Multivariate models of hotel occupancy performance and their implications for hotel marketing

Multivariate models are developed to explain the differential occupancy performance of a sample of 279 English hotels. Following a procedure established in an earlier paper, hotels are first differentiated on the basis of their overall occupancy performance, seasonality, long‐term trend and length of season. Regression models are specified and calibrated to relate each of these dimensions of occupancy performance to the location and other characteristics of the hotels. The four models produce the expected positions of hotels in ‘occupancy performance space’, against which their observed positions can be compared. The application of the models in hotel marketing is discussed and demonstrated. Copyright © 2001 John Wiley & Sons, Ltd.     

Business performance of airports: Non-aviation revenues and their determinants

Management of non-core commercial activities has become a key issue amongst the leverages for improving modern airport industry. Today airports have increased dramatically their dependence on non-aeronautical revenues, which on average account for half of all revenues with this share being highly heterogeneous across regions and airports. Using a dataset of German airports, this paper discusses the improvement of commercial revenues by exploring its determinants. Previous contributions assessed the impact of a selected set of variables non-aviation revenues. Such approach was mainly the effect of multicollinearity, as the majority of relevant variables are strongly correlated to the size of the structures. We address this issue by using ridge regression and partial least squares. Results suggest the potential conflict of non-aviation revenues per passenger and per square meter with the need to expand the number of passengers.     

An integration of the multi-component DEA and GAR models to the measurement of hotel performance

The aim of this paper is to identify how well each hotel performs in each of its room and food and beverage divisions. To this end, this paper develops a multi-component data envelopment analysis/global assurance region (MDEA/GAR) model to fully gauge hotel performance where each hotel has its specific inputs and outputs for both divisions as well as shared inputs and common outputs between the two divisions. The application shows how the MDEA/GAR model can incorporate preferable hotels among the efficient ones with higher profit earning ratios when evaluating hotel performance. The results show that members of international chain-managed hotels perform significantly better than local chain-managed and independently managed hotels.     

The moderating effect of safety image on Guests' perceived risk and revisit intentions in luxury hotels

This study explores the relationship between perceived risk and intention to revisit, based on four core dimensions of the subjectively perceived risk of luxury hotel guests to hotel safety image. In particular, this study innovatively uses the four dimensions of hotel safety image as moderating variables to explore how the relationship between perceived risk and intention to revisit is affected. The results from the 573 valid questionnaires show that perceived risk has significant negative effects on revisit intention, hygiene control significantly and negatively moderates the negative relationship between perceived risk and revisit intention, and self-service technology significantly and positively moderates the negative relationship between perceived risk and revisit intention. These results complement the application of customer perceived risk and hotel safety image in luxury hotels in the context of natural disasters and provide hotel managers with new perspectives on marketing and decision making and how to improve competitiveness.     

Influences on the perceived value of medical travel: the moderating roles of risk attitude,self-esteem and word-of-mouth

This study aims to discover the influential factors and critical moderators that can enhance the perceived value that international tourists feel towards medical travel. A total of 259 international tourists were surveyed using questionnaires. The results were analysed using structural equation modelling, and the findings are as follows. Firstly, hospital elements, such as service quality, hospital credibility and hospital image, all influence the perceived value of medical travel. Moreover, the results also confirmed the positive moderating effects of personal-factors (risk attitude and self-esteem) and an external factor (word-of-mouth), which can increase the influences of these hospital elements on the perceived value of medical travel.