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Exploring the influence of doctor–patient social ties and knowledge ties on patient selection

Shuqing Chen (School of Management, Harbin Institute of Technology, Harbin, China)
Xitong Guo (School of Management, Harbin Institute of Technology, Harbin, China)
Tianshi Wu (School of Management, Harbin Institute of Technology, Harbin, China)
Xiaofeng Ju (School of Management, Harbin Institute of Technology, Harbin, China)

Internet Research

ISSN: 1066-2243

Article publication date: 10 August 2021

Issue publication date: 18 January 2022

938

Abstract

Purpose

With the advent of the Digital 2.0 era, online doctor–patient (D–P) interaction has become increasingly popular. However, due to the fact that doctors use their fragmented time to serve patients, online D–P interaction inevitably has some problems, such as the lack of pertinence in the reply content and doctors' relative unfamiliarity with their individual patients. Therefore, the purpose of this study is to excavate whether potential D–P social ties and D–P knowledge ties accentuate or attenuate the influence of patient selection (online and offline selection).

Design/methodology/approach

The authors used the methods of text mining and empirical analysis on the structured and unstructured data of an online consultation platform in China to examine the research hypotheses.

Findings

The findings illustrate that the potential D–P social ties increase the influence on patient selection, as do the potential D–P knowledge ties. Specifically, the effect of social ties on patient selection is positively moderated by patient health literacy. Conversely, health literacy weakens the link between knowledge ties and patient selection. In addition, the doctor's title weakens the influence of social ties on patient selection, in contrast to knowledge ties (partially).

Originality/value

This study provides guidance for doctors and patients on how to communicate effectively and alleviate tension within D–P relationships. The study’s findings have both theoretical and practical implications for both doctors' and online platforms' decision-making.

Keywords

Acknowledgements

The authors are grateful to the editors for their guidance and to the anonymous reviewers for their constructive suggestions. This study was partially funded by the National Natural Science of China (72071054, 71771065, 71871074, 71871073), and the Fundamental Research Funds for the Central Universities HIT.BRET.2021002.

Declarations of interest: None

Citation

Chen, S., Guo, X., Wu, T. and Ju, X. (2022), "Exploring the influence of doctor–patient social ties and knowledge ties on patient selection", Internet Research, Vol. 32 No. 1, pp. 219-240. https://doi.org/10.1108/INTR-07-2020-0403

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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