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The purpose of this study is to investigate the pricing strategies for knowledge payment products, taking into account the quality level of pirated knowledge products, in the context of platform copyright supervision.

This study abstracts the knowledge payment transaction process and aims to maximize producer's revenue by constructing a pricing model for knowledge payment products. It discusses pricing strategies for knowledge payment products under two scenarios: traditional supervision and blockchain supervision. The analysis explores the impact of pirated knowledge products quality level and blockchain technology on pricing strategies and consumer surplus, while providing threshold conditions for effective strategies.

Deploying blockchain technology in platform operations can significantly reduce costs and increase efficiency. In both scenarios, knowledge producer needs to balance factors such as the quality of pirated knowledge products, the supervision level of platform, and consumer surplus to dynamically adjust pricing strategies in order to maximize his own revenue.

This study enriches the literature on the pricing models of knowledge payment products and has practical significance in guiding knowledge producer to develop effective pricing strategies under copyright supervision.

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.

The purpose of this paper is to research the price strategies of online knowledge payment product by considering network externality in the C2C sharing economy.

Considering the characteristics of online knowledge goods and the social network externality of consumers, this study establishes a consumer utility function. On this basis, a multistage game pricing model of online knowledge products is established based on three kinds of network price strategies under a completely competitive market structure. It also analyzes the influence of consumer social network structure and consumer utility on online knowledge product pricing and producer profit, as well as the influence of consumer quantity and discount rate on pricing strategy.

The consumer social network and consumer utility affect the pricing of online knowledge product under different price strategies. In the growth period of the platform, adopting the price discrimination strategy, the profit of producers is significantly higher than that of other price strategies, and producers should choose effective price strategies for reasonable pricing in combination with their own sales objectives.

This study enriches the literature on the pricing model of online knowledge payment product and owns a practical significance to guide the knowledge producers’ marketing strategies to increase profit.

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.

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.

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.

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.

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.

The digitalization process has been influential on the way marketing is conducted. However, luxury brands have not yet fully channeled the benefits of the integration of various touchpoints. The aim of this chapter is to provide insights into building a luxury fashion omnichannel strategy through the integration of online and offline consumer journeys, based on the emerging needs and lifestyles of different luxury consumer segments. Accordingly, exploratory research is designed to understand luxury consumer typologies and luxury fashion shopping journeys. In-depth interviews were conducted for data collection in Istanbul, with 16 participants. Grounded theory coding was used for analyzing the data. Findings revealed four-consumer typologies –Luxury Beginners, Nouveaux Riches, Conservatives, Established Luxury Consumers. Luxury fashion journey map covering three major steps – pre-purchase, purchase, and post-­purchase – was illustrated based on the usage of both digital and non-digital channels and agents through the journey with discussions to present consumer differences. The results of the study add to the current literature and provide an omnichannel roadmap for the practitioners.

Keeping track of the revenue stream is important, but it's equally important to track the flow of knowledge and intangibles.

The purpose of this paper is to provide examples and technical details for conducting a value network analysis that addresses the conversion and utilisation of intangible assets.

Value network analysis was first developed in 1993 and was adapted in 1997 for intangible asset management. It has been tested in applications from shop floor work groups to business webs and economic regions. It draws from a theory based in living systems, knowledge management, complexity theory, system dynamics, and intangible asset management.

The paper provides a high level of detail on the analysis method and insights from its practical application across a range of business issues. Tips are provided for how to integrate the methodology with other business analysis approaches.

The paper does not provide a comparative analysis with other methods because most other value network models are process views, social network analysis or clustering techniques.

Sufficient detail is provided so researchers and practitioners will be able to apply the method in their own investigations. Further resources are noted, as well as access points to the global user community and open source tools.

This paper is the first detailed publication of the value network analysis method, which has been acclaimed by experts in intangibles, network analysis, knowledge management, and process analysis. It fills a gap between theory and practice for managers, executives, analysts, and researchers.

This paper aims to explore the complete process and underlying mechanism that social enterprises obtain legitimacy during interactions with stakeholders from theoretical integration of institutional theory and organization ecology perspective.

Based on theoretical classification, this paper selects six typical Chinese social enterprises and conducts a multi-case analysis.

The study finds that social enterprises aim at legitimizing single entity or industry and shaping stakeholders’ cognitive boundary simultaneously. Therefore, by adopting constrained cooperation and competition activities, social enterprises use normative isomorphism to achieve personal legitimation and combining ecological niche construction, social enterprises achieve organizational legitimation. By adopting fragmented cooperation-dominant or competition-dominant activities, social enterprises use mimic isomorphism supplemented by competitive isomorphism or population structure creation to obtain industry legitimation. By adopting dynamically integrated coopetition activities, social enterprises use mimic isomorphism and reflexive isomorphism to reach field legitimation.

This paper proposes a mechanism model that the coopetition with stakeholders influences the legitimation process, identifies four stages of social enterprise’s legitimation process and the types of legitimacy obtained in each stage and fills the gap of Chinese indigenous social enterprise research.

The purpose of this study is to analyze the systematic relationships among dynamic capabilities in startups’ survival.

This study is based on a systematic literature review on dynamic capabilities related to startups’ survival, following the content analysis approach.

This study presents four different perspectives of analysis about dynamic capabilities from resources exchange and business factors that meet needs of startups' survival. It also points out new area for future research in this field. In doing so, this study differentiates itself by its approach not limiting dynamic capabilities research and enriching entrepreneurs' capability theory.

By indicating an evolution of dynamic capabilities theory among tangible and intangible resources exchange in a more favorable adaptation to startups growth, this study boosters and contributes to the society, economy in general and to the science of business management in various perspectives such as overcoming cognitive barriers, entrepreneur’s commitment, innovation capabilities and knowledge capacity of startups.

This study amplifies dynamic capabilities vision in startups’ survival as one of the main sources for growth in this type of organizations. It also develops a deeper understanding about new avenues for dynamic capabilities theory among tangible and intangible resources exchange.