Re-examining the overcapacity of the US lodging industry

Although the deteriorating profitability of the US lodging industry has been repeatedly attributed to overcapacity, there has been little research on the causes of overcapacity. The authors suspect that this issue stems from the lack of a working definition of optimal capacity level. This study evaluates the optimum capacity of the US lodging industry based on the fundamental price theory, which posits that prices are determined through equilibrium. Results of the simultaneous equations model show that the industry has an incentive to maintain overcapacity because the outcomes of under-capacity are even less desirable. The uncertainty of demand further encourages overcapacity to some extent. Historical overcapacity cycles in the US lodging industry suggest that overcapacity seems to be an outcome of unexpected demand shocks, rather than the consequence of irrational overbuilding. Implications for the industry and suggestions for future research are presented along with the study findings.     

Determinants of a restaurant average meal price: An application of the hedonic pricing model

This study applies the hedonic pricing model to examine important attributes influencing average customer meal prices in restaurants in Seoul, Korea. Data from 185 restaurants were collected via Internet, phone interviews, site inspections, and ZAGAT Survey, and analyzed using OLS regression. The log-linear model was found to be most suitable for the data, and the proposed hedonic model accounted for as much as 73.7% of the variation in meal prices. The results indicate that food quality and décor were important determinants of restaurants’ average meal prices while service was not. Furthermore, the study found that a restaurant's location within the building (1st floor), the types of cuisine served (Japanese and Italian), parking facilities, private dining settings, franchising, and the number of blogger reviews (e-WOM) have significant effects on restaurants’ average meal prices. The model will provide useful information for restaurateurs in deciding effective menu pricing strategies.     

A room with a view—A valuation of the Mediterranean Sea view

Aesthetic view is one of the ecosystem services of the Mediterranean Sea which can be estimated using price differences in the hotel market. Hotels situated on the Mediterranean Sea charge higher prices for a room with a sea view than for a room without it. The value of this view in 10 major Mediterranean regions was estimated in this paper using a hedonic price method. Data on 2819 hotel rooms in high season and 2406 rooms in the low season were collected from Booking.com and fixed effects regression was used to estimate the model coefficients. Hotel room prices were found to be higher by about 10% for a room with a view than for one with no view specification. No significant difference was found between regions or season. These findings lend support to the fact that the view of the Mediterranean is equally valued in all regions.     

The influence of preciseness of price information on the travel option choice

$159.99, 159.38 or $160.00? The phenomenon of pricing around a rounded number, with apparent preciseness, is commonly observed in the marketplace. Much research has been conducted in the general area, and has established that the use of precise prices, those without a zero-ending, tends to lead to increased sales and to a more positive customer attitude. To date, the best explanation offered is that most people read from left to right, so the last numbers of a price may be less salient than the leading numbers. In an endeavor to establish a better understanding of the phenomenon, this research consists of five experiments in a tourism context to first clarify the phenomenon and account for possible alternative explanations, and then to provide empirical evidence that different representations of price can imply different construal levels, and thus influence consumers' choice preference in tourism marketing.     

The discount effect of non-normative physical characteristics on the price of lodging properties

This study suggests that lodging properties with tangible attributes enabling them to be easily converted are more liquid than those that are specific to a limited number of contracts, and thus benefit from a price premium. Grounded in the integration of research on transaction cost and real estate in the hospitality context, this paper investigates the effects of non-normative physical characteristics of lodging properties on their price discounts. The deviation from the normative physical characteristics of an asset is the operational measure of asset specificity. We estimate the standardized residuals resulting from a hedonic valuation model on 10,722 lodging transactions in the U.S. from 1980 to 2008 to develop our measurement of price discount. Results show that deviations from the norm on the three physical characteristics used are significant determinants of the price discounts and that the significance of the normative characteristics of lodging properties varies across segments.     

Pricing determinants in the hotel industry: Quantile regression analysis

Due to the skewed distribution of hotel prices, quantile regression provides a more flexible and complete characterization of the determinants of the hotel prices at the higher and lower tail of the distribution. This study applies quantile regression approach to investigate the major determinants of hotel room pricing strategies. The ordinary least square regression is also used for comparative purposes. The data are drawn from 58 international tourist hotels in Taiwan and average room rate (ARR) is used as the proxy of hotel room price. The results of OLS and quantile regression share common characteristics but also have differences in some aspects. The OLS results reveal that number of rooms, hotel age, market conditions and number of housekeeping staff per room are the main attributes of hotel room rate. The quantile regression results further demonstrate that room number and the number of housekeeping staff per guest room do not significantly influence hotel price at the low price quantile. Hotel age and market conditions are only significant determinants in high-price category. Additionally, for the high-priced quantile hotels, the proportion of foreign individual travellers positively and significantly influences room price. The empirical results can help hoteliers in shaping investment and pricing strategies.     

The impact of cultural orientation on perceived fairness over demand-based pricing

Revenue management practices are now being implemented by hotel firms on a global scale. This requires a finer understanding of how different cultures will relate to perceived unfairness that stems from the inequities inherent in demand-based pricing. In this context, individualism and collectivism as cultural constructs have been used extensively in cross-cultural research. These constructs are manifested with vertical and horizontal orientations that distinguish social patterns based on the acceptance of a hierarchy or conversely the preference over equality. The purpose of this study was to examine the relationships between vertical and horizontal orientations of individualism and collectivism with perceived price fairness over demand-based pricing. Findings indicate that vertical individualism has a significantly positive relationship with perceived price fairness. This can be attributed to the inherent acceptance of inequality in this cultural dimension combined with the emphasis of the individual over the collective unit. Marketing implications for lodging managers are discussed.     

The impact of gasoline price fluctuations on lodging demand for US brand hotels

Analyzing US brand hotels, over a 13-year period, this study provides empirical evidence of a significant negative relationship between gasoline prices and demand for certain lodging products, controlling for economic factors (i.e. gross domestic product and population density). Applying principles from microeconomic demand theory to the literatures on gasoline price elasticities, consumer demographics and lodging demand, a set of hypotheses were devised to test the relationship between gasoline prices and lodging demand for specific hotel locations and price segments. Using fixed effects models, the results reveal that lodging demand decreases as gasoline prices rise in all segments except upper-upscale and all locations except urban areas. Hotels in midscale without food and beverage and economy market segments, in resort, suburban and highway locations, exhibit the greatest association between gasoline price shifts and demand. Implications of these findings are discussed for both hospitality research and practice.     

A comparison of destinations’ impacts on hotel rates

The impact of destinations’ attributes on hotel rates in different locations has been insufficiently compared the existing literature. This study sought to apply the hedonic pricing method to measure and compare how room prices are affected by factors that are both external and inherent to hotel companies. After collecting nearly all the data regarding hotel features that consumers can use to make choices about accommodations on the TripAdvisor website, different models were developed for each city and season. The results suggest that hotels in Barcelona are more dependent on external conditions than hotels in Madrid are. In addition, hotels in both cities are more affected by external conditions during the high season. This paper discusses these and other results, as well as their implications.     

The exploration of hotel reference prices under dynamic pricing scenarios and different forms of competition

The reference price, used by consumers to evaluate market prices, has tremendous relevance in dynamic pricing. Reconciling current heterogeneous theories and studies on reference prices, this paper analyzes the impact of hotel price sequences on consumers’ reference prices through a lab and a field experiment. Experiment 1 tests the importance of retrospective price evaluations, while Experiment 2 evaluates the impact of three forms of competition: (i) simultaneous behavior, where firms adjust prices simultaneously; (ii) leader–follower behavior, where one firm acts as the leader; and (iii) independent behavior, where each player takes its rival's strategy as given and seeks to maximize its own profits. The results show that consumers decrease their reference price when competing hotels adjust their prices simultaneously. Relevant managerial implications are drawn for the hospitality industry, which is affected by the presence of online travel agencies that announce the daily rates offered by each competitor.     

The ADR rule-of-thumb as predictor of lodging property values

In a positive context, asset valuation models may be judged on the basis of their predictive ability rather than on the number and elegance of the underlying assumptions. The Average Daily Rate (ADR) rule-of-thumb has been used for decades as a quick way of estimating hotel and motel room rates and, more recently, as a simple gross-income multiplier model for predicting values of lodging properties. This study examines how well the ADR rule-of-thumb model predicts property values. The results of our comparative analysis of estimates from the ADR model with those from a hedonic valuation model indicate that the ADR model performs well in the aggregate, but is an inconsistent estimator at various levels of disaggregation, such as when property subsamples were organized by number of rooms, age, occupancy rate and number of restaurants.     

The effects of beach characteristics and location with respect to hotel prices

This paper measures the effects of beach characteristics and hotel location with respect to the beach on sun-and-beach hotel prices by using a well-established hedonic perspective. The paper’s main results are that, after controlling for the relevant variables, location in front of a beach increases the price of a room in costal hotels of Catalonia by a figure between 13 and 17%, and that a Blue Flag increases the price by around 11.5%. The effects on hotels’ prices of other beach characteristics (such as beach length, width, sand type or beach services) are also estimated. With these estimates, the paper ranks beaches according to their characteristics and provides a setting to assess different policies regarding beaches from the point of view of hotels, such as regeneration, maintenance or achieving a Blue Flag award.     

Big data hedonic pricing: Econometric insights into room rates’ determinants by hotel category

This research uses a big dataset of online prices published on Booking.com by three-, four- and five-star hotels located in Madrid (Spain). Data is broadened by other sources, resulting in a rich set of context-, hotel- and offer-based variables. This research aims to determine the impact of these variables on the online room prices set by one representative sample, featuring the total pricing behaviour as well as per hotel categories. The variables considered, their extent and the insight per category represent a novelty and complement the literature on demand forecasting and hedonic pricing, enabling the improvement of optimisation techniques. The models, based on regression analysis with random effects, reveal a significant impact of the variables on room prices and a clearly distinct behaviour for five-star hotels. This research contributes to the scientific community and practitioners by showing the pricing dynamics behaviour of an important urban destination by star rating.     

An analysis of asymmetry in dynamic pricing of hospitality industry

The paper analyzes the influence of changing tourist arrival on various hotel performance measures related to prices, such as price charges per room, revenue per available room, occupancy rate, and total revenue using price dynamics of Oslo as a case. It also measured whether there is an asymmetric relation between the above performance measures in response to the increase and decrease of tourist arrival. While the presence of a significant long-run relationship between tourist arrival and revenue per available room, capacity utilization, and total revenue has been confirmed, it was found that the price per room does not have such a relationship, and it suggests that the price adjustments are made only on short-run considerations. Another interesting observation is that the magnitude of asymmetric influence is high for revenue per available room and occupancy rate when tourist arrival declines, compared to the corresponding magnitude when tourist arrival increases. These findings indicate that there lies a scope to improve the dynamic pricing model currently being followed.     

Worldwide hedonic prices of subjective characteristics of hostels

An overnight at an accommodation establishment might be understood as a package of several different items. Since they are not traded separately in the market, their values for the consumer are difficult to measure. On the other hand, this information is be useful for managers to develop better strategies regarding the mix of services and facilities of their establishments. Analytical decomposition of total prices by different characteristics can be done through hedonic price techniques. In this paper, hedonic prices are used to analyze the impact of different characteristics on prices of hostels. Accommodation prices of more than 8000 hostels worldwide are explained by their characteristics as rated by guests. Results show that the most relevant characteristics are cleanliness, location and facilities.     

Price placebo effect in hedonic consumption

Given the widespread use of premium pricing strategies as a marketing practice, how consumers evaluate premium pricing actions is an interesting issue for both marketing researchers and practitioners. Thus, the objective of this study was to examine perceptions of premium prices and the role of prices, which act as a cue that improves consumers’ experiences in an upscale café setting. Indeed, the results indicated that both price–quality schema and prestige sensitivity were significant factors that induce a positive overall perception of quality at luxury cafés, including coffee, service, and atmosphere. Thus, this study evidences that a price placebo effect exists in hedonic consumption settings. To better understand consumers’ mental accounting based on their income source, the study examined the moderating effect of the origin of the respondents’ income as well. The results revealed that the price tag generates positive consumer responses to café quality.     

Quality and Pricing in the Hotel Industry

Abstract

Quality is a price determinant in most products. However, establishment of a quality evaluation for the consumer is not an easy proposition. In the hospitality industry, fortunately, room quality evaluation and price information are readily available for consumers from published consumer guides. The Mobil Travel Guide is one of the more popular sources of hotel information available to consumers. The Mobil Travel Guide awards “stars” based on the level of quality their investigators deem appropriate. To investigate the relationship between quality and price in the hospitality industry, this study analyzes hotel managements' pricing behavior before and after a quality rating change by the Mobil Travel Guide. Data is gleaned from the Guide in several provinces and states in Canada and the United States from the relatively stable economic growth period of 1991 through 1999. The results reveal that hotel organizations raised prices before gaining a “star” and lowered prices before losing a “star.” The study concludes with a discussion of the implications of this pricing pattern.     

When quality signals talk: Evidence from the Turin hotel industry

This study analyzes the relationship between quality signals and price setting through the application of hedonic price functions. The model proposals also include variables relating to land use policies and tourism development strategies. A simultaneous equation model endogenously estimates quality signals. This method is appropriate for analyzing emerging urban destinations, as characterized by the presence of an expanding hotel industry. The results are based on a dataset of 145 hotels in Turin, Italy. The empirical findings reveal that reputation-based quality signals help explain tariff levels. Price proposals also include a premium for quality assured hotels, defining some limits of the current hotel classification system. The empirical evidence has significant marketing implications for the hospitality industry’s competitiveness, since the results clarify the impact of quality signals on price level.     

Algarve hotel price determinants: A hedonic pricing model

This study sought to assess customers' willingness to pay for a wide variety of characteristics and attributes of hotels in Portugal's Algarve region. After collecting nearly all the information available on TripAdvisor for hotels in this region, a hedonic pricing model was developed using a database of 9992 cases. The results suggest that – after standardisation – the most important variable shaping Algarve hotel room rates is the previous day's prices. When associated with a family-friendly hotel, star category and services have a greater value than beaches or golf courses do. Customers also appreciate some types of hotels, such as boutique, quaint or trendy hotels, but view others negatively, such as family-friendly or business hotels. Only the specific location of Falesia Beach adds value, although the Algarve is a desirable destination overall. Both destination and hotel managers can use the proposed method to analyse data for their region on customers' propensity to pay.     

Weekend vs. midweek stays: Modelling hotel room rates in a small market

Using a hedonic model, we estimate the willingness to pay for different hotel characteristics for a small market environment. We uniquely collected a data set from a meta-booking engine including their detailed customer review ratings compiled from numerous individual hotel search engines. We argue that meta-search engines are well suited to gather prices to be used in hedonic models. In our estimation, we distinguish hedonic models for single room stays during the week potentially relevant for business travellers and double room stays during the weekend intended for leisure. Important determinants of hotel room prices are popularity ratings (derived from customer reviews), the hotel star rating, weeks of advance booking, and certain hotel characteristics such as express checkout, room service, or Internet access. A number of important characteristics such as wellness offers or wireless Internet in the rooms are insignificant pointing to the conclusion that these may be regarded as standard attributes and do not fetch additional economic value in terms of higher consumer willingness to pay.