1,721,006 research outputs found
Visitors to two types of museums: Do expenditure patterns differ?
Full text linkThe authors study the determinants of the expenditure behaviour of visitors to two types of museums. Ad hoc surveys were conducted between June and September 2011 of visitors to the South Tyrol Museum of Archaeology and the Museum of Modern and Contemporaneous Art of Trento and Rovereto (MART). These are the two principal museums in the Italian provinces of Bolzano and Trento. The double-hurdle model is used via the Heien and Wessels two-step estimator. This procedure splits the process of spending decision into the stages of 'selection' and 'outcome', and also results in consistent estimates. The findings highlight two distinct profiles. The spending of visitors to the modern art museum is positively related to its cultural interest, whereas the expenditure profile of the archaeological museum visitors is more 'generalist'
The behaviour of repeat visitors to museums: Review and empirical findings
Full text linkThis study presents a theoretical and operational framework for analysing repeat visit to museums. Starting from the literature on repeat visit in tourism, the specificities of these cultural attractions are made explicit through a review of theoretical and applied works. Consistently with previous contributors, the paper suggests that the analysis of actual past behaviours has to be preferred to the one of attitudes. The application of proper econometric models is also remarked in order to put into account individual profiles. Information coming from three techniques is then used in an integrated way in order to provide a more comprehensive view of the phenomenon. Evidence from an ad hoc survey suggests the necessity to give a greater attention to perceived cultural value during the visit, promoting cultural events during the week and addressed to children, and taking care of those visitors that come from far places also through an integrated tourist supply. © 2013 Springer Science+Business Media Dordrecht
Segmenting visitors of cultural events: The case of Christmas Market
Full text linkMarket segmentation in tourism makes use of sets of powerful analytical tools for the sake of planning and managing demand-oriented policies. This paper contributes to this strand of literature by segmenting tourists visiting a cultural event. We utilize the Bagged Clustering method, a combination of traditional partitioning and hierarchical techniques, which is proven to be more effective. An ad hoc survey was conducted in 2011 among the Italian visitors of the Christmas Market in Merano, Northern Italy. A total of 802 questionnaires were collected. In discussing the results, marketing and managerial implications are stressed for both policymakers and local organizers. © 2014 Elsevier Ltd. All rights reserved
Immigrants, voter sentiment, and local public goods: The case of museums
No full textWe present a model where museum commitment to immigrant integration is conditioned by the possible negative reactions of native visitors and patrons. We then exploit the rich information provided by the 2015 Italian museum census to investigate the factors associated with a higher probability of museums developing promotion programmes targeting an immigrant audience, with a special focus on the size of immigrant communities and the importance of anti-immigrant sentiment in the local context. We proxy the latter with the municipal vote shares of parties with an anti-immigrant agenda in the 2013 national elections. Our evidence shows that the vote share of Lega Nord has a significantly negative and sizable estimated coefficient. Conversely, we find no positive association with the overall share of immigrants—only the size of specific minorities at the local level increases the likelihood that a museum engages immigrants. We control for a number of context variables and specific museum characteristics, some of which (age of establishment, type of collection) show a positive association with museum commitment to immigrant integration
Segmenting visitors of cultural event: the case of the Christmas Market visitors in Merano, Northern Italy
No full textVisitors of two types of museums: A segmentation study
Full text linkMarket 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
Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay
No full textThis paper introduces the use of graphical models for assessing the determinants of individual tourist spending. These models have the advantage of synthesizing and visualizing the relationships occurring within large sets of random variables, through an easy to interpret output. To this end, individual data from a large official survey of international tourists in Uruguay are used. Symmetric conditional independence structures are first investigated. Then subgraphs of each expenditure item's neighbourhood are extracted in order to assess the impact of main effects and interactions through proportional ordinal logistic regression. Results highlight the marginal role of socio-demographic variables and direct importance of accommodation type, destination and length of stay
Scad-elastic net and the estimation of individual tourism expenditure determinants
No full textThis paper introduces the use of scad-elastic net in the assessment of the determinants of individual tourist spending. This technique approaches two main estimation-related issues of primary importance. So far studies of tourism literature have made a wide use of classic regressions, whose results might be affected by multicollinearity. In addition, because of the absence of robust economic theory on tourism behavior, regressor selection is often left to researcher's choice when not driven by non-optimal automatic criteria. Scad-elastic net is an OLS model that accounts for both these problems by including two types of parameters constraints, namely the smoothly clipped absolute deviation (scad) and the l2-norm. We analyze an official dataset of incoming tourists to Uruguay. Socio-demographic, psychographic and trip-related variables are used as explanatory of per capita per day tourist expenditure. Significant impact on tourism expenditure of some accommodation facilities such as expensive one and second dwellings, personal experiences rather than the number of past visits, doing certain activities, place of stay, and seasonality are the main conclusions that are drawn from the analysis. © 2014 Elsevier B.V. All rights reserved
The visitors’ authenticity perception at the museums: archeology versus modern art museums
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