A knowledge sharing approach for R&D project team formation

Abstract

Purpose This paper intends to propose an approach for formation of the R&D project teams, so that in addition to the selection of the most expert individuals, facilitates the knowledge sharing among people. Design/methodology/approach Mathematical modeling was used to formulate the problem of selecting appropriate members for the project team. As the problem was formulated as a bi-objective mixed integer nonlinear programming problem, it was initially transformed from nonlinear to linear problem, and then, the global criterion method was applied to convert the problem into a single-objective problem. To collect the data for exogenous variables, the measurement scales (their validity had been verified in previous research) were adopted. Findings The results of various tests for evaluating the proposed approach in the case study confirmed its effectiveness in selecting the appropriate members of the project team. Practical implications Using the proposed approach, R&D project managers will be able to select the most appropriate members for the project team and, while ensuring the achievement of project objectives, prevent the loss of knowledge gained in the project lifecycle. Originality/value This paper is the first attempt to provide an approach for sharing the knowledge gained by the project team members in the R&D projects.