...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...

...) and diffusion of innovations theory (DIT) to fill this gap, offering crucial insights that could inform scholars and practitioners in both the tourism and technology sectors. Design/methodology/approach Using a big-data approach, the authors applied machine learning to scrape comments made by social media...

... with emotionality. Mengyu Fan can be contacted at: 0020220013@bipt.edu.cn 30 08 2023 01 12 2023 26 01 2024 28 01 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Customer engagement Big data Wine expertise Emotionality...

... Big data Customer segmentation Clustering k-means Increasing competition, new disruptive business models (Dolnicar, 2020b ; Xu et al., 2022) and customer-buying process modifications (Garrigos-Simon et al., 2017) have reshaped the tourism and hospitality industry...

...” and “deep learning” that was used as a robustness check. Moreover, the SLR findings were triangulated with recent literature reviews on related topics (e.g. big data and AI) to generate additional insights. Findings The findings of this study show that: there is a growing and accelerating body...

... on travel medicine and identify knowledge gaps (e.g. chronic diseases and mental disorders). Propose a conceptual model and future research directions (e.g. vulnerable populations, big data, interdisciplinary empirical studies and travel therapy). Travel is the most popular holiday activity...

... in the US hotel market from customer reviews on CGM. To measure hotel brand performance in the US hotel market, this study collected and analyzed user-generated big data for the top 5 US hotel chains through business intelligence, visualization analytics and statistical analysis. These integrated and novel...

...Zohreh Zara Zarezadeh; Raymond Rastegar; Zheng Xiang Purpose Guest experience and satisfaction have been central constructs in the hospitality management literature for decades. In recent years, the use of big data as an increasing trending practice in hospitality research has been characterised...

... 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only The purpose of this work is to survey the body of research revolving around big data (BD) and analytics in hospitality and tourism, by detecting macro topical areas, research streams and gaps...

... in ORs influences customers’ OR valence across 19 leading international hotels that have integrated mechanical AI – in the guise of service robots – into their operations. Artificial intelligence Robot proper name e-WOM Online review analytics Big data TripAdvisor There is growing...

..., the competitive productivity (CP) framework and studies pertaining to big data and big data analytics (BDA) within destination management information systems and smart tourism destinations. Second, this study examines the drivers of TDCP in the context of the ongoing 4th industrial revolution by conceptualizing...

... of tourists is related to the sample in terms of time frame of tracked movements, geo-coordinates of the geographical locations, or number of individuals involved in the study. Big Data Mobile positioning data Tourism region planning Tourism spatio-temporal behavior Tourism2vec Travel patterns...

... methodology applied on big data characterized by fine-grained time and spatial resolution; Second, this paper elaborates on those estimates’ usefulness for visitors and tourism public and private stakeholders, whose decisions are increasingly focusing on short-time horizons. Design/methodology/approach...

... of big data (BD) on the performance of service organizations and to probe for a deeper understanding of implementing BD, based on available technologies. An ethnographic study was conducted following an abductive approach. A primary qualitative research scheme was used with 35 information...

... Cross-cultural Big data Topic modeling Word frequency The paper aims to identify the emergent themes of hotel guests’ satisfaction, to compare the distribution of the attributes of the themes between Chinese and North American guests and to compare the importance of the themes for different...

... of data, called big data. The need for analysis is in high demand. This study aims to construct a model to investigate which single attribute or interrelated ones having an impact on the performances of hotels. The total number of 1,137 observations collected from the website HolidayCheck.de...

... of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode Signaling theory Big data Airbnb Binomial logistic model Booking probability Sequential Bayesian updating Sharing economy Hotels, as the most common type of accommodation that tourists use, have been...

... framework that helps to identify critical business problems and links the domains of business intelligence and big data to tourism and hospitality management and development is missing. Moreover, epistemological dilemmas and consequences for theory development of big data-driven knowledge are still a terra...

... knowledge co-production. It also discovers how community residents engage in reaching out to tourists by camouflaging as ordinary users. Big data Co-production Social media Camouflage Travel forum Visual analytics The establishment and proliferation of Web 2.0 and social media, as a new...