Robots, Artificial Intelligence, and Service Automation in Restaurants

Berezina, Katerina; Ciftci, Olena; Çobanoğlu, Cihan

doi:10.1108/978-1-78756-687-320191010

Cited by 128 publications

(115 citation statements)

References 22 publications

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“…Technological and medical solutions have started to emerge as a pathway to enabling tourism to re-start, even in a tentative manner (Ivanov et al, 2020). Already accelerating moves to automate service delivery in sectors that range from airlines to hotels and restaurants (Berezina et al, 2019) are likely to become even more widespread in response to biosecurity and medical concerns in tourism. Medical 'solutions' to the pandemic, such as vaccines are seen as probably the most likely way in which international tourism can begin to function on any large scale once again (Hall et al, 2020).…”

Section: International Debatesmentioning

confidence: 99%

COVID-19 and African tourism research agendas

Rogerson

Baum

2020

Development Southern Africa

109

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COVID-19 has triggered a burst of international scholarship concerning the reshaping of tourism and the resetting of tourism research agendas. The aim of this paper is to tease out some implications for reorienting the African tourism research agenda from 2020 and beyond. Arguably, an appropriate African research response to COVID-19 in the context of tourism must embrace a genuine transdisciplinary approach and draw in researchers who would not, historically, have operated in the tourism space. Seven key themes are discussed namely, market confidence; dependence on international long-haul tourists; supporting regional and domestic tourism especially VFR travel; redefining communitybased tourism; informal sector resilience; climate change; and, addressing present-mindedness in African tourism scholarship.

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Section: International Debatesmentioning

confidence: 99%

COVID-19 and African tourism research agendas

Rogerson

Baum

2020

Development Southern Africa

109

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“…Depending on their technological features, restaurant robots can serve, cook, take dirty dishes, host guests, dance, communicate with customers, etc. (Berezina, Ciftci & Cobanoglu, 2019). Robot chefs prepare noodles, burgers, coffee, sushi, grill and mix drinks .…”

Section: Robots In Restaurant Dining Experiencementioning

confidence: 99%

“…On the other hand, there is an extensive literature related to restaurant experience (Andersson & Mossberg, 2004;Jeong & Jang, 2011;Jin, Lee & Huffman, 2012;Kim & Jang, 2019;Pantelidis, 2010;Ryu & Han, 2011;Velázquez, Blasco, Saura & Contrí, 2010). However, despite the growing research on service robots in a restaurant context (Berezina, Ciftci & Cobanoglu, 2019;Eksiri & Kimura, 2015;Lee, Lin & Shih, 2018;Mathath & Fernando, 2017;Tuomi, Tussyadiah & Stienmetz, 2019), there is a lack research on the robotic restaurant experience in the current literature. This study aims to partially fill in this research gap.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Robotic Restaurant Experience: A Multiple Case Study

Seyitoğlu¹,

Иванов²

2020

Preprint

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The purpose of this study is to investigate the robotic restaurant experience of travellers around the world and understand the components of robotic restaurant experience. Following this aim, travellers who had experienced a robotic restaurant were purposefully selected as a sample group for the study. Since the robotic restaurants are limited around the world, multiple case study method has been chosen to gather richer data. A user-generated content technique which is a form of qualitative case study method has been benefited. The data of this study were gathered between 18-29 November 2019 from travellers’ reviews (n=587) describing experiences they had between February 2013-November 2019. The results reveal a model of components of robotic restaurant experience that include seven main themes: attraction for kids, robotic system, service quality, memorable experience, ambience related attributes, food related attributes (economic value and gastronomic aspects), and deficiencies (in robotic system, in service quality, in ambience related attributes and in food related attributes). This paper is first to investigate the robotic restaurant experience of travellers around the world. Moreover, it contributes to the research on restaurant experience and offers a model of components of the robotic restaurant experience.

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“…Robots, for example, are used for the provision of information and room service delivery in hotels (Lukanova & Ilieva, 2019;Tussyadiah & Miller, 2019), as curators and guides in museums (Virto & López, 2019), as self-driving taxis in destinations (Tussyadiah, Zach, & Wang, 2017) or as hosts and waiters in restaurants (Berezina, Ciftci, & Cobanoglu, 2019) or during events (Ogle & Lamb, 2019). Automated pricing systems with artificial intelligence amend the prices of hotel accommodation and flight tickets based on changes in occupancy, demand, and competitors' actions (Pekgün et al, 2013).…”

Section: Automation Technologies In Tourismmentioning

confidence: 99%

Biosecurity, crisis management, automation technologies, and economic performance of travel, tourism and hospitality companies – a conceptual framework

Иванов¹,

Webster²,

Stoilova³

et al. 2020

Preprint

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The COVID-19 pandemic of 2020 will have a massive impact upon travel, tourism, and hospitality globally. With a massive reduction in tourism globally because of the health crisis, the industry will likely have to plan a recovery and rebuilding of the industry. Part and parcel of the reorganization will involve increasingly depending upon automation technologies. In this article, we discuss how the virus has impacted upon the global industry and discuss how automation technologies will be implemented into the industry to ensure a vibrant return to a strong tourism economy. We expect that employers and industry will look differently upon many automation technologies and implement these technologies into their operations to ensure a return to a situation in which tourism can take place in ways that ensure the biosecurity of travellers and ensure that the industry’s operations return to be able to work in profitable ways.

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Robots, Artificial Intelligence, and Service Automation in Restaurants

Cited by 128 publications

References 22 publications

COVID-19 and African tourism research agendas

COVID-19 and African tourism research agendas

Understanding the Robotic Restaurant Experience: A Multiple Case Study

Biosecurity, crisis management, automation technologies, and economic performance of travel, tourism and hospitality companies – a conceptual framework

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