A Decision Support System for Analyzing the Affecting Drivers on the Future of Project-based Organizations in the financial services industry with Fuzzy Approach

The financial services industry and the quality of services provided play an important role in improving the performance of businesses. Due to the temporary and diverse nature of financial industry services and financial technology, project-based organizations will be an important part of this industry in the future. Therefore,the present study seeks to provide a decision-support system for identifying important drivers that affect the future of project-based organizations in the industry.

The current research is applied in terms of orientation and exploratory in terms of purpose. This study is also a survey research in terms of data collection. To present the research decision-support system, two quantitative methods of fuzzy Delphi and best-worst fuzzy and a qualitative tool called root definitions have been used. Finally, the tool of root definitions, research solutions tailored to each driver are developed.

15drivers were extracted through literature review and interviews with experts. In the next step,9factors were excluded with fuzzy Delphi. The remaining 6 factors were prioritized by the best-worst fuzzy method. The three drivers of international financial constraints, the intensity of competition, and the nature of business models in the financial services industry. The three drivers of international financial constraints, the intensity of competition, and the nature of business models had the highest priority in the financial services industry.

using the tool of root definitions and its components including customers, actors, problem owner, transformation process, environment and stakeholder worldview, the system related to main drives was described and the desired solution was presented