%0 Journal Article %T IDENTIFICA O DE CLUSTERS INTERNACIONAIS COM BASE NAS DIMENS ES CULTURAIS DE HOFSTEDE. / Identification of international clusters based on the hofstede¡¯s cultural dimensions %A Valder¨ª de Castro Alcantara1 %A Paolla Carla dos Reis %A Raquel Santos Soares Menezes %J Revista de Administra£¿£¿o da UFSM %D 2012 %I Universidade Federal de Santa Maria %X Haja vista que a cultura de um pa¨ªs influencia a cultura organizacional das empresas nele presente e ainda ¨¦ fator determinante no processo de internacionaliza o, torna-se relevante compreender e mensurar as caracter¨ªsticas culturais de cada pa¨ªs. Os estudos de Hofstede (1984) apresentam uma metodologia ¨²til para compara o entre culturas. Tal metodologia leva em considera o as caracter¨ªsticas deuma cultura que possibilita diferenciar um pa¨ªs de outro. Dessa forma, ¨¦ poss¨ªvel observar que determinados pa¨ªses compartilham certos tra os culturais e, assim, ¨¦ poss¨ªvel agrup¨¢-los segundo crit¨¦rios pr¨¦-estabelecidos. O presente trabalho objetiva utilizar-se de procedimentos estat¨ªsticos multivariados Clusters Analyses, K-Means Cluster Analysis e An¨¢lise Discriminante para determinar e validar agrupamentos de pa¨ªses, com base nas dimens es culturais de Hofstede (Distance Index, Individualism, Masculinity e Uncertainty Avoidance Index). Os resultados determinaram quatro clusters: Cluster 1 - pa¨ªses com cultura masculina e individualista; Cluster 2 - cultura coletivista e aversa ¨¤ incerteza; Cluster 3 - cultura feminina e com baixa distancia hier¨¢rquica; e Cluster 4 - cultura com elevada distancia hier¨¢rquica e propens o ¨¤ incerteza./ Considering that the culture of a country influences the organizational culture of this company and it is still a determining factor in the internationalization process becomes important to understand and measure the cultural characteristics of each country. The studies of Hofstede (1984) present a useful methodology for comparing cultures, this methodology takes into account the characteristics of a culturethat allows to differentiate one from another country. Thus one can observe that certain countries share certain cultural traits and so it is possible grouping them according to predetermined criteria. The present work aims to utilize multivariate statistical procedures Cluster Analyses, K-Means Cluster Analysis and Discriminant Analysis to determine and validate groupings of countries based on Hofstede¡¯s cultural dimensions (Distance Index, Individualism, Masculinity and Uncertainty Avoidance Index). The results led to four clusters: Cluster 1 - countries with masculine culture and individualistic; Cluster 2 - collectivistic and uncertainty averse; Cluster 3 - feminine culture and low hierarchical distance and Cluster 4 - culturewith high hierarchical distance and propensity to uncertainty. %K Cultura %K Hofstede %K Clusters Analyses/Culture %K Hofstede %K Clusters Analyses %U http://cascavel.ufsm.br/revistas/ojs-2.2.2/index.php/reaufsm/article/view/2451/pdf