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Today's increasingly interconnected world presents substantial challenges for the security of air travel, which can be attenuated by using registered traveler biometric systems (RTBS). While several systems have been deployed (i.e. Global Entry), it is not clear how a mass adoption of registered traveler biometric systems can be predicted. Using data from air travelers, the aim of this study is to examine the link between air travelers' perceptions of several air travel attributes and their intentions to use RTBS.

This study used an exploratory factor analysis to reduce the dimensionality of 17 perceptions of air travel experience attributes. Further, a discriminant function analysis was used to determine if any of the air travel attribute groups are useful in distinguishing between travelers favorable v. unfavorable toward RTBS.

This study found that travelers' perceptions of several air travel attributes are linked to their intentions to use RTBS. Specifically, the in‐flight service experience, the efficiency of the pre‐flight processing, and the emphasis on customers' time are useful in discriminating between travelers who are favorable v. unfavorable toward registered traveler biometric systems.

This study shows how certain groups of air travel attributes, which are “visible”, can discriminate between air travelers willing and unwilling to use RTBS. Also, by focusing on general air travel attributes, this study provides a broader understanding of how travelers form criteria to evaluate air travel service performance. Finally, this study offers distinctive insight into the voluntary use of biometric technology in airports.

This study has important implications for improving the security of air travel and understanding better a technology that is associated with strong consumer sentiments.

Being among the first studies to examine air travel attribute perceptions and travelers' intentions to approach or reject RTBS, this study makes an important step in the general understanding of biometric system adoption in air travel. By finding the links between air travel attributes and intentions to use RTBS, this study provides a unique approach to understanding the potential use of RTBS in travel, with important implications for an improved management and marketing of RTBS. Also, the study establishes a link between air travel attributes and technologies designed to enhance the air service experience.

The purpose of this study was conducted to investigate the moderating effects wine destination attributes have upon the negative impacts of travel constraints on consumer’s intent to revisit wine regions and also assist wine destinations with the development of marketing strategies designed to offset travel constraints which then could lead to increased intentions to revisit wine regions.

A sampling frame was designed to collect data from consumers visiting 15 wineries using a list of wineries provided by an industry distributor. Self-administered on-site surveys were distributed to visitors during random days and times at each site. To effectively analyze this study’s data set, hierarchical linear models were developed to test our main research question suggesting the significant cross-level effects wine destination attributes (at the regional level) have upon travel constraints in combination with revisit intention (at the individual level).

The negative impact of the “structural” constraints’ dimension on revisit intention is weaker when people are emotionally attracted to a specific wine destination and/or when wine-specific attractions appeal strongly to visitors. Additionally, the negative impact of the “intrapersonal” constraints on “revisit intention” is weaker when positive perceptions about “wine-specific attractions” and/or “tourism infrastructure” attributes are strong.

Results provide strategic directions for wine destination marketing organizations to more accurately improve their destination’s reputation by determining and establishing the most attractive wine-specific attributes as perceived by visitors. Findings also assist these destinations to develop and provide appropriate tourism infrastructure.

This study investigated the effects of wine destination attributes and their attractiveness upon an individual’s travel constraints and revisit intention using a multilevel approach incorporating a regional-based perspective.

Transport mode attributes have often been neglected in the retailing and transportation literature in retail outlets choice studies. Most of the retailing and transportation literature has only adopted the traditional measures of deterrence, namely, travel time, distance and/or travel cost. Similar phenomena exist in real estate research, particularly in real estate market analysis and valuation. However, a few studies have shown that other attributes of the travel component, such as comfort, reliability of transport mode, etc., are significant in affecting shopping centres’ patronage. With the heightening of issues such as sustainable development and environmental pollution, many governments are gearing to provide greater choices and better quality public transport modes to shopping centres. Therefore, with more transport options, shoppers are likely to consider the characteristics of each transport option in greater detail in their choice of shopping centres. Therefore, in view of this widespread phenomenon, it is timely to provide greater understanding of the travel components in shopping trips. In the light of the above development, this paper aims to disaggregate the travel components in shopping centre choice. By way of principal component analysis, it presents the salient dimensions of transport attributes and shopping centre characteristics in shopping centre choice. Using the weighted factor rating, it found that, in addition to the shopping centre attributes, as well as the conventional measures of travel components, shoppers consider other travel factors in their choice of shopping centres. This in turn has implications on valuation practices.

The main objectives of this study are to (1) explore underlying components and attributes of travel applications that influence traveler usage intention and (2) investigate which contents should be prioritized to increase the efficiency of travel apps.

This study uses importance–performance map analysis (IPMA) with an innovative approach (i.e. generalized structured component analysis [GSCA]) to identify components and attributes that have relatively high and low significance for the target construct (i.e. travel app's usage intention).

An integrated model influenced by three components (i.e. entertainment, travel review and medical and emergency information is proposed to have an impact on travelers' intention to use travel apps). The IPMA results indicate that restaurant and shopping receive the utmost emphasis from Thai domestic tourists who use travel apps, and sports and attraction are regarded as less critical attributes.

The app content scales identified in this study can be used as a basic framework for app developers, service providers and tourism authorities to design a travel app. The IPMA results also help concerned practitioners to make decisions on which contents/attributes should be incorporated and improved.

This study implements IPMA using a GSCA estimator to present the standard results reporting on the path coefficients of each of the attributes of travel app services. The results not only contribute to the improvement of app features and services, but also suggest an innovative approach for generating pertinent IPMA results with GSCA, thus contributing to the theoretical and methodological advancement in hospitality and tourism areas.

The purpose of this paper is to explore a multidimensional quality scale for the identification of incentive travel attributes.

The combined qualitative and quantitative method was used.

The resulting quality scale comprises 32 items with eight factors: image and attractions, accessibility, site environment, hotel facilities, opportunities for networking and sense of achievement/reward, program, specially arranged program and local people.

The results of this study provide insights for practitioners in Taiwan, particularly the government bodies concerned and incentive event organizers, and thus assist the practitioners in making strategic plans and decisions to ensure event quality and overall attendee satisfaction.

The value of this study is the first attempt to develop and validate a scale for capturing the quality of incentive events.

The purpose of this paper is primarily to examine the impact of cultural background on image formation by looking at Macao's regional tourism destination image perceptions by its main tourist markets of China (PRC), Hong Kong and Taiwan. Other image formation components are explored within this context, such as the impact of travel behaviors, travel motives and sources of information on Macao's image.

A face‐to‐face survey (random sampling) was conducted in the departure areas of the international airports in Hong Kong, Beijing, Shanghai and Taiwan (Kaohsiung). This uncovered perceptions of actual visitors and potential visitors to Macao, and allowed for only those with the ability to travel to be interviewed.

Multivariate analysis conducted on the data revealed significant differences between the Chinese travelers from the various cities on leading image perception attributes, travel behaviors, travel motives and influences of sources of information.

Cultural background, while recognized in the image research as an important component in destination image formation, has been rarely examined in tourism destination image studies with research conducted on one nationality or group of people based on specific demographic indicators (such as student, leisure or business traveler). The research reveals important implications for the successful positioning and branding of a destination targeting at various markets even within one nation or culture, and questioning overall effectiveness of future image research that proposes national marketing and promotional strategy based on one source group.

As competition continues to intensify within cities and regions for domestic and international travel, the paper shows that there is a need to design tailored marketing, promotion and public relations programs in order to optimize influence on specific travel segments.

The purpose of this paper is to identify young cultural visitors’ perceptions towards culture and cultural heritage destinations.

This study, based on a survey conducted in the archaeological site of Delphi in Greece, examines young cultural visitors’ perceptions by identifying their perceived importance for a series of destination attributes.

Findings reveal the important characteristics of cultural heritage sites for young travelers. Emphasis needs to be given on the following four influential factors of a cultural heritage site: organization and facilities, learning and experience, operation and accessibility, and place and promotion.

Tourism authorities ought to focus upon young people and understand their needs in order to attract them to cultural destinations providing positive experience/s. This study is a unique attempt to analyze the perceptions of young people in cultural destinations and is limited to only one cultural heritage site, Delphi. Further, research in other sites examining younger ages and their differences would provide significant information about this unexplored market in cultural sites.

This paper examines that misconception about culture concerning only older age‐groups needs a new way of thinking that takes into consideration young visitors as important cultural visitors. By ignoring their importance, opportunities to maximize value from the sites as well as to operate them in a more sustainable manner are lost. Knowing exactly the perceptions of young people for culture gives insights into their present and future behavior in cultural heritage destinations.

The purpose of this study is to identify Halal hotel attributes demanded by the Russian Muslim travelers. Following this, the study aims to investigate whether gender and types of travelers influence the demand for Halal hotel attributes.

Semi-structured interviews were conducted to localize the list of Halal hotel attributes for the Russian business context. A self-administrated online questionnaire was designed, distributed and collected from 191 Russian Muslim customers, who have stayed at Halal hotels in the past 12 months. Data analysis includes a t-test and analysis of variance.

The study revealed a list of Halal attributes demanded by Russian Muslim customers. Also, the findings indicate that the list of the attributes demonstrated the differences in the requested attributes between gender and types of travelers.

The study came across three main limitations. The first was that the respondents surveyed were leisure tourists. Second, the majority of the respondents have university degrees. Third, the research sample is limited to approximately 200 respondents. This research primarily contributes to tourism and hospitality management, and consumer behavior literature, as this is the first study yielding insights on a new demographic: Russian Muslim tourists.

The study provides a clear understanding of the Halal hotel attributes demanded by Russian Muslims that can help hotel managers to accommodate the needs of this group while, at the same time, meeting the requirements of guests of different religions.

The study contributes to improving social relationships within the Russian Federation as it improves society’s understanding of the life principles of Muslims.

This is the first study investigating the demand for Halal attributes by Russian Muslim tourists. By partly covering the empty research field on this topic, the study provides meaningful direction to future research of the Russian hotels’ Halal services from both supply and demand perspectives.

The purpose of this study is to explore the impact of other customer's opinion on a service firm and its alliance on the evaluation of the airline by the focal customer by integrating qualitative and quantitative user-generated content. The study also explores the relative importance of core and peripheral attributes in consumer evaluations.

A text mining and natural language processing-based approach was followed to extract insights from the qualitative part of 18,457 consumer reviews, which were later analyzed along with the quantitative information obtained from the reviews using linear regression and logistic regression methods.

The authors found that customer satisfaction and recommendation behavior is formed by own and others' opinion about the airline and alliance. The relative importance of the core and peripheral attributes depends on the psychological distance from the evaluation of the attribute.

The theoretical contribution and managerial implications have been discussed in detail.

It helps in review management strategy, service design strategy and the alliance and partnership strategies of the airlines.

This is the first paper that explores the impact attribute-level evaluations found in prior reviews on the future reviews of customers. It also explores the effect of prior reviews in the context of a service business and its alliances.

Fuzzy rule-based system (FRBS), a soft computing method used for big data analysis, is used to determine which single hotel attribute or interrelated hotel attributes used in Travel 2.0 data play a role on price–performance (PP).

FRBS, based on fuzzy set theory, is used using the data set of four- and five-star hotels in the Alanya destination in Turkey collected from HolidayCheck.de website for the period between 2009 and 2016.

Single attributes do not have an impact on PP. At least two or more attributes are necessary to have an impact on PP. Compensations among attributes that are observed to be leading to PP not to change from their current level. Instead of assuming a linear relationship between hotel attributes and PP, non-linearity should often be assumed. In addition, some hotel attributes do not have an impact on PP until some other attribute reaches a certain level.

The limitations of this research can be grouped under two topics. While the first is related to data, which is German-speaking tourists staying at four- and five-star hotels between 2009 and 2016, the second is the limitation on generalizability. By implementing other types of data related to hotel attributes, new insights can be generated to shed light on different aspects of the relationship between hotel attributes and PP or other measures such as overall evaluation.

A data-driven model called FRBS is constructed using original verbal statements. Novel insights pertinent to relations between hotel attributes and PP have been extracted.

乏晰规则为本系统（FRBS）作为大数据分析的软计算方法, 接用旅游2.0数据来分析出哪个酒店属性或者相关酒店属性对于价格-效益（PP）有直接作用。

本论文采用FRBS以Fuzzy Set理论为基础, 采集2009年至2016年之间的HolidayCheck.de网站上的土耳其阿拉尼亚目的地的四星和五星酒店数据作为样本, 进行分析计算。

酒店个别属性并不对PP具有直接影响。至少两个或者以上属性加和对PP有直接影响。酒店属性与PP的关系并不是预想的那样线性关系, 而是非线性的。此外, 一些酒店属性起初并不对PP有影响, 而是直到其他属性达到一定的水平后才起反应。

本论文使用原始文本数据来构建以数据导向的FRBS模型。本论文给出了对于酒店属性和PP的关系相关的新型建议。