The influence of patient-generated reviews and doctor-patient relationship on online consultations in China
Abstract Online reviews are increasingly being used and researched by people worldwide. Compared with previous studies on traditional products or services, research focused on online health communities (OHCs) is still insufficient. Thus, based on cue diagnosticity theory, this research concentrates...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hu, Yajie [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Electronic commerce research - Springer US, 2001, 23(2021), 2 vom: 16. Aug., Seite 1115-1141 |
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| Übergeordnetes Werk: |
volume:23 ; year:2021 ; number:2 ; day:16 ; month:08 ; pages:1115-1141 |
| Links: |
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| DOI / URN: |
10.1007/s10660-021-09506-8 |
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OLC2134734493 |
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| 520 | |a Abstract Online reviews are increasingly being used and researched by people worldwide. Compared with previous studies on traditional products or services, research focused on online health communities (OHCs) is still insufficient. Thus, based on cue diagnosticity theory, this research concentrates on combining two mainstream studies by incorporating the patient-generated review with the unique characteristics of online medical services–the doctor-patient relationship–to study the information processing issues in choosing consultations. We clawed the dataset, including 2865 doctors related to 152,864 patient-generated reviews and information, from the GoodDoctor website. We then employed a negative binomial regression to test our hypotheses. Interestingly, we found that the effects of review length and review volume on doctors’ consultations can be negatively moderated by the doctor-patient relationship. Our findings can serve patients, doctors, platform managers, and others to optimize the application of patients’ information processing when choosing consultations. | ||
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| 700 | 1 | |a Su, Jiangwu |4 aut | |
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10.1007/s10660-021-09506-8 doi (DE-627)OLC2134734493 (DE-He213)s10660-021-09506-8-p DE-627 ger DE-627 rakwb eng 380 VZ 3,2 ssgn Hu, Yajie verfasserin aut The influence of patient-generated reviews and doctor-patient relationship on online consultations in China 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract Online reviews are increasingly being used and researched by people worldwide. Compared with previous studies on traditional products or services, research focused on online health communities (OHCs) is still insufficient. Thus, based on cue diagnosticity theory, this research concentrates on combining two mainstream studies by incorporating the patient-generated review with the unique characteristics of online medical services–the doctor-patient relationship–to study the information processing issues in choosing consultations. We clawed the dataset, including 2865 doctors related to 152,864 patient-generated reviews and information, from the GoodDoctor website. We then employed a negative binomial regression to test our hypotheses. Interestingly, we found that the effects of review length and review volume on doctors’ consultations can be negatively moderated by the doctor-patient relationship. Our findings can serve patients, doctors, platform managers, and others to optimize the application of patients’ information processing when choosing consultations. Online health communities Patient-generated review Doctor-patient relationship Cue diagnosticity theory Zhou, Huiwen (orcid)0000-0003-3923-0359 aut Chen, Yuangao aut Yao, Jianrong aut Su, Jiangwu aut Enthalten in Electronic commerce research Springer US, 2001 23(2021), 2 vom: 16. Aug., Seite 1115-1141 (DE-627)361997493 (DE-600)2106016-2 (DE-576)323104630 1389-5753 nnns volume:23 year:2021 number:2 day:16 month:08 pages:1115-1141 https://doi.org/10.1007/s10660-021-09506-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW AR 23 2021 2 16 08 1115-1141 |
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Abstract Online reviews are increasingly being used and researched by people worldwide. Compared with previous studies on traditional products or services, research focused on online health communities (OHCs) is still insufficient. Thus, based on cue diagnosticity theory, this research concentrates on combining two mainstream studies by incorporating the patient-generated review with the unique characteristics of online medical services–the doctor-patient relationship–to study the information processing issues in choosing consultations. We clawed the dataset, including 2865 doctors related to 152,864 patient-generated reviews and information, from the GoodDoctor website. We then employed a negative binomial regression to test our hypotheses. Interestingly, we found that the effects of review length and review volume on doctors’ consultations can be negatively moderated by the doctor-patient relationship. Our findings can serve patients, doctors, platform managers, and others to optimize the application of patients’ information processing when choosing consultations. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
| abstractGer |
Abstract Online reviews are increasingly being used and researched by people worldwide. Compared with previous studies on traditional products or services, research focused on online health communities (OHCs) is still insufficient. Thus, based on cue diagnosticity theory, this research concentrates on combining two mainstream studies by incorporating the patient-generated review with the unique characteristics of online medical services–the doctor-patient relationship–to study the information processing issues in choosing consultations. We clawed the dataset, including 2865 doctors related to 152,864 patient-generated reviews and information, from the GoodDoctor website. We then employed a negative binomial regression to test our hypotheses. Interestingly, we found that the effects of review length and review volume on doctors’ consultations can be negatively moderated by the doctor-patient relationship. Our findings can serve patients, doctors, platform managers, and others to optimize the application of patients’ information processing when choosing consultations. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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Abstract Online reviews are increasingly being used and researched by people worldwide. Compared with previous studies on traditional products or services, research focused on online health communities (OHCs) is still insufficient. Thus, based on cue diagnosticity theory, this research concentrates on combining two mainstream studies by incorporating the patient-generated review with the unique characteristics of online medical services–the doctor-patient relationship–to study the information processing issues in choosing consultations. We clawed the dataset, including 2865 doctors related to 152,864 patient-generated reviews and information, from the GoodDoctor website. We then employed a negative binomial regression to test our hypotheses. Interestingly, we found that the effects of review length and review volume on doctors’ consultations can be negatively moderated by the doctor-patient relationship. Our findings can serve patients, doctors, platform managers, and others to optimize the application of patients’ information processing when choosing consultations. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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The influence of patient-generated reviews and doctor-patient relationship on online consultations in China |
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Zhou, Huiwen Chen, Yuangao Yao, Jianrong Su, Jiangwu |
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