Application of the MICMAC Interpretive Structural Technique in Assessing the Quality of Fair Value Accounting Information in Banks

Document Type : Original Research Manuscripts

Authors

1 Department of Management , Central Tehran Branch, Islamic Azad University, Tehran, Iran.

2 Assistant Professor, Department of Management , Central Tehran Branch, Islamic Azad University, Tehran, Iran.

3 Assistant Professor, Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Abstract
The quality of fair value accounting information in banks contributes to the transparency and accuracy of financial information. The purpose of this article is to apply MICMAC's interpretive structural technique to the quality of fair value accounting information in banks. Methodology: The research is practiced and scrutiny. The community is investigating managers and experts in the banking industry, which has been used by the judicial sampling method. First, using the Delphi technique, sieve and evaluate identification components. The following is a modeling using the interpretive structural method. Excel and MICMAC software are used. Results: According to the results obtained in the qualitative analysis, 9 main criteria were identified. The main criteria include flexibility, supervision, laws and regulations, organizational conditions, knowledge and education, government agents, need assessment, economic growth and transparency of performance. These 9 main criteria are the need for strengthening as well as an important factor in the use of fair value accounting in banks. Also, based on the interpretive structural model, a hierarchical model is formed. Fair valuation accounting conclusions allow banks to manage their financial resources more effectively. Fair valuation assures bank managers that assets and debts are properly evaluated and that they can do more economic activities through the optimal use of these resources.

Keywords

Subjects

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Volume 4, Issue 4 - Serial Number 12
Autumn 2024
Pages 146-162

  • Receive Date 27 April 2024
  • Revise Date 16 May 2024
  • Accept Date 20 June 2024