Are customers willing to comply?Investigating the effectiveness of hospital queuing-recommendation system

匹配(统计) 透视图(图形) 服务(商务) 业务 机制(生物学) 客户宣传 客户情报 顺从(心理学) 客户保留 客户服务 消费者行为 感知 营销 服务质量 维数(图论) 计算机科学 过程管理 客户对客户 客户关系管理 顾客满意度 服务体系 钥匙(锁) 知识管理 订单(交换) 结果(博弈论) 样品(材料) 运营管理
作者
Lifan Yang,Yameng Wang,Luning Liu
出处
期刊:Industrial Management and Data Systems [Emerald Publishing Limited]
卷期号:: 1-23
标识
DOI:10.1108/imds-02-2025-0208
摘要

Purpose As medical demands and waiting times increase, the significance of hospital queuing-recommendation system (HQS) in reducing hospital congestion is becoming increasingly obvious. This study aims to explore the effectiveness of HQS as well as systematically analyze the influence mechanism of customer compliance from the perspective of time perception dimensions (expected time cost, service progress, perceived time cost). Design/methodology/approach The data are collected regarding the interactions between customers and HQS in a hospital. This study uses the propensity score matching method to verify whether HQS could reduce customer waiting time. The panel binary choice model is employed to explore the mechanism of customer compliance. Findings The results of this study demonstrate the effectiveness of HQS in reducing customer waiting times. Further analysis reveals that the expected time cost positively influences customer compliance and the service progress negatively influences customer compliance. The perceived time cost reinforces the positive effect of the expected time cost and exacerbates the negative effect of the service progress. Practical implications This study contributes to promoting intelligent medical treatment processes and helps hospitals better understand the psychological mechanism of customer decision-making and provides feasible strategies for improving customer compliance. Originality/value This study focuses on the unique application scenarios of recommendation systems in healthcare. According to the theory of trust judgment, the study reveals the influence mechanism of customer compliance from the perspective of time perception. As a result, the application boundaries of recommendation systems and trust judgment theory are expanded.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
亭子完成签到 ,获得积分10
刚刚
林烯完成签到,获得积分10
刚刚
乐观紫霜完成签到,获得积分10
1秒前
YY完成签到,获得积分10
1秒前
liuyao完成签到,获得积分10
1秒前
123123完成签到,获得积分10
1秒前
潇洒的惋清应助釜底游鱼采纳,获得10
2秒前
2秒前
YYYY发布了新的文献求助10
3秒前
wxZeng完成签到,获得积分10
3秒前
lixinglei应助舒心访文采纳,获得20
3秒前
阿里山完成签到,获得积分10
3秒前
元气糖完成签到,获得积分10
4秒前
科研小白完成签到,获得积分10
4秒前
张啦啦完成签到 ,获得积分10
4秒前
831143完成签到 ,获得积分0
5秒前
5秒前
home完成签到,获得积分10
6秒前
情怀应助BOB采纳,获得10
6秒前
6秒前
7秒前
陈陈完成签到 ,获得积分10
8秒前
簪星曳月发布了新的文献求助10
8秒前
66完成签到,获得积分10
8秒前
niuniu完成签到 ,获得积分10
9秒前
Plasma992575完成签到,获得积分10
9秒前
容嬷嬷完成签到 ,获得积分10
11秒前
shouyu29发布了新的文献求助10
11秒前
yuguo完成签到,获得积分10
11秒前
小二郎应助momo1235采纳,获得10
11秒前
熊宝发布了新的文献求助10
11秒前
修仙中应助挖掘机采纳,获得10
11秒前
微笑向卉发布了新的文献求助10
12秒前
朴实大神完成签到 ,获得积分10
12秒前
13秒前
蓝景轩辕完成签到 ,获得积分10
13秒前
123完成签到,获得积分10
13秒前
13秒前
翟庆春完成签到,获得积分10
14秒前
14秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Understanding Octavia Butler 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7565842
求助须知:如何正确求助?哪些是违规求助? 9145968
关于积分的说明 19555225
捐赠科研通 7152188
什么是DOI,文献DOI怎么找? 3262558
关于科研通互助平台的介绍 2428825
邀请新用户注册赠送积分活动 2252375