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The purpose of this paper is to examine the effect on price of different cruise industry characteristics from the point of view of actual prices. The analysis is carried out from the supply side but taking into account the real prices paid by customers.

This paper uses the hedonic price methodology. To develop this research, a database of more than 36,000 prices paid by cruise passengers and different characteristics of ships in 2013 was built. To obtain the results, ten models have been developed with significant adjusted R² of between 0.85 and 0.93 making the models and results robust.

The results show that the main attributes affecting prices are the number of nights of the itinerary, the departure date, the number of days before departure the booking is made, the accommodation type and some facilities, such as casinos, cinemas and swimming pools. The results also yield a ranking of ship companies based on price and quality dimensions. Finally, the authors suggest some implications for management and new research.

This paper offers a new approach in the academic literature of the cruise industry in two respects. First, in its use of a broad database of actual prices paid by passengers – more than 36,000 observations. Second, in the application of the hedonic pricing methodology, widely used in the tourism sector (see the Methodology and Database section) but until now not in the cruising segment.

The purpose of this paper is to interview Mr. Jingbang Zhang, EVP of Yagao Meihua Hotel Management Co., Ltd & CEO of Madison Brand based in Shanghai, China, regarding the impact of COVID-19 on China’s hotel industry and potential post-COVID-19 trends.

Interview with hotel group CEO and industry leader in China.

Several effects of COVID-19 and potential trends are discussed from a hotel CEO’s perspective.

Tourism and hospitality stakeholders will acquire a better understanding of the impacts of COVID-19 on China’s hotel industry and possible post-COVID-19 adjustments

In colleges of agriculture leadership education is one area of study where enrollment and demand are outstripping the capacity of institutions to deliver the coursework. However, few faculty members are prepared to teach leadership contextually based in agriculture. Responding to this challenge, the Leadership Education Institute (LEI) for faculty in colleges of agriculture was created. The primary goal of the project was to prepare agricultural faculty to teach leadership as a secondary discipline. This multi-year project, funded by a USDA Higher Education Challenge Grant, was a collaboration of faculty from Oklahoma State University, the University of Nebraska-Lincoln, and the University of Georgia. The project resulted in directly impacting food and agricultural sciences education at 10 institutions across the nation by improving teaching competency of leadership education faculty in colleges of agriculture.

The performance of behavioral targeting (BT) mainly relies on the effectiveness of user classification since advertisers always want to target their advertisements to the most relevant users. In this paper, the authors frame the BT as a user classification problem and describe a machine learning–based approach for solving it.

To perform such a study, two major research questions are investigated: the first question is how to represent a user’s online behavior. A good representation strategy should be able to effectively classify users based on their online activities. The second question is how different representation strategies affect the targeting performance. The authors propose three user behavior representation methods and compare them empirically using the area under the receiver operating characteristic curve (AUC) as a performance measure.

The experimental results indicate that ad campaign effectiveness can be significantly improved by combining user search queries, clicked URLs and clicked ads as a user profile. In addition, the authors also explore the temporal aspect of user behavior history by investigating the effect of history length on targeting performance. The authors note that an improvement of approximately 6.5% in AUC is achieved when user history is extended from 1 day to 14 days, which is substantial in targeting performance.

This paper confirms the effectiveness of BT on user classification and provides a validation of BT for Internet advertising.

The sharing economy (SE) has transformed the tourism industry and continues to disrupt multiple sectors in the global business landscape. This paper aims to investigate the potential of the SE entering the aviation sector and examines travelers’ willingness to pay (WTP) a premium for shared private air travel.

The context for the empirical study was the platform JetSmarter, one of the emerging SE platforms in the private aviation sector. A quantitative survey with a random sampling method was adopted to measure customers’ WTP premium prices.

The results reveal a glaring interest of commercial air travelers in flying on a shared, private aircraft and show significant differences in the WTP for private aviation. The findings highlight a difference of WTP between customer segments, including Northern American and European customers, as well as business and leisure travelers.

The study makes a three-fold contribution to theory and practice. First, it bridges SE literature and the WTP construct, and with that, expands the understanding of pricing behaviors in a SE context. For tourism businesses, the study is valuable in that it offers concrete pricing suggestions for SE services when aimed at a premium rather than a budget customer segment. Third, the study is novel in that it taps into the aviation sector as a subsector of the SE ecosystem and offers critical implications suggesting the potential of the SE disrupting traditional aviation businesses.

共享经济对航空业的影响: 旅客的支付意愿

共享经济不仅影响了旅游业, 更进而改变了许多产业的运作模式。本文旨在研究共享经济在航空业的发展潜力, 以及探讨旅客对于共享私人飞机的溢价的付费意愿。

此实证研究是以一个新兴的共享私人飞机公司JetSmarter作为背景。本研究采用定量调查中的随机抽样方法去衡量客户支付溢价的意愿。

研究结果显示旅客对乘坐共享私人飞机有浓厚的兴趣, 并显示出不同客群在付费意愿度上有显著的差异。调查显示北美和欧洲旅客以及商务和休闲旅客的付费意愿明显不同。

此研究对理论和实践做出了三方面的贡献。首先, 藉由结合共享经济的文献和支付意愿的领域, 它扩展了我们对共享经济的定价行为的理解。对于旅游企业而言, 这项研究的价值是它为共享经济提供了具体的定价建议, 且它针对的是高端客户而非中低端客户群。最后, 这项研究的新颖性在于它将航空业定义为共享经济生态系统的一部分, 并且它提供了批判性的建议, 说明共享经济有可能对传统的航空业务造成负面影响。

Economía colaborativa que perturba la aviación: Disposición de los viajeros a pagar.

la economía compartida ha transformado la industria del turismo y continúa afectando a múltiples sectores en el panorama empresarial global. Este artículo tiene como objetivo investigar el potencial de la economía colaborativa que ingresa al sector de la aviación y examina la disposición de los viajeros a pagar una prima por viajes aéreos privados y compartidos.

el contexto para el estudio empírico fue la plataforma JetSmarter, una de las plataformas emergentes de economía compartida en el sector de la aviación privada. Se adoptó una encuesta cuantitativa con un método de muestreo aleatorio para medir la disposición de los clientes a pagar precios superiores.

los resultados revelan un interés evidente de los viajeros aéreos comerciales en volar en aviones privados compartidos y muestran diferencias significativas en la disposición a pagar por la aviación privada. Las conclusiones resaltan una diferencia de disposición a pagar entre los segmentos de clientes, incluyendo a los clientes norteamericanos y europeos, así como a los viajeros de negocios y de placer.

el estudio hace una triple contribución a la teoría y la práctica. Primero, une la literatura sobre economía compartida y el constructo de la disposición a pagar, y con eso, amplía nuestra comprensión sobre los comportamientos de fijación de precios en un contexto de economía compartida. Para las empresas de turismo, el estudio es valioso porque ofrece sugerencias concretas de precios para servicios de economía compartida, cuando se dirige a un segmento de clientes premium en lugar de un segmento de clientes de presupuesto. En tercer lugar, el estudio es novedoso porque aprovecha el sector de la aviación como subsector del ecosistema de la economía colaborativa y ofrece implicaciones críticas que sugieren el potencial de la economía colaborativa que perturba las empresas de aviación tradicionales.

The purpose of this paper is to review the current literature in the field of tourism demand forecasting.

Published papers in the high quality journals are studied and categorized based their used forecasting method.

There is no forecasting method which can develop the best forecasts for all of the problems. Combined forecasting methods are providing better forecasts in comparison to the traditional forecasting methods.

This paper reviews the available literature from 2007 to 2017. There is not such a review available in the literature.

The relationships between tourist resorts and transnational crime are rarely analyzed systematically. This paper begins to fill this gap by examining how organized crime groups and individuals linked to them can take advantage of tourist resorts to commit crimes.

Corporate travel represents a significant source of revenue for the tourism industry. Therefore, the quality of service is essential for maintaining and expanding corporate cliental bases. Despite the importance, the extant literature has yet sufficiently examined corporate travel service quality (SQ) and its impact. To make up for the drawback, this study aims to differentiate the impact of SQ perceptions on customer satisfaction between the online and off-line contexts through an empirical investigation in one of the top five corporate travel agencies in North America.

The well-established SERVQUAL measurement is applied in differentiating the impact of SQ dimensions between the online and off-line context. To empirically test the proposed corporate travel agency (CTA) SQ conceptual model, a set of survey data of “Welcome Back Survey” from HRG (a top five CTA in North America) was examined.

The study finds that for online services, assurance, responsiveness and empathy affect perceived SQ, whereas for off-line services, assurance, empathy and tangible are the three dimensions of perceived SQ.

By relying on the existing survey, the off-line context has one less dimension than the online context. Yet as an early effort in differentiating the differences in the impact of SQ between two service contexts, the study offers insightful findings.

The findings will be helpful for business managers of CTAs to identify the factors that influence SQ in both online booking and off-line booking context. In particular, assurance and empathy are two dimensions that exert a significant impact on customer satisfaction.

This paper is the first to compare the differences of the SQ of online and off-line corporate travel.

To explore the future visions outlined in one of the first academic books on UK tourism to venture into tourism futures. Through today’s lens, their visions are explored through three topics: Future Markets and Destinations; Future Resources; and the Future Organization of Tourism.

Exploring the backstory, key drivers and tipping points of UK tourism development and tourism education during the 1960s and 1970s, they help to understand the rationale for the authors 1974 future visions of UK tourism. These visions are tested against reality, using a mixture of data, softer evidence and the authors’ judgements.

Acknowledging the authors showed courage in presenting their future visions, when so little was known about the development of tourism, let alone tourism futures. The article highlights the successes and failures of their future visions across 20 tourism sectors, through 55 tourism forecasts. The reasons for weaknesses in some of their forecasts, and their foresight in highlighting little known issues are explored, along with key learning points for tourism futurists.

The future visions of UK tourism were tested against data and other evidence, but this was not always possible. Therefore, the success or failures of some of the visions are based on the authors’ judgement.

Over the past 50 years, there has been a steady growth in tourism futures studies. Given the recent increase in awareness of history in driving futures thinking, perhaps now is the time to apply this viewpoint to previously published tourism futures studies because such reviews provide a timely reminder of the transient nature of tourism futures gazing.