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This study aims to investigate the impact of the speed of change (trend) in information technology (IT) expenditures on performance risk indicated by revenue volatility in the US hotel industry.

To systematically investigate the impacts of IT expenditures on hotel performance risks, this study collects the same store proprietary data of 1,471 hotel properties from CBRE, a leading hotel consulting firm in the USA, from 2011 to 2017, with a total of 10,297 observations.

Econometric analyses are performed and results indicate a significant and positive impact of the speed of change of IT systems expenditures on the performance risk after comprehensively controlling for confounding factors following prior research.

With the increased importance of IT in day-to-day activities, hospitality business owners have started to quickly adjust their investment in IT infrastructure and superstructure to enhance their business performance. However, their fast-changing expenditures may introduce more risks to their businesses based on the speed–accuracy tradeoff, systems theory and the Schumpeterian Growth Model. This study is one of the pioneer projects that ever assessed the impact of IT expenditure and speed of change on performance risks of hotels.

科技创新（TBI）在酒店业提高消费者体验的实践中属于首选方法。了解哪些影响消费者接受酒店TBI的因素至关重要。本论文假设, 除了常用的科技接受模型以外, 消费者对科技的态度会影响到TBI接受度。

本论文开发了一个关于对科技的态度作用于TBI的模型, 并邀请受访者观看在一家行业尖端的连锁酒店中采用无钥匙登记流程的VCR, 然后完成调研问卷。本论文采用科技接纳量表TAP来衡量消费者对科技的态度。

科技态度对酒店订房意图, 作为消费者接受酒店TBI接受度的代表, 有很大的影响。然而, 科技态度只通过信任和好奇感两个中介变量来实现订房意图。

研究结果提供有用见解, 鼓励酒店通过介绍TBI服务积极增强消费者对科技的态度。

大多数研究电子商务接受度的文章往往专注在消费者使用产品或服务的态度变化或者情感倾向。相反, 本论文研究消费者对科技的态度作用于消费者接受酒店TBI服务的态度。本论文证明了对科技的态度显著影响了酒店TBI服务接受度。此外, 本论文还提供实践证明采用TAP量表来研究TBI服务的文章。

Examines a definition of hotels and the number of hotels in the countries of the UK. Indicates by country the proportions of hotel stock represented by the major grading schemes and guides. Analyses the schemes by number and quality of grade where appropriate, and each category by its share of the country′s hotel stock. Explains the difficulties of comparison between grades of different schemes, concluding that a percentage share of grades should be employed. Indicates with equivalence tables percentage shares of quality grades for the major comparable schemes. Concludes that although the numerical comparisons can be criticized because of minor differences in the schemes, a foundation is provided for more meaningful comparisons than has previously existed.

This paper aims to analyse the influence of environmental proactivity on cost and differentiation competitive advantages, and to explore the double relationship between environmental proactivity and business performance.

The population consists of all three- to five-star hotels in Spain. A sample of 350 hotels was classified according to environmental proactivity and performance levels, employing a two-step cluster analysis. Significant differences between groups were examined.

The results show two types of environmental behaviour (reactive and proactive), with proactive hotels developing significantly better on both cost and differentiation competitive advantage and achieving significantly higher performance levels. Hotels which achieve above average business performance levels are significantly more environmentally proactive.

The present paper demonstrates that environmental management is related to competitive advantages and business performance. Environmental management systems are more developed in higher category, chain-affiliated and larger hotels. This could be due to having more resources to develop their environmental capability. The environmental proactivity scale employed in this study is presented as a reference measure for hotel managers to benchmark their current practices and implement environmental improvements.

First, measuring environmental proactivity using four managerial systems (operative, information, strategic and technical) is innovative and provides a more detailed approach to measuring environmental proactivity. Second, demonstrating a double association between environmental proactivity and performance provides fresh insights into the relationship between these variables.

This work analyses make or buy decisions from the transaction cost economics perspective and the resource‐based view of the firm. The aim is to analyse the extent to which the presumptions of the two theories are valid in the service sector in terms of specific assets.

The study was conducted on a representative sample of hotels in Scotland, UK. Each of the surveyed hotels was asked for information about 13 operations or hotel processes. A comprehensive model is developed that establishes the relationship between asset specificity and operation performance and hotel or business performance, moderated by the form of governance (make or buy). Moreover, the relationship between asset specificity and outsourcing in the hotel sector is also examined. The different hotel processes are classified according to the asset specificity. The factors that could lead to an increase in the outsourcing strategy are also analysed.

The results indicate that, the relationship between asset specificity and operation performance is weaker when the operations are executed in‐house. In the case of the relationship between specific assets and performance, the findings regarding non‐financial performance are not contradictory since it is slightly higher when the operation is outsourced. The factors determining an increase in outsourcing would be those related to the quality of the operation and to non‐financial performance.

Previous studies have not considered the relationship between specificity and business performance, which gives extra incentive to complement and expand the literature on service operations. Future research should analyze other theories on organisations and outsourcing. The findings should also be tested in other geographical regions and use sources of information other than the hotel managers.

The work generates knowledge and aids managers in their “make or buy” decisions for the principal processes in the hotel industry according to the asset specificity.

The paper develops a specificity‐outsourcing matrix and identifies each of the hotel operations. Apart from testing the model in the hotel sector, which is an important sector of the service industry, the work offers a better understanding of outsourcing decisions based on the two basic theories used in the literature on services management. The paper also makes an innovative contribution by analysing relationships between operation specificity and performance that are previously untested in the service sector.

This study aims to use big data analysis and sheds light on key hotel features that play a role in the revisit intention of customers. In addition, this study endeavors to highlight hotel features for different customer segments.

This study uses a machine learning method and analyzes around 100,000 reviews of customers of 100 selected hotels around the world where they had indicated on Trip Advisor their intention to return to a particular hotel. The important features of the hotels are then extracted in terms of the 7Ps of the marketing mix. This study has then segmented customers intending to revisit hotels, based on the similarities in their reviews.

In total, 71 important hotel features are extracted using text analysis of comments. The most important features are the room, staff, food and accessibility. Also, customers are segmented into 15 groups, and key hotel features important for each segment are highlighted.

In this research, the number of repetitions of words was used to identify key hotel features, whereas sentence-based analysis or group analysis of adjacent words can be used.

This study highlights key hotel features that are crucial for customers’ revisit intention and identifies related market segments that can support managers in better designing their strategies and allocating their resources.

By using text mining analysis, this study identifies and classifies important hotel features that are crucial for the revisit intention of customers based on the 7Ps. Methodologically, the authors suggest a comprehensive method to describe the revisit intention of hotel customers based on customer reviews.

This study has a twofold purpose: to identify the competitive strategies and advantages of hotels located in the province of Alicante (Spain); and to inform hotel managers about how some key strategic variables (size, type of hotel management, category and competitive advantage) impact on hotel performance.

A study of the population was carried out using a questionnaire addressed to hotel managers. A principal components factor analysis was performed to identify business strategies. In addition, hotels were grouped together according to the key strategic variables and the degree of development of the different business strategies implemented.

A comparative study of the performance levels achieved by each strategic group was carried out for the purpose of checking whether any of them produced significantly higher performance levels. In the light of the results, if hotels are to achieve higher performance levels, they should preferably be medium or large sized, belong to a chain, increase their category and base their competitive strategy on improvement and dimension.

Strategic groups simplify the complex strategic reality in which hotel managers develop their professional activity. Thanks to the creation of these groups, managers acquire an aggregate knowledge of the business strategies and advantages of the hotels operating around their establishments and can equally be aware of the performance levels reached in each group analysed. This information also allows hotel managers to identify the strategic variables which must be developed to avoid being left behind inside their group in competitive terms or to join a different group which they may eventually consider more interesting in terms of strategy or performance.

This study provides a method to identify strategies and competitive advantages within the hotel industry and additionally suggests strategic actions for hotel managers to improve firm performance.

This exploratory study aims to focus on the challenges arising from the interactions between wheelchair users, individuals using crutches and blind people with the hotel environment as well as on the efforts to overcome these challenges.

The sample was gathered through a snowballing technique. The study utilizes in‐depth semi‐structured interviews of 45 participants: 20 used wheelchairs; ten were dependent on crutches; and 15 were blind. The data were subject to thematic content analysis.

Interpreted by the social model of disability, the results suggest that the challenges participants confront derive from the physical design of the environment as well as staff behaviors. Differences were found between the hotel experiences of people with various types of disabilities.

The sample was limited to Israeli participants.

The paper offers recommendations for hotel management with regard to specific physical as well as interpersonal means to alleviate apparent difficulties faced by people with disabilities in their hotel experiences.

This study broadcasts the genuine voice of people with disabilities. The findings are of special relevance to hospitality researchers, educators, executives, and hotel staff.

This study aims to propose a hotel life cycle model and applies this model to examine the development of international tourist hotels (ITHs) in Taipei.

In this study, a two-stage approach is proposed to examine the life cycles of 20 ITHs in Taipei. First, we evaluate the overall and departmental efficiencies by using a two-layer bootstrap data envelopment analysis (DEA) model. Second, we divide the phases of the hotel life cycle by incorporating two objective indicators, namely, the average efficiency change rate (AECR) and the annual average efficiency (AE).

The results show not only that the efficiency scores derived from the bootstrap DEA model could help assess the performance of individual ITHs but also that the resulting AECR and AE could help to objectively classify the development of the hotels under study into the following phases: initial, growth, maturity and recession and regeneration phases.

The method proposed in, and the results obtained from, this study can provide the stakeholders of the ITHs in Taipei with an alternative to the existing subjective enterprise life cycle (ELC) model for identifying these ITHs’ stages of development using quantitative and objective criteria.

Existing hotel management research rarely focuses on hotel life cycle analysis, likely due to the adoption of subjective criteria by the conventional ELC model, which limits the practical application of the research. To improve on the conventional ELC model, our proposed quantitative approach involves dividing the hotel life cycle by employing two objective indicators and then empirically presenting the results.

This study aims to identify the key hotel characteristics and facilities that significantly influence customer satisfaction based on Google review scores. By applying decision tree analysis, the research seeks to determine which aspects, such as service quality, hotel facilities and location, play pivotal roles in shaping customer experiences. The objective is to provide professional with practical recommendations to improve service quality and cultivate enduring customer loyalty.

The research used a data set collected from Hotels.com, featuring various characteristics of 802 hotels in Izmir Province. Decision tree analysis was conducted using Classification and Regression Tree algorithm to explore the relationship between hotel characteristics and facilities with customer satisfaction.

The analysis revealed that the number of rooms is the primary factor influencing hotel ratings, with proximity to the airport and hotel classification also being significant. Additional factors such as public transportation distance and laundry services were important, while facilities such as ATMs, beach access and spas showed no significant impact on customer satisfaction. These findings emphasize the importance of core facilities and accessibility.

This study contributes to the literature by offering a novel approach, using decision tree analysis to assess hotel customer satisfaction with structured data. It provides practical implications for hotel managers, enabling them to make data-driven improvements to achieve customer satisfaction. The integration rules created by the decision tree model into hotel management systems can enhance operational efficiency and competitive advantage in the hospitality industry.

Analyses the variety of loyalty programmes that exist within the UK corporate hotel sector. A literature review leads to the proposition that in order to be cost‐effective in stimulating repeat business, loyalty programmes should reflect the business environment in which they operate. Loyalty programmes vary in the extent to which they collect, analyse and use customer information. A conceptual framework is developed in which information management and customisation are related to each other. This proposition supports the argument that there is no single formula for the development of a successful loyalty programme within the hotel sector. Although questions are raised about how the effectiveness of a loyalty programme can be measured, the proposition that market characteristics, information intensity and level of customisation can influence the effectiveness of a loyalty programme, is accepted.