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Brida, J.G.; Disegna, Marta; Scuderi, R. (2013)
Languages: English
Types: Article
Subjects:
Market segmentation comprises a wide range of measurement tools that are useful for the sake of supporting marketing and promotional policies also in the sector of cultural economics. This paper aims to contribute to the literature on segmenting cultural visitors by using the Bagged Clustering method, as an alternative and effective strategy to conduct cluster analysis when binary variables are used. The technique is a combination of hierarchical and partitioning methods and presents several advantages with respect to more standard techniques, such as k-means and LVQ. For this purpose, two ad hoc surveys were conducted between June and September 2011 in the two principal museums of the two provinces of the Trentino-South Tyrol region (Bolzano and Trento), Northern Italy: the South Tyrol Museum of Archaeology in Bolzano (ÖTZI), hosting the permanent exhibition of the "Iceman" Ötzi, and the Museum of Modern and Contemporaneous Art of Trento and Rovereto (MART). The segmentation analysis was conducted separately for the two kinds of museums in order to find similarities and differences in behaviour patterns and characteristics of visitors. The analysis identified three and two cluster segments respectively for the MART and ÖTZI visitors, where two ÖTZI clusters presented similar characteristics to two out of three MART groups. Conclusions highlight marketing and managerial implications for a better direction of the museums. © 2012 Elsevier Ltd. All rights reserved.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Albalate, D., & Bel, G. (2010). Tourism and urban public transport: Holding demand pressure under supply constraints. Tourism Management, 31(3), 425-433.
    • Beane, T. T., & Ennis, D. M. (1987). Market segmentation: A review. European Journal of Marketing, 21(5), 20-42.
    • Bennett, T. (1994). The reluctant museum visitor: A study of non-goers to history museums and art galleries. Sydney: Australia Council.
    • Bigné, J. E., & Andreu, L. (2004). Amotions in Segmentation. An Empirical Study. Annals of Tourism Research, 31(3), 682-696.
    • Bouguila, N. (2010). On multivariate binary data clustering and feature weighting. Computational Statistics and Data Analysis, 54, 120-134.
    • Brida, J. G., Disegna, M., & Osti, L. (2012). Segmenting visitors of cultural events by motivation": A sequential non-linear clustering analysis of Italian Christmas Market visitors. Expert Systems with Application, 39, 11349-11356.
    • Brida, J.G., Pulina, M. and Meleddu, M. (2012). Factors influencing the intention to revisit a cultural attraction: the case of MART of Rovereto. Journal of Cultural Heritage, 13(2), 167-174.
    • Budayan, C., Dikmen, I., & Birgonul, M.T. (2009). Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy C-means method for strategic grouping. Expert System with Application, 36, 11772-11781.
    • Buttrey, S. E., & Karo, C. (2002). Using K-nearest-neighbor classification in the leaves of a tree. Computational Statistics and Data Analysis, 40, 27-37.
    • Chen, J. S., & Hsu, C. H. C. (1999). The use of logit analysis to enhance market segmentation methodology. Journal of Hospitality & Tourism Research, 23(3), 268-283.
    • Choi, A. S. (2011). Implicit prices for longer temporary exhibitions in a heritage site and a test of preference heterogeneity: A segmentation-based approach. Tourism Management, 32, 511-519.
    • Claver-Cortés, E., Molina-Azorín, J. F., & Pereira-Moliner, J. (2007). Competitiveness in mass tourism. Annals of tourism Research, 34(3), 727-745.
    • Cochran, W. G. (1977). Sampling techniques. Wiley series in probability and mathematical statistics (Third Edn.). John Wiley & Sons.
    • Dicks, B. (2003). Culture on display: The production of contemporary visitability. Berkshire: Open University Press.
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