Query: knowledge payment

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

title: Knowledge payment research: status quo and key issues
abstract: Knowledge 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.  In 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.  This 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.  This 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.

title: Research on Knowledge Payment Willingness and Its Influencing Factors
abstract: Knowledge payment has been known by more and more people since 2016. What is the willingness of people to pay for knowledge in the current environment? What are the influencing factors of willingness to pay for knowledge? This is the content of this study. In this study, factor analysis is used to classify the factors affecting knowledge payment into perceived usefulness, perceived ease of use, perceived risk and subjective norms. The results show that these four factors have a positive impact on the willingness to pay for knowledge.

title: An Empirical Research on the Effect of Free Knowledge in the Knowledge Payment Platform
abstract: With the advent of the era of knowledge payment, more and more online knowledge platforms are starting to offer knowledge that is paid for. This paper studies the effects of free knowledge on the number of purchase of paid knowledge from the perspective of content carrier platform. We collect the real data about free and paid knowledge from the largest Q&A platform in China. Then the hierarchical regression models are used to analyze the effects of the popularity of free knowledge on paid knowledge. We also examine the moderating effects of type and price of paid knowledge. The results of our study show that the number of questions and most relevant content of free knowledge have significant effects on the number of purchase of paid knowledge. Paid knowledge of audio type is more affected by the number of questions and most relevant content of free knowledge than paid knowledge of video type. And the price of paid knowledge strengthens the negative effect of most relevant content of free knowledge on it. The experiments are based on real world large scale data sets, providing data driven decision support for the management of free and paid knowledge in online knowledge platforms.

title: Construction and analysis of campus knowledge payment platform under the wave of big data
abstract: 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.

title: Analysis and Research on Operating Mode of Voice Platform Based on Knowledge Payment
abstract: 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.

title: Chapter 14 A Research on the Development Trend of Knowledge Payment Based on Zhihu
abstract: Recently, sharing economy is gradually accepted by people, and it has expanded from life to knowledge. It is important to encourage people to produce high quality content in knowledge sharing area, and knowledge payment is one of the most effective ways to achieve it. Therefore, the knowledge payment has been regarded as a huge business opportunity, and it is of great meaning to study the development trend and feasibility of knowledge payment. This chapter, through big data methods, analyzes the business model of Zhihu (a Chinese platform of knowledge sharing) after it introduced knowledge payment projects, such as Zhihu Live and Pay Consultation. According to data of Zhihu users' Q&A, concerned fields and others, this chapter tries to outline its user profile to find out the target groups of different topics, the proper form of knowledge payment and the hot topics of Zhihu Live. Through the analysis of knowledge graph, this chapter finds that Zhihu Live is expected to be the mainstream knowledge payment form in the future, and the most potential topics are mainly focused on science, law, and business. Meanwhile, it establishes a pricing model for Zhihu Live, and provides suggestions for the development of knowledge payment.

title: The Study of Charging Mechanism of Knowledge Payment Platform Based on Tripartite Game Model
abstract: As a new form of sharing economy, knowledge payment market has developed rapidly in recent years. A reasonable and effective charging mechanism can coordinate the interest relationship between knowledge payment platform and users, maximize the interests of all parties, and promote the sustainable and healthy development of knowledge transaction. This paper constructs a tripartite game model with knowledge demanders, knowledge suppliers and knowledge payment platform as the main body, compares the effects of the quality level of knowledge product} the price of knowledge product, the level of value added service and the proportion of transaction commission fees on the decision making of each game subject. First, knowledge demanders will make purchasing decisions when the marginal utility of money is equal to the marginal utility of quality. At this time, the total utility of knowledge demanders is the largest. Second, in order to increase profits, knowledge suppliers will improve the quality level of knowledge products and price high quality knowledge products with the willingness of knowledge demanders. And knowledge suppliers will purchase value added services that will maximize their profits. Third, the knowledge payment platform will maximize its own benefits by increasing the influence on the purchasing behavior of knowledge demanders, improving the efficiency of value added services, and implementing the commission differential charging for knowledge suppliers.

title: Research on the Influencing Factors of the Willingness to Pay for Knowledge Consumers in the Knowledge Payment Platform

title: An Empirical Study of the Impacts of Perceived Security and Knowledge on Continuous Intention to Use Mobile Fintech Payment Services
abstract: Financial technology (Fintech) services using emerging technology such as the Internet of Things (IoT) is becoming more prevalent. The recent proliferation of the mobile payment sector led by innovative mobile Fintech payment services such as Apple Pay and Samsung Pay is the most important and fastest growing Fintech services from consumers' perspective. Although businesses have been making efforts to spread the use of the services, security is crucial in the diffusion of the services. Despite the importance, the role of perceived security in continuous intention to use mobile, Fintech services has not yet been investigated in depth. Thus, this study investigates the relationships between perceived security, knowledge regarding the services, confirmation, perceived usefulness, and satisfaction. We propose a research model using an extended post acceptance model (EPAM) as a theoretical framework in the context of Fintech services. We then validate the model using the data collected from the service users. The analyzed results show that knowledge and perceived security in mobile Fintech services have a significant influence on users' confirmation and perceived usefulness. However, perceived security does not directly influence users' satisfaction and continual intention to use. We further find significant relationships among confirmation, perceived usefulness, satisfaction, and continual intention to use of the services. We discuss theoretical and practical contributions of the study.