详细信息
Spillover Effects of Paid Functions on Physicians' Unpaid Knowledge Activities: Quasi-Experimental Approach ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:Spillover Effects of Paid Functions on Physicians' Unpaid Knowledge Activities: Quasi-Experimental Approach
作者:Liu, Xuan[1];Chi, Xiaotong[1];Chen, Ming[1];Sun, Wen[1];Li, Jia[1]
机构:[1]East China Univ Sci & Technol, Meilong Rd 130, Shanghai 200237, Peoples R China
年份:2024
卷号:26
外文期刊名:JOURNAL OF MEDICAL INTERNET RESEARCH
收录:;WOS:【SCI-EXPANDED(收录号:WOS:001382704600008)】;
基金:Acknowledgments This research was supported by the National Natural Science Foundation of China (grants 71971082, 71471064, 72271093, and 91646205) and was also funded by the Science and Technology Innovation Action Plan of the Science and Technology Commission of Shanghai Municipality (grants 22692110200 and 19692106700) and the Humanities and Social Sciences Youth Foundation of the Ministry of Education of China (grant 18YJC630068) . The authors would like to thank the reviewers for their comments.
语种:英文
外文关键词:health knowledge contribution; economicincentives; diversity; propensity score matching; multi-period difference in differences
摘要:Background: To promote sustained contributions by physicians to online health care communities, these platforms have introduced a content payment model that offers economic incentives for physicians' online knowledge activities. However, the impact of these paid features on unpaid knowledge activities remains unexplored. Objective: This study investigated how the introduction of economic incentives in online medical communities affects physicians' unpaid knowledge activities in the community. Methods: The data for this study were obtained from the Haodf Online platform in China, which has implemented paid scenarios for its science popularization function, providing economic benefits to physicians. The dataset, which comprises panel data, includes 7453 physicians who participated in both paid and unpaid knowledge contributions on the website. This study examined the impact of paid knowledge activities on physicians' free knowledge contributions, focusing on dimensions including knowledge quantity, quality, and diversity. To address the timing discrepancies in physicians' participation in paid activities, we used a quasi-experimental design that combined the approach of propensity score matching and multi-period difference in differences. Results: In the balance test results of the propensity score matching, the absolute values of the SDs of all matching variables were mostly <5% after matching, ensuring the accuracy of the results obtained from the difference in differences method. This study found that participation in paid knowledge activities had a positive spillover effect on physicians' free knowledge contributions, which manifested in the increase in post quantity (473.1%; P<.001), article length (108%; P=.009), function word frequency (0.6%; P=.001), causal word frequency (0.2%; P<.001), and content information entropy (6.6%; P=.006). The paid function led to a decrease in the consistency between titles and content (-115.5%; P<.001). Conclusions: The findings of this study contribute to the existing literature on the impact of economic incentives in the medical context. For the platform, providing economic incentives to physicians can have positive significance in promoting the development of the platform's knowledge ecosystem and can effectively encourage physicians to contribute to both paid and free knowledge activities. This study provides a valuable reference for the platform to introduce a paid knowledge model, which is beneficial to the sustainable development of the platform.
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