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      A conceptual framework of the service delivery system design for hospitality firms in the (post-)viral world: The role of service robots

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          Highlights

          • Provides a conceptual framework of the service delivery system design for hospitality firms in the (post-)viral world.

          • Identifies three service delivery system designs (robotic, human-based, and mixed).

          • Analyses the requirements, (dis)advantages, and potential target markets of suggested systems.

          • In a physically distant service the physical contact between the service provider and the customer is eliminated.

          Abstract

          This study aims to develop a conceptual framework of the service delivery system design for hospitality firms in the (post-)viral world. Several theoretical approaches such as resource-based view, value chain analysis, stakeholder theory, PESTEL analysis, positioning strategy, and service delivery system design were adopted. The paper identified three service delivery system designs (robotic, human-based, and mixed) and analyses their requirements, advantages, disadvantages, and potential target markets. According to the suggested model, hospitality firms need first to explore the expectations of tourists. Then comes the analysis phase (based on a holistic perspective, and consisting of RBV, Value chain, Stakeholder, and PESTEL analyses), which helps hospitality firms to identify how they should differentiate and position themselves in the market. Following, companies decide on what kind of service delivery system they should offer to their target customers, and position themselves in the market according to the chosen system.

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          Most cited references93

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          Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

          Abstract Background The initial cases of novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic characteristics of NCIP. Methods We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by January 22, 2020. We described characteristics of the cases and estimated the key epidemiologic time-delay distributions. In the early period of exponential growth, we estimated the epidemic doubling time and the basic reproductive number. Results Among the first 425 patients with confirmed NCIP, the median age was 59 years and 56% were male. The majority of cases (55%) with onset before January 1, 2020, were linked to the Huanan Seafood Wholesale Market, as compared with 8.6% of the subsequent cases. The mean incubation period was 5.2 days (95% confidence interval [CI], 4.1 to 7.0), with the 95th percentile of the distribution at 12.5 days. In its early stages, the epidemic doubled in size every 7.4 days. With a mean serial interval of 7.5 days (95% CI, 5.3 to 19), the basic reproductive number was estimated to be 2.2 (95% CI, 1.4 to 3.9). Conclusions On the basis of this information, there is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019. Considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere. Measures to prevent or reduce transmission should be implemented in populations at risk. (Funded by the Ministry of Science and Technology of China and others.)
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            The Socio-Economic Implications of the Coronavirus and COVID-19 Pandemic: A Review

            The COVID-19 pandemic has resulted in over 1.4 million confirmed cases and over 83,000 deaths globally. It has also sparked fears of an impending economic crisis and recession. Social distancing, self-isolation and travel restrictions forced a decrease in the workforce across all economic sectors and caused many jobs to be lost. Schools have closed down, and the need of commodities and manufactured products has decreased. In contrast, the need for medical supplies has significantly increased. The food sector has also seen a great demand due to panic-buying and stockpiling of food products. In response to this global outbreak, we summarise the socio-economic effects of COVID-19 on individual aspects of the world economy.
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              Is Open Access

              The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak

              Motivated by the rapid spread of COVID-19 in Mainland China, we use a global metapopulation disease transmission model to project the impact of travel limitations on the national and international spread of the epidemic. The model is calibrated based on internationally reported cases, and shows that at the start of the travel ban from Wuhan on 23 January 2020, most Chinese cities had already received many infected travelers. The travel quarantine of Wuhan delayed the overall epidemic progression by only 3 to 5 days in Mainland China, but has a more marked effect at the international scale, where case importations were reduced by nearly 80% until mid February. Modeling results also indicate that sustained 90% travel restrictions to and from Mainland China only modestly affect the epidemic trajectory unless combined with a 50% or higher reduction of transmission in the community.
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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
                15 September 2020
                October 2020
                15 September 2020
                : 91
                : 102661
                Affiliations
                [a ]Mardin Artuklu University, Faculty of Tourism, 47080, Artuklu, Mardin, Turkey
                [b ]Varna University of Management, 13A Oborishte Str., 9000, Varna, Bulgaria
                Author notes
                [* ]Corresponding author.
                Article
                S0278-4319(20)30213-9 102661
                10.1016/j.ijhm.2020.102661
                7492062
                32952262
                80b3feb5-1bb3-4c6f-aedb-d7d810e95c53
                © 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
                : 2 July 2020
                : 17 August 2020
                : 21 August 2020
                Categories
                Research Paper

                service delivery system,service robot,hospitality firms,physically distant service,positioning strategy,covid-19

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