Knowledge sharing in a master-apprentice pattern is the process of transferring tacit knowledge from masters to apprentices. In addition, 90 per cent of knowledge required for organizational innovation is tacit knowledge in the master-apprentice pattern. The purpose of this paper is to analyze the evolution of knowledge sharing in master-apprentice pattern and explore the consequences of how to improve the knowledge sharing in the master-apprentice pattern.Design/methodology/approachThis paper uses asymmetric evolutionary game theory to study the evolutionary track of knowledge sharing in master-apprentice pattern of innovative organizations by analyzing the utility of masters and apprentices during the process of knowledge sharing in master-apprentice pattern of the innovative organization.FindingsThe results reveal that when the masters obtained utility from sharing knowledge is greater than that from hoarding knowledge, and the apprentices obtained utility from studying hard is greater than the costs, the innovative organization can get the largest utility from the knowledge sharing in the mater-apprentice pattern.Research limitations/implicationsThe limitation of the research is that this paper mainly studies knowledge sharing among individuals and does not research knowledge sharing between individuals and organizations.Practical implicationsThis research has extended the understanding of knowledge sharing in master-apprentice and its evolution path. Also, the obtained findings are conducive to promoting knowledge sharing in master-apprentice and improving human resource management in innovative organizations.Originality/valueThis paper attempts to construct the evolution path of knowledge sharing in master-apprentice pattern, which is a useful exploration of the dynamics of knowledge sharing in master-apprentice pattern and makes up for the shortcomings of the existing research.
International Journal of Innovation Science – Emerald Publishing
Published: Oct 4, 2019
Keywords: Knowledge sharing; Asymmetric evolutionary game; Innovative organizations; Master-apprentice pattern; Replicator dynamics