Jiyoon (Jennifer) Han , Soobin Seo , Hyun Jeong Kim
{"title":"Autonomous delivery robots on the rise: How can I cut carbon footprint for restaurant food deliveries?","authors":"Jiyoon (Jennifer) Han , Soobin Seo , Hyun Jeong Kim","doi":"10.1016/j.ijhm.2024.103804","DOIUrl":null,"url":null,"abstract":"<div><p>This study examines customers’ intentions to select an autonomous delivery robot (ADR) for off-premise restaurant delivery services, in response to the growing concerns about carbon emissions. Drawing upon Valence-Instrumentality-Expectancy theory, this study demonstrates how knowledge of transport emissions, awareness of carbon emissions, the perceived environmental performance of ADRs, and ADR usage intentions are interrelated. This study also explores differences between two groups: ADRs as high risk versus low risk. Using PLS-SEM and PLS-multigroup analysis with data from 418 participants, the study results show that more knowledge of transport emissions and higher awareness of carbon emissions are associated with more positive perceptions of ADRs' environmental performance and greater intentions to use ADRs. This study highlights the importance of ADRs’ reliability, which should be prioritized alongside environmental concerns. This study has theoretical contributions and practical implications, including policymaking, for stakeholders in the food delivery business.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":9.9000,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278431924001166","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines customers’ intentions to select an autonomous delivery robot (ADR) for off-premise restaurant delivery services, in response to the growing concerns about carbon emissions. Drawing upon Valence-Instrumentality-Expectancy theory, this study demonstrates how knowledge of transport emissions, awareness of carbon emissions, the perceived environmental performance of ADRs, and ADR usage intentions are interrelated. This study also explores differences between two groups: ADRs as high risk versus low risk. Using PLS-SEM and PLS-multigroup analysis with data from 418 participants, the study results show that more knowledge of transport emissions and higher awareness of carbon emissions are associated with more positive perceptions of ADRs' environmental performance and greater intentions to use ADRs. This study highlights the importance of ADRs’ reliability, which should be prioritized alongside environmental concerns. This study has theoretical contributions and practical implications, including policymaking, for stakeholders in the food delivery business.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.