Gazing at hotel guests: Deconstructing elements of the host-gaze

This study identifies key elements of the so-called host-gaze by investigating how Hong Kong hotel employees view guests emanating from a key source market - India. Front office and housekeeping staff evaluated their interactions with guests, particularly in the case of those from India. The researchers identified four elements of the host “gaze”, namely: (1) Initial Gaze; (2) Communication Gaze; (3) Customer Behavior Gaze and (4) Distinguishing Gaze. The authors reveal that though the gaze empowers employees to exercise control over their behaviors, manipulative behaviors increase the likelihood of workplace deviance. Drawing on the principles of emotional labor, the researchers affirm the importance of cultural and emotional intelligence for the professional demeanor and development of hospitality employees.     

An investigation of the moderating effects of current job position level and hotel work experience between technology readiness and technology acceptance

Rapid technology development has greatly changed the hotel structure in operation or customer relationship management. Most previous studies simply employed either the technology readiness index (TRI) or considered the technology acceptance model (TAM) to predict consumer behavior from the perceptions of consumers. Nonetheless, only limited studies, if ever any, integrated technology readiness (TR) into technology acceptance model in hospitality. Hence, to bridge the aforementioned research gap, the purpose of the present study is to advance and modify TAM by proposing a new research framework which integrates TR into TAM. Online questionnaire survey was conducted with hotel employees through a well-known survey company Qualtrics. Data were then analyzed by structural equation modelling. Findings indicate the direct relationship between technology readiness (TR) and technology acceptance (TA), and reveal the moderating effects of current job position level and hotel work experience on the proposed research framework. Implications are further discussed.     

A fad or the future? Examining the effectiveness of virtual reality advertising in the hotel industry

New virtual reality technology presents hotels with wide-ranging marketing, training, and customer service opportunities. The purpose of this study was to explore both the immediate and delayed effects of hotel VR commercials as compared to traditional video commercials. Based on the perceptual load theory and elaboration likelihood model, this study designed and conducted a 2 × 2 laboratory experiment with two stages of data collection. The study demonstrated that VR commercials produced better immediate effects than the traditional commercials, especially for participants with high elaboration likelihood levels. However, the findings also revealed significant decreases in purchase intention among participants watching VR commercials and a significant improvement in attitudes among participants watching traditional commercials. Both theoretical and practical implications were discussed to leverage the power of VR in marketing.     

Do consumers care about CSR in their online reviews? An empirical analysis

This research investigates how consumers assess hotels’ corporate social responsibility (CSR) practices when writing online reviews. The study explores the CSR discourse in online reviews over a 10-year period, highlighting how CSR’s social and environmental dimensions relate to the main hospitality topics (experience, amenities, location, transactions, value). Based on a longitudinal automated text analysis covering 480,000 reviews across six European cities, the findings reveal that hotel customers have gradually begun paying more attention to CSR factors, particularly to social and environmental ones. However, the aggregate results suggest that the overall CSR consumer discourse is still very limited, although it does have important implications in terms of consumer emotions and hospitality dimensions.     

The effects of choice set size and information filtering mechanisms on online hotel booking

Online booking is one of the most popular ways of making reservations for hotel guests. Thus, hoteliers are paying increasing attention to hotel website information presentation and design. The purpose of this study, then, is to examine the joint influence of choice set size and information filtering mechanisms on consumers’ decision confidence towards online hotel booking. Choice set size was operationalized through 3-, 9-, and 30-hotel room choice sets. Through experimental design, this study shows that the presence of an information filtering mechanism reduces consumers’ perceptions of choice overload with a large number of choices (30 choices), whereas its impact is attenuated with smaller choice sets (3 and 9 choices). In addition, choice overload mediates the impact of choice set size on decision confidence. Theoretical contribution and managerial implications are also discussed.     

Free add-on services and perceived value in competitive environments: Evidence from online hotel reviews

This study investigates how free add-on services affect customers’ perceived value in horizontal and vertical competition. We collected 349,879 reviews about over 3000 hotels in 25 U.S. cities from TripAdvisor. Using three balanced data sets generated by coarsened exact matching, the ordered logistic regressions show that free hotel add-on services (including free breakfast, parking, and WiFi) positively affect consumers’ perceived value. However, increased horizontal and vertical competition differentially weakens the positive effects of free add-on services. We not only observe a negative moderating effect of horizontal competition, but also identify three patterns of the marginal effects of these three add-ons in horizontal competition. The moderating effect of vertical competition exists from the higher-grade hotel segment to a lower-grade hotel, but such an effect is insignificant from the lower-grade hotel segment to a higher-grade hotel. Therefore, hotel managers should consider diverse external competitive environments and design appropriate differentiated service strategies.     

Using machine learning and big data for efficient forecasting of hotel booking cancellations

Cancellations are a key aspect of hotel revenue management because of their impact on room reservation systems. In fact, very little is known about the reasons that lead customers to cancel, or how it can be avoided. The aim of this paper is to propose a means of enabling the forecasting of hotel booking cancellations using only 13 independent variables, a reduced number in comparison with related research in the area, which in addition coincide with those that are most often requested by customers when they place a reservation. For this matter, machine-learning techniques, among other artificial neural networks optimised with genetic algorithms were applied achieving a cancellation rate of up to 98%. The proposed methodology allows us not only to know about cancellation rates, but also to identify which customer is likely to cancel. This approach would mean organisations could strengthen their action protocols regarding tourist arrivals.     

Dynamic efficiency assessment of the Chinese hotel industry

The paper introduces for the first time a totally dynamic two-stage approach to analyzing the hotel industry's technical efficiency at the sub-national level. The first stage uses data envelopment window analysis (DEWA) to assess regional hotel sectors' technical efficiency over time. Unlike previous studies, the second stage uses a dynamic Tobit model to investigate the impact of macro contextual factors on the hotel sector efficiency. The study chooses the Chinese hotel industry during the period 2001-2006 as its application setting. The findings of the investigation indicate that the Chinese hotel industry is approaching an efficient operation in general, recovering from a major dip in 2003 resulting from the Severe Acute Respiratory Syndrome (SARS) outbreak. In addition, the study introduces a novel two-dimensional efficiency-based matrix to assess the competitive advantage of different regions of the Chinese hotel sector. The paper presents strategic market implications for hoteliers, government decision-makers, and destination management organizations. The proposed methods are applicable for situations in which an exogenous event of a destabilizing impact (e.g., SARS) does occur.     

许昌主题酒店的主题选择及建设

主题酒店是未来酒店业发展的趋势之一。许昌历史悠久,文化厚重。在探讨了许昌建设主题酒店的必要性的基础上,分析了许昌主题酒店建设中可选择的三个主题:三国文化主题包括曹魏文化主题和关羽文化主题;花卉文化主题;钧瓷文化主题。最后从酒店的规模、选址和软件的建设等几个方面对这三个方面主题酒店建设应该注意的问题进行了概括。     

三国两晋南北朝时期旅店的沿革

本文在三国两晋南北朝的时代背景下,从政治、经济、文化角度阐述了该时期旅店的渐进发展历程,揭示了其中的发展规律.