The literature pays little attention to non-linear models, especially regarding dimensions such as organizational culture. Therefore, the purpose of this paper is to test the role of hierarchical distance in the relationship ...

Increasingly, the deployment of e-government initiatives in the Public Administration arena has become mandatory. However, the adoption of this new paradigm needs to be followed up with training processes involving all the ...

We provide a framework for hierarchical specification called Hierarchical Decision Process Petri Nets (HDPPNs). It is an extension of Decision Process Petri Nets (DPPNs) including a hierarchical decomposition process that ...

We consider the problem of combining inference in related nonparametric Bayes models. Analogous to parametric hierarchical models, the hierarchical extension formalizes borrowing strength across the related submodels. In ...

The SWOT matrix is the quintessential analysis tool for business purposes, and is taught both in undergraduate and postgraduate courses. However, it is widely understood that the selection of the critical success factors ...

The literature pays little attention to non-linear models, especially regarding dimensions such as organizational culture. Therefore, the purpose of this paper is to test the role of hierarchical distance in the relationship ...

The public content increasingly available on the Internet, especially in online forums, enables researchers to study society in new ways. However, qualitative analysis of online forums is very time consuming and most ...

Risk in the agricultural sector has multiple dimensions or factors and prioritization of these can support decision making. On the other hand, knowing the importance of these risk factors for distinct agricultural activities ...

Assessing homogeneity of distributions is an old problem that has received considerable attention, especially in the nonparametric Bayesian literature. To this effect, we propose the semi-hierarchical Dirichlet process, a ...