A General Model Of Traveler Destination Choice

Woodside, Arch G.; Lysonski, Steven

doi:10.1177/004728758902700402

Cited by 897 publications

(625 citation statements)

References 13 publications

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“…As mentioned above, the relationship between destination images and intention to revisit is the scope of the present study, and the extant literature suggests that cognitive and affective images have a positive, direct effect on tourists' intentions to revisit a destination (Bigné, Sánchez, & Sanz, 2009;Chew & Jahari, 2014;, as positive perceptions of destinations drive purchase decisions (Woodside & Lysonski, 1989). Accordingly, our expectation is that: Fesenmaier (1997, p. 538) define holistic image as, "A composite of various products (attractions) and attributes woven into a total impression", while Um and Crompton (1990, p. 432-33) posited that holistic or overall image is, "A holistic construct which, to a greater extent, is derived from attitudes towards the destination's perceived tourism attributes".…”

Section: Intention To Revisit a Destinationmentioning

confidence: 96%

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: Intention To Revisit a Destinationmentioning

confidence: 96%

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

et al. 2016

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“…Location choice models are applied to several other different contexts, such as the choice of a departure airport (Furuichi and Koppelman;1994), the choice of a hospital for patients by general practitioner (primary care physicians) (Whynes et al;, the choice of touristic destinations (Woodside and Lysonski;1989;Um and Crompton;1990;Eymann and Ronning;Oppermann;2000;Seddighi and Theocharous;Bigano et al;2006;Chi and Qu;Gössling et al; and in particular recreational outdoor facilities (Fesenmaier;1988;Scarpa and Thiene;2005;Thiene and Scarpa;2009), the choice of migrants (Fotheringham;1986) and the optimal allocation of charging stations for electric vehicles .…”

Section: Location Choicementioning

confidence: 99%

Location choice with longitudinal WiFi data

Danalet

Tinguely

Lapparent

et al. 2016

Journal of Choice Modelling

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While moving from diary survey to location-aware technologies, recent data collection techniques provide new insights about location choices. Only few dynamic models of location choice exist in the literature, and none of them to our knowledge correct for serial correlation. In this paper, we apply a method proposed by Wooldridge (2005) to deal with the initial values problem on the choice of catering locations on a campus using WiFi traces. Cross-validation, price elasticity and simulation of a scenario predicting the opening of a new catering location are presented. Predicted market shares of the new catering location correspond to point-of-sale data of the first week of opening.

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“…In a further 27% of the destinations, though generally known, respondents indicated that they needed more information in order to decide on visiting. It is important to note that destination awareness influences the tourists' purchase decision only if it forms part of the customer's awareness set and therefore determines the preference for a destination (Woodside and Lysonski, 1989;Um and Crompton, 1990). This therefore implies that such destinations falling within the unawareness set would naturally not be considered as potential vacation destinations to visit.…”

Section: Kenya's Tourism Marketing In Focusmentioning

confidence: 99%

From National to Regional Tourism Development Focus in Kenya: Examining the Challenges and Opportunities

Ndivo

Waudo

Waswa

2013

Tourism Planning & Development

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Despite Kenya's unique combination of tourist attractions spread throughout the country, the tourism activity in the country has always been almost exclusively centred on two geographical regions: the coastal beaches and a handful of game reserves and national parks. The goal of this study was thus to examine the reasons for the country's skewed tourism development and explore strategies of addressing the skew. The study was primarily based on documentary review of existing empirical and official government reports and other related documents. The study revealed key factors as being responsible for the lopsided development of Kenya's tourism. First and foremost, the country's tourism development policy proved to be a leading obstacle to the development of the country's tourist attractions and regions. Further, the centralised focus of Kenya's tourism planning, governance and marketing was also noted as being responsible for the skewed tourism development in the country. In addition, there was an evident lack of consensus on the demarcation of the different tourist regions in the country by the key tourism development agencies and stakeholders. It was also noted that Kenya lacks a tourism master plan, a roadmap to guide the development of the industry. Other factors included lack of awareness of the different attractions in the country and the passive role of tourism marketers in packaging and promoting the different tourist attractions in the country, only concentrating on the traditionally popular ones. The study thus recommends the adoption of a regional tourism development focus in Kenya that would facilitate the development and positioning of the different tourist attractions and regions as destinations on their own right. Unlike the centralised approach, this model would recognise the varied needs, level of maturity and vision of each region and be supported within the context of the existing national and county framework.

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A General Model Of Traveler Destination Choice

Cited by 897 publications

References 13 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

Location choice with longitudinal WiFi data

From National to Regional Tourism Development Focus in Kenya: Examining the Challenges and Opportunities

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