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Airlines use various analytical techniques to optimally control seats in its various fare classes. Most literature on inventory control does not discuss policies for group arrivals. This study aims to address the literature gap in determining an optimal booking policy which considers the dynamics of group behaviour with respect to cancellations and refunds.

An analytical model by which bid price control mechanism can be applied to group bookings is developed through this study.

Numerical experiments are performed to demonstrate the analytical model under various scenarios. A comparison of the model with the traditional model indicates an increase in the total revenue generated.

The novelty of this work is in modelling the dynamics of group behaviour in a network of flights, and it contributes to the literature on revenue management.

The purpose of this study is to develop a model that accurately forecasts hotel room cancelations and further determines the key cancelation drivers.

Predictive modeling, specifically the machine learning methods, is used to forecast room cancelations and identify the main cancelation factors.

By using three different classification algorithms, this study demonstrates that hotel room cancelation can be accurately predicted using XGBoost, as well as the ensemble method involving Support Vector Machine, Random Forest and XGBoost.

This study attempted to forecast hotel room cancelations by applying a relatively new method, machine learning. By implementing predictive modeling, one of the most emerging and innovative research methods, this study ultimately provides prediction suggestions in various aspects and levels for hotel management operations.

本研究旨在开发一个能够准确预测酒店客房取消的模型, 并进一步确定主要的取消因素。

采用预测建模, 具体来说是机器学习方法, 来预测客房取消, 并识别主要的取消因素。

通过使用三种不同的分类算法, 本研究表明使用XGBoost以及涉及支持向量机、随机森林和XGBoost的集成方法可以准确预测酒店客房取消。

本研究尝试通过应用相对较新的方法, 即机器学习, 来预测酒店客房取消。通过实施预测建模, 这是目前新兴和创新的研究方法之一, 本研究最终为酒店管理运营在各个方面和层面提供了预测建议。

The purpose of this paper is to review the extant literature on Airbnb – one of the most significant recent innovations in the tourism sector – to assess the research progress that has been accomplished to date.

Numerous journal databases were searched, and 132 peer-reviewed journal articles from various disciplines were reviewed. Key attributes of each paper were recorded, and a content analysis was undertaken.

A survey of the literature found that the majority of Airbnb research has been published quite recently, often in hospitality/tourism journals, and the research has been conducted primarily by researchers in the USA/Canada and Europe. Based on the content analysis, the papers were divided into six thematic categories – Airbnb guests, Airbnb hosts, Airbnb supply and its impacts on destinations, Airbnb regulation, Airbnb’s impacts on the tourism sector and the Airbnb company. Consistent findings have begun to emerge on several important topics, including guests’ motivations and the geographical dispersion of listings. However, many research gaps remain, so numerous suggestions for future research are provided.

By reviewing a large body of literature on a fairly novel and timely topic, this research provides a concise summary of Airbnb knowledge that will assist industry practitioners as they adapt to the recent rapid emergence of Airbnb.

This is the first paper to review the extant literature specifically about Airbnb.

本论文旨在审视过去文献对Airbnb的研究-旅游业中最显著发明之一-以衡量迄今为止的研究发展历程。

经过大量文献搜索，共132份同行评审型期刊文章，来自不同研究领域，被作者审阅。每个文章的关键词被摘抄出来，本论文采用内容分析方法来分析文本。

经过文献综述，作者发现大多数Airbnb研究都发表在近几年，往往发表在酒店/旅游期刊。期刊文章作者集中在美国/加拿大和欧洲。基于内容分析结果，发表的期刊文章被分类在六个主题-Airbnb顾客、Airbnb服务提供主、Airbnb供应商、以及其对旅游目的地的影响，Airbnb规范、Airbnb对旅游行业的影响、以及Airbnb公司。研究结果还归纳出几项重要的话题，包括顾客动机和民宿地理分布。然而，大多数研究空缺仍然存在，因此，本论文总结出多项未来研究方向。

本论文通过审阅大量较新和及时的文献，对Airbnb的相关知识进行了精准梳理，这个研究结果对从业者适应Airbnb较新较快发展的现象，有着实践意义。

本论文是首篇审阅有关Aribnb文献的文章。

Airbnb、文献综述、共享经济、P2P、短期出租

The purpose of this paper is to verify the hypothesis that seasonality in the peer-to-peer (p2p) market for tourist accommodation is smaller than the existing in conventional markets, taking the case of the island of Majorca as a reference. This paper will also determine the role of professional hosts in the management of prices and in the marketing of accommodation according to seasonal demand variations.

From the information obtained through web scrapings of Airbnb listings and from data provided by official statistics, comparable indicators of seasonality are developed. Likewise, econometric estimates are provided to detect differences regarding the determination of accommodation prices between professional and nonprofessional hosts.

The p2p market is less subject to seasonality than the conventional one. In the particular case of Palma de Majorca, fluctuations in accommodation demand are even smaller than in the rest of the island's municipalities. Professional hosts apply marketing techniques related to price and product promotion and are sensitive to demand variations altering prices and responding to the economic stimuli in this way. At an academic level, these findings suggest, on the one hand, the relevance of considering the heterogeneity of the touristic market when constructing theoretical models. And, on the other hand, basic economic principles should be applied to explain agent behavior in the p2p market.

This work does not use a direct demand measurement. Instead, it approximates demand through the reviews left by guests in p2p markets. At least in the case of the island of Majorca, the touristic demand represents a reduced percentage of touristic demand in total.

So far, both public and private strategies to combat seasonality have focused on increasing occupancy in conventional accommodation. Still, the fact that hotel demand and private accommodation demand are different has relevant implications for price management, touristic products, supply planning and the implementation of marketing campaigns. Also, advertising could be aimed at alleviating the undesirable effects of seasonality.

The evidence presented helps the design of public policy strategies aimed at mitigating the problem of seasonality in touristic demand to accommodate it to social preferences in each area.

This is the first piece of research, as far as we are aware of, that addresses the phenomenon of demand seasonality in the p2p market for tourist accommodation. In addition, a comparison is made with the seasonal patterns that characterize the conventional hotel market. New ideas are provided for the design of a comprehensive touristic policy in which both markets are considered.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.

A growing body of research from various domains has investigated Airbnb, a two-sided market platform for peer-based accommodation sharing. The authors suggest that it is due time to take a step back and assess the current state of affairs. This paper aims to conflate and synthesize research on Airbnb.

To facilitate research on Airbnb and its underlying principles in electronic commerce, the authors present a structured literature review on Airbnb.

The findings are based on 118 articles from the fields of tourism, information and management, law and economics between 2013 and 2018. Based on this broad basis, the authors find that: research on Airbnb is highly diverse in terms of domains, methods and scope; motives for using Airbnb are manifold (e.g. financial, social and environmental); trust and reputation are considered crucial by almost all scholars; the platform’s variety is reflected in prices; and the majority of work is based on surveys and empirical data while experiments are scarce.

Based on the present assessment of studied topics, domains, methods and combinations thereof, the authors suggest that research should move toward building atop of a common ground of data structures and vocabulary, and that attention should focus on the identified gaps and hitherto scarcely used combinations. The set of under-represented areas includes cross-cultural investigations, field experiments and audit studies, the consideration of dynamic processes (e.g. based on panel data), Airbnb’s “experiences” and automated pricing algorithms and the rating distribution’s skewness.

This study provides a comprehensive overview of work on the accommodation sharing platform Airbnb, to the best of the auhtors’ knowledge, representing the first systematic literature review. The authors hope that researchers and practitioners alike will find this review useful as a reference for future research on Airbnb and as a guide for the development of innovative applications based on the platform’s peculiarities and paradigms in electronic commerce practice. From a practical perspective, the general tenor suggests that hotel and tourism operators may benefit from: focusing on their core advantages over Airbnb and differentiating features and aligning their marketing communication with their users’ aspirations.

This case study provides in-depth, practical knowledge to develop business strategies for the management program. After reading this case study, the students will be able to learn about the challenges and problems that service firms face during a crisis, the drastic changes in the market environment due to a crisis and the analysis tools that can be used when analyzing the shifted market environment. By analyzing this case study, students will be trained for the decision-making that arises in the process of crisis management in the hotel industry.

Nam Nghi Resort, situated on the picturesque Phu Quoc Island in Vietnam, experienced the tumultuous period of the COVID-19 pandemic. Before the pandemic, Nam Nghi was a thriving five-star resort, deeply rooted in Vietnamese culture and renowned for its luxurious amenities and breathtaking location. However, the onset of COVID-19 brought unprecedented challenges to the hospitality industry, leading to a sharp decline in tourism and revenue. Despite the adversity, Nam Nghi implemented risk management practices successfully and displayed resilience and adaptability. Through rigorous cost minimization, strategic facility upgrades and targeted marketing efforts, Nam Nghi managed to navigate the crisis and gradually rebuild its business as travel restrictions eased. As the industry began to show signs of recovery, the general manager faced new challenges in restoring the resort’s prepandemic vitality. The challenge remained of understanding changing consumer values and market dynamics.

This case study can be used as class material for Master of Business Administration (MBA) students. In particular, MBA students in the hospitality industry such as hotels, resorts, travel agencies and restaurants are the target audience.

Teaching notes are available for educators only.

CSS 12: Tourism and hospitality.

The hosts' third-party certifications in the sharing accommodation platforms have largely overlooked how the provision of such certification information could facilitate the trust-building process and subsequently influence consumers' purchase intention. Adopting an institution-based trust perspective, the authors differentiate various types of hosts' certification information (i.e. financial certification and social certification) and examine their role in the trust-building process between the hosts and the customers on sharing accommodation platforms.

This study uses the property-month level data of Airbnb Beijing from January 2019 to June 2020. Econometric analyses are adopted to evaluate the impact of institution-based trust on consumers' purchase intention. Specifically, the ordinary least square is used to testify the relationship between institution-based trust and purchase intention.

The empirical results show that the information on institution-based trust increases the likelihood that customers would reach purchase decisions. More importantly, results show that both financial certification and social certification affect consumers' purchase intention. The results further show that listings' attributes moderate the relationship between institution-based trust and customer purchase intention. Moreover, the authors find that “Superhost” and “Experience” positively moderate such relationships.

This paper confirms that the host certification fosters institution-based trust and reveals the impact of hosts' certification on consumers' purchase intentions. This study is among one of the first studies to incorporate institution-based trust into the trust formation on the sharing economy platform, which can improve the understanding of trust in the sharing economy context. The authors emphasize the importance of trust types on sharing economy platforms.

This paper seeks to explore how Indian buying firms practise an open book (OB) policy in supplier relationships in three industries, i.e. the vehicle industry, the construction industry and the information technology industry. It also aims to study determinants of open book practices.

Application of the OB policy is operationalised as the nature of open book practices, the extent and stage of data disclosed, the form of data disclosed, the direction of data disclosed, the attitude towards cost data disclosed, and the purpose and conditions of data disclosed. Determinants of the open book policy comprise characteristics of the exchange, the product, the buyer, the supplier and the supply market. Qualitative data were collected in the form of 22 interviews with representatives of three buying organisations and several of their suppliers in order to build three case studies.

The results suggest that the OB policy is used by buyers for diverse purposes ranging from strategic to operational, for example value engineering at the product development stage, to ensure supplier margins, for self improvements and cost reductions, and country entry decisions. Similarly, the data shared ranged from narrow to wide in scope and scale. Suppliers' attitudes ranged from fairly neutral to very negative towards open books. Power asymmetries, the number of alternative suppliers, product performance characteristics and value, incentives offered, and buyer efforts were found to influence OB practices.

Experiences gained from employing an OB policy in vehicle manufacturing suggests that firms in other industries can better leverage the use of open books for joint problem solving, equitable profit sharing and supplier selection.

The paper highlights that an OB policy can have broader applicability than recognised by many past studies and indicates that it can serve purposes of strategic decision‐making. It can also be an integrated part of a buyer's risk reduction strategy. Further, the study provides specific recommendations for Indian companies with regard to the application of an open book policy.

The purpose is to review public policies and government interventions in the book publishing industry, a sector where public policies have blossomed. The paper concentrates on five major issues: intellectual property rights and issue of infringements (piracy), the debate about the fixed price of books (vs free market) or the agency versus wholesale models, VAT discrimination between printed books and e-books, the role institutions like libraries and registration authorities, and competition issues.

This article is based on an extensive set of research initiated by the EC JRC IPTS on the “Statistical, ecosystems and competitiveness analysis of the Media and Content Industries”. The research implied an extensive review of the literature, meetings with players and validation workshops. This paper focuses more on the analysis of policy documents and position of players.

The paper shows a growing discrepancy between the leading position of the EU publishing industry and its position in on-line distribution and production of e-books. The EU leads the global publishing market, with companies like Bertelsmann, Hachette or Pearson. However, compared with the USA, in the EU, the e-book market is still negligible. The European e-book market is fragmented, expanding fast in the UK and lagging behind in other Member States. As digitisation of books and earlier on-line distribution of physical books are changing the landscape, the paper considers potential policies at EU level to coordinate, accompany and speed up the process of digitalisation.

The article stems from the research initiated by the IPTS on the “Statistical, ecosystems and competitiveness analysis of the Media and Content Industries” (MCI). This research was based on a review and synthesis of the available literature, desk research. The results were reviewed by experts from the book industry at dedicated meetings. The paper does not cover other important public policy issues such as the role in the functioning of democracies, triggering consequent rights and responsibilities with respect to human rights, democracy, and freedom of information and cultural diversity.

To contribute to the debate about the policies needed for the economic health and development conditions that will support the future competitiveness of the book publishing industry. There is a need to better understand if policies designed for the physical world will be effective in a digital world. Distribution is very different in a digital world from physical distribution; these supply-side policies may reach their limits.

In the media and entertainment markets, the book market is the only one where EU companies (Bertelsman, Hachette, Pearson, Wolters Kluwer) lead. However, this industry is one of the less covered segments of these markets. Besides, the paper combines a review of legacy policies such as copyright, fixed prices, and issues raised by the digital shift such as VAT discrimination between physical books and e-books.