Findings The identified patterns of risk practices’ adoption indicate that different contexts of organization PRM maturity and project complexity influence practices selection. The PRM practices related with targets (e.g. time-phased budget plan) are the most used, and those related to tools and techniques (e.g. S-curve) are the least used. Additionally, the obtained results confirm that organizational PRM maturity influences risk practices’ usage, moderated by project complexity, and organizational PRM maturity influences project performance. Originality/value Empirical methods were used to investigate the relationship between organizational PRM maturity and a large set of PRM practices with project complexity as a moderator. Gaps in the use of PRM practices (i.e. areas where more PRM knowledge and training are needed) were identified. Finally, this work identifies the attributes of organizational maturity with implications in practices’ usage and project performance.
Visou-se identificar o perfil psicomotor de crianças de baixo nível socioeconômico e verificar o efeito nelas de um programa de intervenção psicomotora. Participaram do estudo seis crianças do sexo masculino, na faixa de 10 a 12 anos (11,5±0,92). Os participantes foram avaliados utilizando-se uma bateria psicomotora que avalia sete fatores psicomotores: tonicidade, equilibração, lateralização, noção do corpo, estruturação espaço-temporal, praxia global e fina; de acordo com o desempenho da criança, os fatores são pontuados de 1 a 4; o escore 1 refere-se ao perfil apráxico, 2 ao dispráxico, 3 ao eupráxico e 4 ao hiperpráxico. Com base nas dificuldades detectadas foi elaborado um programa de intervenção psicomotora, aplicado durante três meses, em 16 sessões de uma hora de duração, duas vezes por semana. Ao término da intervenção os participantes foram reavaliados. Pela avaliação inicial, o perfil dos participantes foi predominantemente eupráxico nos fatores equilibração, lateralização, noção do corpo, praxia global e praxia fina; nos fatores tonicidade e estruturação espaço-temporal o perfil foi predominantemente dispráxico. Após o programa de intervenção houve aumento estatisticamente significativo (p<0.05) na pontuação nos fatores tonicidade, equilibração, estruturação espaço-temporal, praxia global e praxia fina, sugerindo que o programa de intervenção psicomotora aplicado beneficiou o desempenho psicomotor de crianças de baixo nível socioeconômico.
Information technologies are increasingly incorporated into organizational functions. Also in the health sector, the incorporation of new medical technologies brings new challenges for IT managers to gather more and more information about patients. Thus, the aim of this paper is to assess the degree of maturity which healthcare institutions are and have with information technology, ie, how institutions use information systems, if computerized, and how they apply this system in the information management. Through closed questionnaire, 16 healthcare institutions in the north and northeast of the state of Santa Catarina were surveyed. Results show that there is a concern when using information strategically to decision making, even though the development does not follow a curvilinear shape ascending and Information Systems do not include features for analyzing complex data
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