Does the physicians’ medical team joining behavior affect their performance on an online healthcare platform? Evidence from two quasi-experiments

资历 情感(语言学) 心理学 医疗保健 匹配(统计) 服务(商务) 医学 业务 营销 政治学 沟通 经济增长 病理 经济 法学
作者
Huiyuan Liu,Sandun C. Perera,Jianjun Wang
出处
期刊:Transportation Research Part E-logistics and Transportation Review [Elsevier BV]
卷期号:171: 103040-103040 被引量:18
标识
DOI:10.1016/j.tre.2023.103040
摘要

With the growing interest in and use of online healthcare platforms (OHPs), online medical team (OMT) services have gradually been recognized by physicians as an important multi-channel initiative. However, only a handful of studies have explored the pros and cons of the OMT channel over the traditional individual online service channels in an OHP or examined the critical roles of physicians’ OMT joining behavior. To fill this gap, utilizing two sets of unbalanced panel data, representing high- and low-risk diseases, from 3,500 physicians in a leading OHP in China, we investigate the impacts of physicians’ OMT joining behavior on their online performance based on the trust-transfer theory. The moderating effect of physician’s team involvement is investigated based on data from a famous OHP application. Employing a combination of propensity score matching and difference-in-differences identification, the results indicate that physicians’ OMT joining behavior positively influences their online performance. Furthermore, for the physicians who deal with low-risk diseases, their OMT involvement weakens the positive relationship between their OMT joining behavior and online performance although it has the opposite impact in the case of high-risk diseases. Our subsample analyses provide further insights into how physicians’ OMT joining behavior influences their online performance based on their seniority levels. Specifically, for physicians with higher seniority levels, the team joining behavior positively influences their online performance whereas there is no significant effect for the physicians with lower seniority levels.
最长约 10秒,即可获得该文献文件

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
韩博话聊完成签到 ,获得积分10
刚刚
小马驹完成签到,获得积分10
刚刚
1秒前
CipherSage应助tc采纳,获得30
1秒前
point完成签到 ,获得积分10
1秒前
小马驹发布了新的文献求助10
3秒前
4秒前
4秒前
Jenny完成签到,获得积分10
5秒前
orixero应助如约而至采纳,获得10
5秒前
清爽书包发布了新的文献求助10
5秒前
woyaojiayou完成签到,获得积分10
6秒前
小苦瓜发布了新的文献求助10
6秒前
td发布了新的文献求助10
6秒前
英俊的铭应助Zymiao采纳,获得10
6秒前
阳光的翅膀完成签到,获得积分20
6秒前
7秒前
Daily完成签到,获得积分10
8秒前
8秒前
七院应助shuofeng采纳,获得30
8秒前
9秒前
ASLYJS发布了新的文献求助10
9秒前
9秒前
Ava应助mm采纳,获得10
9秒前
Owen应助2025alex采纳,获得10
9秒前
无情翅膀完成签到,获得积分10
10秒前
Starwalker应助飞快的小白菜采纳,获得30
11秒前
11秒前
11秒前
11秒前
Banson发布了新的文献求助10
11秒前
12秒前
12秒前
皮皮发布了新的文献求助10
12秒前
12秒前
JamesPei应助sky采纳,获得10
12秒前
13秒前
飞阳完成签到,获得积分10
13秒前
13秒前
13秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6491025
求助须知:如何正确求助?哪些是违规求助? 8289130
关于积分的说明 17686934
捐赠科研通 5582008
什么是DOI,文献DOI怎么找? 2914885
邀请新用户注册赠送积分活动 1892033
关于科研通互助平台的介绍 1749729