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      Destination Evaluation: The Role of Previous Travel Experience and Trip Characteristics

      1 , 2 , 3
      Journal of Travel Research
      SAGE Publications

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          Abstract

          This study uses canonical correlation analysis to examine the relationship between two sets of variables that can be used in evaluating a travel destination. The first set is composed of five variables that are referred to as previous travel experience and trip characteristics. These five variables include two measures of previous travel experience (number of countries visited, number of countries visited for pleasure) and three trip characteristics (length of stay, number of people in the travel party, and travel mode). The second set of variables consists of four criterion variables referred to as destination evaluation variables. These variables (satisfaction, service quality, value, and likelihood to return) are used to evaluate the travel destination. Results of the study indicated that a portion of the variance in destination evaluation can be attributed to previous travel experience and trip characteristics.

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                Author and article information

                Journal
                Journal of Travel Research
                Journal of Travel Research
                SAGE Publications
                0047-2875
                1552-6763
                February 2007
                August 19 2016
                February 2007
                : 45
                : 3
                : 333-344
                Affiliations
                [1 ]Department of Hospitality and Tourism Management, Pamplin College of Business at Virginia Tech, Blacksburg, Virginia
                [2 ]School of Hotel and Tourism Management at the Hong Kong Polytechnic University
                [3 ]Department of Hospitality and Tourism Management, Pamplin College of Business at Virginia Tech
                Article
                10.1177/0047287506292702
                9839b0c4-9e16-470e-86f6-8f29858494e5
                © 2007

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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