Sampling method for monitoring the alternative accommodation market

Tourism is an extremely competitive industry where effective destination management is necessary to compete. One of the main destination management stakeholders is the hotel industry. Since the advent of the Internet websites that facilitate the sharing economy, the hotel industry has had to compete with an alternative accommodation market. This alternative market is difficult to monitor as there is no official data. Current research works on developing methods for calculating tourism metrics for a destination based on digital footprint with the objective of offering figures to complement official statistics. The objective of our research is to develop a method to monitor the alternative accommodation market based on data collected from Airbnb. This paper reports the results of the first step: the design of a sampling method for data scraping from this website that provides a representative sample of the accommodation offer of the Basque Country distributed through it and its prices. The results show that the length-of-stay (LOS) parameter of the queries to the website is key to obtaining a representative sample of the accommodation offered through this channel. A sampling method based on the representative values of LOS inferred from a data sample is proposed.     

Monitoring hotel performance using occupancy time‐series analysis: the concept of occupancy performance space

Time series factor analysis is used to identify four temporal dimensions of occupancy performance in 279 English hotels over the period January 1992 to December 1994. These dimensions referred to as reference curves differentiate hotels on the basis of overall occupancy level (RC1), seasonality (RC2), long‐term trend (RC3) and length of season (RC4). The reference curves are used to define the dimensions of occupancy performance space in which the 279 hotels are positioned, with the hotels differentiated by hotel situation type. It is shown that the positioning of a hotel in occupancy performance space can provide a precise and effective basis for hotel marketing.     

铁路多元经营饭店业存在问题及对策研究

改善铁路多元经营饭店业经营现状,实行集团化规模经营是《铁路多元经营十一五规划》的目标。分析导致铁路多元经营饭店业入住率低、经营绩效差的根本原因,从其目标市场需求的角度出发,结合现有饭店资质情况进行产品重新定位,提出发展铁路经济型连锁酒店的对策。     

Comparing guests’ key attributes of peer-to-peer accommodations and hotels: mixed-methods approach

As peer-to-peer (P2P) accommodations have grown exponentially, it is critical to understand motivations for guests to choose a P2P accommodation instead of a hotel. The current study seeks to understand these motivations by using mixed-methods approach to compare online reviews for P2P accommodations and hotels. Through quantitative analysis, thematic analysis, and text mining, this study provides analysis of 800 reviews from New York, Chicago, Los Angeles, and Houston. The results consistently show that guests in P2P emphasize relationships with hosts, whilst hotel guests place more values on room attributes.     

How does demand uncertainty affect food and beverage capacity in the hotel industry?

This study investigates the effect of demand uncertainty on hotels’ food and beverage (F&B) capacity using the operation data of international tourist hotels in Taiwan. The empirical results of this study show that demand uncertainty leads to an increase in F&B capacity. Moreover, the magnitude of this effect increasingly strengthens for hotels with larger F&B scales. Our results together with other studies on room capacity collectively indicate that hotels’ overcapacity problem resulting from demand uncertainty considerably varies with hotel scales and between different hotel sectors.     

You never know what you will get in an Airbnb: poor communication destroys value for guests

ABSTRACT

This study explores the antecedents of value co-destruction in the context of a new form of accommodation, Airbnb. Data were gathered using semi-structured interviews from people who had stayed in Airbnb accommodations during the previous 12 months. A total of 21 interviews were conducted, of people representing five nationalities. Using the grounded theory approach, the findings indicate that poor communication between the guest and host was one of the main reasons contributing to value co-destruction during the Airbnb accommodation experience. From the guest perspective, value co-destruction due to poor communication resulted in unexpected resource losses, including time and money. One interviewee also regretted the lost experience. Although the majority of the interviewees did not have negative Airbnb accommodation experiences, some did not experience a reciprocal and mutually beneficial relationship.     

Millenials’ intentions to book on Airbnb

ABSTRACT

The sharing economy has witnessed a significant growth in recent years, enhanced by the development of online platforms. In particular, Airbnb has witnessed a significant worldwide year-on-year growth. Given the importance and popularity of Airbnb, it is crucial to examine which factors affect intentions to book on this website. This study proposes and tests a model based on the Theory of Reasoned Action, to examine millennials’ determinants of intentions to book on Airbnb. Based on two online surveys targeting millennials from Germany and China, the results show that intentions to book on Airbnb is mostly influenced by subjective norm, desire for unique accommodation and variety, attitude and economic benefits. Surprisingly, economic benefits have the smallest effect. Perceived risk with the purchase channel was found to have no impact on intentions to book on Airbnb. Managerial implications and theoretical contributions are provided.     

Long-run causality between customer satisfaction and financial performance: the case of Marriott

Prior research that examines the relationship between customer satisfaction and financial performance (FP) in the hotel sector assumes that changes in customer satisfaction lead to changes in the FP of hotels. This research note aims to bridge the gap by looking into the possibility that FP of hotels may lead to increase in customer satisfaction with the annual data of Marriott from 1995 to 2016. To study the existence of long-run interactions between customer satisfaction and FP with firm size that is proxied by number of employees as the control variable under small sample size condition, the presence of cointegration among these variables with different appropriate dependent variable is investigated with the bounds testing approach. The obtained results suggest that there is a positive long-run causality from FP to customer satisfaction, and customer satisfaction has no effect on FP in the long-run. This study also finds that firm size has no impact on customer satisfaction. Explanation on each of these findings is provided in the conclusion. The selected sample and availability of data limit the generalisability of the findings of this study. Different hotel brands, measurements and analysis techniques will further the understanding in this field.     

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.     

An environment-adjusted dynamic efficiency analysis of international tourist hotels in Taiwan

The paper is the first study to combine four-stage approach and dynamic data envelopment analysis (DEA) to investigate the efficiencies of 45 international tourist hotels in Taiwan during 2002–2011. Using the four-stage approach of Fried et al. [1999. Incorporating the operating environment into a nonparametric measure of technical efficiency. Journal of Productivity Analysis, 12(3), 249–267] and the dynamic DEA model by Tone and Tsutsui [2010. Dynamic DEA: A slacks-based measure approach. Omega, 38(3), 145–156], the study considers the effects of the external operating environments and carry-over activities between two consecutive terms, and calculates managerial efficiency of international tourism hotels in Taiwan. The empirical results show that dynamic DEA provides more stable pure managerial efficiencies than traditional DEA, reflecting the continuity of the links between terms. Then the study employs Tobit regression to estimate the effects of location, management style, and occupancy rate on input slacks. The location in resort area leads to less slacks of employee and room. The chain system helps reduce slacks in room and area of meal department. The slack of employee and room gets lower while occupancy rate gets higher. After controlling the three external environment variables, the efficiency scores of 28 hotels increase, 9 hotels fall, and other 8 hotels still sustain on the efficient frontier.     

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.     

An analysis of demand uncertainty in the hotel market

This study proposes a two-step approach to investigate the impact of certain environmental variables on demand uncertainty within the hotel sector. Adopting a simultaneous-equation model and using the operation data of international tourist hotels in Taiwan, this study shows that chained hotels face less demand uncertainty than independent hotels. Additionally, hotels that are more distant from the airport or located in metropolitan areas face a significantly higher degree of demand uncertainty.     

The economic return on education for hotel managers

This paper estimates econometrically the economic return on education among Portuguese hotels managers, based on a survey carried out in 2003. A Mincerian human capital model is estimated. The main findings indicate that the rate of return is in the range 12–15%, signifying that Portuguese hotel managers are better paid than the average population. The results also indicate that in this sector, the return on education does not depend on the number of employees in the hotels in which the individual works, nor on the region where the hotel is situated. Gender has an impact in this labour market. Being a foreign manager has a positive impact on earnings, as is also the case for partners in the hotel company. The research draws the attention of hotel managers to the need to acquire human capital to enable them to perform their tasks effectively in a globalised world. Copyright © 2007 John Wiley & Sons, Ltd.     

Post-2010 FIFA Soccer World Cup: oversupply and location of luxury hotel rooms in Cape Town

An excess of hotel rooms in cities preparing to host a mega-event such as the FIFA Soccer World Cup is not a new occurrence. Between 2007 and 2010 the number of five-star hotel rooms in Cape Town increased by 50% and four-star hotel rooms by 20%. A spatial database of three-, four- and five-star hotels was compiled for the hotel sector of Cape Town. This paper reveals the global–local nexus of luxury hotel development in Cape Town (South Africa) and three different contexts in which the oversupply of hotel rooms must be understood. First is South Africa as a developing country engaged in hosting a hallmark event and engrossed in concomitant inflated tourism-related expectations. Second is the vulnerability of Cape Town's hotel sector with its overdependence on long-haul holiday tourists from a narrow northern-hemisphere market experiencing the worst economic recession since the 1930s. Third is the favourable economic trends in South Africa from 1999 to 2007 that have trapped hotel developers in a ‘fallacy of composition’.     

Restorative quality in tourist hotel marketing pictures: natural and built characteristics

Individuals often expect to recover from the fatigue of their regular lives when they engage in tourism activities. However, the intangible features of the service lead to the tourist hotels must identify associated physical clues to include in marketing pictures. Those pictures should attract the attention of these pressured customers and influence their accommodation decisions. Based on attention restoration theory, this study used eye-tracking analysis and questionnaires to investigate the influence of images of natural and built hotel scenes on visual attention and assessments of the hotel’s restorative quality. This study used 24 marketing images from a hotel as the experimental stimulus, and 80 participants with an average age of 55 years participated in the experiments. Empirical results suggest that visual clues in hotel marketing pictures can influence customers’ visual behaviour and assessments of restorative quality. In particular, images of natural scenes may attract more visual attention than those of built scenes, and natural scenes may also signal higher restorative quality to potential customers.     

Perceiving Airbnb as sharing economy: the issue of trust in using Airbnb

Airbnb is a growing business and has received much research attention. However, no research has specifically examined complaints against Airbnb. Understanding complaints serves not as a way to help improve services but provides an insight into guests’ perception of the Airbnb. I examined 664 reviews on sitejabber.com to study the common complaints and whether they are related to the perception that Airbnb is sharing economy. Using a grounded theory approach, I performed a content analysis of complaints. Besides customer service and technology challenges, one major complaint against Airbnb is their faded trust through their experiences.     

Elite hotels: painting a self‐portrait

Commercial hospitality provision arose from a general process of modernisation, the gradual breakdown of the importance of kinship and social obligation relative to a common duty of care for those travelling away from home, and the process of urbanisation. Consequently market demand evolved for the provision of accommodation, food and beverage for those persons temporarily removed from their domestic environment. What is argued in this paper is that the original function of commercial hospitality bears scant resemblance to sophisticated potentialities for socio‐economic self‐expression, which manifest themselves in the form of the elite hotel sector. The manner in which contemporary consumption of elite hotels revolves around the notion of self, with multiple identities and group affiliations is explored. Conclusions focus on the elite hotel sector as a means of defining self‐identities and the management implications therein for the provision of commercial hospitality in elite hotels. Copyright © 2001 John Wiley & Sons, Ltd.     

Impact of all-inclusive packages on hotel efficiency

In the last decade, all-inclusive packages have had an extraordinary boom in one of the most popular sun and beach tourism destinations in Europe, the Canary Islands. This fact reinvigorated the debate on potential benefits and negative effects on the local economy. However, there is no empirical evidence of the impact that all-inclusive packages may have on the efficiency in the hotel industry. This study assessed the effects of all-inclusive packages on cost and profit efficiency using the stochastic frontier approach and the model proposed by Battese and Coelli [(1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325–332] in a sample composed of 102 hotels of the Canary Islands from 2008 to 2014. The empirical results revealed that the hotels that offered all-inclusive packages exhibited lower efficiency levels than those hotels that did not provide this service. These results have important implications for both public policies and hotel management.     

The Incorporation of Consumer Experience into the Branding Process: An Investigation of Name‐Brand Hotels

Given the growing number of hotel brands, improving consumer experience has become an increasingly important area of interest to industry practitioners. The purpose of this study is to investigate the relationship between hotel guests' brand experience, knowledge and loyalty to name‐brand hotels. Confirmatory factor analysis and structural equation modeling with the incorporation of a second‐order factor analysis were employed to achieve the research goals. The findings indicate that brand experience was represented as a holistic concept with sensory, affective, behavioral and intellectual aspects. While brand experience influences brand loyalty, its impact is partially mediated by brand knowledge. This is a pioneer study that combines consumer experience with branding in the hospitality industry and offers practical suggestions to facilitate hotel managers in their development of effective branding strategies. Copyright © 2015 John Wiley & Sons, Ltd.