Destination image and tourist loyalty: A meta-analysis

Zhang, Hongmei; Fu, Xiaoxiao; Cai, Liping A.; Lin, Lu

doi:10.1016/j.tourman.2013.06.006

Cited by 870 publications

(760 citation statements)

References 92 publications

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“…Specifically, a tourist's pre-trip interest moves from the impersonal scenery and destination related touristic activities to the personal enjoyment and delights they anticipate for themselves and their intimates (Dann, 1993). Consequently, the recognition of conative image as an antecedent of the intention to revisit a destination reintroduces the need to examine conative images, which contradicts the suggestions of previous researchers who considered that the intent or action component of image is analogous to behavior (Çakmak & Isaac, 2012;Gartner, 1996;Hallmann et al 2014;Lee, 2009;Nadeau et al, 2008;Prebensen, 2007;Roth & Diamantopoulos, 2009;Stylidis, Belhassen, & Shani, 2014;White, 2005;Zhang et al 2014) or who disregarded conative image when examining images (Assaker 2014;Bigné, Sánchez & Sanz, 2009;Byon & Zhang, 2010;Hudson et al, 2011;Lam & Hsu, 2006;Lin, Morais, Kerstetter, & Hou, 2007;Ryan & Cave, 2005;San Martin & Rodríguez del Bosque, 2008).…”

Section: Theoretical Implicationsmentioning

confidence: 93%

“…The multi-attribute concept of destination image serves as common ground for most destination image researchers (Dann, 1996;Gallarza, Saura, & Garcıá, 2002;Huang & Gross, 2010;Zhang, Fu, Cai, & Lu, 2014). The two main approaches are the ones developed by Echtner and Ritchie (1991) and Gartner (1993), with the latter being more popular among tourism scholars (Zhang et al, 2014).…”

Section: Destination Imagementioning

confidence: 99%

“…The two main approaches are the ones developed by Echtner and Ritchie (1991) and Gartner (1993), with the latter being more popular among tourism scholars (Zhang et al, 2014). Gartner's (1993) approach postulates that destination image consists of cognitive, affective and conative components.…”

Section: Destination Imagementioning

confidence: 99%

“…In doing so, we adopted Gartner's (1993) typology, which is very popular among scholars of tourism (Zhang et al, 2014). Given the various alternatives available for measuring the constructs under investigation, we performed Study One to develop a valid and reliable measure for each construct.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

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Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

et al. 2016

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This research examines the complex relationship between components of images of destinations and behavioral intentions, incorporating two pivotal constructs that have not been explored in the related literature, namely holistic image and personal normative beliefs (PNBs). Previous studies incorporating destination images as predictors of intention to revisit have mostly investigated their direct effect. This research integrates holistic image as a mediator and PNBs as a moderating variable. The findings verify the mediating role of holistic image for predicting tourists’ intentions to revisit a destination, supporting a model that incorporates a partial effect and two indirect mediations. Interestingly, only affective and conative images contribute to the prediction of tourists’ intentions to revisit a destination through the holistic image towards this destination. Moreover, PNBs moderate the effect that conative destination images have on tourists’ holistic images. Practically, the research sheds light to factors that affect tourists' tendency to select a tourism destination, which can serve as a basis for tailoring the effective positioning of destinations

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Section: Theoretical Implicationsmentioning

confidence: 93%

Section: Destination Imagementioning

confidence: 99%

Section: Destination Imagementioning

confidence: 99%

Section: Theoretical Implicationsmentioning

confidence: 99%

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Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

et al. 2016

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“…In the context of travel and tourism, a review of literature reveals an abundance of studies on tourist satisfaction; and destination loyalty has not been thoroughly investigated (Chi & Qu, 2007;Yoon & Uysal, 2003;Zhang et al, 2013). If tourists' experience at a destination is understood as a product, the level of loyalty can be refl ected in their behavioral intention to revisit the destination and intention to recommend the experience to friends and relatives (Oppermann, 2000).…”

Section: Methodsmentioning

confidence: 99%

The Main Factors Influencing the Destination Choice, Satisfaction and the Loyalty of Ski Resorts Customers in the Context of Different Research Approaches

Bédiová¹,

Ryglová²

2015

Acta Univ. Agric. Silvic. Mendelianae Brun.

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The paper summarizes scientifi c approaches to researches in the fi eld of destination choice, satisfaction and the loyalty of ski resorts customers. Information about existing models and trends from scientifi c journals are analysed. Multiattribute models are widely used in researches dealing with satisfaction and loyalty. It can be presumed that tourist overall satisfaction is determined by destination image and attribute satisfaction. Tourist attribute satisfaction is also directly infl uenced by destination image, and destination loyalty is in turn infl uenced by overall satisfaction. The results will be useful for researchers and practitioners who deal with tourist satisfaction and loyalty in particular for ski resorts operators. This paper represents the initial phase of the project aimed at researching the topical factors with their relationships and links infl uencing satisfaction and loyalty of ski resort customers in selected countries.

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Impact of airport green atmospherics on mental health value, image, and loyalty among visitors and workers

et al. 2020

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Nature‐based solutions (NBS) are becoming increasingly crucial as NBS brings diverse health‐related benefits to travelers and workers in the tourism business sector. This research explored the influence of green atmospherics as NBS on airport occupants' mental health value, image, and loyalty generation processes. A quantitative approach with a field survey method was employed. A structural equation modeling and metric invariance test were used as data analysis technique. Our empirical result revealed that green atmospherics as NBS significantly improve the occupants' mental health value and image of the airport, and these variables contribute to their loyalty enhancement for the airport. The effect of green spaces and natural surroundings on loyalty was maximized through mental health value and image. In addition, the linkages from natural surroundings to mental health value and image were stronger in the visitor group whereas the mental health value—loyalty relation was stronger in the worker group.

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Destination image and tourist loyalty: A meta-analysis

Cited by 870 publications

References 92 publications

Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

The Main Factors Influencing the Destination Choice, Satisfaction and the Loyalty of Ski Resorts Customers in the Context of Different Research Approaches

Impact of airport green atmospherics on mental health value, image, and loyalty among visitors and workers

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