Understanding the robotic restaurant experience: a multiple case study
Faruk Seyitoğlu, Stanislav Ivanov
Abstract
Purpose 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. Design/methodology/approach Travellers who had experienced a robotic restaurant were purposefully selected as a sample group for the study. As 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 to gather data from travellers’ reviews. Findings The results reveal a model of components of robotic restaurant experience that include six main themes: attraction for kids, robotic system, memorable experience, ambience related attributes, food related attributes (economic value and gastronomic aspects) and deficiencies (in robotic system, in ambience related attributes and in food related attributes). Originality/value This paper is one of the 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.