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Unveiling Psychosocial Factors Influencing Metaverse-Associated App Adoption: Acumens from fsQCA Approach.

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Title: Unveiling Psychosocial Factors Influencing Metaverse-Associated App Adoption: Acumens from fsQCA Approach.
Authors: Yuan, Jingbo (AUTHOR), Shah, Sayed Kifayat (AUTHOR), Tajeddini, Kayhan (AUTHOR), Gamage, Thilini Chathurika (AUTHOR), Acevedo-Duque, Ángel (AUTHOR)
Source: International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 22, p14306-14320. 15p.
Subjects: Psychosocial factors, Consumer behavior, Technology Acceptance Model, Theorists, Partial least squares regression, Comparative studies, Shared virtual environments, Complexity (Philosophy)
Abstract: The Metaverse represents a fusion of the physical and digital worlds, heralding the next evolution in the manufacturing and services sector. Given the rapid proliferation of Metaverse-associated apps (MAPPs), gaining a profound understanding of consumer proclivities and intentions to use them is crucial. However, existing Metaverse literature primarily uses symmetric variance-based approaches, which have not fully captured the complex interactions among factors influencing adoption. We address this gap by examining how various psychosocial factors and their configurations influence MAPPs adoption through the lens of configuration and complexity theories. The research results were based on a sample of 372 Chinese consumers analyzed using PLS-SEM, NCA, and fsQCA, identifying seven distinct solutions, each characterized by a unique combination of personality, motivational, social, and functional traits. This study adds to the Metaverse literature by offering a robust theoretical framework to explain the asymmetric impact of psychosocial factors on MAPP adoption. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Unveiling Psychosocial Factors Influencing Metaverse-Associated App Adoption: Acumens from fsQCA Approach.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Nov2025, Vol. 41 Issue 22, p14306-14320. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Psychosocial+factors%22">Psychosocial factors</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+behavior%22">Consumer behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Theorists%22">Theorists</searchLink><br /><searchLink fieldCode="DE" term="%22Partial+least+squares+regression%22">Partial least squares regression</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Shared+virtual+environments%22">Shared virtual environments</searchLink><br /><searchLink fieldCode="DE" term="%22Complexity+%28Philosophy%29%22">Complexity (Philosophy)</searchLink>
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  Data: The Metaverse represents a fusion of the physical and digital worlds, heralding the next evolution in the manufacturing and services sector. Given the rapid proliferation of Metaverse-associated apps (MAPPs), gaining a profound understanding of consumer proclivities and intentions to use them is crucial. However, existing Metaverse literature primarily uses symmetric variance-based approaches, which have not fully captured the complex interactions among factors influencing adoption. We address this gap by examining how various psychosocial factors and their configurations influence MAPPs adoption through the lens of configuration and complexity theories. The research results were based on a sample of 372 Chinese consumers analyzed using PLS-SEM, NCA, and fsQCA, identifying seven distinct solutions, each characterized by a unique combination of personality, motivational, social, and functional traits. This study adds to the Metaverse literature by offering a robust theoretical framework to explain the asymmetric impact of psychosocial factors on MAPP adoption. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/10447318.2025.2482744
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              Text: Nov2025
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