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      Ultimate transformation: How will automation technologies disrupt the travel, tourism and hospitality industries?

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      Zeitschrift für Tourismuswissenschaft
      Walter de Gruyter GmbH

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          Abstract

          Companies from the travel, tourism and hospitality industry have started adopting robots, artificial intelligence and service automation technologies (RAISA) in their operations. Self-check-in kiosks, robotic pool cleaners, delivery robots, robot concierges, chatbots, etc., are used increasingly by tourism companies and transform the ways they create and deliver services. This paper investigates the impact of RAISA technologies on travel, tourism and hospitality companies – their operations, facilities design, marketing, supply chain management, human resource management, and financial management. The paper emphasises that in the future companies will divide into two large segments – high-tech tourism companies offering standardized cheap robot-delivered services, and high-touch companies, which rely on human employees.

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          The future of employment: How susceptible are jobs to computerisation?

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            Brave new world: service robots in the frontline

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              Domo Arigato Mr. Roboto: Emergence of Automated Social Presence in Organizational Frontlines and Customers’ Service Experiences

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                Author and article information

                Journal
                Zeitschrift für Tourismuswissenschaft
                Walter de Gruyter GmbH
                2366-0406
                1867-9501
                April 25 2019
                April 30 2019
                April 01 2019
                April 25 2019
                April 30 2019
                April 01 2019
                : 11
                : 1
                : 25-43
                Affiliations
                [1 ]Professor in Tourism and Vice Rector (Research), Varna University of Management , 13A Oborishte Str., 9000 Varna , Bulgaria
                Article
                10.1515/tw-2019-0003
                6f0a8c51-45ee-4151-bfb1-bcbaa564bc9e
                © 2019
                History

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