DESIGNING A MODEL FOR MAKING DECISION ABOUT OUTSOURCING ACTIVITIES IN BANKING SYSTEM

Abstract

Despite the growing trend of outsourcing of financial services in recent decades, most outsourcing projects have failed due to the qualitative nature of decision-making criteria and lack of paying attention to differences in environmental conditions. The aim of this research is to design a model for decision making about outsourcing activities in the public banks. This research is applied and developmental study in terms of objective and descriptive-survey in terms of data collection method. The research tool was interview in qualitative section and a questionnaire in quantitative section. The research population included banking experts in 6 public banks and central bank. After studying the theoretical foundations and exploratory interviews, the initial model was identified. Then, the final model of the research was identified with 6 factors and 22 sub-factors using the fuzzy Delphi method. Fuzzy DEMATEL and fuzzy ANP methods were used to examine the relationship between criteria and weighting the factors. Finally, "logistics and support sector activities" option with the highest weight was rank first and selected for outsourcing using gray and fuzzy MOORA methods. Moreover, the activity of the "human resources” sector was ranked second and the "legal and claims receivable sector activities" option was ranked last.
 Keywords: Decision-making, outsourcing activity, banking system