What determines multinational hotel groups’ locational investment choice in China?

China's hotel industry has been developed quickly from a small number of 137 only in 1978 to 14,237 in 2009. One of the main drivers of the rapid development of the hotel industry has been the expansion of multinational hotel groups (MHGs) into China. The purposes of this study are to analyze the factors that determine the location strategies of MHGs and to assess what factors determine MHG's investment strategies in regard to choice of location. The study finds that the market demand and market size measured by number of inbound tourists, tourist spending, and actual foreign direct investment, the business environment measured by GDP per capital, and dummy variables measured by policy and mega events are all significant factors in affecting MHG's locational choices for investment. These findings may provide some insights for MHG's future investment strategies in regard to location choice.     

What determines the holding of association meetings in a global context?

This article aims to understand the determinants influencing the number of association meetings held in countries worldwide and which may be controlled by their economic agents and policymakers. For this purpose, we use a dynamic panel model with data provided by the Data World Bank, the World Travel & Tourism Council, and the International Congress and Convention Association, in a time series of 8 years. The results reveal the importance of the experiences obtained by the tourists in previous meetings, as well as the countries’ need to implement measures to stimulate the dynamism of economic activity and political stability.     

Who is a tourist? Classifying international urban tourists using machine learning

A key issue in tourism management relates to the lack of consensus regarding a theoretical and practical definition of the term “tourist.” In turn, this results in a range of methods for counting tourists and measuring tourism. This paper presents a novel non-linear model for classifying international tourists in urban settings, based on machine learning classification methods. These methods utilize innovative feature engineering derived from photos posted on the Flickr social media platform combined with the specific urban destination street structure. The data science model that we developed for identifying international tourists produced an overall accuracy of 69% for Manhattan and 94% for Vienna and Prague, offering new tourism indicators such as repeat visits, travel distances, and short stays. The outcome of this study offers a better understanding of travel patterns among international tourists, which could improve international tourism management and promote a more practical and adaptable model for measuring and analyzing international tourism using machine learning and user-generated content.     

Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach

The coronavirus disease (COVID-19) pandemic has already caused enormous damage to the global economy and various industries worldwide, especially the tourism industry. In the post-pandemic era, accurate tourism demand recovery forecasting is a vital requirement for a thriving tourism industry. Therefore, this study mainly focuses on forecasting tourist arrivals from mainland China to Hong Kong. A new direction in tourism demand recovery forecasting employs multi-source heterogeneous data comprising economy-related variables, search query data, and online news data to motivate the tourism destination forecasting system. The experimental results confirm that incorporating multi-source heterogeneous data can substantially strengthen the forecasting accuracy. Specifically, mixed data sampling (MIDAS) models with different data frequencies outperformed the benchmark models.     

What makes a destination beautiful? Dimensions of tourist aesthetic judgment

Drawing on the literature in environmental psychology, the current study attempted to reveal dimensions of tourist aesthetic judgment in the context of both nature-based and urban tourist destinations. Two-stage analysis of semi-structured interview data from a theoretical sample of 57 individuals yielded 21 aesthetic dimensions that were categorized into nine themes: Scale, Time, Condition, Sound, Balance, Diversity, Novelty, Shape, and Uniqueness. The identified themes were further conceptualized into a two-dimensional plane along Concrete-Abstract and Subjective-Objective continuums. This research posits that tourism allows a unique “appreciator-object” dyad where individuals are fully immersed in a destination in pursuit of a non-routine and oftentimes novel experience. The beauty of tourism destination is uniquely judged, admired, and appreciated, and the assessment of the beauty goes beyond the visual aspects and engages all senses. The findings make a theoretical contribution to the existing aesthetics literature and bear practical implications for destination planning, branding, and management.     

Is looking always more important than listening in tourist experience?

ABSTRACT

This study aims to compare the function of soundscape and visualscape in the tourist holistic experience through the lens of the cognition–emotion model. A questionnaire was distributed to collect data from 563 domestic tourists visiting Jiuzhai Valley National Park, China. Partial least squares regression–structural equation modeling (PLS–SEM) and a number of recently developed advanced analysis methods were used. Results indicate that soundscape and visualscape have different impacts on tourist cognition and emotion. Soundscape directly influences tourist overall satisfaction and visualscape observed. Tourist overall satisfaction is based on a listening–looking congruence. The findings suggest that managers should make good use of soundscape and consider its congruence with visualscape when designing tourist experience.     

How does tourist monitoring alter fish behavior in underwater trails?

Nature based tourism is becoming more popular because it is perceived as a solution to the conflict between conservation and economic exploitation. Nevertheless, it is known to cause several effects. This paper reports findings whereby monitored tourism avoids triggering adverse effects for social cichlid fish species, Crenicichla lepidota. Measures used included aggression toward territorial intruders and the number of nests built in pristine reference areas for monitored and in non-monitored tourist areas. We observed suppressed aggressive behavior and suppressed nesting only in the non-monitored area. We conclude that by monitoring visits, and using techniques including avoiding stepping on the river bed, reducing the number of visitors, prohibiting fish feeding and protecting riparian vegetation, it is possible to avoid the enduring damage caused by nature tourism.     

Using a Grey–Markov model optimized by Cuckoo search algorithm to forecast the annual foreign tourist arrivals to China

With the rapid development of the international tourism industry, it has been a challenge to forecast the variability in the international tourism market since the 2008 global financial crisis. In this paper, a novel CMCSGM(1, 1) forecasting model is proposed to address how forecasting precision is affected by the volatility of the tourism market. The Markov-chain grey model is adopted for its emphasis on the small-sample observations and exponential distribution samples. Additionally, the optimal input subset method and the Cuckoo search optimization algorithm are applied to improve the performance of the Markov-chain grey model. The experimental study of the forecasting of the annual foreign tourist arrivals to China indicates that the proposed CMCSGM(1, 1) model is considerably more efficient and accurate than the conventional MCGM(1, 1) models.     

Exploring cultural tourist towns: Does authenticity matter?

This study applies various conceptualisations of authenticity to explore to what extent tourists appreciate the authenticity of cultural tourist towns. Using the visitor-employed photography (VEP) method, this study collected visitor-employed data in two cultural tourist towns in Shanghai, China to analyse tourists' personal enjoyable aesthetic experience. Results show that tourists were not overly concerned about objective authenticity as long as they had a positive and enjoyable experience, and that some tourists experienced and favoured existential and postmodern authenticity in the tourist towns. Results highlight the importance of designing entertainment activities and iconic attractions in a strip shape to engage tourists and enhance their enjoyment. Overall, results suggest that sophisticated design characterised by interaction of four townscape factors – nature setting, emotional design, spatial configuration, and commercialised elements – can shape tourists' enjoyable authentic experience. Findings have implications for tourism and tourist attraction operators in their planning, design, conservation, and promotional efforts.     

What certifications are important in the hospitality industry?

The purpose of this study was to explore the need for certification in hospitality; and specifically to see if professional certifications are valued when earned at the college level and brought to the workplace when hired. There were 79 online surveys completed by hospitality industry professionals at the level of hiring manager. The results of the study showed that there is value in completing certificates while in college, before entering the hospitality workforce. Such certifications as ServSafe, Alcohol Awareness, and Guest Service Professional, were found important when applying to hospitality industry related positions after earning a 4-year degree.     

What fosters awe-inspiring experiences in nature-based tourism destinations?

Awe, an intense, and usually positive emotion often experienced by individuals visiting nature-based tourism destinations, has the potential to nurture strong connections between individuals and their environment. Despite this, awe research has been neglected in the tourism literature, especially in relation to the aspects or features that foster awe-inspiring experiences. This study sought to rectify this by focusing on such experiences in the remote, unique Kimberley region in north-western Australia. A total of 49 tourist interviews were conducted to ascertain their responses to the question “what has been your most awe-inspiring experience and why?” Responses highlighted five distinct facets contributing to respondents’ awe-inspiring experiences: marine fauna, aesthetics, ecological phenomena, vast geological landscapes and reflective/perspective moments. Future research should focus on exploring the applicability of these facets to other nature-based tourism destinations.     

Visitors’ satisfaction at managed tourist attractions in Northern Norway: Do on-site factors matter?

A plethora of research has studied the antecedents of visitor experience in destinations and tourist attractions. Few studies have systematically analyzed the discriminating effects of different types of on-site factors (presentation platform and support services) on tourist satisfaction at different attraction sites. To fill the gap, the current study examines whether and to what extent it is possible to identify some distinct sub-categories of on-site factors with discriminating effects on visitors’ perceptions and evaluations of the site, while taking into consideration the impact of attraction type and visitor type. The findings of a paper-and-pencil survey among 632 visitors at four attraction sites in Northern Norway suggest that visitor perceptions of presentation platform and support services differ significantly by attraction site and type of visit. Also, technological and oral/traditional presentation platforms have discriminating effects on visitor satisfaction among the four sites. The results offer some new research insights into the role of different presentation tools at visitor attractions. Several important practical implications for attraction managers and marketers to drive visitor satisfaction are also provided.     

Does residents' perceived life satisfaction vary with tourist season? A two-step survey in a Mediterranean destination

Recent attention has been dedicated to the relationship between tourism and subjective well-being, however studies have mainly focused on the tourist side. Since residents are an indispensable partner for the success of any tourism program, understanding whether and how tourism affects residents' perceived life-satisfaction is a crucial issue. However, scant attention has been paid to this theme and the majority of studies are cross-sectional. Here we develop a two-step survey, conducted in a seaside resort before and during the tourist season to test for significant differences in residents' perceptions of tourism impact and overall life satisfaction. The results confirm the hypothesis that perceived tourism impact and life satisfaction vary with the tourist season, and that tourism has a hidden cost in terms of perceived life satisfaction.     

Factors influencing Chinese tourist flow in Japan – a grounded theory approach

This study examined the factors influencing Chinese tourist flow in Japan. The study used a grounded theory to obtain insight into the tourist flow through text analysis of 96 online travel diaries and used these data to propose a model of factors. The model constitutes five categories: tourist condition (travel purpose, time budget, travel companion, prior visit experience, and opinions of others), destination characteristic (destination resource and distribution of destinations), transportation characteristic (transportation expense and transportation network), macro environment (visa policy and political relationship), and unforeseen circumstance (weather condition and fortuitous event). The study established a model for comprehensive understanding factors influencing tourist flow at inter-destination level.     

How do monetary and time spend explain cultural tourist satisfaction?

Tourist expenditure is studied from many perspectives, including that of the two primary types of budget—monetary and temporal—that a tourist must manage in a destination. Yet, despite the scholarly interest in tourist expenditure, no studies to date have sought to quantify how spend type affects tourist satisfaction.Since money and time are finite, it is important to understand how they contribute to tourist satisfaction. The aim of the present research is therefore to analyze how tourist behavior in a cultural destination, taking into account the real-time spending of both monetary and time budgets, contributes to satisfaction-formation. A sample of 957 touristic activities conducted in the City of Granada (Spain) was analyzed from a multilevel perspective, measuring tourist satisfaction with the activity in real time.The study identifies several factors of interest for stakeholders of cultural tourism from a new conceptual and methodological approach in tourism satisfaction studies.     

How smart is your tourist attraction?: Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach

Although smart tourism has gained increasing attention, empirical investigations of smart tourist attraction (STA) from a tourist perspective are still limited. The purpose of this study is to explore a methodological approach of assessing tourist preference of STA, and the strengths and weaknesses of an STA accordingly. First, factor analysis was used to determine tourists' key evaluation items of STA. Next, fuzzy comprehensive evaluation method and analytic hierarchy process were applied to the STA evaluation of Hongshan Zoo, a popular tourist attraction in China. Then, importance-performance analysis was conducted to diagnose the strengths and weaknesses of Hongshan Zoo's STA construction. Findings suggest that “smart information system”, “intelligent tourism management”, “smart sightseeing”, “e-commerce system”, “smart safety”, “intelligent traffic”, “smart forecasting” and “virtual tourist attractions” are tourists' key evaluation factors of STA. This paper extends previous research on smart tourism, and offers insights into the theoretical investigation and practical development of STA.