While methods of detecting outliers is frequently implemented by statisticians when analyzing univariate data, identifying outliers in multivariate data pose challenges that univariate data do not. In this paper, after short reviewing some tools for univariate outliers detection, the Mahalanobis distance, as a famous multivariate statistical distances, and its ability to detect multivariate outliers are discussed. As an application the univariate and multivariate outliers of a real data set has been detected using R software environment for statistical computing.

Purpose of the present study is to recognize how internal marketing affects organizational commitment. In this research we have used a questionnaire with thirty questions in order to study a one hundred sample of hotel managers and administrators in Isfahan province. In this regard, a model has been designed to show the effect of internal marketing on organizational commitment based on research literature which is tested by means of LISREL software. According to the obtained results of the questionnaire's data analysis, it has been determined that internal marketing affects organizational commitment directly and indirectly through market orientation. It means that factors of internal marketing influence market orientation directly and then market orientation affects organizational commitment. Effects of these factors are significant on organizational commitment directly. Amount of goodness indexes (AGFI= 0.96, GFI= 0.99) shows suitability of the model.

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Internationalisation begins with companies’ decision to enter global markets to develop knowledge and experience as key competitive factors in the global economy, which has been the subject of much empirical research. Decision-making, knowledge management, and effective internationalisation have become key strategic tools for all companies, especially for small- and medium-sized enterprises (SMEs). This study wants to provide a framework for SMEs internationalisation based on the real options theory, (ROT) as a knowledge driver method. For this purpose, the effective factors for internationalisation were identified by reviewing the literature on the subject and the internal and external backgrounds of the subject. Then, main and sub-factors were prioritised by the fuzzy analytic hierarchy process (AHP) method. The statistical population consisted of senior managers, business managers of SMEs in Isfahan, Iran, who were eligible to enter this study. Twenty-six experts participated in this study by judgmental non-random sampling method. A fuzzy AHP questionnaire was prepared in the form of 19 sub-factors and 7 main factors. The components of each factor in each group were also ranked by experts, and their weights were obtained. Next, according to the ROT strategies which have 5 options, an alignment matrix was used to align the factors affecting the decision with the strategies. After answering the research question, the option that had a higher mode was considered AS; then, this score was multiplied by the weight obtained in the previous step and the TAS was obtained. Finally, strategies were classified as appropriate, need further investigation, and inappropriate.