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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.

The purpose of this paper is to investigate the referral patterns of local residents who are frequently requested by visitors to the community to provide information and/or direct venue referrals for travel‐related services. Also investigated, were the factors influencing the selection of a specific venue being referred. It is posited that visitors delay many travel decisions until they arrive at a destination and extensively utilize local “experts” in their decision strategy.

The current study expands upon previous research on visitor decision strategies for travel‐related services once that are at a destination by examining the referral activity of 180 residents in the metro‐Orlando area, a destination that attracts more than 47 millions visitors each year. A standardized questionnaire was utilized to collect data in two distinct areas of the destination, a central tourism corridor and a bedroom community.

In general, at‐destination recommendations from locals were found to be highly sought by visitors, regardless of the occupation of the perceived local expert. In addition, although the weekly frequency of requests to a local expert was typically lower in the bedroom community in contrast to the tourism corridor, they still existed in significant enough numbers such that they should capture the attention of enterprises providing such services. At the least, a partial alignment of an enterprise's promotional strategies and tactics to reach targeted visitor segments through “locals” becomes obvious. Overall, notable recommendation patterns were not uniform across type of service enterprise, and were highly evident for food and beverage and entertainment facilities, while recommendations for lodging facilities were found to be limited in this study. It was also determined that local residents were most influenced by organic factors compared to induced factors.

The results suggest that hospitality businesses should focus a portion of their marketing strategies and tactics towards the community in order to attain/drive positive word‐of‐mouth referrals. This implication is particularly relevant for restaurants and shopping venues. Finally, it is suggested that the most effective way for businesses to reach local residents is through direct contact and communication, rather than traditional advertising channels.

The paper has both theoretical and practical value, and provides further confirmation that tourists delay/make many decisions post‐arrival and that locals play an important role in travel‐decision process.

The purpose of this paper is to understand the relative importance of ICT (Information and Communication Technology) based features and services at conference centers and underlying dimensions which could impact their selection by meeting planners. Further, it tests the relationship between types of meeting planners and their perceived importance of ICT‐based features.

A total of 17 ICT‐based features and services were identified through extensive literature content analysis. Meeting planners were asked to rate the importance of each item when they select a conference center. Factor analysis was then performed to identify underlying dimension of the items and ANOVA was used to test any difference of perceived importance by the type of meeting planners.

Meeting planners consider “availability of technical support”, “high‐speed internet”, “wireless connectivity”, and ”e‐mail station” as important features/service when they select a conference center. However, they show significant lack of knowledge in terms related to network infrastructure that are used in meeting venue marketing materials. The results show that there is no significant difference in their perceived importance of ICT‐based feature/service by the type of meeting planner.

This study provides meaningful new dimensions of important ICT‐based features and services in site selection by both researchers and meeting facility professionals. In addition, this study compared three types of meeting planners including rarely studied corporate and government meeting planners regarding their perceived importance of ICT‐based features and services in their site selection.

Drawing on protection motivation theory (PMT) and expectancy theory, this study aims to investigate consumers’ lodging consumption intentions during a pandemic crisis.

The research survey was conducted during the ongoing COVID-19 pandemic (August, 2020) in the USA to investigate consumers’ lodging intentions amidst the pandemic crisis. PLS-SEM and multiple regression were conducted to explore answers to proposed research questions.

The research finds that, during the pandemic crisis, consumers’ lodging consumption intentions are subject to both their internal protection motivation evaluations and the external prevention practices implemented by the lodging facilities regardless of property types and travel purposes. Notably, the research finds that consumers are willing to make efforts and pay extra for a safe stay at lodging facilities.

This research contributes to the literature regarding the applications of PMT and expectancy theory from a crisis management perspective, and it provides implications and guidelines to the crisis management practices in the lodging industry.

The current research examines the specific protection motivation appraisal factors and prevention practices significantly impacting consumers’ decisions in terms of willingness to stay at various lodging facilities (hotels and non-hotel homestay/short-term rental properties) for different purposes (business and leisure) and to pay premiums for a safe stay.

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.

The purpose of this paper is to examine the impacts of Airbnb on hotel employment.

A triple-difference regression framework was used to compare changes in hotel employment in three cities in South Africa where Airbnb started operating relative to cities without this home-sharing platform. Data on hotel employment was drawn from the survey on hotel service conducted by Smith Travel Research whereas the data on Airbnb’s listings was drawn from the Airbnb’s homepage for the period between July 2015 and December 2018. The analysis was restricted to 792 hotels.

Although prior studies have showed that Airbnb has an adverse impact on hotel performances, the findings show that total hotel employment expanded after the entry of Airbnb, accompanied by a marked relative shift towards self-employment. Airbnb supply negatively affected permanent employment, which was compensated by increase in temporary employment and self-employment. While the paper finds no evidence of adverse employment impacts, the hourly earnings declined for hotel employees were compensated by increase in income among self-employed Airbnb hosts. Although these findings might be contradictory to the general conjecture, such evidence calls for a comprehensive investigation of Airbnb’s overall economic impact.

First, the study was based on the impact of Airbnb on hotel employment in South Africa. Caution is therefore required when generalising the findings of this study in other geographic areas. Second, some variables that may affect employment have not been included in this study because of the unavailability of data.

The results show that the sharing economy plays an important role in solving the unemployment problem, particularly in South Africa, where there is a high rate of unemployment. More practical implications are further discussed.

To the best of author’s knowledge, this paper provides the first systematic evidence of the impact of Airbnb on labour market outcomes in the hotel industry in South Africa.

本论文研究Airbnb对酒店就业的影响。

研究采用三重差分回归模型, 对南非三个有Airbnb经营的城市与其他没有Airbnb经营的城市做酒店就业情况的对比分析。酒店就业数据来自于Smith Travel Research进行的Hotel Service问卷。Airbnb数据来自于2015年七月至2018年十二月之间的Airbnb主页上的租赁房屋数据。共792家酒店参与了数据分析。

尽管之前的研究表明Airbnb对酒店绩效有着负面影响, 但是本论文研究表明, 在Airbnb进驻城市后, 该城市的酒店就业提升了, 并伴随着显著的自营就业。然而, Airbnb最终还是对长期的就业有着负面影响, 只是短期就业和自营就业的比重增大而已。虽然本论文未发现Airbnb对就业有负面影响, 但是酒店员工的时薪降低了, 随之弥补的是自营就业的收入增加。尽管本研究结果对整体的文献有着矛盾的地方, 但是仍需针对Airbnb经济影响的全面调研。

首先, 本论文仅研究了南非Airbnb对酒店就业情况的影响。其研究结果在其他地区的推广性则有待考察。第二, 受到数据限制, 一些可能会影响就业率的因素未被收录在本研究样本内。

研究结果表明共享经济对解决就业问题有着重要影响, 尤其是在失业率较高的南非地区。更多的实际意义可以被深入讨论。

本论文是首篇系统分析了Airbnb对南非酒店业劳动市场影响的文章。

This research is to explore Norwegians’ image of US lodging facilities with a two‐stage perceptual survey of Norwegian residents. Focus group surveys are first conducted to determine the important attributes delineating Norwegians’ perceptions of US lodging facilities. Subsequently, a questionnaire containing the important perceptual attributes, along with socio‐demographic measurement and preference attributes, is developed and used in the on‐site survey. The 169 questionnaires collected in the surveys reveal that skilled employees, safety, friendly employees, and in‐room facilities are the important attributes determining Norwegians’ perceptions of overall service quality of US hotels/motels. Consequently, marketing implications and suggestions for future studies are provided.

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 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.

The purpose of the study was to examine travelers’ attitudinal and behavioral loyalty to the product type of peer-to-peer (P2P) accommodations (as opposed to a brand).

P2P accommodations’ hosts provided contact information for their guests from the prior two years who were contacted to participate in the study. Respondents answered questions about their travel party, trip purpose, factors leading to their P2P accommodation stay and attitudinal and behavioral loyalty around P2P lodging.

Autonomous motivators (dislike of big hotel chains and experience authenticity) and controlled motivators (location and cooking facilities) were positively related to attitudinal loyalty to P2P accommodations. Price predicted behavioral loyalty in the form of repeat purchase behavior and attitudinal loyalty did not.

Limitations of this study include the representativeness and size of the sample, the generalizability of the results, cross-sectional nature of the data and respondents’ recall ability. Despite a favorable attitude toward P2P accommodations, only price accounted for travelers’ repeated choice of P2P accommodations over hotels.

While attitudinal loyalty was explained by the dislike of big hotel chains and experience authenticity in P2P accommodations, it did not translate into repeated purchase behavior. Behavioral loyalty to P2P seems all about price, which begs the question of whether price is the most meaningful competitive lever in the battle between conventional hotels and P2P.

Hotel brand loyalty refers to consumer choice of brand within the conventional hotel product type. This study presents the first effort to understand consumer loyalty to a lodging product type, specifically P2P accommodations, and not a particular brand.