Understanding tourists' policing attitudes and travel intentions towards a destination during an ongoing social movement

Yeung, Emmy; Leung, Rosanna

doi:10.1108/jhti-11-2021-0312

Cited by 12 publications

(8 citation statements)

References 54 publications

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“…The research studied the influence social media marketing had on characteristics like destination image and visited intentions (Lai et al , 2022). The findings partially corroborated the preceding study's conclusions (Chang et al , 2020; Sun et al , 2021).…”

Section: Discussionmentioning

confidence: 99%

Influence of social media marketing efforts, e-reputation and destination image on intention to visit among tourists: application of S-O-R model

Baber

2022

JHTI

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PurposeThis paper aims to explore the influence of e-reputation, destination image and social media marketing efforts (SMME) on the intention to visit among tourists. The relationships are examined through the lens of the stimuli-organism-response (S-O-R) theory.Design/methodology/approachThe responses were recorded from 209 domestic and international tourists who stayed in five-star hotels at Khajuraho, a UNESCO world heritage site in India. PLS-SEM was used to test the proposed hypotheses.FindingsThe findings revealed a significant positive relationship between SMME, e-reputation and destination image. The results also indicated that destination image fully mediated the relationship between e-reputation, destination image, SMME and visit intention.Practical implicationsThe research would enables tourism organizations to develop strategies and reap benefit from the information posted and shared by tourists on various social media platforms and gain a competitive edge over competitors.Originality/valueTesting the relationship between e-reputation and destination image as a mediator between SMME and intention to visit is a relatively novel idea. Previously, no attempt had been made to measure the influence of e-reputation related to destination image and intention to visit as supported by the S-O-R theory. This study provides empirical information on destination image and e-reputation building and the role of social media. It helps tourism managers create social media marketing strategies.

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Section: Discussionmentioning

confidence: 99%

Influence of social media marketing efforts, e-reputation and destination image on intention to visit among tourists: application of S-O-R model

Baber

2022

JHTI

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“…DI research so far has concluded the inability of promotional materials to alter the existing organic images of various destinations (Dogra and Karri, 2021;Hankinson, 2004). DS further contributes to this notion as it is rooted in the subject's confirmation bias (Lai et al, 2022) and as asserted by Nickerson (1998, p. 209), it "must be recognized as a major force that works against easy and frequent opinion change." However, by considering DS and addressing the prime cause of such a perception, DI can be altered for good and more importantly in an effective manner.…”

Section: Practical Implicationsmentioning

confidence: 96%

“…As such, marketing of a destination begins from a pre-existing notion, whether positive or negative, and not necessarily from a neutral base (Hankinson, 2004). Given the way organic images are formed, they cannot be knocked down but only altered through actual visits (Andsager and Drzewiecka, 2002;Lai et al, 2022;Laxson, 1991).…”

Section: Components and Formation Of Destination Imagementioning

confidence: 99%

Destination stereotypes: a phenomenon of destination image

Karri

Dogra²

2022

JHTI

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PurposeDespite years of research on destination image (DI), studies have surprisingly failed to investigate how tourists perceive and approach destinations that they are not cognizant about. While prodigious amount of information is available on the dimensionality and nature of DI, little is known about the construct with reference to cognizance, geographical proximity and units. Understanding such an aspect would help destination management organizations (DMOs) in refining their marketing strategies and in improving their destination's competitiveness.Design/methodology/approachThrough an extensive review of literature in areas pertinent to the phenomenon being investigated, this article puts forward a series of propositions, which are then used in the framework entailing the proposed construct of destination stereotypes (DS).FindingsWhile identifying an overlap in concepts pertaining to the fields of marketing and tourism, this study postulates that DS facilitate the extension of a destination's dominant impressions to that of another based on various parameters. It further discusses several courses through which impressions of a particular destination are extended to that of another, thereby putting forward DS as a missing link in tourists' reception of destinations.Practical implicationsDS as a construct helps in identifying the source of an impression which may not be the destination in question but instead another destination. Upon construct validity, the proposed framework would yield insights into other competing destinations and thereby effectively help in altering the extant DI.Originality/valueWhile there have been many studies on tourist stereotypes and DI, it is amongst the first few studies to have discussed stereotypes in the context of destinations and their image, especially with an emphasis on cognizance, geographical proximity and units. Therefore, it acts as a meaningful piece of work towards the progression of the DI literature.

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“…It will enhance the danger of hazards other than COVID-19, causing individuals to be cautious about selecting this location. Customers dislike it when the police make an unwelcome appearance in a popular tourist destination and respond aggressively to how visitors behave there (Lai et al, 2022). Using nonthreatening uniforms or staying safe while being protected by local authorities, if implemented simultaneously, will aid in regional tourism growth (Sousa and Alves, 2019).…”

Section: Knowledge Of Covid-19mentioning

confidence: 99%

Antecedents influence choosing tourism destination post-COVID-19: young people case

Phung²,

Vu³

et al. 2022

JHTI

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PurposeThis study aims to extend the theory of planned behavior (TPB) model with additional factors such as perceived risk, knowledge of COVID-19, social media reviews, destination image and past experience to analyze what influences the travel destination intentions of young people.Design/methodology/approachAn online survey of young people was conducted, and SPSS 20.0 and Smart-PLS (Partial Least Squares) 3.0 software were used to evaluate the measurement and structural models.FindingsThe study uses the extended TPB (Ajzen, 1991) to build on the factors affecting the selection of tourist destinations in relation to the risk perception of COVID-19, past experiences and images of destinations when traveling after the pandemic.Research limitations/implicationsThis study demonstrates the feasibility of applying the TPB framework and protection motivation theory (PMT) elements to people planning to visit a travel destination in the immediate wake of a public health emergency such as the COVID-19 pandemic. It explains the factors influencing tourists' intentions to visit during and after the pandemic. COVID-19 awareness and previous travel experiences influence post-pandemic travel decisions.Practical implicationsThis research result will help build motivation and confidence for local tourism businesses regarding the rapid recovery of the industry among young people. However, businesses need to vigorously promote safety and adapt tourism services to suit the new post-pandemic situation.Social implicationsThe results of this study can help tourism businesses understand why young people may be hesitant to come to their localities for tourism so they can come up with a suitable development strategy to attract tourists.Originality/valueThis study expands on the framework of the TPB to explore additional factors that positively influence youth travel, and the barriers that concern them. It also provides data on the novel context of tourism in the post-pandemic era.

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Understanding tourists' policing attitudes and travel intentions towards a destination during an ongoing social movement

Cited by 12 publications

References 54 publications

Influence of social media marketing efforts, e-reputation and destination image on intention to visit among tourists: application of S-O-R model

Influence of social media marketing efforts, e-reputation and destination image on intention to visit among tourists: application of S-O-R model

Destination stereotypes: a phenomenon of destination image

Antecedents influence choosing tourism destination post-COVID-19: young people case

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