Precise design of environmental data warehouses

People use data warehouses to help them make decisions. For example, public policy decision-makers can improve their decisions by using this technology to analyze the environmental effects of human activity. In production systems, data warehouses provide structures for extracting the knowledge required to optimize systems. Designing data warehouses is a complex task; designers need flexible and precise methods to help them create data warehouses and adapt their analysis criteria to developments in the decision-making process. In this paper, we introduce a flexible method based on UML (Unified Modeling Language). We introduce a UML profile for building multi-dimensional models and for choosing different criteria according to analysis requirements. This profile makes it possible to specify integrity constraints in OCL (Object Constraint Language). We apply our method to the construction of an environmental system for analyzing the use of certain agricultural fertilizers. We integrate various data sources into a multi-dimensional model showing several categories of analysis, and the consistency of data can be checked with OCL constraints

Organizational innovativeness: Exploring the relationship between organizational determinants of innovation, types of innovations, and measures of organizational performance

This research study examines the relationships between innovativeness of firms, their organizational characteristics, and organizational performance. Previous studies that have examined these relationships have yielded conflicting results. A fundamental assumption of this research is that these conflicting results may be due to a narrow definition of the construct of innovativeness. This research demonstrates that by using a multidimensional measure of innovativeness, the reasons for the conflicting findings of past research becomes evident. The results of this study show that substantive relationships do exist between organizational factors, organizational innovativeness, and organizational performance. These relationships, however, are complex, and can only be detected if innovativeness is measured as a multidimensional construct. Each of the organizational factors examined in this study showed significantly different effects on each dimension of two types of organizational innovativeness -- technical and administrative innovativeness. Further, the results show that innovativeness does improve organizational performance. However, each dimension of the two types of innovativeness affects different aspects of organizational performance.innovation management management of innovation organizational studies measurement methodology