{"title":"Understanding customer multi-interactions, trust, social support and voluntary performance in smart restaurants","authors":"Haoyue Jiao, I. Wong, Z. Lin","doi":"10.1108/jhtt-11-2023-0384","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe study aims to propose a triadic interaction model to assess the effect of customer–customer (C2C), employee–customer and robot–customer interactions on customer voluntary performance in the context of smart dining.\n\n\nDesign/methodology/approach\nAn explanatory sequential mixed methods design was used. First, a quantitative study surveyed Foodom patrons to assess the impact of triadic interactions on customer voluntary performance. The mediating role of trust and social support and the moderating effect of the need to belong were also explored. A post hoc study (Study 2) analyzed online comments to validate and complement the survey findings.\n\n\nFindings\nWhile all interactions promote social support, the C2C interactions significantly correlate with customer trust. Moreover, customer voluntary performance is influenced by both customer trust and social support, while the need to belong remains as a moderator. Findings from Study 2 consolidate and enrich the relationships identified in Study 1.\n\n\nResearch limitations/implications\nThis research reveals that patrons in smart dining still value interactions with employees and other diners. It enriches the stream of work on interaction quality by illuminating how different types of interactions could co-create value for customers, subsequently fostering voluntary behavior in smart dining contexts.\n\n\nOriginality/value\nThis research explores how patrons perceive interactions with robots in smart hospitality, highlighting their impact on trust and social support. It also sheds light on how interactions among robots, employees and customers influence customer voluntary performance, emphasizing the role of the need to belong in moderating relationships in this setting.\n","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospitality and Tourism Technology","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jhtt-11-2023-0384","RegionNum":3,"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
Purpose
The study aims to propose a triadic interaction model to assess the effect of customer–customer (C2C), employee–customer and robot–customer interactions on customer voluntary performance in the context of smart dining.
Design/methodology/approach
An explanatory sequential mixed methods design was used. First, a quantitative study surveyed Foodom patrons to assess the impact of triadic interactions on customer voluntary performance. The mediating role of trust and social support and the moderating effect of the need to belong were also explored. A post hoc study (Study 2) analyzed online comments to validate and complement the survey findings.
Findings
While all interactions promote social support, the C2C interactions significantly correlate with customer trust. Moreover, customer voluntary performance is influenced by both customer trust and social support, while the need to belong remains as a moderator. Findings from Study 2 consolidate and enrich the relationships identified in Study 1.
Research limitations/implications
This research reveals that patrons in smart dining still value interactions with employees and other diners. It enriches the stream of work on interaction quality by illuminating how different types of interactions could co-create value for customers, subsequently fostering voluntary behavior in smart dining contexts.
Originality/value
This research explores how patrons perceive interactions with robots in smart hospitality, highlighting their impact on trust and social support. It also sheds light on how interactions among robots, employees and customers influence customer voluntary performance, emphasizing the role of the need to belong in moderating relationships in this setting.
期刊介绍:
The Journal of Hospitality and Tourism Technology is the only journal dedicated solely for research in technology and e-business in tourism and hospitality. It is a bridge between academia and industry through the intellectual exchange of ideas, trends and paradigmatic changes in the fields of hospitality, IT and e-business. It covers: -E-Marketplaces, electronic distribution channels, or e-Intermediaries -Internet or e-commerce business models -Self service technologies -E-Procurement -Social dynamics of e-communication -Relationship Development and Retention -E-governance -Security of transactions -Mobile/Wireless technologies in commerce -IT control and preparation for disaster -Virtual reality applications -Word of Mouth. -Cross-Cultural differences in IT use -GPS and Location-based services -Biometric applications -Business intelligence visualization -Radio Frequency Identification applications -Service-Oriented Architecture of business systems -Technology in New Product Development