The purpose of this paper is to evaluate tourist destinations’ image based on the attributes obtained from the extant literature using correspondence analysis.
This study is aimed at measuring and illustrating destination image of tourism destinations perceived by domestic tourists. Five tourism destinations – Ooty, Shimla, Manali, Mussoorie and Mount Abu were selected as the subject of the study. Based on a representative sample of 800 respondents from the surveys across destinations, correspondence analysis was employed to illustrate an attribute based comparative analysis of the destination image of the tourist destinations.
Findings reveal that the attribute natural attraction was positively perceived by respondents across all destinations and the attribute infrastructure emerged as an area in need of dire attention. Further, the most dominant attributes which marked destinations’ positioning were – local cuisine and food outlets, hotels and restaurants, famous handicraft and parking facilities.
The findings of this study need to be integrated with qualitative studies to explore the underlying reasons for the perceived destination image.
These results provide direction to policy makers and practitioners to visualize their destinations’ competitive standing relative to their competitors’ strengths and weaknesses. This tourist-derived intelligence presents an opportunity to take advantage of its current position, or if necessary, optimally reposition itself.
This paper documents research that was the first to systematically capture and comparatively illustrate the destination image of Indian tourist destinations.
The authors would like to thank the anonymous reviewers for their valuable comments and suggestions, which were helpful in improving the paper.
Kaur, A., Chauhan, A. and Medury, Y. (2016), "Destination image of Indian tourism destinations: An evaluation using correspondence analysis", Asia Pacific Journal of Marketing and Logistics, Vol. 28 No. 3, pp. 499-524. https://doi.org/10.1108/APJML-05-2015-0074Download as .RIS
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