Marta Disegna

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The purpose of this paper is to explore residents’ perceptions of tourism impacts and how they affect attitudes towards local tourism policies. Particular attention is paid to the analysis of community attachment and employment sector of residents. This study presents the results of a quantitative survey among residing families of a small mountain community(More)
Aim of the paper is to propose a segmentation technique based on the Bagged Clustering (BC) method. In the partitioning step of the BC method, B bootstrap samples with replacement are generated by drawing from the original sample. The Fuzzy C–Medoids Clustering (FCMdC) method is run on each bootstrap sample, obtaining (B×C) medoids and the membership(More)
Considering the importance of market segmentation as a marketing tool to determine promotional policies, this paper aims, through an empirical application, to determine the optimal way to choose both the best cluster algorithm and the best cluster partition. For this purpose, an empirical study was conducted interviewing tourists who visited three different(More)
http://dx.doi.org/10.1016/j.eswa.2014.01.019 0957-4174/ 2014 Elsevier Ltd. All rights reserved. ⇑ Corresponding author. Address: School of Economics and Management, Free University of Bolzano, Piazzetta dell’Università, 39031 Brunico (BZ), Italy. Tel.: +39 0471 013293; fax: +39 0471 013009. E-mail addresses: JuanGabriel.Brida@unibz.it (J.G. Brida),(More)
Segmentation has several strategic and tactical implications in marketing products and services. Despite hard clustering methods having several weaknesses, they remain widely applied in marketing studies. Alternative segmentation methods such as fuzzy methods are rarely used to understand consumer behaviour. In this study, we propose a strategy of analysis,(More)
This paper examines the determinants of visitors’ expenditure behaviour at cultural events. The authors analyse visitors’ expenditure at the micro-level, dividing it into expenditure on accommodation and expenditure on food and beverages. The explicative variables taken into account are socio-demographic, economic, psychological and trip–related attributes.(More)
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