Logistics Practices in Small and Medium Enterprises (SME): Risk Context Survey for Hurricanes

Logistics Practices in Small and Medium Enterprises (SME): Risk Context Survey for Hurricanes

Jesus Escalante (Universitat Politècnica de Catalunya, Spain), Ileana Monsreal (Universidad Autónoma de Yucatán, Mexico) and Josep Casanovas (Universitat Politècnica de Catalunya, Spain)
DOI: 10.4018/978-1-5225-0130-5.ch005
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Abstract

The present study explored the logistics practices of the managers of Small and Medium Enterprises facing associated risks and hydro-meteorological phenomena. The aim was to study the similarities and relationships between different groups of variables. The methodology, analysis and conclusions are described based on the ERRS-2014 survey, which measures the perception of the environment, capacity to react, prospective and collaboration. Finally, the results obtained show significant views perspectives to diversify diagnostic tools, which are useful to evaluate, to plan and to assess scenarios as well as their impacts on resource management in the context of risks due to hydro-meteorological phenomena (i.e. hurricanes) in metropolitan areas.
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Literature Review Of Mfa Practices Implementation

Multiple factor analysis (MFA) is a generalization of principal component analysis (PCA). Its goal is to analyze several data sets of variables collected on the same sets of variables collected on the same set of observations, or several sets of observations measured on the same set of variables. As such, FMA is part of the multitable PCA family which comprises related techniques correspondence analysis (Abdi & Valentin, 2007).

MFA deals with a multiple table, composed of sets of either quantitative or categorical variables balancing the influence of the different sets of the first principal axis by dividing the weight of their variables/columns by the first eigenvalue of the separate analysis of this set.

Thus, the highest axial inertia of each group is standardized to 1. MFA offers the usual results in any PCA and also tools for comparing the different sets such as the superimposed representation of the rows as induced separately by every set of columns. Initially multiple factor analysis for contingency tables was proposed to simultaneously analyze several frequency/contingency tables. Afterward, it has been extended to multiple tables with a mixture of quantitative, categorical and frequency sets.

Then refer FMA applications, note that most are focused on social issues, but there are still few studies related to business. This research aims to extend the application of FMA associated with the risk versus practices logistical of managers on metropolitan zone.

The insurability of risk: a quantitative approach applied to motor insurance, focus on study of 32 consumer durable goods and some countries between 1977 and 2008. Countries are divided into five categories based on gross domestic product per capita purchasing power parity. The techniques implemented reduces the dimensionality of the data, specifically, the relative position of each country regarding the consumer durable goods indicators, while keeping most of the information.

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