Gender and locality-related differences in circulation behavior in a museum setting

İmamoğlu, Çağrı; Yılmazsoy, Aslı Canan

doi:10.1080/09647770902857539

Cited by 11 publications

(5 citation statements)

References 37 publications

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“…Regarding visitor-related parameters, previous research findings indicate that attention distribution schemes differ according to age, gender, and locality (e.g., Imamoğlu & Yılmazsoy, 2009;Koran, Morrison, Lehman, Koran, & Gandara, 1984). Although these parameters should be carefully considered while designing exhibitions, they can hardly be modified.…”

mentioning

confidence: 99%

Visitor Attention in Exhibitions: The Impact of Exhibit Objects’ Ordinal Position, Relative Size, and Proximity to Larger Objects

Zıraman

İmamoğlu

2018

Environment and Behavior

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The main aim of the present study was to explore the impact of three stimulus-related variables-that is, ordinal position of viewing, relative size of exhibit objects, and proximity to larger sized objects-on visitor attention and interest in exhibitions. A field experiment that utilized timing and tracking through unobtrusive observation, as well as a questionnaire, was conducted with 120 participants in one control and three experimental conditions. The results suggest that (a) visitor attention declines across ordinal position, being interrupted in the experimental conditions by the presence of a larger object; (b) larger exhibit objects attract and hold more attention than smaller ones, especially those adjacent to (and appear before rather than after) the larger object; and (c) while larger objects attract more attention on an individual comparison, they seem to have a suppressing effect on the overall level of attention to the exhibition compared with the control condition.

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mentioning

confidence: 99%

Visitor Attention in Exhibitions: The Impact of Exhibit Objects’ Ordinal Position, Relative Size, and Proximity to Larger Objects

Zıraman

İmamoğlu

2018

Environment and Behavior

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“…Additionally, other studies -specifically on museums -have also proved the influence of these variables on other visitors' perceptual variables (e.g. satisfaction, quality) related to museums' image (Daenekindt and Roose, 2014;Hooper-Greenhill, 2000;Imamog lu and Yılmazsoy, 2009;Kinghorn and Willis, 2008;Lehn, 2006;Rowley, 1999).…”

Section: Socio-demographic Geographic and Tripographic Factors Influencing The Formation Of Museums' Imagementioning

confidence: 92%

Research based guidelines for effective visitation management of museums’ image

Gil

Ritchie

2017

Int J Culture Tourism Hosp Res

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Purpose -This paper aims to better understand museums' image. The study examined the influence of visitors ' socio-demographic (gender, social class), tripographic (party group, previous experience with the museum and timing of the decision to visit the museum) and geographic characteristics (national -international visitors), on the different components and dimensions of perceived museums' image (cognitive and affective) in a major tourism destination. Design/methodology/approach -This research focussed on museums located on Gran Canaria (Canary Islands, Spain). The population of the study included museum attendees who visited the main museums of the island (13 museums). The selection of respondents ( 252) was made following a systematic random sampling at the exit gate of the museums. Findings -The repeat visitors and those who plan the visit in advance were found to have a more positive museums' image for both the cognitive and the affective components of museum image. There was also a positive influence of party group on the cognitive and affective dimensions of image, whereas families showed a less positive image. In addition, there were significant relationships between the visitors' socio-demographic characteristics of gender, and social class, and the affective and cognitive components of image -women and higher classes achieving a better image. National visitors also showed a more positive image on both the cognitive and affective components of museum image. Six image dimensions were found and specific effects on each are discussed. Originality/value -This study adds to the growing literature on museums for a better understanding of the perceived image of this cultural product (museums) at the destination, and how it can be managed according to the profile of their publics. Additionally, it considers the different dimensions of museums' image: quality of visitation experience, convenience and functionality, price, general appearance, museum shop and affective image.

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“…Overall, the data collection and enrichment procedure resulted in a dataset of 14,250 online reviews of museums automatically collected from TripAdvisor and for which the language has automatically been recognised to be Italian. This specific language has been selected not only because it was the most represented (30% of reviews) in the original dataset, but also to focus the research on local visitors of museums because the literature recognises the differences in the preferences of tourists because of their cultural background [11,43,44].…”

Section: Data Collectionmentioning

confidence: 99%

The Contribution of Online Reviews for Quality Evaluation of Cultural Tourism Offers: The Experience of Italian Museums

et al. 2021

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In the cultural tourism field, there has been an increasing interest in adopting data-driven approaches that are aimed at measuring the service quality dimensions through online reviews. To date, studies measuring quality dimensions in cultural tourism settings through content analysis of online user-generated reviews are mainly based on manual approaches. When the content analysis is automated, these studies do not compare different analytical approaches. Our paper enters this field by comparing two different automated content analysis approaches to evaluate which of the two is more adequate for assessing the quality dimensions through user-generated reviews in an empirical setting of 100 Italian museums. Specifically, we compare a ‘top-down’ content analysis approach that is based on a supervised classification built on policy makers’ guidelines and a ‘bottom-up’ approach that is based on an unsupervised topic model of the online words of reviewers. The resulting museum quality dimensions are compared, showing that the ‘bottom-up’ approach reveals additional quality dimensions compared with those obtained through the ‘top-down’ approach. The misalignment of the results of the ‘top-down’ and ‘bottom-up’ approaches to quality evaluation for museums enhances the critical discussion on the contribution that data analytics can offer to support decision making in cultural tourism.

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Gender and locality-related differences in circulation behavior in a museum setting

Cited by 11 publications

References 37 publications

Visitor Attention in Exhibitions: The Impact of Exhibit Objects’ Ordinal Position, Relative Size, and Proximity to Larger Objects

Visitor Attention in Exhibitions: The Impact of Exhibit Objects’ Ordinal Position, Relative Size, and Proximity to Larger Objects

Research based guidelines for effective visitation management of museums’ image

The Contribution of Online Reviews for Quality Evaluation of Cultural Tourism Offers: The Experience of Italian Museums

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