Validly Measuring Destination Image in Survey Studies

Dolničar, Sara; Grün, Bettina

doi:10.1177/0047287512457267

Cited by 134 publications

(90 citation statements)

References 19 publications

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“…Six-point Likert scale (1 denoted fully disagree and 6 denoted fully agree) was used in the questionnaire [100] as earlier research indicated that bipolar 7-point answer scales "took respondents the longest time to complete" ( [101], p. 10; [102]). The first three hypotheses examine the variables of economic (items 1-6), environmental (items 7-12) and socio-cultural (items [13][14][15][16][17][18][19][20] impacts associated with the variables of attitude (items [21][22].…”

Section: Research Design and Data Collectionmentioning

confidence: 99%

Local Perception of Impact-Attitudes-Actions towards Tourism Development in the Urlaubsregion Murtal in Austria

2018

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Local residents are always the recipients of economic, environmental and socio-cultural impacts from tourism development. Residents' perceived impacts, attitudes towards tourism and the resultant supportive or opposing actions collectively affect the success of tourism, but are not thoroughly understood especially in small regions with rapid growth. The study investigated how the tourism impacts receive local perception, determine local attitudes and in turn lead to active or passive supportive action. The predisposition of linkage between attitude and behaviour is explored with the underlying aspects of impacts. Through the establishment of hypotheses of the relationship and an empirical survey-based study in Urlaubsregion Murtal (URM) in Austria, findings from local populations suggest that local attitude is significantly influenced by tourism impacts. In particular, socio-cultural impacts influenced attitude to a greater extent than the economic and environmental dimensions. The overall prevalent residents' attitude in the URM is highly positive as the respondents indicated a sense of openness towards tourism development and the vast majority agreed that the advantages outweigh the disadvantages. A significant positive relationship between attitude and support is detected. However, the residents also intended to act more passively than actively to supporting tourism development, but the connection from attitude to specific active or passive actions is not apparent.

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Section: Research Design and Data Collectionmentioning

confidence: 99%

Local Perception of Impact-Attitudes-Actions towards Tourism Development in the Urlaubsregion Murtal in Austria

2018

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“…The k-means algorithm is prevalent in many of the studies utilizing cluster analysis but its limitations are rarely acknowledged. The use of a structured list of destination attributes for measurement purposes is also heavily criticized [18,50]. Stepchenkova and Mills [45] highlight the need for newer methods to understand destination image.…”

Section: Image Segmentationmentioning

confidence: 99%

“…Chinese tourists are attracted by the perceived "cleanliness" of Europe compared to China and the region's perceived pristine environment can be effectively used for destination advertising and promotion in China. Overall these attributes contribute to a positive destination image that may influence destination preference, tourists' intention to visit, and recommendation behaviour [18].…”

Section: Managerial Implicationsmentioning

confidence: 99%

“…In tourism research, information regarding attitudes, emotions, satisfaction, and other aspects that involve personal judgement is commonly captured through qualitative expressions, such as Likert scales. However, this approach has been criticized [18,19]. Using a Likert scale the researcher tries to capture a human feeling, by definition uncertain, vague, and subjective, through a linguistic expression.…”

Section: Introductionmentioning

confidence: 99%

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Bagged fuzzy clustering for fuzzy data: An application to a tourism market

D’Urso

Disegna

Massari

et al. 2015

Knowledge-Based Systems

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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, by combining the Bagged Clustering (BC) method and the fuzzy C-means clustering method for fuzzy data (FCM-FD), i.e., the Bagged fuzzy C-means clustering method for fuzzy data (BFCM-FD). The method inherits the advantages of stability and reproducibility from BC and the flexibility from FCM-FD. The method is applied on a sample of 328 Chinese consumers revealing the existence of four segments (Admirers, Enthusiasts, Moderates, and Apathetics) of the perceived images of Western Europe as a tourist destination. The results highlight the heterogeneity in Chinese consumers' place preferences and implications for place marketing are offered.

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“…Destination branding has received considerable interest from researchers since the early 1970s (Hunt, 1971;Mayo, 1973;Gallarza et al, 2002;Pike, 2002;Martín and Rodríguez del Bosque, 2008;Dolnicar and Grün, 2013;Stepchenkova and Li, 2014).…”

Section: Introductionmentioning

confidence: 99%