服务质量
在线和离线
患者满意度
心理学
情感(语言学)
计算机辅助网络访谈
经济正义
面对面
质量(理念)
服务(商务)
医疗保健
医学
服务质量
医学教育
应用心理学
护理部
计算机科学
营销
业务
哲学
新古典经济学
经济
操作系统
认识论
经济增长
沟通
作者
Xiaoqing Wen,Ping-Yu Hsu,Yu Wei Chang,Wen‐Lung Shiau
出处
期刊:Industrial Management and Data Systems
[Emerald (MCB UP)]
日期:2019-12-02
卷期号:120 (1): 196-214
被引量:36
标识
DOI:10.1108/imds-05-2019-0261
摘要
Purpose The purpose of this paper is to investigate factors that influence the patients’ intentions to visit doctors face-to-face for consultations from the perspective of online doctor–patient interaction. Justice theory, SERVQUAL and the halo effect are integrated to develop a research model based on the performance-evaluation-outcome framework. The authors hypothesize that perceived justice and service quality are the significant factors in reflecting the performance of online doctor–patient interaction, which influences patient satisfaction evaluation and online and offline behavioral intentions. Design/methodology/approach The study conducted an online survey to collect data. Patients on a healthcare consulting website were invited to participate in the survey. The research model and hypotheses were tested with 254 collected data from patients and analyzed using the partial least squares method. Findings The results show that perceived justice and service quality have a positive effect on patient satisfaction, and satisfaction and the intention of online consultation have a positive effect on the intention of face-to-face consultation. Practical implications This study offers suggestions on how doctors interact with patients and build their brand image. The findings also offer effective insights into improving doctors’ online services to retain patients and even encourage patients to go to clinics. Originality/value Online health consultation is one of the most popular online health services and is growing quickly. After patients consult online doctors, they are able to visit their doctors in person for further diagnosis and treatment if they have the need. This study investigates how patients’ online interactive experience influences their offline behavioral intentions, which are different from most of the past literature on eHealth.
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