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This paper studies the widespread price dispersion of homogeneous products across different online platforms, even when consumers can easily access price information from comparison websites. We collect data for the 200 most popular hotels in London (UK) and document that prices vary widely across booking sites while making reservations for a hotel room. Additionally, we find that prices listed across different platforms tend to converge as the booking date gets closer to the date of stay. However, the price dispersion persists until the date of stay, implying that the law of one price does not hold. We present a simple theoretical model to explain this and show that in the presence of aggregate demand uncertainty and capacity constraints, price dispersion could exist even when products are homogeneous, consumers are homogeneous, all agents have perfect information about the market structure, and consumers face no search costs to acquire information about the products. Our theoretical intuition and robust empirical evidence provide additional insights into price dispersion across online platforms in different institutional settings. Our study complements the existing literature that relies on consumer search costs to explain the price dispersion phenomenon. [ABSTRACT FROM AUTHOR]

The concept of all-inclusive (AI) hotel service is complex and multidimensional; grounded on the SERVQUAL model, this research aims to identify the main components of AI service that moderate online ratings. Aside from the dimensions comprised in the SERVQUAL model, this research discusses price, place, and experiences as essential components in AI hotel ratings. This research was applied in the Algarve, a mature sun and sea destination with more than thirty all-inclusive hotels in operation since 2008. A fuzzy set qualitative analysis (fsQCA) approach is used from 6742 validated reviews of four- and five-star all-inclusive hotels retrieved from TripAdvisor between August 2003 and April 2019. Single constructs in the AI ecosystem have no impact as a rating enhancer on TripAdvisor, with two or more constructs necessary to trigger the goal. This research also contributes by applying a fuzzy set approach to the extracted user-generated content (UGC) regarding AI hotels on TripAdvisor and revealing the necessary and sufficient conditions through the identified constructs that most contribute to high online ratings. [ABSTRACT FROM AUTHOR]

Room price and availability are important determinants of the timing of hotel bookings. However, their effects over time cannot be viewed as monotonic. Travelers book earlier when their target hotel charges higher prices than others only when their day of arrival is far away. Travelers book earlier when their target hotel is less available than others only if their target arrival day is less than two months away. Travelers also book earlier if they intend to travel with a child or other companions and stay for more nights. Furthermore, traveler booking lead times significantly increase the probability of actual check-in. [ABSTRACT FROM AUTHOR]

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The hedonic pricing method has been applied in the analysis of hotel room rates since the early 1990s and ever since has become the norm in the investigation of hotel room price determinants. A usual problem in the specific literature is that there are no theoretical guidelines in selecting the explanatory variables in hedonic pricing models. Therefore, scholars employed in such kind of research face the challenge of which of the numerous price determinants proposed in the literature should they include in their own analysis, with the hazard of multicollinearity complicating the issue even further. The current article proposes a strategy where both the variable selection problem and the potential multicollinearity are faced by utilizing a combination of stepwise regression techniques with a proper categorization of the candidate regressors. This procedure is used in analysing the determining factors of the hotel accommodation prices in Cyprus, a country whose economy is highly dependent on tourism, for 12 consecutive months, in order to account for the inherent seasonality. The main findings suggest that adding some attributes to the advertisements of the hotels significantly increase hoteliers' remunerations, but advertising certain other features may be actually sending negative signals, therefore hoteliers should consider excluding them from their brochures. [ABSTRACT FROM AUTHOR]

Park tourist facility managers need to understand guests' preferences for elements of the accommodation experience to provide an ideal mix of attributes. Hedonic pricing models were used earlier to estimate the implicit effect of facilities' characteristics on room rates. But these models do not account for possible spatial variations in the relationships. This study assessed the global and spatial influence of facilities' attributes on room rates in Amboseli, Tsavo East, and Tsavo West National Parks, the three contiguous most visited parks in Kenya, an important wildlife tourism destination, using data from on–line and geographical information systems. Results of the global model indicate that the availability of buffet breakfast, bathrobes, plunge pools, and ecolodge designs positively influences room rates, while the distance to aesthetic appreciation hotpots inversely correlates to rates. The spatial model uncovering non–stationarity in estimating the effects of facilities' attributes on room rates, predicts that the causal effects are better in particular places. It also revealed that particular facility attributes influenced room rates more strongly than others. The results of the global model can help park managers design destination marketing programmes while the facilities may use the spatial model to derive indices for product design and marketing decisions. [ABSTRACT FROM AUTHOR]

Hedonic pricing (HP) models are widely used to capture the price heterogeneity of hotel attributes and complementary services. This study uses a broad-ranging database with information about 11 hotels, located in the same Majorcan (Spain) coastal town, to identify the main attributes, complementary services and guest characteristics that affect hotel pricing, hotel revenue (RevPAR) and repeat stays. The results found that, aside from the main sources of price variability, such as accommodation type, location and season, other hotel attributes/services were found to influence these dependent variables: refurbishments, room type, occupancy level, number of stars, clients' online ratings and the specific hotel. Attributes/services did not have a homogeneous effect on the three types of models estimated, as some attributes increased prices without increasing RevPAR or number of repeat stays. [ABSTRACT FROM AUTHOR]

An organisation's inability to generate adequate income to sustain its business activities poses a significant challenge to maintaining profitability. Employing revenue-maximisation strategies is crucial to securing necessary resources and ensuring the continued success and stability of organisations. The purpose of this study was to examine the strategies adopted to achieve optimum room occupancy during slack periods to maximise revenue in 3-5 star-rated hotels in selected regions of Ghana. The study adopted a descriptive survey and incorporated mixed methods for data collection. The study was guided by neoclassical economic theory. The Yamane formula was used to determine a sample size of 60 hotels rated 3- to 5-star from the study sites. A stratified simple random sampling was employed to select 60 hotels that were used as study sites. In each hotel, eight respondents — general managers and departmental supervisors — were targeted, giving a total of 480 respondents. A purposive sampling method was used to select eight key informants from each category, drawn from the Ghana Tourism Authority and the Association of Hoteliers. Questionnaires were used to collect quantitative primary data from general managers and department heads. Key informant interview schedules were used to collect qualitative data from key informants. A multiple linear regression model was used to predict the overall relationship between independent and dependent variables. The analysed data was presented in tables and charts. The results revealed a significant correlation (R −0.823 = 82.3%) between the strategies employed to achieve optimal room occupancy. Based on the findings, it is recommended that 3- to 5-star-rated hotels in Ghana continue to focus on offering special rates and targeted marketing campaigns to attract guests, as well as collaborating with other stakeholders to expand their reach. [ABSTRACT FROM AUTHOR]

Accurately forecasting daily hotel occupancy is critical for revenue managers. Limited research focuses on predicting daily hotel occupancy by implementing traditional forecasting techniques, which only require a little statistical knowledge or expensive software for small independent properties. This study employs longitudinal daily occupancy data from multiple properties in urban settings within the United States to test four forecasting models for short-term (1–90 day) predictions. The results showed that Simple Exponential Smoothing (SES) was most accurate for four horizons, while Extreme Gradient Boosting (XGBoost) was better for shorter-term predictions in the other seven. In conclusion, these results demonstrate that small independent properties may successfully implement traditional forecasting methods for accurate daily occupancy forecasting. [ABSTRACT FROM AUTHOR]

Art evokes a wide range of effects, including emotional, cognitive, and behavioral outcomes. Despite the growing recognition of the role of art in tourism and hospitality, there is a gap in understanding how the different attributes of visual art influence guests' responses. This perspective paper aims to address this gap by introducing a conceptual framework of the effects of visual art attributes on guests' perceptions and behavioral intentions and calls for future research on the effects of different art characteristics in hospitality settings. Various attributes of visual art, such as the style, content, size, context, color palette, and thematic relevance of artworks, can serve as antecedents to guest experiences. Several factors can moderate the relationships between different art attributes and perceptions of art, including socio-demographic characteristics, personality traits, cultural differences, familiarity with art, and prior experiences. Hotel or vacation rental characteristics, including price, service quality, ratings, amenities, and other factors, can also interact with art perceptions in shaping attitudes toward the accommodation and behavioral intentions. A combination of survey methods, interviews, experience sampling, experiments, and emerging techniques can be applied in future studies to explore the effects of visual art and its attributes on guest and business outcomes. The proposed framework brings important implications for both academic scholarship and industry practice. [ABSTRACT FROM AUTHOR]

Purpose -- This study aims to analyse whether the impact of external factors on the average daily rate (ADR) varies according to the type of destination. The study measures the effects of length of stay, share of international tourism and seasonality on hotel rates for sun and beach tourism, city tourism and heritage destinations.. Methodology/Design/Approach --We collected monthly data from January 2021 to June 2023 and conducted a regression analysis to measure how international tourism, length of stay or seasonality differ by destination type and what impact these factors have on ADR. The data refers to the 106 tourist destinations defined by the Spanish Statistics Institute (INE). Findings -- Increasing the length of stay has a positive effect on ADR for cultural heritage destinations. In all types of destinations, a higher share of international tourism increases ADR, but the effect is particularly strong for city tourism. Greater seasonality is associated with higher hotel prices and is particularly relevant for sun and beach destinations. Originality of the research --A better understanding of ADR determinants, depending on the different destination types, is important for hotel managers and those designing tourism policies at destination level. [ABSTRACT FROM AUTHOR]

Consumers are drawn to the inherent quality of a product or service and how it is portrayed and described. This study investigated the impact of language used in property titles on pricing strategies and financial performance in peer-to-peer (P2P) accommodations by adopting the Language Expectancy Theory (LET) as a theoretical framework. The findings of this study demonstrate the significance of linguistic styles in property titles for determining P2P room rates, rental volume, and overall performance. Property titles that exhibit formal, logical, and hierarchical thinking are perceived as more sincere, personalized, and informative, resulting in higher rates, more significant rental volumes, and improved overall performance. On the contrary, properties with titles that convey expertise, and confidence, or adopt a positive and upbeat style tend to put lower room rates and yield lower performance yet generate higher volumes. This study expands the application of LET to P2P communication between an Airbnb host and a potential guest. [ABSTRACT FROM AUTHOR]

Built upon the compensatory decision-making model and anchor effect from the prospect theory, the current research examines the interactive effects of sales promotion and rating disadvantage on the intention to choose a low-rating hotel over a high-rating hotel. A 4 (sales promotions: control vs. monetary vs. non-monetary vs. combined) by 2 (rating disadvantage: small vs. big) scenario experiment was conducted to investigate participants' hotel choice intentions. Two-way ANCOVA results suggest that respondents' intention to choose the lower-rating hotel increases when it has a small rating disadvantage and provides a combined promotion (i.e. discount + free gift). [ABSTRACT FROM AUTHOR]

Copyright of Revista Técnica Tributaria is the property of Asociacion Espanola de Asesores Fiscales and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The tourism sector has voluntarily undertaken several initiatives to boost customer confidence in response to the COVID-19 pandemic. For example, in the hotel industry, three different strategies have been implemented: sending no COVID-19 safety signal; sending a moderate signal through a charter; or sending a strong signal through a label. This study aims to identify the main drivers of the hotels' choice among these strategies and to analyze the influence of their choice on price setting. We estimate a system of three equations (hotel pricing, star rating, COVID-19 safety signal) on a sample of 418 rated hotels in the Hauts-de-France region. Results support three main findings: 1) star rating positively correlates with COVID-19 certification; 2) COVID-19 certification has a strongly negative impact on hotel prices; 3) star rating moderates positively the effect of COVID-19 certification on prices. Furthermore, error terms between the star rating level and COVID-19 certification equations are strongly correlated. Hence unobserved common factors play a role in the adoption of these quality signals. Our findings are consistent with the idea that managers implementing safety signaling strategies are more worried about recovery speed after lockdowns. [ABSTRACT FROM AUTHOR]

In a competitive environment, where hotel demand is lower than market supply, it is of interest to determine what factors explain how excellence differentiates certain hotels from others. Using spatial quantile regression, this research investigates the effect of locational factors as well as those related to the management of human capital investment in Spanish hotels rated on Booking.com. The study shows that human capital investment in hotels can significantly increase guest delight. As regards location, hotels in protected natural areas that are far from large cities obtain higher guest review scores. Additionally, a spatial spillover effect due to reputation transfer among nearby hotels with median scores is found. However, this effect is not observed for hotels with very high scores. These results can serve to rationalize the available resources and inform hotel owners and managers about the factors required to achieve high scores. 在酒店市场竞争激烈的环境下，其需求低于市场供给，确定哪些因素更影响酒店评级尤为重要。本文采用空间分位数回归方法，调查了Booking.com上评级的西班牙酒店的地理因素和人力资本投资管理相关的因素的影响。研究表明，酒店的人力资本投入可以显著增加客人的满意度。在地理位置方面，远离大城市的自然保护区内的酒店获得了更高的顾客评分。此外，由于得分居中的临近酒店之间有声誉转移现象，其空间溢出效应被观察到。然而，这种效应并没有在得分非常高的酒店上观察到。这些研究结果可以帮助可用资源合理化分配，并使酒店管理者知晓获得高评分所需的因素。 [ABSTRACT FROM AUTHOR]

Purpose - The COVID-19 pandemic has had an unprecedented impact on the tourism sector changing the guest satisfaction during hotel stays. In this paper, we analyse how this perception has changed considering various pandemic stages. Methodology - Using 1595 reviews for hotels in Cuenca left on the Booking platform, we analyse the changes in the ratings of the stay and identify the factors that have the greatest influence on customer satisfaction and dissatisfaction by conducting a ANOVA analysis. We also consider the urban/rural area, type of traveler, nationality, gender and room type. Findings - he main results show an improvement in guest ratings after the worst moments of the pandemic, albeit with lower scores than in 2019 and 2020, indicating that the services offered by the hotel are key elements for customer satisfaction. Therefore, hotel managers should continue on the path taken, as it seems to be producing results, and try to enhance the services offered to guests. Originality - The outbreak of the COVID -19 pandemic necessitates a detailed analysis of the changes in hotel ratings and hotel characteristics evaluated positively and negatively by guests. However, a review of the literature reveals a gap in this regard, especially when considering different points in time during the pandemic. [ABSTRACT FROM AUTHOR]

Despite a large minimum wage literature that analyzes employee outcomes, there is less evidence on firm performance, prices, and quality. Exploiting staggered changes in U.S. minimum wages during 2000–2008 and census data on more than 29,000 hotel properties, we find that doubling the minimum wage as currently debated would reduce average hotel revenues by 6% per year and their occupancy rates by 3.1%. Responses vary by employer quality and organizational form. Although luxury hotels pass through cost increases to their customers with no impact on their revenues, upscale hotels facing more price-sensitive customers reduce prices but still suffer losses in occupancy rates and revenues as they struggle with preserving the expected quality level. They are also most likely to see quality downgrades from their segment. The lower-end hotels also pass through cost increases to their customers but, unlike luxury hotels, face significant declines in occupancy rates and revenues. Overall, the performance effects of minimum wage increases are nonmonotonic across quality. We also find negative impacts on hotel entry rates, although the performance and entry effects appear to be short lived. Furthermore, the negative effects of minimum wages dominate in states without right-to-work regulation, suggesting the need for a more comprehensive approach to labor market regulation. This paper was accepted by Victoria Ivashina, finance. Funding: M. Ayyagari received financial support from National Science Foundation Research (U.S) [Grant SES-1660755/1660749]. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2022.4650. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has caused serious consequences to the world economy and the tourism and hospitality industries, which depend on human movement, have been greatly affected. Unlike previous studies that have mainly investigated different focus attributes in online reviews after the COVID-19 pandemic, this study focuses on how such a health crisis affects individual tourists' rating behaviour. To address the research question, this study collected data from Qunar.com and adopted an interrupted time-series strategy in which the treated observations are set as tourists' rating behaviour after the pandemic and control observations are set as tourists' rating behaviour before the pandemic. Our results indicate that the COVID-19 pandemic positively affects tourist ratings for hotels, and such a positive effect is strengthened when tourists focus on health-related issues or travel for business. However, such an influence is weakened if hotels have a high star level. This study offers implications for both academics and practitioners. [ABSTRACT FROM AUTHOR]

Judgmental adjustments of algorithmic predictions with the aim of improving demand forecast accuracy are a common revenue management practice. While empirical evidence on the impact of these user overrides is growing, little research attention has been given to the time horizon and the frequency in which these adjustments take place. Utilizing a multilevel regression model for repeated measures, 20,081,973 forecasts comprising seven different time horizons were analyzed. Data were collected from 1752 hotels of different hotel types belonging to 232 hotel chains in seven geographical regions. We find that the accuracy of algorithmic computer forecasts improves as time nears the date of stay and that the number of user overrides impacts this accuracy. The effect of the override frequency depends on the type of the forecasted demand and on the presence of special events. A higher number of user overrides is beneficial for group segment, but damaging for the transient segment. During special events periods, override frequency enhances accuracy. [ABSTRACT FROM AUTHOR]

Hotel cancellation policies have shifted considerably in recent years. This is mainly in response to growing rates of last-minute cancellations and no shows and the resulting negative impact on the hotel's performance. This study explores how two key policy elements, the penalty and the cancellation window, are likely to benefit the hotel. That is, how the severity of the policies is likely to positively impact the hotel's financial performance. We developed a mathematical model and used cancellation and performance information data from a random sample of over 500 U.S. hotels to examine the effectiveness of a range of cancellation policies. The empirical findings support the mathematical model's prediction that moderate cancellation policies are likely to generate better financial performance levels, compared to more lenient or more stringent policies. [ABSTRACT FROM AUTHOR]

Strategies for responding to online reviews, particularly their evolution over time, represent an important and scarcely analysed topic in hospitality research. To address this gap, we analysed the evolution of response policies over 2010–2018 and their impact on hotels' online ratings. We analysed 82,025 reviews and 57,164 responses on TripAdvisor for 5-star hotels in the Canary Islands (Spain). The results showed an upward trend in the volume of responses given by hotels, which seem to be increasingly concerned about communication with their guests. Second, based on their level of commitment to their online communications (low, moderate or high), the evidence showed that high and moderately involved hotels had relatively unchanged policies, whereas low-involvement hotels tended to improve their policies. Third, the findings showed some connectivity between communication policy level and affiliation to chains, the geographical span of the chain, guest traveller type and the reviewers' experience level. However, no significant correlation was found between hotel size and communication policies. Finally, the results indicated that a positive relationship exists between hotel communication policies and the ratings given by reviewers, suggesting that effort put into communication policies is not in vain, and that even low-involvement policies are positively evaluated by guests. [ABSTRACT FROM AUTHOR]

The analysis is aimed at comprehending the interplay between exchange rates, hotel pricing, occupancy, and revenue per available room in three Nordic countries (Finland, Norway, and Sweden) using a novel approach of dynamic common correlated effects that can handle cross-sectional interdependencies, variations, and dynamics within the data. The paper finds that exchange rate appreciation has a significant adverse outcome on hotel occupancy rates but a positive effect on revenue per available room. In contrast, exchange rate fluctuations did not significantly impact hotel room prices, implying that hotels in Nordic countries can effectively consider the asymmetric influences of exchange rate fluctuations in setting room prices. The paper discusses implications for hotel managers and policymakers in coping with exchange rate fluctuations and optimizing hotel pricing. [ABSTRACT FROM AUTHOR]

This study investigates price elasticity of demand and its pricing effect on revenue performance of hotels during the COVID-19 pandemic. Using annual operating performance data on over 2,500 hotels from 2018 to 2021, this study provides empirical evidence of a relatively inelastic demand for the lodging sector. Price, income, cross-price, and lagged demand are positive and inelastic in their relationships with demand. Price has a significant and negative effect on lodging demand while a hotel's competitive position has a significant influence on RevPAR performance with both negatively affected by COVID-19. More important, the results show a significantly greater positive impact of pricing on RevPAR penetration for hotels that raised rates relative to hotels that dropped rates. The findings suggest that it may be best for hotels to maintain or raise room rates to maximize revenue performance in the midst of an external shock. [ABSTRACT FROM AUTHOR]

The increasing uncertainty in travel has resulted in elevated cancelation and no-show rates across many aspects of travel, elevating the importance of overbooking practices. Overbooking helps address travel uncertainty by accepting reservations beyond available rooms but may result in walk or re-accommodation costs if all (most) of these reservations materialize. Walk costs are not homogeneous across all customer types, with costs potentially different for loyal (branded, direct) versus non/less-loyal (third-party-intermediated) guests. We formulate an optimal overbooking model with class-dependent walk-out costs for a hotel with two classes of reservations—loyal members with higher walk-out costs, and nonmembers with lower walk-out costs, but with each class at the same room rate. We embed a dynamic walk-out model, one where guests may be proactively walked, that is, walked while rooms still available, into an overbooking model. The joint model determines optimal walk-out decisions to minimize expected walk-out costs while also determining optimal overbooking levels. We investigate how class-dependent no-show rates and walk-out costs impact optimal walk-out decisions and optimal overbooking levels. We find that changes in the no-show rates for a customer class only impact the overbooking levels of the related class whereas changes in class-specific walk-out costs impact all customer class overbooking levels. We offer managerial insight into a proactive and strategic walk-out policy for the lodging industry, aiming to achieve optimal overbooking levels. [ABSTRACT FROM AUTHOR]

In light of travelers' growing preference for sustainable hotel accommodation, this study investigated the relative importance of green certification labels/badges in online hotel selection/booking choice. A conjoint analysis was performed on seven online hotel attributes (including green certification labels/badges) in two specific scenarios (imagining they were booking in a pre- and post-COVID-19 setting) using 270 U.S. subjects surveyed in April 2020. The results revealed that green certification labels/badges do impact travelers' online hotel booking choice, but not as much as cancellation policies, hotel rating, price, and location. Price in particular exerted a greater influence on travelers' booking preferences in the post-COVID-19 scenario. Yet, a significant percentage of travelers (around 40% in both scenarios) were willing to pay more for a hotel with green certification. These results contribute to our theoretical and practical understanding of the factors that influence online hotel booking, as well as the power of green certification labels/badges in driving online hotel bookings in the pre-and post-COVID-19 contexts. [ABSTRACT FROM AUTHOR]

As the luxury market and associated experiential consumption continues to rise, the hospitality management literature lags somewhat behind practice in examining luxury experiences. This research presents an exploratory analysis of luxury hotel experiences via the approach of topic modeling and emotion detection in online luxury hotel reviews. Results demonstrate that "people" and "product—activity & wellness" aspects of luxury hotel experiences tend to be positively associated with online review ratings. The "product—food & beverage" and "physical evidence and place" aspects may produce mixed effects on rating levels. Finally, the "process" and "price and promotion" aspects tend to be negatively associated with online review ratings. Findings further reveal that such effects function via the mediation paths of various categories of discrete emotions. These results offer enriching insight for hospitality management research and practice regarding luxury hotel experiences. [ABSTRACT FROM AUTHOR]

This study explored how a hotel can appropriately decide what product set to offer in a sale period based on consumers' choice preferences and the behavior of referencing online ratings. This study referred to the choice-based deterministic linear programming model and collected the data from the Hsuan Chuang University's affiliated hotel, Yun Lai Hotel, to determine how a hotel should offer the product set in the planning period. The findings showed that (i) all product items should be offered in the sale period when there are plenty of vacant rooms in a hotel; (ii) in the circumstance of a low occupancy rate, a hotel should offer all product items; (iii) in the high occupancy rate situation, a hotel should offer all product items with lower expected revenue in the whole sale period, but provide products items with higher expected revenue in the partial sale period. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Hospitality & Tourism Technology is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The coronavirus pandemic had a tremendous impact on the hotel industry worldwide. The present study highlights strategic directions for quality improvements and customer satisfaction enhancement in Wuhan hotels by applying Multiple Criteria Satisfaction Analysis to online user-generated satisfaction ratings. In total, 21.247 guest satisfaction ratings on four aspects of hotel stay (location, cleanliness, value for money and service) as well as on overall satisfaction for the 406 hotels listed for Wuhan on TripAdvisor were retrieved. The analysis revealed that convenient location is the most important satisfaction criterion for hotel guests' satisfaction and that hotels perform well regarding this criterion. Also, cleanliness, value for moneyand service can be potential threats for customer satisfaction. [ABSTRACT FROM AUTHOR]

One of the challenges that the hospitality and tourism industry faces is determining the best-rated and ideal hotels for people with customized preferences. Users belong to various demographic groups, and the factors they consider when selecting a hotel depend on their priorities at the time. Therefore, to provide appropriate recommendations tailored to the individual preferences of users, forecasting customer demand is required, for which hotel sales rank prediction models are to be developed. In this regard, the present paper aims to develop a customized hotel recommendation model for sales rank prediction that considers factors like distance from a strategic location, online user ratings, word-of-mouth rating, hotel tariff, and customer reviews, using the aggregated data set of Indian hotels from trivago.com. Results show that the Artificial Neural Network algorithm predicts sales rank better than the Random Forest and Gradient Boosting algorithms. Implications for practice are provided. [ABSTRACT FROM AUTHOR]

Applying cointegration analysis on the monthly data of Singapore, this research note examines the impacts of global economic policy uncertainty (GEPU) and domestic economic policy uncertainty (DEPU) on the hotel room demand. Although control variables, such as average room rates, industrial production index and international tourist arrivals, are used and the specific-to-general modelling is adopted, the results show that the standard diagnostic tests may be incapable of identifying possible model mis-specification. The main findings show that DEPU has a negative impact, but GEPU has a positive impact on the hotel room demand. DEPU is linked to the political instability of Singapore, which discourages international travellers to visit Singapore. GEPU enhances Singapore's position as a stable business and financial hub in relation to others and thereby increases business travel. [ABSTRACT FROM AUTHOR]