Customer-based brand equity and destination visit behaviour in the tourism industry: the contingent role of social media

Saeed, Munazza; Shafique, Imran

doi:10.1007/s11135-019-00898-2

Cited by 29 publications

(30 citation statements)

References 99 publications

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“…This study incorporates the following constructs: (1) e-trust, (2) enjoyment, (3) perceived usefulness (PU) and (4) expertise, in order to determine the reasons behind tourists' attitudes and intentions. This study has remarkable practical implications on the tourism sector in Pakistan in light of the improved security conditions (Saeed and Shafique, 2019) and the renovated tourist service infrastructure (Travel & Tourism Competitiveness Report, 2019). These have led to a significant increase in touristic visits and a noticeable rise in related revenue generation based on the rebranding of Pakistan as a touristic destination across the world facilitated by the usage of social media.…”

Section: Gaps In the Literaturementioning

confidence: 99%

The technology acceptance model revisited: empirical evidence from the tourism industry in Pakistan

Hasni

Farah

Adeel

2021

JTF

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PurposeThis paper aims to analyze the adoption of social media platforms by tourists in Pakistan. Based on an adaptation of the technology acceptance model (TAM), this study assesses the factors that lead users to adopt these platforms.Design/methodology/approachA survey was administered to a convenience sample of 399 travelers who use social media in Pakistan. A Confirmatory factor analysis was conducted using AMOS to evaluate convergent and discriminant validity as well as composite reliability. Structural equation modeling was applied to examine the causal relationship among all proposed constructs.FindingsThe findings reveal that the perceived usefulness (PU) and perceived ease of use (PEoU) of a social media platform positively impact the behavioral intention of its users. The proposed constructs of compatibility, enjoyment, user expertise and e-trust all demonstrated their crucial roles in the adoption of a social media platform for tourism-related activities by enhancing the platform's PEoU and usefulness.Originality/valueThis research validates the relationship between PEoU and PU of a social media platform in the hospitality industry. Interestingly, this study has expanded TAM by validating the addition of four more constructs, (1) compatibility, (2) enjoyment, (3) e-trust, and (4) expertise, to add worth to this model regarding the understanding of social media usage in this specific industry. The findings are valuable both for managers and policymakers in the tourism sector in Pakistan, as the latter can utilize the results to entice a larger segment of social media users to the tourism industry.

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Section: Gaps In the Literaturementioning

confidence: 99%

The technology acceptance model revisited: empirical evidence from the tourism industry in Pakistan

Hasni

Farah

Adeel

2021

JTF

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“…Drawing on the literature, ten factors affecting tourists' selection between destinations were selected preliminarily: city attraction, tourist resource endowment, supporting facilities of scenic spots, economic development level, travel expense, accessibility, ecoenvironment, the brand image of the destination, local society and culture, and uniqueness of folk custom [49,[51][52][53][54][55][56]. Considering the importance of the influencing factors and the purpose of our research, four of the ten preliminary factors were screened out, leaving six factors for further analysis.…”

Section: Selection Of Influencing Factorsmentioning

confidence: 99%

Effects of High-Speed Rail on Sustainable Development of Urban Tourism: Evidence from Discrete Choice Model of Chinese Tourists’ Preference for City Destinations

Zhang

Jiang

2021

Sustainability

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In China, the opening of high-speed rails (HSR) brings significant changes to the source-destination spatial distance, the accessibility of destinations, and the spatial structure of tourist flows in each region, exerting varied HSR effects on different types of cities. Against this backdrop, it is meaningful to deeply explore tourists’ preference for city destinations in the light of HSR effects. The exploration could contribute greatly to the planning, marketing, management, and sustainable development of urban tourism. This paper takes Xiangtan and Yueyang as typical cases of the diffusion effect and the corridor effect of HSR. Firstly, the factors affecting destination choice were identified, and the attribute levels were configured, forming multiple virtual alternatives. Next, questionnaire surveys were carried out to collect tourists’ selections between each pair of alternatives. Further, a discrete choice model was constructed to assign a weight to each factor, reflecting its importance to tourists’ decision-making regarding their destination selection and to disclose the law of tourists’ preferences for destinations. The results showed that (1) Under the HSR diffusion effect, the top three factors affecting tourists’ preference for destinations in Xiangtan are convenience, connection time, and popularity; under HSR corridor effect, the top three factors affecting the tourists’ preference for destinations in Yueyang are reputation, convenience, and leisure and reception facilities (LRFs). (2) The destination preference is closely associated with personal features like gender, income, occupation, and fellow travelers. Tourists with different personal features give different attention to the various influencing factors. The research findings provide a reference for the sustainable development of urban tourism.

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“…One of them is to use this concept for tourist destinations. In this aspect, the following terms are used: destination BE [111,112], customer/consumer-based BE [111,[113][114][115][116][117], tourism destination BE [118][119][120], place BE [121,122] for Australia [18,111], Pakistan [114], Chile, Brazil and Argentina [115], Puerto Rico and US Virgin Islands [117], Slovenia [116,118,123], Switzerland and Austria [124], and Korea [120]. Other destinations, i.e., Kashmir valley [125], wine tourism destinations in Spain [119], mountain tourism destinations in the Patagonia region of Argentina [113], and Southern U.S. states [121] were also considered.…”

Section: Cbe As a Research Domainmentioning

confidence: 99%

“…Other destinations, i.e., Kashmir valley [125], wine tourism destinations in Spain [119], mountain tourism destinations in the Patagonia region of Argentina [113], and Southern U.S. states [121] were also considered. In the above-mentioned studies, the following elements of BE were analyzed: brand/destination awareness [114,116,[118][119][120][121][123][124][125], brand/destination image [114,116,118,119,[123][124][125], brand/destination loyalty [114,116,118,119,121,[123][124][125], brand associations [121,124], brand/destination perceived quality [116,121,125] or brand/destination quality [114,118,123], perceived value [119], or value [120], as well as social media [114]. Special elements were also considered, including nature, culture, infrastructure, socioeconomic environment, atmosphere, and social conditions [119] as well as preference, uniqueness, and price [120].…”

Section: Cbe As a Research Domainmentioning

confidence: 99%

Factors Determining City Brand Equity—A Systematic Literature Review

Górska-Warsewicz

2020

Sustainability

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The aim of this study is to analyze factors determining city brand equity (CBE) on the bases of a systematic literature review (SLR) according to a procedure developed by Tranfield. Five databases were searched (Scopus, Web of Sciences, Google Scholar, EBSCO, and Elsevier) for studies containing the term ‘city brand equity’. In addition, databases were searched for ‘destination brand equity’ and ‘place brand equity’ statements focusing on city brands. This SLR contains 36 empirical studies and does not include conference materials, and books. The analysis was based on three issues: general information (author/authors, year of publication, research tools, sample size, city and country as well as sample population), research specification (variables, hypotheses or research questions, statistical methods and research tools), and findings related to CBE and practical implications for destination marketing organizations, and destination or city managers. In summary, there are many factors determining CBE, including brand image, brand quality and brand awareness. These factors are related to cultural, environmental and ecological elements, as well as infrastructure and services offered to tourists. Brand assets related to the perception of the city brands in various aspects also proved to be important.

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Customer-based brand equity and destination visit behaviour in the tourism industry: the contingent role of social media

Cited by 29 publications

References 99 publications

The technology acceptance model revisited: empirical evidence from the tourism industry in Pakistan

The technology acceptance model revisited: empirical evidence from the tourism industry in Pakistan

Effects of High-Speed Rail on Sustainable Development of Urban Tourism: Evidence from Discrete Choice Model of Chinese Tourists’ Preference for City Destinations

Factors Determining City Brand Equity—A Systematic Literature Review

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