Sustainability in the Business Sector: A Fuzzy Multicriteria Decision Making Model for Financial Leasing Company Selection of the Vietnamese SMEs
The uses and management of capital is extremely important to the operation of any businesses. However, not all businesses have available capital, so the use of loans in many different forms is always an effective solution in managing corporate finance. Accompanying with businesses, many financial le...
Lưu vào:
| Tác giả chính: | |
|---|---|
| Định dạng: | text::journal::journal article |
| Ngôn ngữ: | en_US |
| Thông tin xuất bản: |
2022
|
| Chủ đề: | |
| Truy cập trực tuyến: | http://repository.vlu.edu.vn:443/handle/123456789/802 |
| Từ khóa: |
Thêm từ khóa bạn đọc
Không có từ khóa, Hãy là người đầu tiên gắn từ khóa cho biểu ghi này!
|
| Tóm tắt: | The uses and management of capital is extremely important to the operation of any businesses. However, not all businesses
have available capital, so the use of loans in many different forms is always an effective solution in managing corporate finance.
Accompanying with businesses, many financial leasing companies have implemented products and programs to lend money
to businesses with low interest rates. So, choosing the best financial leasing company is a primary concern of businesses.
To increase competitiveness, financial leasing companies often offer preferential conditions to attract businesses. Choosing
the best financial leasing service to leasing is important and necessary to those businesses. Thus, the selection of a financial
leasing company by small and medium enterprises benefits from the application of Multicriteria Decision-Making (MCDM)
methods which allows the decision maker to consider various qualitative and quantitative criteria. In this article, the author
applied Fuzzy Analytical Network Process (FANP) to calculate the related criteria weights of the financial leasing company
selection problem of businesses. Then, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is
applied to rank the potential decision-making units. This research establishes one complete and efficient model for financial
leasing company selection using FANP and TOPSIS methods. The proposed model is then applied into a real-world case study
to demonstrate its feasibility. |
|---|