A critical reflection on analytics and artificial intelligence based analytics in hospitality and tourism management research
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[1] Andrew Nguyen,et al. ARTIFICIAL INTELLIGENCE FOR THE REAL WORLD , 2023, International Research Journal of Modernization in Engineering Technology and Science.
[2] Jochen Wirtz,et al. Corporate Digital Responsibility in Service Firms and Their Ecosystems , 2022, Journal of Service Research.
[3] Anil Bilgihan,et al. Leveraging data analytics to understand the relationship between restaurants’ safety violations and COVID-19 transmission , 2022, International Journal of Hospitality Management.
[4] Zheng Xiang,et al. Big data analytics and hotel guest experience: a critical analysis of the literature , 2022, International Journal of Contemporary Hospitality Management.
[5] N. Kasabov,et al. Artificial intelligence: a systematic review of methods and applications in hospitality and tourism , 2021, International Journal of Contemporary Hospitality Management.
[6] Marcello M. Mariani,et al. AI in marketing, consumer research and psychology: A systematic literature review and research agenda , 2021, Psychology & Marketing.
[7] Marcello M. Mariani,et al. Big data and analytics in hospitality and tourism: a systematic literature review , 2021, International Journal of Contemporary Hospitality Management.
[8] A. Kirilenko,et al. Sentiment analysis in hospitality and tourism: a thematic and methodological review , 2021, International Journal of Contemporary Hospitality Management.
[9] Jochen Wirtz,et al. Service robots, agency and embarrassing service encounters , 2021, Journal of Service Management.
[10] Marcello M. Mariani,et al. Customers’ evaluation of mechanical artificial intelligence in hospitality services: a study using online reviews analytics , 2021, International Journal of Contemporary Hospitality Management.
[11] Anil Bilgihan,et al. When artificial intelligence meets the hospitality and tourism industry: an assessment framework to inform theory and management , 2021, Journal of Hospitality and Tourism Insights.
[12] Minwoo Lee,et al. Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making , 2021 .
[13] Marcello M. Mariani,et al. Explaining the intention to use digital personal data stores: An empirical study , 2021 .
[14] Dimitrios Buhalis,et al. Big data empowered agility for dynamic, volatile, and time-sensitive service industries: the case of tourism sector , 2021, International Journal of Contemporary Hospitality Management.
[15] Yiran Liu,et al. Extracting revisit intentions from social media big data: a rule-based classification model , 2021 .
[16] Shikha Aggarwal,et al. Reading between the lines: analyzing online reviews by using a multi-method Web-analytics approach , 2021 .
[17] Marcello M. Mariani,et al. Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies , 2020, Journal of Business Research.
[18] Dimitrios Tzovaras,et al. Predictive Maintenance for Injection Molding Machines Enabled by Cognitive Analytics for Industry 4.0 , 2020, Frontiers in Artificial Intelligence.
[19] Marcello M. Mariani,et al. Service robots in online reviews: Online robotic discourse , 2020 .
[20] Shahriar Akter,et al. The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism , 2020 .
[21] Iis P. Tussyadiah. A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism , 2020, Annals of Tourism Research.
[22] Roland T. Rust,et al. Engaged to a Robot? The Role of AI in Service , 2020, Journal of Service Research.
[23] Andreas M. Kaplan,et al. A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence , 2019, California Management Review.
[24] Nicholas Berente,et al. Research Commentary - Data-Driven Computationally Intensive Theory Development , 2019, Inf. Syst. Res..
[25] Marcello M. Mariani,et al. Business intelligence and big data in hospitality and tourism: a systematic literature review , 2018, International Journal of Contemporary Hospitality Management.
[26] Jochen Wirtz,et al. Brave new world: service robots in the frontline , 2018, Journal of Service Management.
[27] Stanislav Ivanov,et al. Adoption of robots and service automation by tourism and hospitality companies , 2017 .
[28] Adèle Paul-Hus,et al. The journal coverage of Web of Science and Scopus: a comparative analysis , 2015, Scientometrics.
[29] Michael I. Jordan,et al. Machine learning: Trends, perspectives, and prospects , 2015, Science.
[30] A. Fayolle,et al. A systematic literature review on entrepreneurial intentions: citation, thematic analyses, and research agenda , 2015, International Entrepreneurship and Management Journal.
[31] Ivan Zupic,et al. Bibliometric Methods in Management and Organization , 2014 .
[32] D. Tranfield,et al. Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review , 2003 .
[33] Hengyun Li,et al. Is a picture worth a thousand words? Understanding the role of review photo sentiment and text-photo sentiment disparity using deep learning algorithms , 2022, Tourism Management.
[34] Jochen Wirtz,et al. Cost-effective service excellence , 2017, Journal of the Academy of Marketing Science.
[35] T. Davenport. Competing on analytics. , 2006, Harvard business review.
[36] Ellen M. Mitchell,et al. Aristotle's logic. , 1891 .