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The objective of this study was to confirm the dimensions of revenue managers’ proactive work behavior in the lodging setting and to examine the effect of organizational structure on the degree of proactivity in their work behavior.

The data (n = 280) collected from lodging revenue managers was analyzed, using exploratory factor analysis, confirmatory factor analyses and multivariate analysis of variance.

The four factor model was confirmed – Voice, Individual Innovation, Taking Charge and Problem Prevention. Revenue managers who manage multiple properties were found to have greater proactivity than their single property counterparts.

A future study can work exclusively with individual companies to better understand the demographics of the Revenue Manager within specific organizations.

This study enhances our understanding of revenue management activities and behaviors by focusing on the concept of proactive work behaviors, and the complexity of responsibility that revenue managers face. This study is to exhibit a greater measure of proactive work behavior.

The purpose of this study was to examine hospitality revenue management (RM) research in the recent decade, to identify emergent issues/topics and suggest directions for future research.

A systematic process of literature review involving content analysis was adopted. The process involved searching for published articles in three major online databases for hospitality and tourism journals, evaluating and selecting the relevant articles, analyzing and synthesizing the findings of the selected papers and organizing the findings to determine what is known and what is yet to be known.

The paper established a broad range of topics that have engaged the attention of hospitality and tourism researchers in contemporary times. These topics were structured into seven major themes constituting the core activities of hospitality RM process and another eight themes covering the factors influencing the practice of RM.

The classification of the literature into core activities of RM process and factors influencing RM serves as a useful guide for practitioners and academics to trace relevant literature on various aspects of RM and to visibly notice the gaps in the existing literature.

By developing an RM framework and using it to evaluate existing literature, this study brings cohesion into the hospitality and tourism RM literature.

The primary purpose of this paper is to develop a parsimonious Consumer Experience Index (CEI) and then identify and validate the dimensionality of the experience concept.

The study employed a four‐step methodology. After conducting a pre‐test and pilot test, data were collected from 397 adults via an online survey. A split‐sample technique was used for the data analysis. The first‐split sample (n=199) was used to conduct the exploratory factor analysis. Reliability, convergent validity, and discriminant validity were evaluated with a second‐half split sample (n=198) from confirmatory factor analysis.

Scale‐development procedures resulted in a seven‐factor model comprised of the following dimensions: environment, benefits, convenience, accessibility, utility, incentive, and trust. Overall, the 26‐item CEI is a reliable and valid measure to determine the underlying components of a consumer's experience.

This study concentrates on an experience based on the general service delivery system rather than a specific industry or business sector. Applicability of this experience measure should also be evaluated in specific, but diverse, business sectors. By understanding these seven dimensions, management can develop effective marketing strategies for providing memorable experience for consumers.

Consumer experience has gone largely unmeasured. Built on the old business axiom that you cannot manage what you cannot measure, this validated CEI tool can provide businesses with an effective new management tool.

The purpose of this study is to examine how the lodging market and the state economy affected by Hurricane Sandy have recovered from the damages sustained. Specifically, this study examines and predicts the influence of revenue management key performance indicators (KPIs) on recovery and lodging revenue in the affected states and the states’ economies. These KPIs include average daily rate (ADR), occupancy and revenue per available room (RevPAR).

Secondary financial data were collected for the states most damaged by Hurricane Sandy. Subsequently, pooled Ordinary Least Square (OLS) regression was conducted combining time and non-time dependent variables based on the states and radius from the landfall.

The results indicate that although the lodging market and the state economies have recovered since the onslaught of Hurricane Sandy, certain KPIs still need to improve.

Managerial implications are suggested in terms of dynamic pricing, market-based recovery, the KPIs, federal aid and facility management.

Despite its importance, research on the effects of climate change in the hospitality context has not actively progressed after Hurricane Katrina. Time and non-time dependent variables are combined in this analysis to gain a richer understanding of the impacts and recovery of KPIs on the revenue in the lodging market and the revenue on states’ economies. Additional analysis based on the radius from the landfall of the hurricane was performed to examine the impact and recovery based on geographical proximity.

This study aims to examine the impact of a mega-sporting event “2014 FIFA World Cup” on hotel pricing strategies and performance.

The present project examines the host regions’ response to the 2014 FIFA World Cup which was established by the variance in the main hotel key performance indexes: occupancy, average daily rate, revenue per available room (RevPAR) and supply. Using data gathered from STR, this research distinctly shows how the Brazilian host regions reacted to the World Cup.

Results suggest that the key performance indicators of Brazil’s lodging sector reacted differently to the World Cup. Although all hosting cities experienced significant RevPAR growth because of the increase in hotel room rates during the event, the supply and occupancy performed differed from each city.

Research is limited to the case of hotel performance at the country level for mega-events. The study focused on the reaction of revenue managers in the Latin America context. Other contexts may generate different results.

The study helps revenue managers to examine how the FIFA World Cup travel demand affected pricing strategies and revenue management practices in the Brazilian hotel sector in areas undergoing seasonal growths in overnight tourism. This study serves to inform hoteliers and practitioners about revenue management pricing strategies to improve hotel performance during mega-sporting events.

This study reveals that the benefits brought by a mega-event are not always translated into strong hotel revenue performance. This study highlights an important but understudied research area of revenue management pricing strategies and the effect of mega-sporting events in the hotel sector. This study contributes to the literature as one of the few investigations to benefit hotel pricing strategies and overall revenue performance.

This study is one of the few studies about exploring the reaction of revenue managers during the execution of a mega-sporting event. The value of the present study lies in the fact that the authors extend previous studies examining the impact of the most important sporting event in the hotel industry at the country-level perspective. This study serves to inform hoteliers and practitioners about revenue management pricing strategies to improve hotel performance during mega-sporting events.

One of the important characteristics of the hotel business is uncertainty of lodging demand, which can jeopardize hotel operation and ultimately even threaten a hotel’s survival during an economic recession. The purpose of this paper is to propose an approach to determine optimal hotel investment issues under uncertain lodging demand.

Uncertainty of lodging demand is classified into two types: the impact of unexpected economic recession and the temporary imbalance between supply of hotel rooms and lodging demand. A jump-diffusion real option approach is proposed to analyze how these two types affect optimal investment timing and the potential value of new hotel projects. The case of hotel investment in Macao is used to illustrate the jump-diffusion real option approach.

The results of numerical analysis show that the uncertainty induced by temporary imbalance between supply of hotel rooms and lodging demand increases the threshold of investment and hotel value, while the uncertainty induced by unexpected economic recession has ambiguous effects on the value and optimal investment timing of new hotel projects.

The jump-diffusion real option approach increases managerial flexibility for managers when making investment decisions on new hotel projects, allowing greater value to be generated than is possible with the conventional discounted cash flow method.

The approach separates the impact of unexpected economic recession on lodging demand from that of “normal” fluctuations in lodging demand, and it considers the impact of both types of uncertainty on hotel investment.

This study aims to examine the effects of employee voice (EV) and team-member exchange (TMX) on employee job satisfaction (EJS) and affective commitment to an organization among Gen Y employees of hotel companies in the USA and China.

Using a Qualtrics panel, a self-administered online survey was completed by Gen Y hotel employees in the USA and China. Multiple-group structural equation modeling analysis examined relative moderating effects on the proposed framework.

The effect of EV on EJS was greater in China than in the USA. However, Gen Y hotel employees in the USA who experience high-quality TMX are more likely to have greater EJS than they would in China.

Further studies need to be carried out in other hospitality sectors or non-hospitality business areas with different cross-national contexts.

Chinese hotel managers need to develop effective ways to encourage Gen Y EV. To promote TMX of Gen Y employees in the USA, supporting team-oriented projects and/or evaluations can be an effective way.

This study advances previous cross-cultural studies by focusing on a generation subculture. It makes significant contributions to the hospitality literature, as it is the first among research studies that examines Gen Y employees’ extra-role behavior (EV) and TMX across different national cultures: the USA vs China.

The purpose of this paper is to determine how much the lodging shared economy (LSE) utilizes minimum length of stay (MLOS) controls to maximize revenue and reduce housekeeping expense, since cleaning between guest visits represents a substantial variable cost for each guest’s stay. Hosts in the LSE are becoming increasingly perceptive in maximizing revenues.

Daily data for one year were collected for Vacation Rental by Owner properties in Hilton Head Island, SC and Orlando, FL. The collected data include daily vacancies for two different lengths of stay. Linear regression was used to explore the relationship between relative demand and vacancy length of stay differences.

During high-demand periods, there were few differences between the availability of short-term and longer-term reservation vacancies, which indicated hosts were not encouraging guests to stay longer during each visit. These results reveal differences in vacancies for three-night vs six-night reservations. A host can generate more revenue and decrease expenses by maximizing booked nights per visit.

Due to confidentiality issues, this study does not capture vacation bookings but instead captures vacancies. In addition, Average Daily Rate was not utilized in this study.

LSE hosts can maximize revenues using MLOS controls. Minimizing housekeeping costs boosts a host’s profitability.

Although this research has been conducted for hotel MLOS, there is a gap in the literature regarding LSE hosts’ use of MLOS.

The purpose of this paper is to examine the degree to which budget and mid-range hoteliers perceive Airbnb as a threat, and the extent to which they are actively responding to the peer-to-peer accommodation business model.

The study draws on qualitative data collected through 19 semi-structured interviews with budget and midrange hotel managers in Istanbul, Turkey, covering how they view Airbnb and have responded to Airbnb’s rise.

The results suggest that the managers believed they were losing some business to Airbnb, yet they generally neither perceive Airbnb as a serious threat nor were they generally taking concrete strategic measures to respond to Airbnb. Regulatory lobbying against Airbnb and exploiting Airbnb as a new distribution platform were the most common responses, and cutting rate also was commonly seen as a potential competitive strategy.

The study responds to calls by several scholars for more research addressing the strategies adopted by traditional lodging facilities to protect their market share from Airbnb. This study does so with a specific focus on the budget and midrange hotel segments, which some studies suggest may be particularly vulnerable to Airbnb competition. Also, the limited research addressing Airbnb’s perceived impacts on traditional lodging has been conducted in mature economies, so the topic remains largely neglected in maturing economies like Turkey.

Purpose – The purpose of this paper is to investigate the approaches used by leading lodging properties to assess the costs and contributions of training. The study also investigates the barriers to collecting data required for the calculation of return on investment (ROI) and begs the question, “when are hotel companies going to design a system that tracks the value of employee development?” Design/methodology/approach – This study uses a purposeful sampling method and focuses on a small number of hotel companies rather than a large sample. The interview questions were developed through an extensive literature and are based upon Kirkpatrick and Phillips' framework. The qualitative method employed for this study uses Littrell and Dickson's adaptation of Marshall and Rossman's qualitative research cycle. Findings – The paper reveals the haphazard approach to corporate spending and tracking training, one of the major expenses in the lodging industry. It explores the failure of hoteliers to expect accountability for the investment into employee development. Research limitations/implications – This study is exploratory and therefore may not be generalized to the entire population of human resources and training departments within the hotel industry. Practical implications – This exploratory study identifies the barriers of calculating the ROI of training. It also suggests strategies human resource managers can use to develop ROI for training programs and access employee development programs and budgets. Originality/value – This paper explores the unique perspective held by lodging managers on the issue of ROI in training. Very little research has been done on this aspect of ROI in training in the hotel industry.