The quality of crowdsourcing virtual community and users’ voice behavior: An analysis of stimulus-organism-response framework among Chinese users
The quality of a crowdsourcing virtual community is an essential factor that stimulates users' perceptions of belonging and attachment to the community, thereby influencing their behavior. As a prerequisite for the development of “creative crowdsourcing,” it is particularly important to study h...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024029128 |
| _version_ | 1797259780145807360 |
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| author | Ganli Liao Jing Wang Qichao Zhang Xin Ding |
| author_facet | Ganli Liao Jing Wang Qichao Zhang Xin Ding |
| author_sort | Ganli Liao |
| collection | DOAJ |
| description | The quality of a crowdsourcing virtual community is an essential factor that stimulates users' perceptions of belonging and attachment to the community, thereby influencing their behavior. As a prerequisite for the development of “creative crowdsourcing,” it is particularly important to study how users' voice behavior can be promoted in virtual communities. Drawing on the Stimulus-Organism-Response (SOR) framework and the Social Identification Theory, this study developed a conceptual model that investigates the impact of crowdsourcing virtual communities in system, information, interaction, and service quality on users' voice behavior. Furthermore, we introduce community identification and self-disclosure to further analyze the influencing mechanism between these two variables. Data were collected through 672 survey questionnaires from participants in well-known crowdsourcing virtual communities such as Xiaohongshu, Bilibili, Haier Hope, Test Baidu, and Test China. Using hierarchical regression and bootstrap analysis, we found a positive correlation between the quality of the crowdsourcing virtual community and users’ voice behavior, with community identification acting as a mediator. Furthermore, self-disclosure showed a significant moderating effect on the relationship between community identification and voice behavior. These findings significantly contribute to the theoretical landscape by advancing the SOR framework within a virtual community. This not only deepens the understanding of the quality of the crowdsourcing virtual community, but also provides theoretical and practical implications for managers and users on how to promote voice behavior. |
| first_indexed | 2024-03-07T21:43:23Z |
| format | Article |
| id | doaj.art-49cfc7f6d8474bc19e3d85be52fb1fcc |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T23:14:52Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-49cfc7f6d8474bc19e3d85be52fb1fcc2024-03-17T07:56:38ZengElsevierHeliyon2405-84402024-03-01105e26881The quality of crowdsourcing virtual community and users’ voice behavior: An analysis of stimulus-organism-response framework among Chinese usersGanli Liao0Jing Wang1Qichao Zhang2Xin Ding3School of Economics and Management, Beijing Information Science and Technology University, Beijing, China; Corresponding author.School of Economics and Management, Beijing Information Science and Technology University, Beijing, ChinaSchool of Economics and Management, Beijing Information Science and Technology University, Beijing, ChinaPostdoctoral Research Station, Zhongguancun Smart City Co., Ltd., Beijing, ChinaThe quality of a crowdsourcing virtual community is an essential factor that stimulates users' perceptions of belonging and attachment to the community, thereby influencing their behavior. As a prerequisite for the development of “creative crowdsourcing,” it is particularly important to study how users' voice behavior can be promoted in virtual communities. Drawing on the Stimulus-Organism-Response (SOR) framework and the Social Identification Theory, this study developed a conceptual model that investigates the impact of crowdsourcing virtual communities in system, information, interaction, and service quality on users' voice behavior. Furthermore, we introduce community identification and self-disclosure to further analyze the influencing mechanism between these two variables. Data were collected through 672 survey questionnaires from participants in well-known crowdsourcing virtual communities such as Xiaohongshu, Bilibili, Haier Hope, Test Baidu, and Test China. Using hierarchical regression and bootstrap analysis, we found a positive correlation between the quality of the crowdsourcing virtual community and users’ voice behavior, with community identification acting as a mediator. Furthermore, self-disclosure showed a significant moderating effect on the relationship between community identification and voice behavior. These findings significantly contribute to the theoretical landscape by advancing the SOR framework within a virtual community. This not only deepens the understanding of the quality of the crowdsourcing virtual community, but also provides theoretical and practical implications for managers and users on how to promote voice behavior.http://www.sciencedirect.com/science/article/pii/S2405844024029128Quality of crowdsourcing virtual communityUsers' voice behaviorCommunity identificationSelf-disclosure |
| spellingShingle | Ganli Liao Jing Wang Qichao Zhang Xin Ding The quality of crowdsourcing virtual community and users’ voice behavior: An analysis of stimulus-organism-response framework among Chinese users Heliyon Quality of crowdsourcing virtual community Users' voice behavior Community identification Self-disclosure |
| title | The quality of crowdsourcing virtual community and users’ voice behavior: An analysis of stimulus-organism-response framework among Chinese users |
| title_full | The quality of crowdsourcing virtual community and users’ voice behavior: An analysis of stimulus-organism-response framework among Chinese users |
| title_fullStr | The quality of crowdsourcing virtual community and users’ voice behavior: An analysis of stimulus-organism-response framework among Chinese users |
| title_full_unstemmed | The quality of crowdsourcing virtual community and users’ voice behavior: An analysis of stimulus-organism-response framework among Chinese users |
| title_short | The quality of crowdsourcing virtual community and users’ voice behavior: An analysis of stimulus-organism-response framework among Chinese users |
| title_sort | quality of crowdsourcing virtual community and users voice behavior an analysis of stimulus organism response framework among chinese users |
| topic | Quality of crowdsourcing virtual community Users' voice behavior Community identification Self-disclosure |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024029128 |
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