Traveling to your match? Assessing the predictive potential of Plog’s travel personality in destination marketing

Kim, Hany; Yilmaz, Semih; Choe, Yeongbae

doi:10.1080/10548408.2019.1683485

Cited by 23 publications

(18 citation statements)

References 78 publications

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“…Furthermore, clear observation of TTF requires an analysis that includes not only a holistic perspective of the co-fit between two or more constructs and how they affect performance but also their bivariate patterns in a reductionist perception of fit (Lin, 2017). As holistic fit depends on the details of bivariate patterns, choosing the best media technology for improving marketing performance in the tourism and hospitality industry is difficult without a clear understanding of how bivariate patterns of the fit between marketing tasks and technology characteristics affect customer perceptions of social media use (Kim et al, 2019;Baggio, 2020;Lin, 2017).…”

Section: Analysis Of Social Media Use For Marketingmentioning

confidence: 99%

Task-technology fit analysis of social media use for marketing in the tourism and hospitality industry: a systematic literature review

Lin

Han

Lyu

et al. 2020

IJCHM

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Purpose Research in tourism and hospitality industry marketing has identified many highly effective applications of social media. However, studies in the existing literature do not enable a comprehensive understanding of this phenomenon because they lack a theoretical foundation. Therefore, this study systematically reviewed the literature from the perspective of the task-technology fit (TTF) theory. The purpose of this paper is to map out what is known about social media use in tourism and hospitality marketing and what areas need further exploration. Design/methodology/approach A descriptive cumulative review of the literature obtained 99 articles published in tourism and hospitality journals from 2010 to 2019. Findings The analysis suggests that to understand social media use in tourism marketing, researchers and practitioners in the industry must clarify the following four issues: the control variables, longitudinal analyzes and TTF concepts that should be used in future studies; the fitness of social media platforms for tourism marketing; how various social media platforms differ in terms of performance outcome; and the digital divide in the use of social media for tourism. Originality/value An integrated framework was developed to identify constructs and to understand their relationships. Recent studies in this domain are discussed; theoretical and practical suggestions and implications for future research are given.

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Section: Analysis Of Social Media Use For Marketingmentioning

confidence: 99%

Task-technology fit analysis of social media use for marketing in the tourism and hospitality industry: a systematic literature review

Lin

Han

Lyu

et al. 2020

IJCHM

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“…According to the well-known Miossec (1977)'s model of touristic space theory, if cities in a region are connected by public transport systems, it is more likely to see urban destinations developing in terms of both attractiveness and sustainability. What is more, finding evidence about the correlation between city bike tourism and intra-destination use of public transport implies a sort of joint nudging of sustainable tourism by considering that, according to Kim et al (2019), promotional messages and travel personality have been found to influence the intention to visit.…”

Section: Discussionmentioning

confidence: 99%

Urban Cycling Tourism. How Can Bikes and Public Transport Ride Together for Sustainability?

2022

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“…An offer of compensation was provided for completion of our survey instrument. (We paid US 50 cents, which, per Kim, Yilmaz, and Choe [2019, p. 1030], is typical of the renumeration paid for similar studies and an amount, these authors suggest, that would “minimize misrepresentation intention.”) MTurk has been determined to be a reliable platform for conducting social science research (Kees et al 2017) and has gained significant acceptance by tourism researchers (e.g., Mehraliyev, Choi, and King 2021).…”

Section: Methodsmentioning

confidence: 99%

Who Should You Market to in a Crisis? Examining Plog’s Model during the COVID-19 Pandemic

Litvin

Guttentag

2021

Journal of Travel Research

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The COVID-19 pandemic has presented many challenges to destinations. Even those with thoughtful and comprehensive crisis management plans likely have struggled to navigate this difficult period. This research, based upon an application of Plog’s Model of Allocentricity and Psychocentricity and utilizing data collected during the early stages of the pandemic, provides insight regarding consumer attitudes toward vacation and VFR travel from early in the pandemic when no end to the crisis was in sight. The research provides strategic guidance to tourism marketers as they look for solutions during future challenging times.

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Traveling to your match? Assessing the predictive potential of Plog’s travel personality in destination marketing

Cited by 23 publications

References 78 publications

Task-technology fit analysis of social media use for marketing in the tourism and hospitality industry: a systematic literature review

Task-technology fit analysis of social media use for marketing in the tourism and hospitality industry: a systematic literature review

Urban Cycling Tourism. How Can Bikes and Public Transport Ride Together for Sustainability?

Who Should You Market to in a Crisis? Examining Plog’s Model during the COVID-19 Pandemic

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