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      Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic

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          Abstract

          Robots and artificial intelligence (AI) technologies are becoming more prominent in the tourism industry. Nowadays, consumers are faced with multiple options involving both human and robot interactions. A series of experimental studies were implemented. Four experiments demonstrated that consumers had a more positive attitude toward robot-staffed (vs. human-staffed) hotels when COVID-19 was salient. The results were different from previous studies, which were conducted before the COVID-19 pandemic. Since the moderating role of perceived threat in consumers’ preference for robot-staffed hotels was significant, the respondents’ preference was attributed to the global health crisis. This research provides a number of theoretical and managerial implications by improving the understanding of technology acceptance during a health crisis.

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          A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies

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            Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey

            Unprecedented measures have been adopted to control the rapid spread of the ongoing COVID-19 epidemic in China. People's adherence to control measures is affected by their knowledge, attitudes, and practices (KAP) towards COVID-19. In this study, we investigated Chinese residents' KAP towards COVID-19 during the rapid rise period of the outbreak. An online sample of Chinese residents was successfully recruited via the authors' networks with residents and popular media in Hubei, China. A self-developed online KAP questionnaire was completed by the participants. The knowledge questionnaire consisted of 12 questions regarding the clinical characteristics and prevention of COVID-19. Assessments on residents' attitudes and practices towards COVID-19 included questions on confidence in winning the battle against COVID-19 and wearing masks when going out in recent days. Among the survey completers (n=6910), 65.7% were women, 63.5% held a bachelor degree or above, and 56.2% engaged in mental labor. The overall correct rate of the knowledge questionnaire was 90%. The majority of the respondents (97.1%) had confidence that China can win the battle against COVID-19. Nearly all of the participants (98.0%) wore masks when going out in recent days. In multiple logistic regression analyses, the COVID-19 knowledge score (OR: 0.75-0.90, P<0.001) was significantly associated with a lower likelihood of negative attitudes and preventive practices towards COVID-2019. Most Chinese residents of a relatively high socioeconomic status, in particular women, are knowledgeable about COVID-19, hold optimistic attitudes, and have appropriate practices towards COVID-19. Health education programs aimed at improving COVID-19 knowledge are helpful for Chinese residents to hold optimistic attitudes and maintain appropriate practices. Due to the limited sample representativeness, we must be cautious when generalizing these findings to populations of a low socioeconomic status.
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              Rational Choice and the Framing of Decisions

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                Author and article information

                Journal
                Int J Hosp Manag
                Int J Hosp Manag
                International Journal of Hospitality Management
                Elsevier Ltd.
                0278-4319
                1873-4693
                4 December 2020
                February 2021
                4 December 2020
                : 93
                : 102795
                Affiliations
                [a ]School of Hotel and Tourism Management, The Hong Kong Polytechnic University. 17 Science Museum Road, TST East, Kowloon, Hong Kong
                [b ]Department of Marketing at the Auckland University of Technology, 120 Mayoral Drive, Auckland 1010, New Zealand
                Author notes
                [* ]Corresponding author.
                [1]

                All authors contributed equally to this work.

                Article
                S0278-4319(20)30347-9 102795
                10.1016/j.ijhm.2020.102795
                9998175
                36919174
                1b4cf4b3-1538-4caa-a508-f342de4fda97
                © 2020 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 25 July 2020
                : 18 November 2020
                : 24 November 2020
                Categories
                Article

                covid-19,artificial intelligence (ai),robots,robotics,tourism,threat

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