A review of the literature on culture in hotel management research: What is the future?

This paper aims to provide insights into the development of research on culture in the hotel industry by reviewing the existing literature. A total of 107 journal articles published between 1985 and 2010 were retrieved from 12 refereed journals, all of which could be accessed online. The papers were categorized into six major groups according to Pizam's (1993) hierarchy of cultures, and were further sorted by year of publication, source, subject area, region of focus, and the nature of the research. National culture, organizational culture, and cross-cultural comparison were found to be the most popular research topics. In contrast, few studies have investigated industry, occupational, and corporate cultures in association with hotel management studies, prompting concern for future research. In summary, this review paper offers a first and important attempt to understand the development of research on culture in the hotel management field and identifies future research opportunities.     

Predicting Hotel Choice Decisions and Segmenting Hotel Consumers: A Comparative Assessment of a Recent Consumer Based Approach

Abstract

Given the intensified competition to attract today's increasingly discerning hotel guests, it is vital for hotel managers to understand the set or bundle of hotel attributes which are demanded by the potential traveler. Unfortunately, marketing research in hotels is still mainly confined to the analysis of guest-related data collected during registration or from guest comment cards. These data, however, have little merit as predictors of customer behaviour and cannot answer the “what if” questions. In recent and past research in hospitality and tourism, researchers have demonstrated the use of product attributes in predicting consumer preferences and segmenting markets (Bell and Morey 1997; Kim 1996). In undertaking this approach to behavioral study, many researchers in the field have been attracted to use conjoint attribute part-worths, (the judgmentally quantified attribute valuesderived from conjoint modeling. This study attempts to utilize the compositional self-explication model as a reference model to assess the comparative superiority of the conjoint model in predicting client preferences among travelers to Hong Kong. It also seeks to reveal subgroup preference variations by using two segmentation approaches. The overall finding indicated that the most important hotel attribute sought by all respondents is Room Rate, followed by Star Rating, Location, Brand and Room Type. In terms of market segments, the results revealed similar preference profiles among leisure, short-haul and infrequent travelers as one group and business, long-haul and frequent travelers as another.     

The role of generativity and attitudes on employees home and workplace water and energy saving behaviours

Building on prior studies in environmental behaviour and employee micro level CSR, this paper examines the role of generativity, encompassing thoughts towards the well-being of future generations and contribution to future society, and specific environmental attitudes on environmental behaviour in the home and workplace. The paper examines the relationships between these variables, including assessing spillover effects between home and workplace environmental behaviour via a quantitative survey methodology, within the hospitality industry in Iran. Analysis using PLS found generativity to be important in determining attitudes and, in turn, environmental behaviour both in the workplace and the home. However, a spillover effect between home and workplace behaviours was not found. Thus, this research adds to the limited literature on CSR at the micro employee level in tourism studies and highlights the effects of generativity on home and workplace behaviours, as well as potential directions for internal social marketing campaigns within tourism organisations.     

What is the optimal number of hotel rooms: Spain as a case study

The main contribution of the paper is that it proposes a well-defined model and an empirical estimation technique for determining an optimal targeted number of incoming tourists and for getting as close as possible to this target by controlling variables that are affected by tourism authorities policies. We assume that the planner wishes to minimize the gap between the actual and the optimal number of tourists in order to get as close as possible to the optimally desired number. The actual number of tourists from each country is affected by the cost of travel as well as by exogenous variables. We constructed a system of two simultaneous equations, where the number of tourists and the cost of travel are the endogenous variables. We estimated the system for incoming tourism to Spain from various countries and forecasted the actual number of incoming tourists. Using the forecasted equation we were able to extract the optimal number of rooms needed in order to get as close as we could to the desired number of tourists.After defining several targeted levels for the number of incoming tourists to Spain from Canada, Japan, Belgium, The Netherland, US, Italy, France, Germany and UK, we extracted the optimal number of needed hotel rooms in order to get as close as possible to the targets.This paper is important since it provide a tool for the decision makers to effect the number of incoming tourists by changing the level of variables that are under the control of the decision maker.     

Survival in the lodging sector: An analysis at the firm and location levels

this paper studies the determinants of survival of 6494 Spanish hotel firms located in 97 national tourist destinations in the period 2005–2011. The characteristics of the firms and the tourist destinations where they are located have been studied through survival analysis techniques. This is relevant because the impact of the financial and economic crisis on the Spanish lodging sector has shown different effects among tourist destinations. The results confirm that the location significantly affects the probability of survival. In particular, the main determinant of firm survival is the level of occupancy in a tourist destination which has a positive effect. Also, we have found that a low level of competition reduces the average expected survival while the average profitability of a tourist destination has a positive effect on firm survival. Finally, the total effect related to destinations factors can reduce the expected survival by up to 90% (hazard ratio).     

Product diversification and property performance in the urban lodging market: The relationship and its moderators

In this study, we investigate the relationship between product diversification and hotel property performance as well as the moderators of this relationship in the urban lodging market. Using stochastic frontier analysis with panel data, we calibrate the efficiency scores of 377 urban hotels in Beijing from 1994 to 2005. We then investigate the impact of product diversification on performance as measured by efficiency score. Results from panel data models indicate that the degree of product diversification exhibits a positive relationship with hotel performance. Hotel location, diversification expansion rate, and foreign ownership/operation are found to be significant moderating factors determining the effect of product diversification. Specifically, hotels that (a) are located farther from the city center, (b) expand diversification more slowly, and (c) are domestically owned are more likely to leverage the benefits stemming from product diversification. We provide a series of practical evaluation modules to help hoteliers improve performance.     

A gravity model of foreign direct investment in the hospitality industry

This paper investigates the determinants of FDI activity in the hospitality industry using a gravity model. It draws on a new and unique database of 2420 FDI projects carried out by 50 parent countries in 104 host countries from 2005 to 2011. Results show that the number of hotel FDI projects is significantly and positively related to the market size and the existence of a common language while increases in the level of business regulations, tax rates or minimum wages have the opposite effect. Geographical distance and socioeconomic factors are not relevant. Comparing the number of predicted FDI projects with those actually carried out, we find that the United Kingdom, India, and Mexico are particularly successful in attracting hotel FDI projects, whereas Russia, Germany, and the United States host much fewer.     

Effects of the Booking.com scoring system

Booking.com provides a large travellers’ reviews database that is useful for consumers, hoteliers and academics. Recent research discovered unexpected peculiarities in its scoring system, suggesting it could lead to “inflated scores” for hotels on their website. To confirm the above suspicions, the methodology used in this paper compares values assigned on Booking.com with those on Priceline that have a conventional scoring system. Conclusions show significant distortions, particularly in hotels with low and medium scores.     

Relationship between customer sentiment and online customer ratings for hotels - An empirical analysis

This study aims to establish a relationship between customer sentiments in online reviews and customer ratings for hotels. Customer sentiment refers to the emotions expressed by customers through the text reviews. These sentiments can be positive, negative or neutral. The study explores customer sentiments and expresses them in terms of customer sentiment polarity. Our results find consistency between customer ratings and actual customer feelings across hotels belonging to the two categories of premium and budget. Customer sentiment polarity explains significant variation in customer ratings across both the hotel categories. With regard to managerial implications, the study finds that, when compared with premium hotels, managers of budget hotels should improve their staff performance and hotel services. The present study is not exhaustive and other factors like customer review length and review title sentiment can be analyzed for their effects on customer ratings.     

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.