عنوان مقاله [English]
Accurate decision making for selecting contractors in order to manage a project is one of the most important factors of success and enhancing productivity of a project. So, extracting a practical model from the set of factors affecting the selection of contractors can play an important role in improving the project performance, therefore, providing the proposed model is the main objective of this fundamental-applied research. The approach of this research is the integration of the qualitative and quantitative research and the statistical community are the experts of project management. At first, the model structure has been explained by analysis of data collected from the fundamental data theory approach. In the next step to test the conceptual model of research and hypothesis, the method of confirmatory factor analysis and structural equations based on variance was used using partial least squares method and data processing was performed using SMART PLS software. In the last step, to improve and applicability of the model, fuzzy analytic hierarchy technique, the weight of the criteria has been measured and prioritized .Finally, using fuzzy TOPSIS technique, an applied sample of contractor selection has been implemented. The results show that for the efficient selection of a contractor, by using a proposed model based on the determined coefficients and prioritize the sub-criteria of behavioral and technical capability, the company's capabilities and outsourcing goals, the achieving of optimal decision-making conditions is possible.