A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community

Tingshuang Liao; Wei Qi; Biao Xiang

doi:doi:10.11648/j.sjbm.20221002.12

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A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community

Tingshuang Liao, Wei Qi, Biao Xiang

Published in Science Journal of Business and Management (Volume 10, Issue 2)

Received: 18 April 2022 Published: 20 April 2022

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Abstract

Online medical communities have bestially alleviated the traditional medical field problems that uneven distribution of medical resources and difficulty seeking medical treatment to a certain extent. Patients in the online medical community pay more attention to the doctors’ word-of-mouth (WOM), resulting in the doctors’ WOM effect. There are few studies on the influencing factors of doctors' WOM effect in online medical communities, hence this study has theoretical and practical application value. By integrating trust theory, social network theory, online reputation feedback mechanism and the research framework of WOM under the Internet, this study constructs factors’ four dimensions that have an impact on doctor's WOM effect, combined with control variables to construct influential factors of doctor's WOM effect in the online medical community. The corresponding indicators that affect the doctor's WOM effect were built and sorted by random forest regression with the doctor's online medical community data. This study performed random permutations and multiple regression based on the selected variables integrated with the control variables to obtain the optimal model. The multiple regression analysis illustrates doctor's WOM effect with control variables exploring the interaction effect. This study explores the optimal model that affects the doctors’ WOM effect in the online medical community and aims to reasonably guide the scientific operation of the online medical community platform.

Published in	Science Journal of Business and Management (Volume 10, Issue 2)
DOI	10.11648/j.sjbm.20221002.12
Page(s)	68-74
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Online Medical Community, WOM Effect, Random Forest Regression, Multiple Regression

References

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APA Style

Tingshuang Liao, Wei Qi, Biao Xiang. (2022). A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community. Science Journal of Business and Management, 10(2), 68-74. https://doi.org/10.11648/j.sjbm.20221002.12

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ACS Style

Tingshuang Liao; Wei Qi; Biao Xiang. A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community. Sci. J. Bus. Manag. 2022, 10(2), 68-74. doi: 10.11648/j.sjbm.20221002.12

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AMA Style

Tingshuang Liao, Wei Qi, Biao Xiang. A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community. Sci J Bus Manag. 2022;10(2):68-74. doi: 10.11648/j.sjbm.20221002.12

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@article{10.11648/j.sjbm.20221002.12,
  author = {Tingshuang Liao and Wei Qi and Biao Xiang},
  title = {A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community},
  journal = {Science Journal of Business and Management},
  volume = {10},
  number = {2},
  pages = {68-74},
  doi = {10.11648/j.sjbm.20221002.12},
  url = {https://doi.org/10.11648/j.sjbm.20221002.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20221002.12},
  abstract = {Online medical communities have bestially alleviated the traditional medical field problems that uneven distribution of medical resources and difficulty seeking medical treatment to a certain extent. Patients in the online medical community pay more attention to the doctors’ word-of-mouth (WOM), resulting in the doctors’ WOM effect. There are few studies on the influencing factors of doctors' WOM effect in online medical communities, hence this study has theoretical and practical application value. By integrating trust theory, social network theory, online reputation feedback mechanism and the research framework of WOM under the Internet, this study constructs factors’ four dimensions that have an impact on doctor's WOM effect, combined with control variables to construct influential factors of doctor's WOM effect in the online medical community. The corresponding indicators that affect the doctor's WOM effect were built and sorted by random forest regression with the doctor's online medical community data. This study performed random permutations and multiple regression based on the selected variables integrated with the control variables to obtain the optimal model. The multiple regression analysis illustrates doctor's WOM effect with control variables exploring the interaction effect. This study explores the optimal model that affects the doctors’ WOM effect in the online medical community and aims to reasonably guide the scientific operation of the online medical community platform.},
 year = {2022}
}

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TY  - JOUR
T1  - A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community
AU  - Tingshuang Liao
AU  - Wei Qi
AU  - Biao Xiang
Y1  - 2022/04/20
PY  - 2022
N1  - https://doi.org/10.11648/j.sjbm.20221002.12
DO  - 10.11648/j.sjbm.20221002.12
T2  - Science Journal of Business and Management
JF  - Science Journal of Business and Management
JO  - Science Journal of Business and Management
SP  - 68
EP  - 74
PB  - Science Publishing Group
SN  - 2331-0634
UR  - https://doi.org/10.11648/j.sjbm.20221002.12
AB  - Online medical communities have bestially alleviated the traditional medical field problems that uneven distribution of medical resources and difficulty seeking medical treatment to a certain extent. Patients in the online medical community pay more attention to the doctors’ word-of-mouth (WOM), resulting in the doctors’ WOM effect. There are few studies on the influencing factors of doctors' WOM effect in online medical communities, hence this study has theoretical and practical application value. By integrating trust theory, social network theory, online reputation feedback mechanism and the research framework of WOM under the Internet, this study constructs factors’ four dimensions that have an impact on doctor's WOM effect, combined with control variables to construct influential factors of doctor's WOM effect in the online medical community. The corresponding indicators that affect the doctor's WOM effect were built and sorted by random forest regression with the doctor's online medical community data. This study performed random permutations and multiple regression based on the selected variables integrated with the control variables to obtain the optimal model. The multiple regression analysis illustrates doctor's WOM effect with control variables exploring the interaction effect. This study explores the optimal model that affects the doctors’ WOM effect in the online medical community and aims to reasonably guide the scientific operation of the online medical community platform.
VL  - 10
IS  - 2
ER  -

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Author Information

Tingshuang Liao

School of Management Harbin Institute of Technology, Harbin Institute of Technology, Harbin, China
Wei Qi

School of Management Harbin Institute of Technology, Harbin Institute of Technology, Harbin, China
Biao Xiang

School of Management Harbin Institute of Technology, Harbin Institute of Technology, Harbin, China

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Plain Text BibTeX RIS

APA Style

Tingshuang Liao, Wei Qi, Biao Xiang. (2022). A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community. Science Journal of Business and Management, 10(2), 68-74. https://doi.org/10.11648/j.sjbm.20221002.12

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ACS Style

Tingshuang Liao; Wei Qi; Biao Xiang. A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community. Sci. J. Bus. Manag. 2022, 10(2), 68-74. doi: 10.11648/j.sjbm.20221002.12

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AMA Style

Tingshuang Liao, Wei Qi, Biao Xiang. A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community. Sci J Bus Manag. 2022;10(2):68-74. doi: 10.11648/j.sjbm.20221002.12

Copy | Download

@article{10.11648/j.sjbm.20221002.12,
  author = {Tingshuang Liao and Wei Qi and Biao Xiang},
  title = {A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community},
  journal = {Science Journal of Business and Management},
  volume = {10},
  number = {2},
  pages = {68-74},
  doi = {10.11648/j.sjbm.20221002.12},
  url = {https://doi.org/10.11648/j.sjbm.20221002.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20221002.12},
  abstract = {Online medical communities have bestially alleviated the traditional medical field problems that uneven distribution of medical resources and difficulty seeking medical treatment to a certain extent. Patients in the online medical community pay more attention to the doctors’ word-of-mouth (WOM), resulting in the doctors’ WOM effect. There are few studies on the influencing factors of doctors' WOM effect in online medical communities, hence this study has theoretical and practical application value. By integrating trust theory, social network theory, online reputation feedback mechanism and the research framework of WOM under the Internet, this study constructs factors’ four dimensions that have an impact on doctor's WOM effect, combined with control variables to construct influential factors of doctor's WOM effect in the online medical community. The corresponding indicators that affect the doctor's WOM effect were built and sorted by random forest regression with the doctor's online medical community data. This study performed random permutations and multiple regression based on the selected variables integrated with the control variables to obtain the optimal model. The multiple regression analysis illustrates doctor's WOM effect with control variables exploring the interaction effect. This study explores the optimal model that affects the doctors’ WOM effect in the online medical community and aims to reasonably guide the scientific operation of the online medical community platform.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - A Study of Influential Factors in Doctor's WOM Effect Within Online Medical Community
AU  - Tingshuang Liao
AU  - Wei Qi
AU  - Biao Xiang
Y1  - 2022/04/20
PY  - 2022
N1  - https://doi.org/10.11648/j.sjbm.20221002.12
DO  - 10.11648/j.sjbm.20221002.12
T2  - Science Journal of Business and Management
JF  - Science Journal of Business and Management
JO  - Science Journal of Business and Management
SP  - 68
EP  - 74
PB  - Science Publishing Group
SN  - 2331-0634
UR  - https://doi.org/10.11648/j.sjbm.20221002.12
AB  - Online medical communities have bestially alleviated the traditional medical field problems that uneven distribution of medical resources and difficulty seeking medical treatment to a certain extent. Patients in the online medical community pay more attention to the doctors’ word-of-mouth (WOM), resulting in the doctors’ WOM effect. There are few studies on the influencing factors of doctors' WOM effect in online medical communities, hence this study has theoretical and practical application value. By integrating trust theory, social network theory, online reputation feedback mechanism and the research framework of WOM under the Internet, this study constructs factors’ four dimensions that have an impact on doctor's WOM effect, combined with control variables to construct influential factors of doctor's WOM effect in the online medical community. The corresponding indicators that affect the doctor's WOM effect were built and sorted by random forest regression with the doctor's online medical community data. This study performed random permutations and multiple regression based on the selected variables integrated with the control variables to obtain the optimal model. The multiple regression analysis illustrates doctor's WOM effect with control variables exploring the interaction effect. This study explores the optimal model that affects the doctors’ WOM effect in the online medical community and aims to reasonably guide the scientific operation of the online medical community platform.
VL  - 10
IS  - 2
ER  -

Copy | Download