Comparing shopping experiences in department stores and street markets: a big data analysis of TripAdvisor reviews

Phucharoen, Chayanon; Jarumaneerat, Tatiyaporn; Sangkaew, Nichapat

doi:10.1108/ijcthr-10-2020-0228

Cited by 6 publications

(2 citation statements)

References 38 publications

(74 reference statements)

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“…The novelty and acceptance of vaping in some Southeast Asian countries can be a 'pull' factor for inbound tourism markets, especially in the aftermath of the COVID-19 pandemic. Likewise, the acceptability of vaping in or within proximity of coffee shops or restaurants can also be an opportunity to increase sales of tourism and hospitality products and services, which in turn also enhances the multiplier effect through job creation and other forms of secondary expenditure (Phucharoen et al, 2023).…”

Section: Arguments For and Against Vaping-induced Tourismmentioning

confidence: 99%

Tourism and Irresponsible Leisure: Policing the Vaping Landscape in Southeast Asian Countries

2024

JRTM

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Vaping (also known as electronic cigarettes) has taken the world by storm and is now a multi-million-dollar global industry. Yet, government policies and regulations do not keep pace with the segment’s explosive growth. Some countries have banned the sale of such products outright, though others have enforced rules surrounding its circulation. Nevertheless, vaping products appear easily accessible through online sales channels and often fall into the hands of a younger market segment. Vaping is considered a national issue among many countries, due to rising rates of youth adoption and addiction. The rise of vaping can be explained by its framing as a more desirable alternative to traditional tobacco products, as well as its range of flavours to suit different peer, and subculture groups. Nonetheless, this viewpoint traces the development of vaping in several Southeast Asian countries and the development of several government policies and regulations. Related to responsible tourism, this viewpoint explores the scenarios of vaping-induced tourism and support for or against such a development. Framed through the lens of a narcotics-induced tourism lens, this viewpoint argues how vaping can be classified as a form of irresponsible leisure in tourism, drawing upon its social and environmental negative outcomes. Future strategies and actions are proposed to help countries stem the tide of vaping, especially from an inbound tourism perspective.

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Section: Arguments For and Against Vaping-induced Tourismmentioning

confidence: 99%

Tourism and Irresponsible Leisure: Policing the Vaping Landscape in Southeast Asian Countries

2024

JRTM

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“…Despite its function as a major node in tourism income dissemination, nightlife tourism has received less academic attention than other types of spending. For example, Jang and Moutinho (2019) highlighted tourists’ spending on accommodation, while Meng and Xu (2012) and Phucharoen, Jarumaneerat, and Sangkaew (2021) explored tourists’ shopping behaviours. In fact, expenditure on accommodation, transportation, food and beverages and shopping is frequently examined by tourism scholars (Dayour, Adongo, & Taale, 2016; Disegna & Osti, 2016; Lee, Jee, Funk, & Jordan, 2015; Park, Woo, & Nicolau, 2020).…”

Section: Introductionmentioning

confidence: 99%

Social media sites and nightlife tourism: an empirical study of tourist decision-making on nightlife entertainment consumption

Phucharoen,

Wichupankul,

Sangkaew

et al. 2023

IJTC

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Purpose This paper aims to investigate the effect of tourists’ social media usage when planning trips on the probability of tourists consuming nightlife activities and their spending on nightlife consumption. Design/methodology/approach Two thousand questionnaires comprising questions about social media usage, consumption of nightlife entertainment and decisions to consume nightlife activities are distributed to international visitors at the departure hall of Phuket International Airport. A series of regressions are estimated. A Heckman two-step correction model is conducted to avoid the potential of selection bias. Findings Results show that the information available on Facebook positively links with the probability of tourists consuming nightlife activities. Furthermore, findings indicate that the usage of YouTube in tourist trip planning could statistically influence tourists to spend more on their nightlife consumption. Therefore, the results suggest that entrepreneurs could use Facebook to stimulate tourists’ nightlife consumption, while YouTube could be used to elevate tourists’ spending on nightlife consumption. The influence of these two social media sites on tourists’ decisions aids the authorities in the mitigation of the negative impacts of nightlife tourism. Originality/value Given the increasing role of social media in tourists’ consumption choices, to the best of the authors’ knowledge, this is the first paper to quantitatively explore the relationship between tourists’ social media usage and nightlife consumption in Thailand. The revealed relationship between the use of specific social media sites (Facebook and YouTube) and tourists’ decisions to consume and the amount spent on nightlife consumption could be used by nightlife tourism entrepreneurs and destination marketers in their marketing campaigns, yielding competitive advantages. Meanwhile, related authorities and non-profit organisations could apply this study’s findings to demarket tourists’ consumption of nightlife activities in areas affected by the negative impacts of tourists’ nightlife consumption.

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Machine learning applied to tourism: A systematic review

Núñez,

Gómez‐Pulido,

Ramírez

2024

WIREs Data Min & Knowl

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The application of machine learning techniques in the field of tourism is experiencing a remarkable growth, as they allow to propose efficient solutions to problems present in this sector, by means of an intelligent analysis of data in their specific context. The increase of work in this field requires an exhaustive analysis through a quantitative approach of research activity, contributing to a deeper understanding of the progress of this field. Thus, different approaches in the field of tourism will be analyzed, such as planning, forecasting, recommendation, prevention, and security, among others. As a result of this analysis, among other findings, the greater impact of supervised learning in the field of tourism, and more specifically those techniques based on neural networks, has been confirmed. The results of this study would allow researchers not only to have the most up‐to‐date and accurate overview of the application of machine learning in tourism, but also to identify the most appropriate techniques to apply to their domain of interest, as well as other similar approaches with which to compare their own solutions.This article is categorized under: Application Areas > Society and Culture Technologies > Machine Learning Application Areas > Business and Industry

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Comparing shopping experiences in department stores and street markets: a big data analysis of TripAdvisor reviews

Cited by 6 publications

References 38 publications

Tourism and Irresponsible Leisure: Policing the Vaping Landscape in Southeast Asian Countries

Tourism and Irresponsible Leisure: Policing the Vaping Landscape in Southeast Asian Countries

Social media sites and nightlife tourism: an empirical study of tourist decision-making on nightlife entertainment consumption

Machine learning applied to tourism: A systematic review

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