Expanding theory of tourists’ destination loyalty: The role of sensory impressions

Lv, Xingyang; Li, Chunxiao; McCabe, Scott

doi:10.1016/j.tourman.2019.104026

Cited by 175 publications

(138 citation statements)

References 74 publications

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“…Behavioral loyalty includes an actual visitation or previous experience with the destination and is also referred to as past loyalty (Correia, Zins & Silva, 2015;Kaplanidou & Gibson, 2010); attitudinal loyalty involves several behavioral intentions including, the likelihood to visit again, visitation intention (Baloglu, 2001;Tasci, 2017), intention or willingness to recommend, intention to return (Castro et al, 2007;Chi & Qu, 2008;Patwardhan et al, 2020;Prayag & Ryan, 2012), perception as a recommendable place (Chen & Gursoy, 2001), positive opinion leadership, intention to revisit, continued future use (Kim & Crompton, 2002, P. 144), recommendations to others, and feeling about visiting again, also termed as future loyalty (Yoon & Uysal, 2005), while composite loyalty includes a combination of both attitudinal and behavioral loyalty (Zhang et al, 2014;Tasci, 2017). Diverse factors have been studied for their influences on loyalty in general and destination loyalty in particular (Prayag & Ryan, 2012;Stylidis, Woosnam, Ivkov & Kim, 2020), while researchers call for additional empirical research and frameworks to consider new antecedents of loyalty (Kislali, Kavaratzis & Saren, 2019;Lv et al, 2020) such as the comparative influences of people-and place-oriented factors. For a Tasci, A., Uslu, A., .…”

Section: Destination Loyalty: the Coveted Outcomementioning

confidence: 99%

Place-Oriented or People-Oriented Concepts for Destination Loyalty: Destination Image and Place Attachment versus Perceived Distances and Emotional Solidarity

Tasci

Uslu

Stylidis

et al. 2021

Journal of Travel Research

113

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Many studies have modeled several different concepts to explain destination loyalty; however, none have integrated place-oriented (e.g., destination image, place attachment) and people-oriented concepts (e.g., cultural distance, social distance, and emotional solidarity) for their relative influences on loyalty. The current study tested the influence of destination image (place-oriented) and perceived distances (people-oriented) as antecedents of place attachment (place-oriented) and emotional solidarity (people-oriented) for their relative influences on destination loyalty. Survey data collected from both domestic ( n=260) and international ( n=250) visitors to a city in Turkey, Antalya, revealed that place-oriented concepts (cognitive and affective destination images and place attachment) are better predictors of destination loyalty than people-oriented concepts (cultural distance, social distance, and emotional solidarity). Together, they explain about half of the variance in destination loyalty, 42% in past loyalty and 60% in future loyalty.

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Section: Destination Loyalty: the Coveted Outcomementioning

confidence: 99%

Place-Oriented or People-Oriented Concepts for Destination Loyalty: Destination Image and Place Attachment versus Perceived Distances and Emotional Solidarity

Tasci

Uslu

Stylidis

et al. 2021

Journal of Travel Research

113

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“…Tourists' diversified sensory impressions will affect tourists' willingness to travel to low-carbon cities. Tourist experience will have a long-term impact on loyalty to travel destinations, and good diversified sensory impressions will enhance tourists 'travel to travel destinations [13][14][15]. Studies have shown that the tourist experience is affected by the sensory dimension (sight, hearing, touch, taste and smell).…”

Section: Introductionmentioning

confidence: 99%

“…The destination image and sensory impression may coexist, but they have different psychological mechanisms ( Fig. 1) [15]. A tourist will evaluate according to the quality of the destination image or sensory impression, and then affect the satisfaction and loyalty of the tourist to the tourist destination, whether to consider revisiting or recommending Important factors for others.…”

Section: Introductionmentioning

confidence: 99%

Sensory Evaluation of Low-Carbon City Tourism by Gray Relational Analysis

Cheng

Liang

et al. 2021

E3S Web Conf.

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The promotion of low-carbon city tourism is an important measure to reduce carbon emissions in various regions and realize sustainability. This research explores tourists’ sensory experience in the city’s low-carbon tourism economy, environment and society from urban low-carbon tourism and providing relevant units with a blueprint for urban low-carbon tourism planning. This research accompanies the empirical cases and introduces Gray Relational Analysis to overcome the difficulties in practice, sometimes due to cost and time constraints, that strategies must formulate with little information, little data, or uncertainty. The research results show that the top low-carbon tourism evaluations of Tainan’s business districts by tourism experts are An-Ping Business District and ChengKung University Business District. Relevant planners can refer to this ranking and weight to analyse sensory marketing opportunities to help create a more attractive low-carbon tourism city.

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“…Tourism development impacts the local economy and residents' lives socially, economically, and environmentally [1,2]. A stakeholder approach is used to assess the impacts of tourism [3,4]. Local residents link tourism development with the challenges of sustainable development, which affect their support for further tourism development [5,6], more hospitality, and for the sustainability of tourism [7].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Variance Analysis: A Quantitative Approach for Relevant Factor Exploration and Confirmation of Perceived Tourism Impacts

Trương

Nguyen

Trinh

et al. 2020

IJERPH

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The issue of tourism impacts is one that has plagued the tourism industry. This study develops a quantitative approach using hierarchical variance analysis, which deals with the exploration of the relevant factors and the confirmation of their significant contribution to analyze the residents’ perception of tourism impacts. Hierarchical variance analysis includes three mathematical procedures: Cronbach’s alpha tests, the exploration of relevant factors, and a hierarchical factor confirmation. Data are collected using a structured questionnaire completed by 452 surveyed residents living in Ly Son Island, Vietnam. The significant effects of socio-demographic variables on the overall impact assessment are observed. The bilateral and simultaneous relationships are analyzed using a one-factor ANOVA. A two-factor ANOVA shows the significant contribution of each socio-demographic variable on the economic, socio-cultural, and environmental impacts. Interaction between factors such as “Education level”, “Type of work”, etc. are hierarchically confirmed. The findings allow a better understanding of the residents’ perception of the effects of tourism on society, the economy, and the environment. This provides a scientific basis to help define problems and promote legal regulations for community participation in tourism planning in a small island destination.

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Expanding theory of tourists’ destination loyalty: The role of sensory impressions

Cited by 175 publications

References 74 publications

Place-Oriented or People-Oriented Concepts for Destination Loyalty: Destination Image and Place Attachment versus Perceived Distances and Emotional Solidarity

Place-Oriented or People-Oriented Concepts for Destination Loyalty: Destination Image and Place Attachment versus Perceived Distances and Emotional Solidarity

Sensory Evaluation of Low-Carbon City Tourism by Gray Relational Analysis

Hierarchical Variance Analysis: A Quantitative Approach for Relevant Factor Exploration and Confirmation of Perceived Tourism Impacts

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