Knowledge Payment Research Articles

From free to paid: Customer expertise and customer satisfaction on knowledge payment platforms

In this study, we investigate what factors are influential to customer satisfaction of paid knowledge, especially among different customer segments, by integrating user activities on both free and paid platforms. Considering the complexity of knowledge acquisition, we first propose a novel measurement of “customer expertise” based on text mining, as a criterion for customer segmentation. Drawing upon the value-percept diversity theory, we then postulate a conceptual model proposing that customers with different expertise would react differently to the price of knowledge and historical knowledge-consuming transactions, in terms of customer satisfaction. We test the model empirically through the hierarchical OLS regression with data collected from Zhihu and Zhihu Live. Distinguishing expert and novice customers, we have findings that (1) expert customers are less sensitive to price; (2) historical price positively influences the satisfaction of novice customers, but negatively for expert customers; (3) expert customers are less influenced by historical satisfaction, which have important implications for market targeting and knowledge pricing strategy.

Knowledge payment research: status quo and key issues

PurposeKnowledge sharing has entered the stage of knowledge payment with the typical models of paid Q&A, live session, paid subscription, course column and community service. Numerous knowledge suppliers have begun to pour into the knowledge payment market, and users' willingness to pay for premium content has increased. However, the academic research on knowledge payment has just begun.Design/methodology/approachIn this paper, the authors searched several bibliographic databases using keywords such as “knowledge payment”, “paid Q&A”, “pay for answer”, “social Q&A”, “paywall” and “online health consultation” and selected papers from aspects of research scenes, research topics, etc. Finally, a total of 116 articles were identified for combing studies.FindingsThis study found that in the early research, scholars paid attention to the definition of knowledge payment concept and the discrimination of typical models. With the continuous enrichment of research literature, the research direction has gradually been refined into three main branches from the perspective of research objects, i.e. knowledge provider, knowledge demander and knowledge payment platform.Originality/valueThis paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, the authors found out conflicting and contradictory research results and research gaps in the existing research and then put forward the urgent research topics.

Construction and analysis of campus knowledge payment platform under the wave of big data

With the increasing popularity of the network information age, "big data" emerging at the historic moment, has become the hottest IT industry vocabulary. In this context, the application of big data technology plays an important role in the construction of campus knowledge payment platform. Therefore, this paper is dedicated to studying the technical support for the construction of campus knowledge payment platform and the influence of big data on the platform construction, so as to promote the platform technology upgrade and optimize the platform management.

Research on the Perceived Value of College Students for Knowledge-Paying Products

In recent years, the rapid development of the knowledge payment industry has been widely concerned. Based on the current situation of college students’ perceived value to customers of knowledge-paying products, the paper collected 395 valid questionnaires by questionnaire survey method, exploring the effect of perceived value on satisfaction and purchase intention. The results show that the main factor that affects consumers’ intention to buy online knowledge-paying products is perceived value. Among them, functional value, emotional value, and social value all have positive and significant effects on the purchase intention, and the higher the perceived value and satisfaction are, the stronger the purchase intention is. In the perceived value, functional value has the most significant effect on the purchase intention.

Analysis and Research on Operating Mode of Voice Platform Based on Knowledge Payment

In order to fully understand the current operating mode of the voice-based knowledge payment platform to discuss the future development trend of the voice-based knowledge payment, a preliminary analysis of the current mature knowledge payment platform operation mode in China is conducted through case analysis, comparative analysis, literature analysis, observation method, and other methods combined with Newcomb A-B-X balance model and Maletsk’s “CMR” model, thereby providing reasonable suggestions for the development of a voice knowledge payment platform. The results show that as a new knowledge dissemination model, the new knowledge payment-based voice platform has specific innovations in terms of content production and communication structure. Its primary operation mode is to obtain the continuous consumption of users through the improvement of the three aspects of product quality and payment, mode, and traffic import. In summary, knowledge payment has changed the traditional way and ability to acquire knowledge, opened new ways to acquire knowledge, and provided new choices for users to learn knowledge. In the future, the development of the demand for knowledge payment is inseparable from the renewal of new technologies and the improvement of services. Paying attention to tail content, strengthening sociality and introducing new technologies are particularly important for the development of the platform. The trinity of content, social interaction and scenario also contribute to the healthy development of knowledge payment market.

Is Knowledge Payment a Good Medicine for the Dilemma of Knowledge Sharing in Virtual Community? — Zhihu Live

Is Knowledge Payment a Good Medicine for the Dilemma of Knowledge Sharing in Virtual Community? — Zhihu Live