Sentiment analysis in hospitality and tourism: a thematic and methodological review

Mehraliyev, Fuad; Chan, Irene Cheng Chu; Kirilenko, Andrei

doi:10.1108/ijchm-02-2021-0132

Cited by 81 publications

(50 citation statements)

References 102 publications

(191 reference statements)

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“…Systematic review of literature is a recognized method widely used in hospitality and tourism research to examine the significant contributions in a specific field of study and investigate the scientific debate in a specific scientific journal (Chu et al , 2020; Mariani and Baggio, 2022; Mehraliyev et al , 2022; Nusair, 2020).…”

Section: Methodsmentioning

confidence: 99%

In the travel bloggers’ wonderland: mechanisms of the blogger – follower relationship in tourism and hospitality management – a systematic literature review

Maggiore

Presti

Orlowski³

et al. 2022

IJCHM

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Purpose Even if the relationship between travel bloggers and followers has implications for tourists’ decision-making process, the literature does not individuate the main determinants of this relationship. This paper aims to study the drivers and motivations to follow travel bloggers and the main consequences. Moreover, the paper seeks to highlight the metamorphosis of travel bloggers and their role in the tourism industry. Design/methodology/approach A systematic literature review was used, and 76 papers were selected. A thematic map of the literature and a summary of key findings are proposed. Findings Although authenticity is the main trigger for following travel bloggers, other factors (e.g. transparency and credibility), if lacking, can erode the relationship with followers. Results demonstrate that hygiene factors are important but that the relationship with followers can be compromised if motivational factors are lacking. Loyalty and the continued use of travel blogs are the main consequences of a relationship based on trust, credibility and engagement. Practical implications Tourism and hospitality managers must define sophisticated segmentation procedures to select the right travel blogger with which to engage for destination promotions. Travel bloggers must clearly define the role that they want to have in the market if they are to instill loyalty in their followers. Originality/value To the best of the authors’ knowledge, this is the first paper that attempts to identify the pillars of the follower–travel blogger relationship in the tourism and hospitality literature.

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Section: Methodsmentioning

confidence: 99%

In the travel bloggers’ wonderland: mechanisms of the blogger – follower relationship in tourism and hospitality management – a systematic literature review

Maggiore

Presti

Orlowski³

et al. 2022

IJCHM

View full text Add to dashboard Cite

show abstract

“…In addition, technologies, such as mobile apps, robots and the internet of things, are expected to be adopted and to provide personalized services (Pelet et al, 2021;Mercan et al, 2020). For example, the statistical data and sentiment generated by tourists can be collected from apps and analyzed through various methods for better service (Han et al, 2021;Mehraliyev et al, 2021). Interactive location-based activities can be considered by AR developers.…”

Section: Practical Implicationsmentioning

confidence: 99%

A critical review of smart hospitality and tourism research

Law¹,

Ye²,

Chan

2021

IJCHM

Self Cite

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Purpose This study aims to build a comprehensive knowledge structure of smart hospitality and tourism research. Design/methodology/approach Content analysis is carried out on the themes of pertinent research from the perspectives of customers, suppliers, technology and policymakers. Findings Results show that over half of the reviewed articles are carried out from the perspective of customers, while those of suppliers, technology and policymakers are less discussed. The unbalanced number of articles reveals an evident mismatch between the supply and demand. Practical implications Findings provide theoretical and practical implications from different perspectives. Collaboration among various stakeholders is also advocated to achieve sustainable and balanced development of the smart hospitality and tourism industry. Originality/value This study contributes to smart hospitality and tourism research through an in-depth review of relevant literature. Based on the findings, the identified research gaps provide potential directions for future knowledge development.

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“…It might be also useful for destination management organizations and tourism bodies to explore the disease statistics and news sentiment index on a weekly basis and develop policies, programs, and marketing plans considering their effects of attitudes toward tourism. The previous literature describes the effects of online sentiment on tourism demand [17][18][19][20]. Therefore, the study results provide an opportunity to regress tourism demand on different sentiment measures with the moderating effects of COVID-19 statistics and generate out-of-sample tourism demand forecasts.…”

Section: Discussionmentioning

confidence: 96%

“…Sentiment analysis is a way to gauge peoples' attitudes quickly and account for change over time. Furthermore, several recent studies suggested that online sentiment can be used as an indicator of tourism demand [17][18][19]. Therefore, it is important to model and forecast future tourism demand by exploring the effects of COVID-19 statistics on sentiments toward tourism.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism

et al. 2021

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COVID-19 has significantly influenced tourism, including tourists’ and residents’ attitudes toward tourism. At the same time, attitudes and consumer confidence are important for economic recovery in the tourism sector. This study explores the effects of the COVID-19 pandemic on people’s attitudes toward tourism by analyzing time-series data on the number of COVID-19 positive cases, vaccinations, news sentiment, a total number of daily mentions of tourism, and the share of voice for positive and negative sentiment toward tourism. The applied data analysis techniques include descriptive analysis, visual representation of data, data decomposition into trend and cycle components, unit root tests, Granger causality test, and multiple time series regression. The results demonstrate that the COVID-19 statistics and media coverage have significant effects on interest in tourism in general, as well as the positive and negative sentiment toward tourism. The results contribute to knowledge and practice by describing the effects of the disease statistics on attitudes toward tourism, introducing social media sentiment analysis as an opportunity to measure positive and negative sentiment toward tourism, and providing recommendations for government authorities, destination management organizations, and tourism providers.

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Sentiment analysis in hospitality and tourism: a thematic and methodological review

Cited by 81 publications

References 102 publications

In the travel bloggers’ wonderland: mechanisms of the blogger – follower relationship in tourism and hospitality management – a systematic literature review

In the travel bloggers’ wonderland: mechanisms of the blogger – follower relationship in tourism and hospitality management – a systematic literature review

A critical review of smart hospitality and tourism research

COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism

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