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  • 1.
    Chekalina, Tatiana
    et al.
    Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography.
    Fuchs, Matthias
    Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography.
    Lexhagen, Maria
    Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography.
    Customer-based destination brand equity modelling: The role of destination resources, value-for money and value-in-use2018In: Journal of Travel Research, ISSN 0047-2875, E-ISSN 1552-6763, Vol. 57, no 1, p. 31-51Article in journal (Refereed)
    Abstract [en]

    This study contributes to the development of knowledge on transferring the concept of customer-based brand equity to a tourism destination context. Keller’s (2009) brand equity pyramid is utilized as the comparison framework to reveal similarities but also overlaps, differences and gaps on both the conceptual and measurement level of existing brand equity models for destinations. Particularly, the inner core of the model depicts the complex mechanisms of how destination resources transform into benefits for tourists overlooked by prior research. This study proposes a customer-based brand equity model for destinations, which consists of five dependent constructs, including awareness, loyalty, and three destination brand promise constructs constituting the inner core of the model, namely, destination resources, value-in-use and value-for-money. The model was repeatedly tested for the leading Swedish mountain destination Åre, by using a linear structural equation modelling approach. Findings confirm the path structure of the proposed model.

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  • 2.
    Fuchs, Matthias
    et al.
    Mid Sweden University, Faculty of Human Sciences, Department of Social Sciences.
    Höpken, Wolfram
    Föger, Andreas
    Kunz, Martin
    E-Business Readiness, Intensity, and Impact: An Austrian Destination Management Organization Study2010In: Journal of Travel Research, ISSN 0047-2875, E-ISSN 1552-6763, Vol. 49, no 2, p. 165-178Article in journal (Refereed)
    Abstract [en]

    The majority of today’s information and communication technology (ICT) impact studies disregard infrastructural, organizational as well as environmental factors typically responsible for successful e-Business adoption and use. The paper proposes an empirical approach which shows how the mentioned factors determine both e-Business adoption as well as ICT impact. The research framework is based on Rogers’ Innovation Diffusion Theory (1995) and is tested with survey data gathered in the Austrian Destination Management Organization (DMO) sector. By referring to Zhu and Kraemer’s (2005) e-Business impact model the proposed approach explicates how the use of e-Business applications may positively affect the performance of tourism organizations. Online survey data are analysed through a linear structural equation modelling (SEM) approach

  • 3.
    Fuchs, Matthias
    et al.
    University of Innsbruck, Austria.
    Weiermair, Klaus
    University of Innsbruck , Austria.
    Destination benchmarking: An indicator-system’s potential for exploring guest satisfaction2004In: Journal of Travel Research, ISSN 0047-2875, E-ISSN 1552-6763, Vol. 42, no 3, p. 212-225Article in journal (Refereed)
    Abstract [en]

    After giving an overview of latest benchmark approachesin tourism, an already existing Benchmarking Indicator Sys-tem implemented by the Austrian Government in 1987 is dis-cussed. This article first critically assesses the neglect of rel-evant elements covering the production and delivery processof tourism services in this approach. Hence, the existingbenchmarking approach is extended conceptually by linkingit to tourists’ satisfaction measures. There is growing evi-dence that tourism service quality attributes can fall intothree different categories of factors that display a differingimpact on tourist satisfaction. The literature distinguishesbetween two different approaches for best identifying thesefactors: Vavra’s two-dimensional Importance Grid, which isbased on customers’ self-stated importance and derivedimportance assessments, and Brandt’s Penalty-Reward-Contrastanalysis,which is based on the performance-only approachand thus only uses one (e.g., the satisfaction) variable. Thisarticle tests both approaches empirically using different setsof variables from a recent destination benchmarking survey

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