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For more than 40 years, researchers have examined an exhaustive set of attributes as price determinants in tourism and hospitality. In extending this rich research stream, this study aims to propose and empirically assess a new set of hotel attributes, namely, faith-based attributes that allow tourists to continue following the activities and rituals guided by their religions while on vacation.

Using the Bayesian quantile regression for the first time in the field of hotel pricing, the hedonic pricing models examine both internal and external faith-based attributes, namely, halal services, which cater to the needs of Muslim tourists, in a sample of 805 hotels across the top three non-Muslim country destinations (Singapore, Thailand and Japan).

By exploring the effects of faith-based (halal) attributes available in hotels located in the biggest cities of the above-mentioned destinations, this study provides evidence for the significant role of faith-based (halal) attributes in determining hospitality prices.

This study’s findings offer a resource for several implications for tourism and hospitality scholars, practitioners and policymakers, especially within the field of Muslim/halal tourism, to develop action plans and strategies.

This study is the first to introduce a novel set of faith-based hospitality attributes and empirically assess their impact on hospitality price formation. Additionally, it contributes to the hedonic pricing method by being the first to use the Bayesian quantile regression.

The study aims to investigate how hotel booking attributes (i.e. perceived privacy, perceived certification and perceived assurance) engender consumers’ untrust and consequent behavioral intentions (i.e. altruistic behavior and trusting intentions). It also unveils the role of hotel attributes performance as a moderator between hotel booking attributes and consumers’ untrust.

Data were collected through an online platform by engaging 454 Chinese respondents. SPSS 25.0 and AMOS 24.0 (structural equation modeling) were used for data analysis and interpretation.

Results demonstrate that hotel booking attributes positively substantiate consumers’ untrust which, in turn, develops altruistic behavior and negative trusting intentions. Moreover, hotel attribute experience significantly moderates the relationships between perceived privacy, perceived certification and consumers’ untrust. Notably, hotel attribute performance insignificantly influences the association between perceived assurance and untrust.

This study used the Chinese context and examined Chinese domestic travelers and the nonbranded hotel industry. Notwithstanding its limitations, the findings help hospitality and tourism firms, en bloc, to manage their review websites by explicitly disclosing policies regarding customers’ privacy and assurance, winning their trust through third-party certification and employing data scientists to develop algorithms to sieve fake information proactively.

This study develops an original conceptual framework by using the untrust model in this research. Our findings add to the research on consumer behavior, information processing, service management and trust and suggest practical implications for hospitality firms.

Importance-performance analysis (IPA) is an effective tool for firms to prioritise service quality attributes, but has limitations in evaluating and enhancing service quality within a competitive environment. The purpose of this paper is to present an evolved model of IPA – importance-performance benchmark vectors (IPBV) – as a benchmarking tool and investigate its applicability in the context of hotel service quality.

Empirical studies based on self-completion survey data from 150 customers of two full-service hotels in Taiwan were conducted in to examine the practical utility of IPBV.

Eight key benchmark typologies were identified and expressed as vectors in the IPBV model which are as follows: “sustainable advantage”, “potential strength”, “false advantage or outstanding advantage”, “cease-fire competition”, “false disadvantage or on-hand disadvantage”, “potential weakness”, “dangerous warning” and “head-on competition”.

The paper extends the methodology to more cases, and other service industries to test further the discriminatory power of the model and to explore the descriptors in the IPBV vector model. Alternative seven-point or nine-point Likert scales could be explored to test the discriminant validity using means. The alternative IPA diagonal approach focussing on GAP analysis may reveal alternative interpretations for the IPBV vector model. Other extended models of IPA, which include competitor analysis, should be compared in practice using a data set where both quantitative and qualitative data could be generated.

The paper proposes the two-dimensional IPBV model which retains the advantages of IPA, but also includes competitor or benchmark comparisons which enable organisations to analyse their relative competitive position. The two-part model provides both quantitative information and qualitative interpretation of relativities. The graphical matrix models provide simple quantitative analysis of attributes, whilst the IPBV vector model provides qualitative interpretations of the eight competitive market positions. Vector analysis enables the development of competitive strategies relative to benchmarks, or within a competitive set. Importance is retained and means that organisations can benchmark against a range of competitors prioritising specific attributes for resource allocation.

The interpretive utility of the model should be explored with practitioners and decision makers in the service industries. The model has been designed for practical use in industry to inform operational and strategic decision making, its usefulness in practice should be explored and the attitudes of practitioners to the model should be tested.

Traditional approaches to benchmarking have adopted a one-dimensional approach that does not include a measure of the relative importance of the service quality dimensions in specific markets. This research develops a two-dimensional advanced model of IPA, called IPBV, which is based on vector relationships between key attributes of service quality. These vectors are explored and described in competitive terms and the model is discussed with regard to its implications for industry, practitioners and researchers.

To address critical research gaps in the extant literature, the present study develops a model that links language constraints in hotel attributes—core and facilitating––with consumers' offendedness (CO) and examines the consequent behavioral intentions of an offended consumer. For this purpose, it investigates (1) the role of language constraints in core and facilitating attributes in shaping CO, (2) how CO relates to adverse behavioral outcomes and (3) the moderating role of attribution of service failure (ASF) between language constraints and CO.

The present research used convenience sampling and collected data from 398 inbound tourists in Beijing through a survey questionnaire. The study performs measurement and structural evaluation by employing Amos Graphics 24.0 and moderation analysis through IBM SPSS 25.0.

The study examines language constraints in China's hospitality context, which restricts its generalizability. However, it serves as a better approach to examine the tourists who visit other Western hotels in China and unveils the factors contributing to CO.

The study examines language constraints in Chinese hotels, which restrict its generalizability. It serves as a better approach to examine the tourists who visit other Western hotels in China and unveils the factors contributing to CO.

Few studies validate communication barriers in service encounters in hotel services and apprehend related outcomes. The present study takes a unique initiative in the context of China and examines the role of language constraints in core and facilitating hotel attributes in service encounters at Chinese hotels. This study informs the Chinese hotel industry and international destination firms to understand the language constraints in service encounters to further their strategies to overcome threats and tap potential opportunities.

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。

This study aims to examine the role of experiential familiarity in determining the competitiveness of hotel chains. It does so by comparing the attribute-performance perceptions of guests who had and had not previously stayed at a property belonging to a specific hotel chain. It also examines how far such perceptions shape word-of-mouth and future purchase intentions.

Data were collected from 1,016 Finnish leisure tourists in 2021 using an online questionnaire, providing a representative sample of Finnish domestic leisure tourists.

The results indicate that the competitiveness of different hotel chains depends on a small number of key attributes. Differentiation between hotel chains can be seen from the results. Previous guests rate hotel chain attributes more highly than non-previous guests. Behavioral intentions do not differ between previous and non-previous guests, but how many times a person has stayed in the hotel chain significantly influences behavioral intentions. The results provide strategic levers that hotel chains can use to enhance their competitiveness.

Hotels should invest in attributes that have the biggest positive impact on customer behavior. These will be different for different hotel chains. By understanding these differences, it is possible to communicate relevant attributes to customers through marketing and develop hotel features that will drive revisit intention and word-of-mouth marketing.

This study found that while certain hotel attributes had a significant shaping effect on guests’ performance ratings, there were no decisive differences between those with or without experiential familiarity with the hotel chain.

The purpose of this study is to examine the impact of key decision-making attributes on consumers’ choice of accommodation among and between hotels and Airbnb.

The study used a choice-based conjoint approach using 21 key decision-making factors that impact consumers’ choice of accommodation across five segments ranging from economy to luxury. Latent class estimation was used to identify segments of respondents who tend to have similar preferences for accommodation.

The results showed the presence of a consistent pattern of decision-making across the five accommodation segments, culminating in a hierarchy of importance in accommodation choice. The 21 key decision-making attributes comprised three tiers in order of decreasing importance: quality and service, amenities, and accessibility and safety. Further, latent class analysis indicated the presence of a hotel group and an Airbnb group of customers, which allowed us to identify how both types of providers might maximize the value of their offers to encourage customer switch.

The accommodation landscape is extremely dynamic (particularly as the COVID-19 pandemic unfolds) and complex. The present study cannot capture all of its intricacies but provides an invaluable foundation for future research on the topic of consumer choice in an evolving and competitive accommodation market.

Extant research on accommodation choice has focused on hotels or Airbnb only. Moreover, research that has considered both types of accommodation simultaneously is limited in its conceptual and methodological scope. The present study synthesizes the fragmented literature on consumers’ accommodation choices and offers a holistic and coherent schematic – the hierarchy of importance in accommodation choice – that can be used by future researchers and practitioners alike.

This paper seeks to explore the performance of UK hotels, in terms of various service attributes, and whether it influences customers' intention to stay again.

Data are used from online customer ratings of 664 hotels in the UK for the purpose. The approach is based on an interesting use of statistical regression reported in the literature that attempted to classify different cues in hotels as critical, satisfier, dissatisfier, etc. In this study, six prominent attributes are considered, namely: customer service, cleanliness, room quality, value for money, quality of food, and family friendliness, rated by guests, based on their experiences of staying in hotels.

The findings reveal that “Value for money” is a critical attribute, while “Customer service”, “Room quality” and “Quality of food” are dissatisfiers. Business guests, and guests of independent hotels, exhibit similar behavior, but for leisure guests, and guests of chain hotels, “Value for money” is a dissatisfier.

“Value for money” is a critical attribute, in that good performance, in terms of this attribute, is critical for positively influencing guests' intention to stay again; however, failures in terms of this attribute cannot be compensated by improving service in terms of other attributes. There are three dissatisfier attributes (“Customer service”, “Room quality”, and “Quality of food”), implying that an inadequate performance in terms of these attributes could significantly adversely impact guests' intention to stay again.

This study would appear to be the first to use the extensive data available on the internet on guest ratings of hotels.

The purpose of this study is to identify the importance of hotel attributes for pre-senior and senior tourists when selecting a hotel.

Three market segments (German, Dutch and British) were selected as the sample of the research. The Callan and Bowman’s (2000) scale was employed and data obtained from 13 five star hotels in Antalya, Turkey.

Results of the study showed that “value for money” and “availability of organized entertainment in the hotel” were important attributes for senior British tourists when compared to other participants. Dutch senior tourists attached more importance to food service attributes (“small food portions” and “special dietary menus”) than did the other respondents.

Research results confirmed the importance of staff attributes (“politeness of staff” and “friendliness of staff”) for customer satisfaction. This finding highlights the need for training programmes targeting hospitality employees, with a specific focus on meeting customers’ demands for receiving friendly and polite service.

The present study intends to contribute to the literature on senior tourist market by identifying the importance of hotel attributes for three market segments (Germany, England and The Netherlands).

This paper aims to explore the underlying structure of wellness in upper-upscale and luxury hotels and the roles wellness attributes play in customer satisfaction and dissatisfaction.

This study uses a mixed methods approach consisting of content analysis and social media analytics. In Study 1, the authors integrate and review the structure of wellness attributes by conducting a literature review on prior research on wellness and analyzing websites of upper-upscale and luxury hotels. In Study 2, the authors implement text analytics and regression analysis to determine the roles of wellness attributes in customer satisfaction and dissatisfaction by examining the final data gathered from 141,973 reviews of 226 upper-upscale and luxury hotels in NYC.

This research introduces the underlying structure of wellness in the upper-upscale and luxury hotels. Findings demonstrate a significant relationship between wellness attributes and customer satisfaction/dissatisfaction. This study shows each wellness attribute’s specific roles in customer satisfaction and dissatisfaction through the Kano model.

The current study extends the research on wellness by discovering the underlying structure of wellness in the upper-upscale and luxury hotels. Based on the Kano Model, the study reveals specific roles of wellness attributes regarding their dichotomous impact on customer satisfaction and dissatisfaction. The study makes a novel approach to the topic of wellness through a mixed methods approach consisted of content analysis and social media analytics. Analyzing online customer reviews derived from TripAdvisor.com, the study provides an in-depth insight and understanding of customers’ perceptions of wellness attributes.

The study guides hotel operators to perform wellness attributes by defining the unique roles of wellness attributes in customer satisfaction and dissatisfaction. Using the findings of the current study, hotel operators can prioritize wellness attributes regarding their core strategies and provide satisfying wellness attributes to customers.

Prior research merely focuses on hotels in wellness destinations or wellness-focused hotels with a lack of research on wellness offered in the general lodging industry. This research fills the gap by discovering the underlying wellness structure embedded in the general lodging industry, specifically in the upper-upscale and luxury hotels.