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The impact of organizational learning capabilities on the promotion of knowledge capital Applied research at Wasit University
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Abstract

      The current research aims at identifying any of the dimensions of organizational learning abilities that are more influential in the knowledge capital of the university and the extent to which they can be applied effectively at Wasit University. The current research dealt with organizational learning abilities as an explanatory variable in four dimensions (Experimentation and openness, sharing and transfer of knowledge, dialogue, interaction with the external environment ), and knowledge capital as a transient variable, with four dimensions (human capital, structural capital, client capital, operational capital). The problem of research is the following question: And then The data were collected by means of sources and references in addition to the questionnaire, which is considered as a basic tool for data collection, and was distributed to the sample of (63) respondents, which targeted the heads of the departments of Wasit University in Wasit, starting from the number of Of the hypotheses the most important: (There is a significant effect of the total variables of leadership empowerment in knowledge capital), after which the data was analyzed through a number of statistical programs ready (SPSS,ver19) and reached the results of the research ... To a set of conclusions was the most important: Effect of significant statistical significance of the total variables (The participation and transfer of knowledge and interaction with the external environment), and their role in the promotion of capital knowledge, and overcome the obstacles that stand in front of the implementation of the dimension (experimentation and openness, dialogue) in the university .

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Publication Date
Sun Dec 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
Use Generalized Pareto Survival Models to Estimation Optimal Survival Time for Myocardial Infarction Patients
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The survival analysis is one of the modern methods of analysis that is based on the fact that the dependent variable represents time until the event concerned in the study. There are many survival models that deal with the impact of explanatory factors on the likelihood of survival, including the models proposed by the world, David Cox, one of the most important and common models of survival, where it consists of two functions, one of which is a parametric function that does not depend on the survival time and the other a nonparametric function that depends on times of survival, which the Cox model is defined as a semi parametric model, The set of parametric models that depend on the time-to-event distribution parameters such as

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