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      First-Time versus Repeat Tourism Customer Engagement, Experience, and Value Cocreation: An Empirical Investigation

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          Abstract

          Though customer engagement (CE) and customer experience (CX) are recognized as key research priorities, empirically derived insight into their association with tourism customers’ ensuing value cocreation and destination revisit intent remains tenuous, in particular for first-time versus repeat customers. In response to this gap, we develop an S-D logic–informed model that tests the effects of tourism-based CE on CX, cocreation, and revisit intent. Our findings suggest that CE’s dimensions differentially affect CX and cocreation, which subsequently affects revisit intent. Second, we identify CE’s indirect effect on revisit intent, as mediated via CX and cocreation. Thus, the effect of CE on revisit intent is most pronounced under elevated CX and cocreation. Third, involvement is found to moderate the association between CX, cocreation, and revisit intent. Moreover, we identify significant CE, CX, cocreation, and revisit intent–based differences for first-time versus repeat customers. We conclude with important implications arising from our analyses and further research avenues.

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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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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              When to use and how to report the results of PLS-SEM

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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 10 2021
                : 004728752199757
                Affiliations
                [1 ]Department of Management Studies (South Campus), University of Kashmir, Jammu & Kashmir, Srinagar, India
                [2 ]Montpellier Business School - University of Montpellier, Montpellier Research in Management, Montpellier, France / Tallinn University of Technology, Tallinn, Estonia
                [3 ]School of Hospitality, Tourism, and Events & Centre for Research and Innovation in Tourism (CRiT), Taylor’s University, Subang Jaya, Malaysia
                Article
                10.1177/0047287521997572
                5da1a097-f884-421e-9d00-388560366f43
                © 2021

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

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