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  • 标题:Identifying and explaining the topics in the financial literacy training using fuzzy Delphi approach
  • 本地全文:下载
  • 作者:Fatemeh Kazempour Dizaji ; Mohammadhamed Khanmohammadi ; Mahmood Moeinuddin
  • 期刊名称:Advances in Mathematical Finance and Applications
  • 印刷版ISSN:2538-5569
  • 电子版ISSN:2645-4610
  • 出版年度:2022
  • 卷号:7
  • 期号:3
  • 页码:777-792
  • DOI:10.22034/amfa.2021.1915745.1519
  • 语种:English
  • 出版社:Islamic Azad University of Arak
  • 摘要:The purpose of this qualitative research is to identify and explain the topics in financial literacy training in Iran using an exploratory approach. For this purpose, 20 semi-structured interviews with experts were conducted in the first stage to identify the topics of financial literacy training, and 36 primary categories were identified in the open coding stage using qualitative content analysis. The identified sub-categories were linked in the axial coding stage and categorized into nine axial categories. In the next step, namely selective coding, the identified central categories were systematically categorized into three general chapters. In the second stage, the fuzzy Delphi technique in two phases was used to achieve group consensus between experts and screening the findings of the first stage. At this stage, the most consensus between the experts was reached in 32 topics. Based on the results, all areas of personal finance are covered under three general topics, including income and savings management, risk management, and cost management. The topics extracted in this study can be utilized to design, codify, and implemented financial literacy training programs in Iran.
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