...Nasim Binesh; Kushi Vardhan Reddy Pasham; Gidon Jakar; Ahmad Mujafar Syah Purpose In this study, the authors used advanced machine learning ( ML ) models combined with game theory concepts to predict the occupancy of Airbnb properties. By leveraging big data and explainable artificial intelligence...

...Xiaoyan Chen; Forest Ma; Jing Li; Xueqian Hu; Wentong Jia Purpose Using service-dominant logic ( SDL ) as the theoretical framework, this study aims to explore how perceived coolness influences brand love through customer engagement, brand identification and co-creation behavior in the Airbnb...

... the least adversely impacted. Interestingly, and consistent with emerging consumer needs suggested by spatial distance theory, the pandemic does not have significant negative effects on Airbnb. The adverse impact of the pandemic on hotels was exacerbated in more restrictive states, while Airbnb remained...

... several limitations of the use of three major data sources, namely, web scraping with self-made bots, inside Airbnb and AirDNA, for sharing economy research. The review shows that the majority of the selected papers did not acknowledge any limitations, nor did they discuss the quality of the data sources...

...Juan Luis Nicolau; Abhinav Sharma; Hakseung Shin; Juhyun Kang Purpose To provide a dynamic view on accommodation choice behaviors during the pandemic, this study aims to examine the impact of recent trends on prospective travelers’ preferences for hotels and Airbnb. Design/methodology/approach...

.../methodology/approach By using key CSR models, this paper reflects on the nexus between CSR and P2P accommodation (with a focus on Airbnb) to identify opportunities and challenges with regard to CSR implementation in P2P accommodation and, thereby, progress the research agenda on the topic. Findings...

...Indranil Ghosh; Rabin K. Jana; Mohammad Zoynul Abedin The prediction of Airbnb listing prices predominantly uses a set of amenity-driven features. Choosing an appropriate set of features from thousands of available amenity-driven features makes the prediction task difficult. This paper aims...

... of two-sided review systems, this study aims to investigate how guests’ prior reputation influences their subsequent satisfaction on Airbnb. This study applied a conceptual framework based on social capital theory to explain the effect of guests’ reputation decided by hosts’ prior evaluations...

...Mingming Cheng; Maggie Hu; Adrian Lee Purpose Taking a global perspective, this paper aims to examine the impact of COVID-19 on Airbnb booking activities through three critical perspectives – the initial Wuhan lockdown, local COVID-19 cases and local lockdowns. Design/methodology/approach...

...Chunhui Zheng; Jia Zhang Purpose Airbnb attempts to stimulate consumer imagination and expectations of home through storytelling before their stay. The purpose of this study is to gain a holistic understanding of the psychological mechanisms by which brand storytelling can evoke consumer...

...Jing Li; Kevin Kam Fung So; Simon Hudson Purpose Guided by memory-dominant logic, this study aims to examine how Airbnb experiences (i.e. home benefits, social interaction and authenticity) lead to memorability, which subsequently results in platform attachment and loyalty. The mediating role...

... the impact of key decision-making attributes on consumers’ choice of accommodation among and between hotels and Airbnb. Moreover, given that consumers are increasingly substituting hotels with homesharing alternatives across different segments of accommodation, we examine how these decision-making attributes...

... This study aims to present a novel examination of actor value formation (AVF) in the sharing economy by uncovering its key dimensions (i.e. information seeking, personal interaction and feedback) at each stage of Airbnb consumption. Using multi-source data, how the key dimensions of AVF affect consumers...

... rights only This study aims to explore the influence of different types of cleanliness information provided on the Airbnb platform (hosts’ sanitation labels, Airbnb cleaning protocol and previous guests’ reviews) on guests’ trust and behavioral intentions. This study uses an online...

...Hanqin Qiu; Dongzhi Chen; Jian-Wu Bi; Jiaying Lyu; Qinghui Li Purpose This study aims to explore the dimensions and sub-factors of Airbnb hosts’ affinity-seeking strategies. It also aims to build a conceptual framework of hosts’ affinity-seeking strategies and their impact on Airbnb guests...

... emphasized the importance of understanding the moderating effects of tripographic characteristics in the relationships between customer values and existing users’ evaluative judgment of Airbnb experiences. This paper aims to investigate the roles of different types of customer value in influencing...

...Anna Farmaki; Elena Spanou; Prokopis Christou Purpose Following Airbnb’s recent turn to the luxury market, this paper aims to explore how Airbnb hosts construct meanings of luxury as enacted in their hosting practices. Design/methodology/approach Semi-structured interviews with 46 Airbnb hosts...

... are of particular relevance to hospitality and tourism researchers. The founding of VRBO (1995), HomeAway (2005), Airbnb (2008), Uber (2009) and Lyft (2012), among many others, has attracted the attention of researchers, as these sharing companies represent a radical departure from the typical business model...

...Ruggero Sainaghi; Rodolfo Baggio The results show that Airbnb hosts and hotels have different seasonal patterns. The diverse occupancy trends support the absence of direct competition between Airbnb and hotels. The findings are consistent in the two analyzed cities (Milan and Rome...

... future development and implications for consumers, the economy, and society. To date, no scientific research is available that develops scenarios about the future of accommodation sharing. Forecasting Delphi Scenario Airbnb Accommodation sharing The sharing economy (SE) has attracted...