Who sells knowledge online? An exploratory study of knowledge celebrities in China
Datos Bibliográficos
| ID | 12420237 |
|---|---|
| Autores | Xiaoyu Chen (0000-0003-1741-0674, Shanghai University, autor de correspondencia), Alton Y K Chua (0000-0002-5603-2453, Nanyang Technological University), Loo Geok Pee (0000-0003-3042-9011, Nanyang Technological University) |
| Año | 2021 |
| Volumen | 32 |
| Número | 3 |
| Páginas | 916-942 |
| Fecha de publicación | 2021-08-20 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Internet Research (JOURNAL) |
| Identificadores de la revista | ISSN: 1066-2243 • E-ISSN: 2054-5657 |
| Editorial | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/intr-07-2020-0378 |
| OpenAlex | W3194532506 |
| Idioma | EN |
| Citas recibidas | 8 |
| Referencias citadas | 43 |
Purpose This study explores identity signaling used by an emerging class of knowledge celebrities in China – Knowledge Wanghong – who sell knowledge products on online platforms. Because identity signaling may involve constructing unique online identities and controlling over product-related and seller-related characteristics, the purpose of this study is two-fold: (1) to uncover different online identities of knowledge celebrities; and (2) to examine the extent to which the online identity type is associated with their product-related characteristics, seller-related characteristics and sales performance. Design/methodology/approach A unique data set was collected from a Chinese leading pay-for-knowledge platform – Zhihu – which featured the online profiles of tens of thousands of knowledge celebrities. Online identity types were derived from their self-edited content using Latent Dirichlet Allocation (LDA) topic modeling. Thereafter, their product-related characteristics, seller-related characteristics and respective sales performance were analyzed across different identity types using analysis of variance (ANOVA) and multiple-group linear regression. Findings Knowledge celebrities are clustered into four distinctive online identities: Mentor, Broker, Storyteller and Geek. Product-related characteristics, sell-related characteristics and sales performance varied across four different identities. Additionally, the online identity type moderated the relationships among their product-related characteristics, sell-related characteristics and sales performance. Originality/value As emerging-phenomenon-based research, this study extends related literature by using the notion of identity signaling to analyze a peculiar group of online celebrities who are setting an important trend in the pay-for-knowledge model in China
Advertising · Business · Identity (music · Originality · Product (mathematics · Value (mathematics · Variance (accounting · Computer Science · Digital Marketing and Social Media · FinTech, Crowdfunding, Digital Finance · Mathematics · Media Influence and Politics · Psychology · Social Psychology · Marketing
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| Obras citantes distintas | 8 |
|---|---|
| Citas por año | 2,67 |
| Intervalo de citas | 2023 - 2026 (4) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 8 |