了解送餐服务客户的转换行为

IF 5.3 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Journal of Hospitality and Tourism Technology Pub Date : 2024-08-08 DOI:10.1108/jhtt-02-2024-0124
Jiseon Ahn
{"title":"了解送餐服务客户的转换行为","authors":"Jiseon Ahn","doi":"10.1108/jhtt-02-2024-0124","DOIUrl":null,"url":null,"abstract":"\nPurpose\nPrompted by intense competition among providers of food delivery services, this study examines the behavior of customers using mobile applications. Specifically, based on a push-pull-mooring framework, this study aims to identify the key factors affecting customers’ switching intentions in the food delivery context. A push factor is assumed to drive customers away from an existing service provider due to dissatisfaction, while a pull element lures them to an alternative provider by supplying enhanced levels of enjoyment, usefulness and/or informativeness and mooring factors (i.e. affective commitment and perceived herd) help make these switching decisions.\n\n\nDesign/methodology/approach\nPartial least squares structural equation modeling with SmartPLS was used because it is suited to predictive models and produces stringent assessments of measurement models using a variance-based approach. Data was collected through an online survey. Participants were 350 food delivery application (FDA) customers in the USA.\n\n\nFindings\nThe results highlight the importance of a push factor (dissatisfaction with the present FDA) and a mooring factor (perceived herd) as determinants of customers’ perceptions of risk that can induce a decision to switch to another FDA. However, the pull factors of usefulness, enjoyment and information quality did not significantly influence switching behavior.\n\n\nOriginality/value\nMany food delivery service providers now use mobile application technologies to provide their services. Such companies can use the factors that influence customer switching intentions identified in this study to control customers’ churn behavior by managing dissatisfied customers in the mobile context.\n","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding food delivery service customers’ switching behavior\",\"authors\":\"Jiseon Ahn\",\"doi\":\"10.1108/jhtt-02-2024-0124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nPrompted by intense competition among providers of food delivery services, this study examines the behavior of customers using mobile applications. Specifically, based on a push-pull-mooring framework, this study aims to identify the key factors affecting customers’ switching intentions in the food delivery context. A push factor is assumed to drive customers away from an existing service provider due to dissatisfaction, while a pull element lures them to an alternative provider by supplying enhanced levels of enjoyment, usefulness and/or informativeness and mooring factors (i.e. affective commitment and perceived herd) help make these switching decisions.\\n\\n\\nDesign/methodology/approach\\nPartial least squares structural equation modeling with SmartPLS was used because it is suited to predictive models and produces stringent assessments of measurement models using a variance-based approach. Data was collected through an online survey. Participants were 350 food delivery application (FDA) customers in the USA.\\n\\n\\nFindings\\nThe results highlight the importance of a push factor (dissatisfaction with the present FDA) and a mooring factor (perceived herd) as determinants of customers’ perceptions of risk that can induce a decision to switch to another FDA. However, the pull factors of usefulness, enjoyment and information quality did not significantly influence switching behavior.\\n\\n\\nOriginality/value\\nMany food delivery service providers now use mobile application technologies to provide their services. Such companies can use the factors that influence customer switching intentions identified in this study to control customers’ churn behavior by managing dissatisfied customers in the mobile context.\\n\",\"PeriodicalId\":51611,\"journal\":{\"name\":\"Journal of Hospitality and Tourism Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-08-08\",\"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-02-2024-0124\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospitality and Tourism Technology","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jhtt-02-2024-0124","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

摘要

目的在送餐服务提供商之间激烈竞争的背景下,本研究探讨了顾客使用移动应用程序的行为。具体来说,本研究基于 "推-拉-移动 "框架,旨在确定在送餐服务中影响顾客转换意向的关键因素。推力因素被假定为驱使顾客因不满意而离开现有的服务提供商,而拉力因素则通过提供更高水平的享受、实用性和/或信息性来引诱顾客转向其他提供商,而停泊因素(即情感承诺和感知群)则有助于做出这些转换决定。设计/方法/方法使用 SmartPLS 进行部分最小二乘结构方程建模,因为它适用于预测模型,并使用基于方差的方法对测量模型进行严格评估。数据通过在线调查收集。调查结果表明,推动因素(对现有 FDA 的不满)和停泊因素(感知到的群居性)是客户风险感知的重要决定因素,它们会促使客户做出转用其他 FDA 的决定。然而,有用性、享受性和信息质量等拉动因素并没有对转换行为产生重大影响。 原创性/价值现在,许多食品配送服务提供商都使用移动应用技术来提供服务。这些公司可以利用本研究中发现的影响客户转换意向的因素,通过在移动环境中管理不满意的客户来控制客户的流失行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Understanding food delivery service customers’ switching behavior
Purpose Prompted by intense competition among providers of food delivery services, this study examines the behavior of customers using mobile applications. Specifically, based on a push-pull-mooring framework, this study aims to identify the key factors affecting customers’ switching intentions in the food delivery context. A push factor is assumed to drive customers away from an existing service provider due to dissatisfaction, while a pull element lures them to an alternative provider by supplying enhanced levels of enjoyment, usefulness and/or informativeness and mooring factors (i.e. affective commitment and perceived herd) help make these switching decisions. Design/methodology/approach Partial least squares structural equation modeling with SmartPLS was used because it is suited to predictive models and produces stringent assessments of measurement models using a variance-based approach. Data was collected through an online survey. Participants were 350 food delivery application (FDA) customers in the USA. Findings The results highlight the importance of a push factor (dissatisfaction with the present FDA) and a mooring factor (perceived herd) as determinants of customers’ perceptions of risk that can induce a decision to switch to another FDA. However, the pull factors of usefulness, enjoyment and information quality did not significantly influence switching behavior. Originality/value Many food delivery service providers now use mobile application technologies to provide their services. Such companies can use the factors that influence customer switching intentions identified in this study to control customers’ churn behavior by managing dissatisfied customers in the mobile context.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Hospitality and Tourism Technology
Journal of Hospitality and Tourism Technology HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
8.40
自引率
12.80%
发文量
41
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
期刊最新文献
Improving gastro-tourism experience through 3d virtual attractions: evidence from tourists’ self-reported and neurophysiological responses Influence of robot coolness and affinity on behavioral intention: examining perceived value as a mediating factor Improving gastro-tourism experience through 3d virtual attractions: evidence from tourists’ self-reported and neurophysiological responses Influence of robot coolness and affinity on behavioral intention: examining perceived value as a mediating factor Understanding food delivery service customers’ switching behavior
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1