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This paper aims to find out the factors that influence the choice of dual innovation strategies in the process of knowledge pricing and transaction between first-mover and late-mover companies in an open innovation environment and also to find the key factors that affect the company's strategic choice in factors such as heterogeneous market environment, demand elasticity, exploration risk intellectual property prices and transaction cost.

This study uses the Cournot equilibrium and Stackelberg two-stage master-slave game model to describe the evolutionary process of knowledge pricing in an open innovation environment of first-mover and late-mover companies.

Research shows that in an open innovation environment, the formation of a dual innovation strategy in the pricing process of corporate intellectual property transactions is a complex process. Changes in one-time transaction costs and changes in the inverse demand coefficient of the innovation market play the decisive role in the choice of dual innovation strategies. When the demand of the innovation market is moderate, the inverse demand coefficient of the innovation market and the one-time transaction cost has an inverted U-shaped influence relationship. As the innovation market's inverse demand coefficient and the one-time transaction cost increase at the same time, the degree of differentiation of the enterprise's dual innovation strategy choice gradually reduces; when the one-time transaction cost is the largest, the degree of strategy differentiation is minimized.

Based on the above relationship, suggestions are made to guide enterprises in the knowledge pricing and transaction process in an open innovation environment, promote enterprises to form a dislocation development and complementary advantages in the knowledge innovation ecological chain and improve the overall innovation efficiency of the industry.

Knowledge often is the fundament for strategic competitive advantage. Thus, it is highly relevant to understand better how knowledge is transferred from one generation to the next in family businesses. The purpose of this paper is to link the competitive advantage realisation in family businesses to the success of transferring strategically valuable knowledge in different business environments to the next generation.

Building on the contingency model of family business succession (Royer et al., 2008) knowledge transfer in family businesses from different cultures is investigated in this paper. From a resource-oriented and transaction cost inspired perspective two family businesses with a similar industry background from China and Europe are compared regarding knowledge transfer in the context of family firm succession taking into account the respective transaction atmosphere.

Different successions for two long-lived family firms are illustrated in a systematic fashion: based on the theoretical elements suggested both cases are described to get insights into the usefulness of the theoretical reasoning developed. On the basis of these, the cases are compared with each other and conclusions for both cases are drawn. Implications for theory and practice as well as avenues for future research are sketched.

The focus of the current study is to gain more insight into long-lived family businesses by comparing two cases over a period of more than 200 years with regard to strategically relevant resources as well as the underlying transaction atmospheres. Implications for family firms depending on the resource types and transaction atmosphere are discussed.

Online-to-offline (O2O) knowledge-sharing economy platforms have emerged as a new public channel for matching up knowledge providers with knowledge seekers. It can facilitate offline provision and consumption of high-quality tacit knowledge around a topic upon online search and payment (called offline knowledge service transaction). However, limited research investigated this new knowledge-sharing phenomenon in the field of knowledge management (KM). The purpose of this paper is to enrich KM literature by developing a theoretical model to explore determinants of offline knowledge service transactions via O2O knowledge-sharing economy platforms from both quality and price perspectives.

The model was tested with objective data crawled from Zaihang – a leading O2O knowledge-sharing economy platform in China.

The results show that, in the context of O2O knowledge-sharing economy, transactions of an offline knowledge service are positively related to its provider’s popularity, but negatively related to the price. Moreover, knowledge seekers are more likely to accept and purchase a high-priced service of a knowledge topic with a higher overall review score and supplied by a provider with lower popularity and shorter response time. However, the length of offline knowledge service has no significant association with its transactions.

This study contributes to KM literature through investigating a new phenomenon of tacit knowledge sharing (including provision and consumption) in the context of O2O service and the sharing economy. The results give implications for knowledge providers and platform managers to facilitate online transactions of offline knowledge services.

This paper aims to clarify the impact of information asymmetry on users' payment rates and examine the role of perceived uncertainty (PU) and acceptable price (AP) in the relationship between information asymmetry and users' payment rates.

To test the influences of information asymmetry on users' payment rates, this paper collects 18,489 transaction data from the Chinese knowledge payment platform Zhihu with a Python crawler. This paper constructs a mediation model to define the relationship between information asymmetry and users' payment rates by introducing PU and AP as the mediators.

Information asymmetry negatively affects users' payment rates. In addition, PU and AP mediate the information asymmetry in users' payment rates bond.

This study only explores the mediators of the information asymmetry users’ payment rates bond, ignoring the effect of potential moderators, which would be an important direction for future research.

The findings of this paper suggest that information communication is essential in knowledge market transactions. Knowledge providers, as well as knowledge platforms, should enhance information exchange with consumers in order to increase product sales.

This paper provides a new perspective for understanding how information asymmetry affects users' payment rates and helps to guide suppliers to improve product quality. The research framework of this paper is universal to a certain extent.

This paper is one of the first to propose using PU and AP to construct a mediation model to study the information asymmetry between users' payment rates relationship. It provides a new perspective for understanding the channel of information asymmetry in customer behavior.

The purpose of this paper is to examine the changes in governance structures that evolved as reverse logistics systems were developed. The UK car crash repair sector was used as a case study.

The value‐chain governance framework proposed by Gereffi et al. was used to assess changes in governance systems as firms developed a reverse logistics flow and three transactional variables were used to determine how supply chains are governed and change. Both forward and reverse product flows for two supply chains were assessed to determine what changes in governance of the supply chain took place as reverse logistics operations developed.

The authors' analysis documents how relationships between the focal firm and other supply chain members altered as the new reverse logistic system developed. The modular governance structure that developed through increased supplier capability coupled with higher levels of knowledge and information codifications were shown to be important factors in the establishment of a reverse logistics system. Supplier capability, knowledge codification and transaction complexity were found to be moderating variables which can enrich the traditional models on buyer‐supplier relationships based on trust and ongoing commitment.

Reverse logistics continues to be a major issue for business. Our findings provide an insight into some of the governance and knowledge management developments as focal firms respond to growing pressures to re‐use materials and parts. In total, six factors were identified which can assist firms in assessing their current governance structures and the development of a pathway for implementation of reverse logistics.

Little research has been conducted into supply chain governance structures needed to manage the new reverse logistics systems for the re‐use, recycling and repair of products.

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.

This chapter provides a deep dive into knowledge networks. The authors provide an inclusive definition of a knowledge network. A knowledge network includes nodes as sources and targets of knowledge, relationships as knowledge links, and messages as knowledge transactions and flows. The authors note how knowledge networks differ from other types of networks, specifically their dynamic and chaotic state and continuous transactions. These peculiarities reflect the economic properties and behaviors of knowledge. The elements of networks described in Chapter 2 are elaborated for knowledge networks. The chapter calls out knowledge network domains, geographies, typologies, nodes, messages, and relationships.

The purpose of this paper is to investigate a marketer-sponsored edutainment centre as a consumer socialisation agent by examining effects on preference for the sponsor brands and the degree of socialisation children experience.

Interviews were undertaken with 16 children in their analytical stage of development as well as one of their parents immediately prior, immediately after, and one week following a part-day visit to the heavily branded edutainment centre Kidzania.

Results suggest that children did experience consumer socialisation. There was a movement in brand preferences towards the sponsored brands. The children also demonstrated advances in transaction knowledge. Specifically, significant increases were found in product and brand knowledge, shopping scripts and retail knowledge, with some children moving beyond perceptual and analytical thought and demonstrating reflective thought. In contrast, most children did not demonstrate an analytical level of advertising and persuasion knowledge.

Findings are constrained by the children’s specific experiences and the aptitude of both the children as interviewees and the parents as observers/interpreters. Although delayed measures were used this does not necessarily confirm permanency of the effects.

This is the first study to date to examine a marketer-sponsored edutainment centre as a socialisation agent. Specifically, the study contributes to the understanding of this new, participatory form of marketing communications by demonstrating its value in achieving brand objectives while fostering the consumer socialisation of children.

The purpose of this paper is to develop a typology of people and organizations who transact in knowledge.

Based on structural interviews with 37 managers in three large manufacturing companies a model is proposed which describes the processing of knowledge in organizations.

Four stages are identified: generation, transfer, implementation, and absorption. Similarly, three types of transactors in knowledge are also identified: generators, transformers, and users. The findings from the interviews are the different motives that animate the different transactors in knowledge, and the distinct behavioral roles that these transactors assume in their organizations.

This paper contributes to the literature by proposing a new way of classifying the roles of people and organizations in their transaction in knowledge.