Collaborative Knowledge Innovation Research Articles

Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network

Low-carbon technological innovation is the main means to develop a low-carbon economy, and network knowledge sharing and collaborative innovation is an effective model for the development of low-carbon technologies. First of all, this article adopts a decision-making experiment and evaluation laboratory method and interpretation structure model, combines the two methods, extracts the advantages of the two, and discards the shortcomings of the two, thus constructing a new optimized and upgraded interpretation structure model. We give methods to explore the main influencing factors of collaborative innovation of low-carbon technologies for online knowledge sharing. Based on the industrial network knowledge sharing and cooperation network environment, the network evolution game model of network knowledge sharing knowledge collaboration is constructed to study the rewards and punishments, the profit distribution rate, the knowledge potential difference, and the parameter pairing of the network knowledge sharing cooperation network structure in the process of network knowledge sharing and collaborative knowledge innovation. The influence of the network knowledge sharing cooperation strategy is obtained through simulation to change the size of the relevant parameters so that the network knowledge sharing cooperation agent chooses the network evolution game of the sharing strategy to realize the optimal evolutionary stable strategy. According to the simulation results, this article proposes suggestions from the following aspects, aiming to improve the overall knowledge synergy effect of the network knowledge sharing and cooperation network.

The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence

ABSTRACT With the constant change of enterprise environment, the limitation of the traditional knowledge innovation management based on technology is increasingly apparent. This paper firstly analyses the mode, influence, and necessity of collaborative knowledge innovation management under the background of artificial intelligence. Secondly, the configuration strategy of collaborative knowledge innovation management is constructed. Then, greedy algorithm is used to allocate resources quickly, and these allocation schemes are locally optimal under the constructed optimal metric. Finally, the genetic algorithm is used to optimise the resource structure of the initial allocation combination globally to improve the optimisation degree of the structure as a whole. Through the optimal allocation of resources, enterprises can develop into highly efficient organisations with strong cohesion, continuous development, and self-management, and form collective creativity of enterprises, which can better adapt to the complex and rapidly changing management environment in the new era.

The Performance of Knowledge Collaboration in Virtual Teams: An Empirical Study

Knowledge collaboration is an effective management method to promote the appreciations of intellectual capital and social capital. In a virtual team, team atmosphere, team network and the individual attributes, etc. shall affect the performance of knowledge collaboration (KC) in different degrees. The paper will build the theoretical framework that affects the performance of virtual team's knowledge collaboration, and use the Bootstrap-based structural equation model to perform empirical study on the theoretical framework. Empirical results show that network characteristics of virtual team, team attributes, individual attributes and collaborative efficiency all have significant impact on the performance of KC. Empirical conclusions will provide a theoretical basis and practical reference for promoting the performance of knowledge collaboration. With the rapid development and extensive application of information and communication technology, the virtual team collaborated across time, space and organizational boundary has become an important organizational structure for enterprises to cope with the increasingly accelerated market change. The virtual team, with advantages such as including diverse staff, broad organizational boundaries, flexible organizational structure and innovation resources allocation, etc., has been widely adopted in many fields including service outsourcing, IT and innovation research and development, etc. The previous research has shown that a virtual team is an effective model to settle the complex task on wide-scope and cross-disciplinary knowledge demand within the organization (1). Therefore, how to effectively improve the performance of virtual team has been a focused issue in the business and the academic circles. From the perspective of knowledge management, the virtual team is essentially the use of Heterogeneous subjects for collaborative knowledge innovation. In addition to compensate for the knowledge gaps to effectively solve the problem of knowledge scenario embedding and path dependence, the knowledge collaboration model also can obtain collaborative effects of multi-subject, multi-target and multi- tasks. However, because of staff diversity, and the use of electronic information technology as the primary means of communication, lacking of face to face communication, the knowledge collaboration and performance of a team is facing many problems. Therefore, in terms of the characteristics of virtual teams, it is necessary to study how to further enhance the collaborative efficiency of the virtual team and improve the performance of knowledge collaboration by integrating the collaborative innovation resources. On the basis of defining the performance of knowledge collaboration and collaborative efficiency, and taking Chinese service outsourcing enterprises team as research objects, this paper performs empirical analysis on the critical factors influencing the performance of the virtual team's

On the Effects of Collaborative Knowledge Innovation on Supply Chain Performance

During the age of supply chain competition, one of the problems that the enterprises should cope with is to effectively improve the performance through collaborative knowledge innovation in supply chain. This paper builds a knowledge innovation model between a vendor and a manufacturer in the two-stage supply chain. And then we make a quantitative analysis of the model by the game theory and optimum theory, it is found that: (1)The stronger the manufacturer's innovation ability, the more it can attract the vendors involvement in innovation, and when its innovation cost increases, its enthusiasm for participating in knowledge innovation will be weakened; (2) The variation coefficient of marginal cost plays a positive role in promoting innovation level and performance, however, if the innovation cost coefficient is too high, the innovation level may decrease; (3)Not only can collaborative knowledge innovation in supply chain improve the performances of both the vendor and the manufacturer, but also can improve that of the overall supply chain.

Model of Collaborative Knowledge Innovation with Distributor Participation in Supply Chain

Considering the influence of distributor participation, collaborative knowledge innovation is studied by building the game model from the decision-making viewpoint of manufacturer. Changes of market demand due to the collaborative innovation and the behaviors of participators are also analyzed. The results show that distributor participation can spur manufacturer to increase product innovation investment and be available to realize the higher level of innovation, and that the degree of distributor participation is not only affected by its own cost of the collaborative innovation, but also the investment of manufacturer. Furthermore, the research gets the boundary condition of different decision selection for manufacturer and its distributor.