Hotel roomrates under the influence of a large event: The Oktoberfest in Munich 2012

Surprisingly few studies deal with the implications of large events for hotel prices. We address this issue by modeling hotel prices in Munich under the influence of the Oktoberfest. By utilizing internet data from a metasearch provider for check-in dates prior to and during the Oktoberfest 2012, it is analyzed how the event affected the daily price level as well as price differentials between hotels. In general, average hotel prices are very volatile over time. Apparently, Munich hotels tend to set prices according to expected demand and vary those depending on the day of the week during the event. Ceteris paribus, roomrates are highest on Oktoberfest Friday and Saturday nights, followed by Oktoberfest weekdays and Oktoberfest Sunday nights, but there is a general and strong price-raising impact. Prices differ across hotels mainly due to the star category attributed to a hotel and the proximity to the event. Both price premia are time-dependent.     

Staff turnover costs: In search of accountability

The nature of staff turnover accounting procedures in a labour intensive context has been examined by conducting interviews with twenty eight managers in large three to five star hotels and two theme parks. It was found that the main staff turnover accountability procedures adopted involve monthly departmental reporting of staff turnover percentage levels and also the conduct of exit interviews. A degree of staff turnover costing was noted, although this practice was not extensively applied. Most interviewees supported the notion of allocating staff turnover costs to those operating departments experiencing the turnover. A muted form of this practice was observed in one hotel, however most interviewees had never contemplated or heard of the practice. Agency theory has been utilized as a framework for structuring a range of observed and potential staff turnover accountability relationships.     

Modelling growth and revenue for Swedish hotel establishments

This paper provides first estimates of the determinants of output growth of Swedish hotels based on establishment data. Growth of overnight stays is modelled as a function of initial size, age, type of accommodation, location and hotel prices measured as average revenues per guest nights. The empirical model accounts for potential endogeneity of hotel prices through the two-stage least absolute deviation model (2SLAD) and the instrumental variable quantile regression method. 2SLAD estimates show a positive and significant relationship between hotel prices and subsequent growth. The relationship is nonlinear with a decreasing impact as the price level increases. Growth of establishments is significantly higher for smaller and younger hotels. An important result is that city hotels, in comparison to tourist and other hotels – which are mainly located outside urban areas (in the mountains and at the sea) – exhibit significantly higher growth rates with a gap between 2.2 and 3.4 percentage points. Furthermore, the positive impact of hotel prices on growth is larger for high-growth establishments. Accommodation prices significantly decrease with the number of local competitors with a non-linear form and increase with size. City hotels and accommodation in the capital city have the highest revenues per guest night.     

Hotel attribute performance,eWOM motivations,and media choice

The objectives of this study are to match the motivations for posting about hotel experiences with the online media chosen and to identify the electronic word-of-mouth (eWOM) motivations that are affected by hotel attribute performance. The results show that altruism and platform assistance motivations were positively correlated with consumer opinion sites. Extraversion, social benefits, and dissonance reduction were positively correlated with social network sites. Economic incentives did not improve the likelihood of posting eWOM on consumer opinion sites but reduced the likelihood of posting on social network sites. Finally, hotel attribute performance had a significant effect only on extraversion and dissonance reduction motivations.     

Importance Performance Competitor Analysis (IPCA): A study of hospitality companies

Although Importance Performance Analysis (IPA) is a popularly used method in many research areas, academics mainly criticise it because of its relative structure and lack of consideration of competitors. In the present study, the author proposes an extended version of IPA, which is called Importance Performance Competitor Analysis (IPCA), to address these shortcomings. The proposed method considers the GAP score, which is obtained by the comparison of an attribute’s importance and the focal company’s performance in the same attribute. Moreover, it uses focal and competing companies’ performance differences score. IPCA offers different strategies for each attribute depending on the quadrant that it is positioned in. Absolute structure and consideration of competitors are the advantages of IPCA. Another characteristic of the IPCA is its simplicity, like IPA, there is no necessity to have advanced level statistical knowledge.     

Responding to the bed bug crisis in social media

The increasing trend in social media changes the landscape of crisis communication and thus, calls for innovation in hotel crisis management practices. This research examined how New York City hotels responded to recent issues surrounding the bed bug crisis on the social media site TripAdviosr. This study adopted a mixed methods research design. The quantitative findings revealed that hotels’ response behaviors were associated with organizational factors (e.g. hotel's popularity, average rating, and star rating) and the rating of online reviews. The qualitative findings indicated that hotels employed various types of strategies in the response, which were dominated by strategies of bolstering and enhancing. In conclusion, this study addressed the need for a proactive approach in hotel crisis management and provided practical implications.     

Do online hotel rating schemes influence booking behaviors?

Travelers’ hotel booking behaviors increasingly depend on peers' opinions and online ratings. This study investigates the effects of online hotel ratings on travelers' attitudes toward the hotel and booking intentions, using a 2 × 2 experimental research design. The results suggest that online rating lists are more useful and credible when published by well-known online travel communities (e.g., TripAdvisor). More favorable attitudes toward a hotel and higher booking intentions emerge when the hotel appears in best hotels lists. Finally, for the entries on best hotels lists, better attitudes and higher booking intentions result if the list is published on a well-known online travel community (Tripadvisor), whereas for entries on a worst hotel list, attitudes and booking intentions decrease even further if the list appears on TripAdvisor.     

Inbound Travelers' Selection Criteria for Hotel Spas in Hong Kong

With a growing number of travelers enjoying spa experiences, it is vital that hotels understand their preferences. As Hong Kong has a high visitor inflow and is in the preliminary stages of hotel spa development, an examination of the selection criteria used by inbound travelers when choosing hotel spas should provide Hong Kong hoteliers with the information needed to further develop and refine their facilities. This study examines the selection criteria that inbound travelers use to gain insight into how demographic factors and travel characteristics affect their spa-related decisions. A measuring instrument was developed based on in-depth interviews of spa industry professionals and secondary data. The results reveal that relaxation, pampering, and beautification were the main reasons that people visited hotel spas; with the three most important major selection dimensions being therapists, price, and product and treatment types. Of the 28 selection criteria studied, professional skills, product and service knowledge, sense of privacy, range of facilities, and product branding were the most important attributes. The implications of these findings and directions for future research are discussed here.     

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.     

How locus of control shapes intention to reuse mobile apps for making hotel reservations: Evidence from chinese consumers

This study unveils the cognitive mechanism that locus of control (LOC) dimensions (internal control, chance control, and control by powerful others) predict intention to reuse mobile apps for making hotel reservations. The predictions are assumed through the unified theory of acceptance and use of technology (UTAUT) anchors and perceived risk. Drawn from an online survey with 457 Chinese participants, results show direct positive predictions of intention to reuse from UTAUT anchors including performance expectancy, effort expectancy, social influence, and facilitating conditions. Perceived risk also negatively predicts intention. Effort expectancy mediates the links between internal/chance control and intention, whereas perceived risk mediates only the latter link. Facilitating conditions mediate the relationship between control by powerful others and intention. This study contributes to existing research by distinguishing the mechanisms that underpin LOC dimensions and technology re-adoption. Practitioners are recommended to improve booking apps by addressing the concerns of users with different LOC.