Probit模型
透视图(图形)
在线和离线
普罗比特
独创性
有序概率单位
经验证据
在线参与
社会影响力
社交网络(社会语言学)
实证研究
业务
价值(数学)
社会化媒体
心理学
营销
互联网
社会心理学
经济
计量经济学
计算机科学
万维网
哲学
认识论
人工智能
机器学习
创造力
操作系统
作者
Chen Qin,Jiahua Jin,Tingting Zhang,Xiangbin Yan
出处
期刊:Aslib journal of information management
[Emerald (MCB UP)]
日期:2023-07-13
被引量:1
标识
DOI:10.1108/ajim-01-2023-0003
摘要
Purpose The success of online health communities (OHCs) depends on maintaining long-term relationships with physicians and preventing churn. Even so, the reasons for physician churn are poorly understood. In this study, an empirical model was proposed from a social influence perspective to explore the effects of online social influence and offline social influence on physician churn, as well as the moderating effect of their online returns. Design/methodology/approach The empirical data of 4,145 physicians from a Chinese OHC, and probit regression models were employed to verify the proposed theoretical model. Findings The results suggest that physicians' churn intention is influenced by online and offline social influences, and the offline social influence is more powerful. Physicians' reputational and economic returns could weaken the effect of online social influence on churn intention. However, physicians' economic returns could strengthen the effect of offline social influence on churn intention. Originality/value This research study is the first attempt to explore physician churn and divides the social influence into online and offline social influences according to the source of social relationship. The findings contribute to the literature on e-Health, user churn and social influence and provide management implications for OHC managers.
科研通智能强力驱动
Strongly Powered by AbleSci AI