Identification of the reactions of hotel managers to new competition

This paper arises out of research carried out recently on the impact of a new hotel on the other hotel businesses which are operating in the same market. To ascertain the possible reactions of hotel managers to new competition and the relative importance of alternative price and non-price strategies a postal survey of 250 three-and four-star graded hotels across the U.K. was undertaken. It was found that a change in published tariff rates is regarded as being relatively unimportant whilst sales promotion is given the highest priority. Disaggregation of the sample by hotel size and occupancy rates does not reveal any significant changes in the relative importance of possible strategies. While the survey indicates that both non-price and price competitive strategies are seen by managers as essentially complementary, nevertheless, price competition in the form of secret discounting of published room rates to mass market intermediaries (tour operators and travel agents) and corporations is particularly important. While price discounting is the ‘private’ face of hotel competition much more research is needed on both the ‘public’ and ‘private’ nature of competition in the hotel industry and how these inter-link.     

The impact of online user reviews on hotel room sales

Despite hospitality and tourism researchers’ recent attempts on examining different aspects of online word-of-mouth [WOM], its impact on hotel sales remains largely unknown in the existing literature. To fill this void, we conduct a study to empirically investigate the impact of online consumer-generated reviews on hotel room sales. Utilizing data collected from the largest travel website in China, we develop a fixed effect log-linear regression model to assess the influence of online reviews on the number of hotel room bookings. Our results indicate a significant relationship between online consumer reviews and business performance of hotels.     

The response of hotel performance to international tourism development and crisis events

This study uses panel regression tests to examine the response of hotel performance to international tourism development and crisis events in Taiwan. Hotel performance measures are revenue (revenue per available room and occupancy rate), profitability (return on assets and return on equity) and stock performance. The crises were the earthquake on September 21, 1999 (the 9/21 earthquake), the terrorist attacks of September 11, 2001 in the US (the 9/11 terrorist attacks) and the outbreak of Severe Acute Respiratory Syndrome on April 22, 2003 (the SARS outbreak). This study makes four major contributions. First, test results confirm that international tourism development (ITD), proxied by the growth of total inbound tourist arrivals, has a more direct influence on hotel sales and profitability than it does on hotel stock performance. Second, this study identifies that the absence of a strong tie between ITD and hotel stock returns that was found in previous studies is due to the time-varying discount rate caused by investors’ changing expectations for the prospect of future cash flows from holding hotel stocks. Third, this study finds new evidence that while the poor performance of hotel stocks caused by the 9/21 earthquake and the 9/11 terrorist attacks was attributed to the loss of hotel sales revenue, the adverse effect of the SARS outbreak on hotel stock returns is attributed not only to decreased hotel sales revenue but also to the increased discount rate. Lastly, this study is the first to investigate whether the response of hotel stock returns to ITD depends on the state of economy and concludes that the response of hotel stock performance to ITD in business cycle contraction is statistically different from that in business cycle expansion. Further, although the influence of ITD on hotel stock performance is still irrelevant during expansion periods, ITD can significantly enhance hotel stock returns during contraction periods.     

The managerial flash sales dash: Is there advantage or disadvantage at the finish line?

The central intent of this qualitative inquiry is to investigate the benefits, drawbacks, and performance measures of hotel room inventory distribution via flash sales websites. Key advantages and disadvantages of using such a distribution channel fall within the categories of inventory management, revenue management, brand marketing, customer relationships, and operational challenges. The significance of the study is in providing a comprehensive review of the flash sales phenomenon in the lodging industry that may assist hotel managers with the performance evaluation of this distribution channel. Using grounded theory methodology, a flash sales evaluation framework was developed based on 46 phone interviews with hotel managers from different segments of the American hotel industry.     

Relationship between customer complaint behavior and demographic characteristics: A study of hotel restaurants' patrons

This study documented customer complaint behavior in hotel restaurants in Deadwood, USA, and examined the relationship between complaint behavior and demographic characteristics. The sample consisted of 250 hotel restaurant customers. It was found that the hotel restaurant customers tended to complain privately rather than taking public actions. Older, well-educated, customers with higher incomes tended to take private action to complain about their dissatisfaction more than younger, less educated customers with lower incomes. Based on results of the study, implications were suggested for industry practitioners to diminish the negative impact of complaint on hotel restaurants.     

Effect of monumental heritage sites on hotel room pricing

This study measures the effect of historic monuments on hotel room pricing in Seville, Spain. A hedonic model including classic explanatory variables and the city’s heritage site was specified to explain hotel room rates. Variables related with heritage sites were determined to explain room rates and an iso-values map was obtained for the rates of a ‘standard hotel’ to show the impact of historic buildings on hotel rates. The maps display the area of influence of the heritage site. These results may be of interest to entrepreneurs, consumers, or the administration, among others, due to it permits them to determine which location maximizes rates.     

The determinants of hotel room rates: Another visit with Singapore's data

In this research note, volatility clustering modeling framework is used to examine the determinants of hotel room rates in Singapore. Using monthly data from January 1985 to June 2009, GARCH-M(1, 1) is identified as the appropriate model used to capture volatility clustering. The results suggest that total inbound tourists and economic performance have positive effects on hotel room rates. The main findings are (a) the occurrences of terrorist activities in the neighboring countries have negative impacts and (b) the volatility of hotel room rates has a positive effect, on hotel room rates.     

The Channel That Offers the Lowest Online Room Rates: A Case Study of Hotels in Hong Kong

Online distribution channels increasingly serve as platforms hotels can use to offer competitive room rates to attract price-sensitive customers and maximize yield. Capturing the lowest and highest daily room rates over a 360-day period from five of the most popular online travel agencies, and two batches of data showing the lowest room rates over 28 days from a last-minute bookings website, this study compares the lowest prices offered. The results indicate that no single online channel outperforms the others in any of the hotel star-rating categories, and that the last-minute reservation service provides the lowest hotel room rate across different star ratings.     

Globalization or localization of consumer preferences: The case of hotel room booking

The purpose of this study is to investigate potential differences in attitudes between Chinese and Western tourists towards various hotel room reservation policies. The study is meant to help the revenue managers of international hotel companies make informed choices on whether to pursue a globalized or a localized approach in the design of hotel room rates and rate restrictions. Three ranges of room prices and four types of rate restrictions are evaluated. The rate restriction policies considered are: a) rule type, b) advance requirement, c) refundability, and d) changes allowed. The results of customer surveys show that the Chinese and Western respondents do not express significantly different preferences concerning room rates, advance requirement, rule type, or refundability. They differ significantly only concerning the changes allowed policy. This result indicates that revenue managers of international hotel companies can take a globalized approach in designing rate restrictions. The identification of these customer preferences provides hotel revenue managers with empirical data on the attitudes of culturally diverse consumers, and this information can enable the design of hotel pricing policies that attract consumers in the global market.     

Students’ expectations,experiences, and career direction after in-house internship: the pedagogical role of the hotel training center in Thailand

This study investigates the in-house internship of the hotel training center in Thailand, with two specific objectives: (1) to investigate the expectation of students prior to taking internship and compare it with their perception after taking the internship and (2) to explore experiences and skills gained by student interns and the influence of in-house internship on students’ choice of job after graduation. This study employs a qualitative methodology through content analysis to extract meaning from the students’ opinions derived from the focus group interview and the narrative writing of the short open-ended questions. The results from the study demonstrate the crucial role of compulsory in-house internship within the Tourism and Hospitality Management curriculum. The study also confirms that in-house internship can equip and prepare students for the real internship experience within the hotel industry and it also sheds light on the pedagogical role of the in-house internship in the tourism and hospitality curriculum.     

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.     

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.     

Market demand variations,room capacity,and optimal hotel room rates

This short note develops an optimal hotel room rate model and proposes optimal room rate strategies in both high and low seasons. We then examine our model with the data from tourist hotels in Taipei, Taiwan. The empirical results support our model's major predictions: (1) market demand variations significantly affect the difference between high season and low season optimal room rates; and (2) hotel's room capacity negatively affect the difference between high season and low season optimal room rates, which also means that fixed costs shall negatively affect the high season optimal room rate. This result contradicts with conventional wisdom.     

Measurement of Satisfaction with ICT Services Implementation and Innovation in Restaurants (Case Study: Isfahan,Iran)

Nowadays, Restaurant is one of the most important factors in the choice of holiday destinations for tourists and contributes to the development of the local economy. This research is an initial attempt to investigate consumer behavior (tourist behavior) and the attitude of restaurant managers to the application of innovation and information and communication technology (ICT) in hotel restaurants. On the basis of the results of this study it can be concluded that tourists and restaurant managers in the city of Isfahan are interested in exploiting the application of innovation and ICT in hotel restaurants.     

Agency problems and hotel appraisal accuracy An exploratory study

The purpose of this paper is to examine agency problems in the hotel appraisal process. The results support the notion that information asymmetry and moral hazard had significant effects on appraised hotel values. The paper examines the differences between appraised hotel values and their sales prices and finds that agency problems help explain the differences. T-tests are used to show that appraised values are significantly less than sales prices during a period of significant information asymmetry surrounding the Tax Reform Act of 1986. Conversely, appraised values are significantly greater than the sales prices during the late 1980s, a period encompassing moral hazard problems for commercial lenders. Three ordinary least-squares regression models are used with time period and lender type as independent variables to explain these differences. Both variables are found to be highly significant in the full regression model.     

Money illusion and inflation management in tourism: The hotel industry case

Using regression analysis, this study examines the relationship between inflation, room rates, capacity utilization, and profitability in the hotel industry. The results show that room rates and nominal profits have been strongly related to inflation while occupancy rates and real profits have been independent of inflation over the twenty year period examined. Findings suggest general absence of money illusion implying effective inflation management policies.     

Effect of Price Change Alert on Perceptions of Hotel Attribute-based Room Pricing (ABP) versus Traditional Room Pricing (TRP)

Aside from marketing information on traditional room rates, hotels and online travel agents (OTAs) are trying a new pricing technique based on the attributes of guestrooms. This research investigates how attribute-based room pricing (ABP) differs from traditional room pricing (TRP) in influencing consumer reactions when consumers receive a price change alert before (vs. after) sales. Through a series of experiments, we found that TRP and ABP result in similar alert attitude, brand attitude, and visit intention for presale price change alert. However, ABP leads to more favorable results for postsale price change alert. We examined the underlying mechanism and found that perceived fairness mediates the effect of pricing strategy on brand attitude, price alert attitude, and visit intention for postsale alert only. This research provides hotel managers and OTA marketers with guidance on when to send either type of price change message to consumers.     

Investigating the whole picture: Comparing the effects of Airbnb supply and hotel supply on hotel performance across the United States

This study examines and compares the extent to which Airbnb and hotel supply affect key hotel performance measures in the United States. The results show that although both Airbnb and hotel supply adversely affect hotel revenues (i.e., RevPAR), the magnitude of the impact of hotel supply on RevPAR is much larger than that of Airbnb. Airbnb adversely affects hotel room prices (i.e., ADR), however; it does not affect occupancy rates (i.e., OCC). Yet, increasing hotel supply negatively affects OCC but not ADR. The results from the state-level analyses further showed that the negative effects of Airbnb and hotel supply on RevPAR, ADR and OCC persist only in states with high hotel supply. Analyzing the joint effects of Airbnb and hotel supply on hotel performance in a manner that is both geographically-comprehensive and spatially-meaningful, this study provides a more complete and nuanced understanding on the economic dynamics of the accommodation industry.     

A quantile regression analysis of tourism market growth effect on the hotel industry

This study used the quantile regression method to investigate how inbound tourism market growth proxied by the growth rate of total foreign tourist arrivals (GTA) affects the growth rate of sales (GS) and financial performance of hotel firms in Taiwan. The ordinary least squares estimation results of panel regression test revealed that GTA significantly affects GS, but has no significant effect on financial performance (proxied by hotel equity return). However, quantile regression tests revealed new and interesting results. GTA has a significant effect on GS at the different quantiles of GS. In comparison, although hotel equity return was not significantly related to GTA at the median and high quantiles, the effect of GTA on hotel equity return was statistically significant at the low quantiles. These results suggest that the effect of GTA on hotel equity return is asymmetric and state-dependent, conditional on the distributions of hotel equity return. The study further identified that GTA has a significant influence only on equity returns of hotels with a small size.