Exploring payment behavior for live courses in social Q&amp;A communities: An information foraging perspective

Shi, Xiao; Zheng, Xiabing; Yang, Feng

doi:10.1016/j.ipm.2020.102241

Cited by 50 publications

(46 citation statements)

References 87 publications

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“…This result was similar to the comparison in their customer satisfaction. In line with past research (Jin et al, 2019;Shi et al, 2020;Zhao et al, 2018), sellers with more verifications were more likely to be perceived as high quality and ultimately obtained more positive postpurchase feedback.…”

Section: Key Findingssupporting

confidence: 88%

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Who sells knowledge online? An exploratory study of knowledge celebrities in China

Chen

Chua

Pee

2021

INTR

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PurposeThis 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/approachA 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.FindingsKnowledge 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/valueAs 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.

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Section: Key Findingssupporting

confidence: 88%

“…There is an emerging body of literature on users' payment for knowledge products (e.g. Cai et al , 2020; Liu et al , 2021; Shi et al , 2020; Zhang et al ., 2019a, c; Zhao et al , 2020). Nevertheless, investigating consumers' willingness to pay for knowledge products is only a part of the pay-for-knowledge model in China.…”

Section: Literature Reviewmentioning

confidence: 99%

Who sells knowledge online? An exploratory study of knowledge celebrities in China

Chen

Chua

Pee

2021

INTR

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“…Currently, a global marketplace for paid knowledge industry is taking shape, with representatives including Quora and Yahoo! Answers in the USA, knowledge-iN in Korea, and Baidu Knows, Himalaya FM, Zhihu Live in China (Shi et al , 2020). Monthly users of Quora in the USA were 300 million (Recode, 2020), while the registered users of China's Zhihu Live reached 880 million (iiMedia Research, 2020).…”

Section: Introductionmentioning

confidence: 99%

Examining the factors influencing user satisfaction and loyalty on paid knowledge platforms

Jin

2020

AJIM

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PurposeThe purpose of this study is to draw on the updated information system success model, perceived value and new product novelty to identify the factors that may influence user satisfaction and loyalty with paid knowledge platforms.Design/methodology/approachThe authors used the survey method to collect 540 valid sample data. The structural equation modelling (SEM) technique was employed to test the proposed research model and hypotheses.FindingsThe findings suggested that system, information and service quality significantly affected the perceived utilitarian value, while service quality and new product novelty had significant impact on perceived hedonic value. Besides, both the perceived utilitarian value and the perceived hedonic value had a significant effect on user satisfaction and further significantly impacted user loyalty. The authors also found user differences, including gender, education level and use frequency, which had a significant influence on perceived utilitarian value, perceived hedonic value and user loyalty.Research limitations/implicationsThe results can help researchers and practitioners better understanding the factors that influence user satisfaction and loyalty with paid knowledge platforms.Originality/valueThe authors applied the theories of perceived value, new product novelty and user loyalty to the domain of paid knowledge platforms and explored the factors influencing the user satisfaction and loyalty to paid knowledge platforms.

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“…The higher the rating score, the more satisfied previous askers feel about the service. The number of likes has the similar significance as the rating score to show users' cumulative recognition of public answers (Shi, Zheng, & Yang, 2020). We use average number of likes each public answer receives in a period of time (in equation ( 2)) as another variable of perceived usefulness.…”

Section: Journal Of Data and Information Sciencementioning

confidence: 99%

A Causal Configuration Analysis of Payment Decision Drivers in Paid Q&A

Chen

Cheng

2021

Journal of Data and Information Science

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PurposeThis paper examines factors of payment decision as well as the role each factor plays in casual configurations leading to high payment intention under systematic and heuristic information processing routes.Design/methodology/approachBased on heuristic-systematic model (HSM), we propose a configurational analytic framework to investigate complex casual relationships between influencing factors and payment decision. In line with this approach, we use fuzzy-set qualitative comparative analysis (fsQCA) to analyze data crawled from Zhihu.com.FindingsThe number of previous consultations is a necessary element in all five equivalent configurations which lead to high intention in payment decision. The heuristic processing route plays a core role while the systematic processing route plays a peripheral role in payment decision-making process.Research limitationsResearch is limited in that moderating effect of professional fields has not been considered in the framework.Practical implicationsConfigurations in results can assist managers of knowledge communities and paid Q&A service providers in the management of information elements to motivate more payment decision.Originality/valueThis paper is one of the few studies to apply HSM theory and fsQCA method with respect to the payment decision in paid Q&A.

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Exploring payment behavior for live courses in social Q&A communities: An information foraging perspective

Cited by 50 publications

References 87 publications

Who sells knowledge online? An exploratory study of knowledge celebrities in China

Who sells knowledge online? An exploratory study of knowledge celebrities in China

Examining the factors influencing user satisfaction and loyalty on paid knowledge platforms

A Causal Configuration Analysis of Payment Decision Drivers in Paid Q&A

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