Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods

This study examines the determinants that drive the behavior of sharing health information within online health communities. Leveraging the Theory of Planned Behavior, the Technology Acceptance Model, and the “Knowledge-Attitude-Practice” theory, a comprehensive model elucidating the key elements th...

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Main Authors: Minhao Xiang, Tianning Guan, Mengqi Lin, Yujie Xie, Xingyu Luo, Minghua Han, Kun Lv
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/11/12/1789
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author Minhao Xiang
Tianning Guan
Mengqi Lin
Yujie Xie
Xingyu Luo
Minghua Han
Kun Lv
author_facet Minhao Xiang
Tianning Guan
Mengqi Lin
Yujie Xie
Xingyu Luo
Minghua Han
Kun Lv
author_sort Minhao Xiang
collection DOAJ
description This study examines the determinants that drive the behavior of sharing health information within online health communities. Leveraging the Theory of Planned Behavior, the Technology Acceptance Model, and the “Knowledge-Attitude-Practice” theory, a comprehensive model elucidating the key elements that sway the health information-sharing behavior among users of online health communities is designed. This model is validated through Structural Equation Modeling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA). Findings derived from the SEM suggest that perceived ease of use, perceived usefulness, perceived trust, and perceived behavioral control exert a significant positive impact on attitudes towards health information sharing, the intention to share health information, and the actual health information-sharing behavior. The fsQCA unfolds two unique configuration path models that lead to the emergence of health information-sharing behavior: one predicated on perceived trust and sharing intention, and the other on perceived usefulness, behavioral control, and sharing attitude. This research provides invaluable insights, fostering a deeper comprehension of the dynamics involved in health information sharing within online communities, thereby directing the design of more effective health platforms to augment user engagement and enable informed health decisions.
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spelling doaj.art-41373b0fbe9d46f49f1258ea5f4b9dd42023-11-18T10:39:11ZengMDPI AGHealthcare2227-90322023-06-011112178910.3390/healthcare11121789Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA MethodsMinhao Xiang0Tianning Guan1Mengqi Lin2Yujie Xie3Xingyu Luo4Minghua Han5Kun Lv6Business School, Ningbo University, Ningbo 315211, ChinaBusiness School, Ningbo University, Ningbo 315211, ChinaBusiness School, Ningbo University, Ningbo 315211, ChinaBusiness School, Ningbo University, Ningbo 315211, ChinaBusiness School, Ningbo University, Ningbo 315211, ChinaBusiness School, Ningbo University, Ningbo 315211, ChinaBusiness School, Ningbo University, Ningbo 315211, ChinaThis study examines the determinants that drive the behavior of sharing health information within online health communities. Leveraging the Theory of Planned Behavior, the Technology Acceptance Model, and the “Knowledge-Attitude-Practice” theory, a comprehensive model elucidating the key elements that sway the health information-sharing behavior among users of online health communities is designed. This model is validated through Structural Equation Modeling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA). Findings derived from the SEM suggest that perceived ease of use, perceived usefulness, perceived trust, and perceived behavioral control exert a significant positive impact on attitudes towards health information sharing, the intention to share health information, and the actual health information-sharing behavior. The fsQCA unfolds two unique configuration path models that lead to the emergence of health information-sharing behavior: one predicated on perceived trust and sharing intention, and the other on perceived usefulness, behavioral control, and sharing attitude. This research provides invaluable insights, fostering a deeper comprehension of the dynamics involved in health information sharing within online communities, thereby directing the design of more effective health platforms to augment user engagement and enable informed health decisions.https://www.mdpi.com/2227-9032/11/12/1789online health communityhealth informationinformation sharinginfluencing factorsconfiguration path
spellingShingle Minhao Xiang
Tianning Guan
Mengqi Lin
Yujie Xie
Xingyu Luo
Minghua Han
Kun Lv
Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods
Healthcare
online health community
health information
information sharing
influencing factors
configuration path
title Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods
title_full Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods
title_fullStr Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods
title_full_unstemmed Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods
title_short Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods
title_sort configuration path study of influencing factors on health information sharing behavior among users of online health communities based on sem and fsqca methods
topic online health community
health information
information sharing
influencing factors
configuration path
url https://www.mdpi.com/2227-9032/11/12/1789
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