وحيدرضا سلامت

As firms face increasing environmental uncertainties due to rapid technological change, evolution in market demand and increased competition pressure, inter-organizational relationships networks can be considered as a key solution for gaining competitive advantage and maintaining the organization's survival. For this purpose, in this research, the development of a framework for formation of a portfolio of inter-organizational relationships based on theories of inter-organizational relationships has been considered. In this regard, in order to assess the existing theories, fifteen case studies were examined from the perspective of theories and the results showed that none of the two theories of resource-based view and transaction-cost theory - the two dominant theories-can not justify all aspects of related phenomena alone; an‎d attention to both theories is needed to justify the phenomena associated with inter-organizational relationships. Therefore, the development of the framework for formation of portfolio of inter-organizational relationsips continued based on the use of a combination of two theories, resource-based view and transaction costs theory. In the first phase, a model for relationships design in the inter-organizational relationships portfolio was introduced in order to strengthen the co-operation between the portfolio members in existing businesses based on two theories of resource-based view and transaction-cost theory. In this model, Total Interpretative Structural Modeling (TISM), Fuzzy Cognitive Maps (FCM), and Portfolio Impact Diagram (PID) were used to develop the model. In the second phase, the development of the relationships portfolio in the new business was considered and a model for selection of the portfolio members was presented, based on the combination of two theories of resource-based view and transaction-cost theory. In this model, combination of multi-objective linear programming (MODM) and AHP were used for modeling. Also, the "Robust Fuzzy Possibilistic AHP Approach" tool was developed to manage the uncertainties in the model, using a Robust Programming approach and interval AHP formulation. Proposed models for the two phase of the problem, were developed and implemented in the context of a case study and validated using member checking technique. Validation results indicated the applicability, effectiveness, and superiority of proposed models to alternative approaches.