...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...

... (Alba and Hutchinson, 2000 ; Lichtenstein et al., 1982 ; Shanteau and Stewart, 1992) while simultaneously displaying higher confidence in their respective domains (Kruger and Dunning, 1999). Customer engagement Big data Wine expertise Emotionality Evaluative Lexicon Online wine...

... and valuable LPs with personalized strategies and rewards. Paulo Rita can be contacted at: prita@novaims.unl.pt Loyalty Hotel loyalty programs Big data Customer segmentation Clustering k-means Increasing competition, new disruptive business models (Dolnicar, 2020b ; Xu et al...

...” 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...

... for hospitality academics and practitioners. Travel medicine Hospitality Mental disorders Medical science Interdisciplinary research Big data Travel therapy Introduce an under-investigated concept, travel medicine, into hospitality. Redefine travel medicine and expand its service scope...

... 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...

...Marcello Mariani; Rodolfo Baggio © 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...

... pioneered the adoption of service robots. Second, by deploying big data techniques, the authors gathered the entire population of ORs hosted on TripAdvisor (almost 50,000 ORs) and generated OR analytics. Subsequently, the authors used ordered logistic regressions analyses to understand if and to what extent...

..., 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...

.... Moreover, clusters of municipalities obtained from the K-means algorithm do not entirely align with the provincial administrative segmentation. Big Data Mobile positioning data Tourism region planning Tourism spatio-temporal behavior Tourism2vec Travel patterns Tourism regions...

... 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...

...Nikolaos Stylos; Jeremy Zwiegelaar; Dimitrios Buhalis Big data IT experts Online focus groups Tourism organizations BD-specific framework The dominant role of the temporal dimension in business and particularly in marketing, has been documented since the 1990s, with Glazer...

... between Chinese and North American guests and to compare the importance of the themes for different satisfaction levels between Chinese and North American guests from a cross-cultural perspective. Satisfaction Cross-cultural Big data Topic modeling Word frequency Customer satisfaction has...

...Murat Alper Basaran; Seden Dogan; Kemal Kantarci Seden Dogan can be contacted at: seden.dogan@omu.edu.tr 29 03 2019 22 09 2019 08 12 2019 10 02 2020 Three initials describe the major characteristics of Big Data (Acharjya and Kauser, 2016 ; Brock and Khan, 2017...

...://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 extensively investigated in an effort to develop...

...-use rights only This study contributes to explore in depth and systematically to what extent hospitality and tourism scholars are aware of and working intendedly on business intelligence and big data. To the best of the authors’ knowledge, it is the first systematic literature review within...

... and Law, 2014) and contributes to extant methodological literature on the analysis of big data by introducing a novel visual analytics approach. Practical implications are provided for DMOs, tour operators and social media sites. The paper is structured as follows. It starts with a literature review...