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Segmenting techniques used in the lodging industry typically assume that individuals fall into mutually exclusive groups, that is, they are assigned to one type of lodging concept by the segmenting method used. In reality, however, travelers often use several types of lodging alternatives. This study utilized a canonical correlation approach to segment the senior pleasure traveler market. The analysis resulted in both uniquely defined and overlapping segments based on the relationship between lodging preferences and benefits/attributes sought in a lodging accommodation. The study also revealed implications dealing with overlapping segments as well as loyalty to specific lodging segments.

This study aims to determine the effects of lodging infrastructure development (LID) on Cordillera Administrative Region’s (CAR) environmental quality and natural resource management and its implication to globally responsible leadership. Specifically, this study sought to determine the contribution of LID to environmental deterioration and natural resource degradation in the CAR. As a result, a mathematical model is developed, which supports sustainability practices to maintain the environmental quality and natural resource management in CAR, Philippines.

This study used a descriptive research design using a mixed-methods approach. Self-structured interview and survey were used to gather the data. The population of this study involved three groups. There were 6.28% (34) experts in the field for the qualitative data, 70.24% (380) respondents for the quantitative data and 23.47% (127) from the lodging establishments. 120 respondents from the Department of Tourism – CAR (DOT-CAR) accredited hotels. Nonparametric and nonlinear regression analysis was used to process the data.

The effects of LID on the environmental quality and natural resource management in CAR as measured through carbon emission from liquefied petroleum gas (LPG), electricity and water consumption in the occupied guest rooms revealed a direct correlation between the LID. Findings conclude that the increase in tourist arrival is a trigger factor in the increase in LID in the CAR. The increase in LID implies a rise in carbon emission in the lodging infrastructure. Any increase in tourist arrivals increases lodging room occupancy; the increased lodging room occupancy contributes to carbon emissions. Thus, tourism trends contribute to the deterioration of the environmental quality and degradation of the natural resources in the CAR. A log-log model shows the percentage change in the average growth of tourist arrival and the percentage increase in carbon emissions. Establishments should observe standard room capacity to maintain the carbon emission of occupied lodging rooms at a minimum. Responsible leadership is a factor in the implementation of policy on standard room capacity.

The result of the study has some implications for the lodging businesses, the local government unit (LGU), the Department of Tourism (DOT) and the Department of Environment and Natural Resources (DENR) in the CAR. The study highlights the contribution of the lodging establishments to CO₂ emission, which can degrade the quality of the environment, and the implication of responsible leadership in managing natural resources in the CAR. The direct inverse relationship between energy use and CO₂ emission in hotels indicates that increased energy consumption leads to environmental degradation (Ahmad et al., 2018). Therefore, responsible leadership among policymakers in the lodging and government sectors – LGU, DOT and DENR – should abound in the CAR. Benchmarking on the model embarked from this study can help in designing and/or enhancing the policy on room capacity standardization, considering the total area with its maximum capacity to keep the carbon emission at a lower rate. Furthermore, as a responsible leader in the community, one should create programs that regulate the number of tourists visiting the place to decrease the number of overnight stays. Besides, having the political will to implement reduced room occupancy throughout the lodging establishments in CAR can help reduce the carbon emissions from the lodging businesses. After all, one of the aims of the International Environment Protection Organization is to reduce CO₂ emissions in the tourism industry. Hence, responsible leadership in environmental quality preservation and sustainable natural resource management must help prevent and avoid greenhouse gas (GHG) emissions.

Most studies about carbon emission in the environment tackle about carbon dioxide emitted by transportation and factories. This study adds to the insights on the existing information about the carbon emission in the environment from the lodging establishments through the use of LPG, electricity and water consumption in the occupied guest rooms. The findings of the study open an avenue for globally responsible leadership in sustaining environmental quality and preservation of natural resources by revisiting and amending the policies on the number of room occupancy, guidelines and standardization, considering the total lodging area with its maximum capacity to keep the carbon emission at a minimum, thus contributing to the lowering of GHG emissions from the lodging industry.

This study aims to empirically investigate agency and stewardship theories in the US lodging market by examining the influence of fiscal and non-fiscal leadership structures on the debt financing decisions of lodging firms.

Secondary financial data have been collected for USA-based lodging firms. Subsequently, bivariate correlation, pooled ordinary least square) and endogeneity analyses have been performed on the data.

The findings support the significant influence of some corporate governance attributes on the capital structure of US lodging firms and show the limited applicability of agency and stewardship theories.

Theoretical and managerial implications are suggested in terms of balancing leadership structure attributes from the agency and stewardship theories, the capital structure of lodging firms and the future research.

Despite its importance considering the intensive capital and relatively high liabilities needed for success in the lodging industry, the influence of leadership structure on capital structure has not been examined either empirically or theoretically. Leadership structure attributes, both fiscal and non-fiscal, are included in the study to gain a richer understanding of their influence. The outcomes of the analysis suggest managerial implications for leadership structure as well as theoretical generalizability for agency and stewardship theories within the lodging industry.

The purpose of this study was utilize the experience economy to assess the value of the network hospitality experience for the guest and to develop a better understanding of network hospitality as a unique alternative to traditional lodging.

This study used a mixed-methods approach, relying on content analysis and interpretive phenomenological analysis to answer the research questions. Guest reviews of hosts for a lodging-specific network hospitality website were used as the data source for this study.

The educational dimension of the experience economy was most represented during network hospitality experiences. Additionally, the factors that create value for network hospitality users include verbal communication, a sense of feeling at home, engagement in entertainment, food and beverage and the functional experience while the spirit of network hospitality, reciprocity and desire for continuation through future intention can have a great impact on the travel and tourism industry.

This research adds value to the current literature by providing a better understanding of the experience economy at work in network hospitality, primarily education and esthetics. Additionally a better understanding of what factors of the network hospitality experience create value for guests is developed. This work focuses on a fast-growing substitute for traditional lodging and therefore needs to be better understood.

Examination of the image projected through photographs used in marketing materials can enable managers to identify opportunities for creating differentiated positioning in the marketplace. However, the impact of image projected through photographs has not received much attention in academic literature. This paper aims to establish a methodology using dynamic indices that allow a systematic comparative evaluation of the image projected through photographs used in marketing materials of lodging properties located in competing destinations. It also provides an empirical examination of the type of image projected through photographs of lodging properties in those destinations.

Analysis was conducted using a content analysis methodology. A total of 17,187 photographs of 5,820 lodging properties located in 15 different tourism destinations over a period of eight years were examined.

Results revealed that the proposed methodology based on dynamic comparative indices is appropriate for determining the projected image of lodging properties. The dynamic indices, which categorise photographs in three main categories: subject (people), activities (actions carried out) and contextualisation (location), allowed a systematic evaluation of the image projected of lodging properties in competing destinations. Results of the empirical analysis indicated important differences in the image projected through photographs among lodging properties located in 15 destinations.

This study provides the industry and destination marketing organisations (DMOs) with a useful and simple tool for comparatively evaluating the image projected by tourism accommodations. The methodology proposed enables managers to identify the current image and the changes in the image of their lodging properties, their destinations and those of their main competitors over the years, thus providing opportunities for development of more effective differentiation and positioning strategies in their respective target markets.

The proposed tool provides a methodology that can be used to categorise and evaluate the image represented on the photographs used in marketing materials to ensure the projection of the intended image. Furthermore, the proposed methodological tool enables managers to monitor the image projected through photographs used in competitors’ marketing materials and identify changes in their image projected over time.

The purpose of this paper is to illustrate new methods of examining structural differences among segmented markets beyond comparing merely univariate variable mean scores, so as to help marketers and researchers gain better insights into segment differences for meaningful strategy development.

A comprehensive dataset covering various lodging market segments was constructed from Tripadvisor.com. The data then were sorted into lodging customer segments by star rating, type of operation, and level of price charged. Structural equation modeling with the −2 log‐likelihood difference test was conducted to illustrate how effectively the differences, if any, of market segments could be assessed in contrast to the traditional mean‐score comparison approach.

Guest satisfaction was influenced by the same performance variable to the same magnitude and direction across different lodging segments examined. Such stability in the amount of influence of performance on guest satisfaction was true even in the fact that the variable mean scores were significantly different across the market segments.

The traditional approach to examining segment differences via univariate mean scores could be one set of results, while the effect‐based difference assessments in this paper resulted in another. Developing marketing strategies based on the effect‐based segment differences, as illustrated in this paper, is considered more effective than the traditional mean‐based approach. One limitation of this paper could be use of a secondary dataset with limited scope of the model employed for an illustrative purpose. Another limitation is that the sample characteristics are unknown due to the nature of a secondary dataset. The examination of the market segments was also limited to those based on only three popular variables.

The paper is a fresh attempt to examine market segment differences through the effect of one variable on another. The paper advances the methods of hospitality and tourism research for examining segment differences beyond the traditional univariate mean‐based examination approach. The methodological illustration is applicable to a vast majority of different theoretical frameworks known in the hospitality and tourism field. Use of the assessment method illustrated in this paper also requires future market segmentation studies to rely more on theories than data.

Many lodging operators in the USA might intuitively, or through long experience, be aware of the more important socio‐demographic market segments of their business. This research quantifies the significance and the contribution of such market segments to aggregate lodging demand in the USA. Finds that age distribution, income distribution, occupation and gender are the most significant socio‐demographic factors that have an effect on lodging demand. The aggregate lodging demand contribution of specific market segments obtained by combining the above factors pairwise, i.e. age and income, age and occupation, etc. is also discussed in the study.

The purpose of this paper is to understand the main determinants that affect accommodation purchase intentions through lodging websites in sharing economy context. This industry differs from the hotel industry because it is a community marketplace with a growing community of users where renters can monetize their extra space and list their properties to an audience of millions while travelers can find unique accommodation at any price point.

The authors examine factors such as perceived lodging value, perceived lodging price, lodging information, online lodging reviews, trust with the host, website usability and perceived privacy/security of the website, and measure their relationships with purchase intentions. Based on an online survey data, the structural model test outcomes explain the direct effect of the exogenous variables on purchase intentions and the mediating effect of perceived lodging value between perceived lodging price and purchase intentions.

The study demonstrates that the six latent factors and proposed associations have positive effects on purchase intentions. Thus, enterprises operating in the online lodging industry should consider these elements as key antecedents of lodging purchase intentions.

Lodging websites operate in a highly competitive market where they have to compete with hotel operators, hostels, bed and breakfasts and hotel comparison websites in current sharing economy. In addition, consumers usually spend a great deal of time and effort on online pre-purchase evaluation because of the ease of the information gathering process where consumers can find a wide variety of options online. Therefore, understanding the drivers that convert browsers into renters is a topic of great interest among marketing managers in the current sharing economy context.

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.