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      Postdisaster Social Capital, Adaptive Resilience and Business Performance of Tourism Organizations in Christchurch, New Zealand

      1 , 1 , 2 , 3
      Journal of Travel Research
      SAGE Publications

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          Abstract

          The resilience of tourism organizations is an important issue for destinations. While studies examine the social capital of firms, researchers have yet to understand the relationship between social capital (structural, relational and cognitive) and organizational resilience as predictors of business performance. This study evaluates these relationships at the interfirm level among tourism organizations in the postdisaster context of Christchurch, New Zealand, where business performance for some tourism operations was severely impacted. Surveys of tourism organizations reveal that structural capital has a positive relationship with both cognitive and relational capital. Only relational capital has an influence on adaptive resilience. Adaptive resilience has a significant influence on business performance. By showing which elements of social capital contribute to adaptive resilience, these findings can be used by tourism organizations in their recovery phase to direct investments in building resilience and strengthening interfirm relationships.

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          Most cited references119

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            • Record: found
            • Abstract: not found
            • Article: not found

            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A new criterion for assessing discriminant validity in variance-based structural equation modeling

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Travel Research
                Journal of Travel Research
                SAGE Publications
                0047-2875
                1552-6763
                September 29 2018
                September 2019
                August 27 2018
                September 2019
                : 58
                : 7
                : 1209-1226
                Affiliations
                [1 ]UC Business School, University of Canterbury, Christchurch, New Zealand
                [2 ]Centre for Sustainability, University of Otago, Dunedin, New Zealand
                [3 ]Queenstown Resort College, Queenstown, New Zealand
                Article
                10.1177/0047287518794319
                9e5c2425-8d9d-48a2-80ed-faf850d816cc
                © 2019

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

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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