organizational culture has a significant influence on the success of organizations. culture determines the kinds of responses that the organization makes to required changes and will make to new problems. it can help predict how well the organization will deal with change. one of these changes is a knowledge management project. knowledge is viewed as a driver in the definition and development o...

As noted by Boan and Funderburk (2003), people in healthcare organizations work, relate, and interact in ways that are guided by the norms of their organization, their professions, and the healthcare industry as a whole. Organizational culture is often called upon as a descriptive, organizing and/or explanatory construct to characterize the shared beliefs, perceptions, expectations, norms and a...

abstract in present study, it has been studied to oprimize culture pattern in water consumption reduction and increase in income by use of collected data from kazeroon agriculture organization and forign commercial statistical annals and use of linear planning model due to simplicity and lts application, and to apply in water resources management. the purpose of this study had been to edit one ...

the study aimed at presenting an appropriate framework for designing & implementing knowledge management projects within research & knowledge-based organizations while focusing on the knowledge culture. first, the available literature was reviewed & the influential indices & factors regarding the knowledge culture were extracted. then, a conceptual model for evaluating the knowledge culture was...

It has been nearly a century since the Australasian Antarctic Expedition (hereafter, AAE) under the leadership of Sir Douglas Mawson first set foot on the Antarctic continent. The party arrived at what would become the base station of Cape Denison (67°S, 142.7°E; see Fig. 1) in January 1912. For the next two years, party members maintained a record of weather observations, the first extensive m...

A common problem in statistics, and other disciplines , is to approximate adequately a function of several variables. In this paper we review some possible nonparametric Bayesian models with which we can perform this multiple regression problem. We shall also demonstrate how these basic models can be extended to allow the analysis of time series , both conventional and nancial, survival analysi...