Adopting Server Robot in the Restaurant

The Case of Using Robot Servers in Restaurants
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Acknowledgment
Abstract
This research is aimed to serve as a guide for restaurant owners aiming to adopt robot servers. The purpose of the study is two-fold: firstly, to evaluate the effectiveness of robot servers in the restaurant industry based on existing evidence and to create a set of recommendations for restaurant owners based on the insights gleaned from the empirical evidence. The research is based on two case studies, including that of a Chinese restaurant, Heweilai, and a Japanese restaurant, Henn-Na. Both these restaurants adopted robots in the past decade and were forced to revert to the traditional, human-led service model after robots were found counterproductive (The Verge, 2016; Reis et al., 2020). Since both restaurants heavily invested in robotic technology, their failure bears valuable lessons for other industry players.
The case studies are synthesized with the existing literature on the subject matter to deepen the insights and identify potential themes. These themes provide direction for the recommendations while Technology Acceptance Model (TAM) underpins the data collection and analysis. Based on the findings, the restaurant owners are advised to keep the customers engaged during the implementation process. The restaurant owners can leverage the data storage capabilities of the robotic system to create a feedback loop that would enable them to keep the functionality of robots aligned with the customer needs. Besides, it is essential for the owners to gradually upgrade the system based on customers' feedback and keep the customers assured of such upgrades throughout the process. As for the appearance and choice between humanoid and zoomorphic or machine-shaped robots, it is important to refer to the cultural orientation and the most recent trends. The owners are advised to conduct surveys to gain insights about recent preferences among customers to bring precision to the visual appeal of robots.
Contents TOC \o "1-3" \h \z \u Acknowledgement PAGEREF _Toc121897190 \h 2Abstract PAGEREF _Toc121897191 \h 3Chapter One: Introduction PAGEREF _Toc121897192 \h 5Purpose PAGEREF _Toc121897193 \h 5Theoretical and ConceptualFramework PAGEREF _Toc121897194 \h 6Statement ofProblem PAGEREF _Toc121897195 \h 6Limitations PAGEREF _Toc121897196 \h 7Delimitations PAGEREF _Toc121897197 \h 7Assumptions PAGEREF _Toc121897198 \h 8Definitions of KeyTerms PAGEREF _Toc121897199 \h 9Chapter Two: Literature Review PAGEREF _Toc121897200 \h 10Introduction PAGEREF _Toc121897201 \h 10Growing Popularity and Ubiquity of Artificial Intelligence in Hospitality PAGEREF _Toc121897202 \h 10Potential Benefits of Robot Servers for Restaurants PAGEREF _Toc121897203 \h 12Relieving the Burden of the Human Resource Department PAGEREF _Toc121897204 \h 12Enhanced Efficiency PAGEREF _Toc121897205 \h 13From Marketing Perspective PAGEREF _Toc121897206 \h 14A Futuristic Approach PAGEREF _Toc121897207 \h 15Potential Challenges towards the Adoption of Robot Servers PAGEREF _Toc121897208 \h 15Empirical Evidence PAGEREF _Toc121897209 \h 18Summary and Gap in the Literature PAGEREF _Toc121897210...