Proposing a Novel Approach for the Selection of R&D Team Manager Using Revised Simos and ARAS Interval Method (Case Study: Kayson Company)

Abstract

R & D is one of the most important departments in organizations and selecting the most appropriate candidate as the team manager, can have a significant impact on its success. Despite these necessities, there has not been developed a structured framework to help identify appropriate criteria to select the R&D team manager yet. Nevertheless, this study aims to introduce a new combined approach for selection of R&D team managers. For this purpose, the required criteria are obtained from existing competency models. Afterwards, due to the variety of identified criteria and this fact that the weight of each criterion is different from the experts’ point of view, a combination of multi-attribute decision-making (MADM) methods has been used. Therefore, for the weighting of the criteria, the revised SIMOS method and for the selecting of the most appropriate candidate as the team manager, ARAS interval method was used respectively. The framework proposed in this study was used to select the most appropriate candidate for R&D project manager in Keyson Company. According to the results, the most important criteria in the selection of the managers are the individual skills (especially selecting and assigning personnel, allocating resources and having systematic viewpoints).

Keywords

• ARAS interval method
• Competency model
• MADM
• R&D manager selection
• Revised Simos method