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In this paper we
describe an analytical model to determine the innovation capability of a small
and medium enterprise (SME) as the first step towards the continuous
improvement of performance in such a dimension of an organization. The model
first assesses organizational variables and classifies companies by using the
Flowsort? multicriteria method. As second step, the classification module
categorizes SMEs into four classes of companies: passive, reactive, proactive,
proactive. From this sorting and the subsequent analysis of the variables
measured by the survey, it is determined the set of best management practices
for innovation that the company needs to implement in order to increase their
level of performance. The application of the model to nine companies in Chile
is shown along with numerical results. Evaluations show that the classification
is consistent with expert judgment and that effectively identifies those areas
that contribute most to the increase of the innovation capability in the SMEs.
Data warehouses (DW) must integrate information from
the different areas and sources of an organization in order to extract knowledge relevant to decision-making.
The DW development is not an easy task, which is why various design approaches
have been put forward. These approaches can be classified in three different paradigms according to the origin of the information
requirements: supply-driven, demand-driven, and hybrids of these. This article compares the methodologies for
the multidimensional design of DW through a systematic mapping as
research methodology. The study is presented for each paradigm, the main characteristics of the
methodologies, their notations and problem areas exhibited in each one of them.
The results indicate that there is no
follow-up to the complete process of implementing a DW in either an academic or
industrial environment; however, there is also no evidence that the attempt is
made to address the design and development of a DW by applying and comparing
different methodologies existing in the field.