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      Measuring the Valence and Intensity of Residents’ Behaviors in Host–Tourist Interactions: Implications for Destination Image and Destination Competitiveness

      1 , 1
      Journal of Travel Research
      SAGE Publications

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          Abstract

          While studies have documented the valence (e.g., facilitation and harm) of residents’ behaviors toward tourists, research into the intensity (i.e., activeness or passiveness) for such behaviors and the corresponding matrix that could be generated by considering both of these dimensions in the context of tourism remains unexplored. This research offers a more holistic conceptualization of residents’ behaviors by generating a matrix that constitutes the framework of the Behaviours from Intergroup Affect and Stereotype (BIAS) Map. Twelve behaviors were measured and cross-culturally validated via samples from Hong Kong, Singapore, and the United States: Active Facilitation (i.e., socializing, interacting, and starting a conversation with tourists); Passive Facilitation (i.e., tolerating, accepting, and enduring tourists’ behaviors); Active Harm (i.e., mocking, threatening, and being unfriendly to tourists); and Passive Harm (i.e., resisting, refraining, and being reluctant to help tourists). This research provides implications for tourism policy makers to manage host–guest relations that could influence destination image and destination competitiveness.

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Journal of Travel Research
                Journal of Travel Research
                SAGE Publications
                0047-2875
                1552-6763
                March 2022
                March 16 2021
                March 2022
                : 61
                : 3
                : 565-580
                Affiliations
                [1 ]School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Kowloon, Hong Kong
                Article
                10.1177/0047287521997576
                a8792f67-9ad1-4869-b5c9-e91b4a96ddc0
                © 2022

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

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