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Copyright of Revista Venezolana de Gerencia (RVG) is the property of Revista de Filosofia-Universidad del Zulia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The images of a tourist destination often depend on information and contents generated by travelers, suppliers, and residents. This article analyzes the weight that different information sources exert in defining the overall information source construct. The authors adopt a multidimensional methodology; unlike prior research, this study considers the combined weight of various web platforms for determining the images of tourist destinations. Thus, in addition to integrating various explanatory models to detail how the images of a tourist destination form, this study adds web platform factors and thereby moves beyond the influences of traditional, offline sources of information. The results of a survey of 541 tourists and residents of Mallorca, according to different descriptive statistics and exploratory and confirmatory factor analysis, indicate that different websites, reflecting both supplier- and user-generated content, exert important influences and combine to form an information source construct. Furthermore, users who publish tourist information online value web platforms that offer user-generated content when they seek information about a tourist destination for themselves. These findings in turn offer several managerial recommendations. [ABSTRACT FROM AUTHOR]

Abstract: Present article illustrates how system engineering procedures and techniques could be applied to marketing and pricing models. In this research it is evaluated, over retail grocery products sales, the promotional and cross-promotional effects based on Support Vector Machines Semiparametric Regression (SVM-SR) technique. More specifically, in this work it is evaluated the interaction effects of combined promotional, for differentiated types of brands. Database was developed using one year scanned sales records from a Spanish hypermarket. Mayor findings were: (i) higher direct sales increment in larger package sizes promoted articles of national premium brands products not incorporating additional or functional ingredients; (ii) relevant cross price effects (both asymmetric and neighbourhood); (iii) higher sales grow on Friday and Saturday; and (iv) enhanced results in combined price discount and advertising feature promotions than any individual promotion. [Copyright &y& Elsevier]

Abstract: This paper is an analysis of the likelihood for repeat visits to a sun and sand destination by tourists. For this purpose, an empirical study was conducted using tourists who had visited the destination. The analysis took into account the travelling group composition. The results showed that, for the total tourist sample, overall satisfaction had the biggest influence on the decision of whether to revisit a destination, while the least important influence was the tourist''s perceived image. These influences varied, however, when different travelling group compositions were considered. The results are of vital importance in tourism management policies, because they can contribute to the better design and development of tourism promotion strategies. [Copyright &y& Elsevier]