The impact of perceived benefits and risks on current and desired levels of outsourcing: Hotel managers’ perspective

The purpose of this paper was to investigate the interactions between perceived benefits and risks of outsourcing and outsourcing adoption from the hoteliers’ perspective. Data were collected from 123 hotels in Egypt using a list of 32 hotel activities. Results revealed that managers’ perceived benefits of outsourcing had a direct positive effect on the current level of outsourcing, while indirect effects on the desired level of outsourcing. Interestingly, results confirmed the mediating role of current outsourcing between managers’ perceived benefits and the desired outsourcing. However, the perceived risks of outsourcing had a nonsignificant moderating effect. The findings provide implications for both theory and practice.     

Online upselling: Moving beyond offline upselling in the hotel industry

The purpose of this study is to understand how online upselling is used in the hotel industry as a part of revenue management strategy. This study used a convergent parallel mixed method design where qualitative and quantitative data were collected in parallel, analyzed separately, and then merged. Study 1 took a qualitative approach, exploring how online upselling programs can provide additional value over offline upselling and traditional revenue management practices. Study 2 adopted a quantitative approach to analyze customers’ bidding patterns for superior room categories through secondary data. Findings indicate that an omni-channel approach to upselling can tackle the fragmented nature of multichannel upselling communications to provide customers with consistent information and experience across these channels. Through an omni-channel approach, the hotel industry can develop personalized and streamlined upselling strategies.     

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.     

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.