Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop

Restaurants have been using robots to meet the increasing consumer demand for food customization and safety and contactless service operations. This study identified the antecedent factors influencing a customer’s attitude and acceptance intention toward a robot barista. To this end, we conducted a...

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Bibliographic Details
Main Authors: Hye Jin Sung, Hyeon Mo Jeon
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/20/8598
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spelling doaj-c385bc13b0be424e972f2a0844ead84c2020-11-25T03:55:40ZengMDPI AGSustainability2071-10502020-10-01128598859810.3390/su12208598Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee ShopHye Jin Sung0Hyeon Mo Jeon1Department of Foodservice Management, Pai Chai University, Daejeon 35345, KoreaDepartment of Hotel, Tourism, and Foodservice Management, Dongguk University-Gyeonju, Gyeongju 38066, KoreaRestaurants have been using robots to meet the increasing consumer demand for food customization and safety and contactless service operations. This study identified the antecedent factors influencing a customer’s attitude and acceptance intention toward a robot barista. To this end, we conducted a questionnaire survey from 10 to 24 January 2020, on a sample of 317 Korean consumers who purchased coffee prepared by a robot barista. We based the analysis on the following determinant factors of the extension of the technology acceptance model (ETAM): perceived enjoyment, perceived usefulness, need for interaction, perceived risk, and perceived innovativeness. The results showed that perceived usefulness had the highest impact on acceptance intention, followed by perceived enjoyment and the need for interaction. Perceived usefulness and innovativeness positively influenced acceptance intention. These results confirmed the significance of the determinant factors in inducing customers’ attitude and acceptance intention toward a robot barista. This study extends the research on the application of artificial intelligence and the fourth industrial revolution technologies in the food service industry, and hence contributes toward the preparations for the post-Covid-19 period. It also offers practical implications for sustainable coffee shop management.https://www.mdpi.com/2071-1050/12/20/8598robot baristaperceived usefulnessperceived enjoymentneed for interactionperceived riskperceived innovativeness
collection DOAJ
language English
format Article
sources DOAJ
author Hye Jin Sung
Hyeon Mo Jeon
spellingShingle Hye Jin Sung
Hyeon Mo Jeon
Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop
Sustainability
robot barista
perceived usefulness
perceived enjoyment
need for interaction
perceived risk
perceived innovativeness
author_facet Hye Jin Sung
Hyeon Mo Jeon
author_sort Hye Jin Sung
title Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop
title_short Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop
title_full Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop
title_fullStr Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop
title_full_unstemmed Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop
title_sort untact: customer’s acceptance intention toward robot barista in coffee shop
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-10-01
description Restaurants have been using robots to meet the increasing consumer demand for food customization and safety and contactless service operations. This study identified the antecedent factors influencing a customer’s attitude and acceptance intention toward a robot barista. To this end, we conducted a questionnaire survey from 10 to 24 January 2020, on a sample of 317 Korean consumers who purchased coffee prepared by a robot barista. We based the analysis on the following determinant factors of the extension of the technology acceptance model (ETAM): perceived enjoyment, perceived usefulness, need for interaction, perceived risk, and perceived innovativeness. The results showed that perceived usefulness had the highest impact on acceptance intention, followed by perceived enjoyment and the need for interaction. Perceived usefulness and innovativeness positively influenced acceptance intention. These results confirmed the significance of the determinant factors in inducing customers’ attitude and acceptance intention toward a robot barista. This study extends the research on the application of artificial intelligence and the fourth industrial revolution technologies in the food service industry, and hence contributes toward the preparations for the post-Covid-19 period. It also offers practical implications for sustainable coffee shop management.
topic robot barista
perceived usefulness
perceived enjoyment
need for interaction
perceived risk
perceived innovativeness
url https://www.mdpi.com/2071-1050/12/20/8598
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