Classification of Contributing Factors to Financial Statements Transparency Using Met analysis and Delphi-Fuzzy

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نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_IJFMA-6-24_006

تاریخ نمایه سازی: 10 آذر 1400

Abstract:

The realization and classification of contributing factors to presenting information in the market is a matter of the utmost importance. The more the transparency and the effect of capital market information on market activity, the more is the effect of capital market on economic growth. This paper aims to realize and classify the contributing factors to financial statement transparency. The statistical population of the project is informant people with financial and non-financial reporting, including financial managers as the suppliers of financial statements, shareholders (opinion leader) as the users of financial statements, auditors’ partners of audit firms, senior managers of firms, and professional academics in this field. Three main steps of the study are as follows: a) determining indices with met analysis approach; b) filtering major contributing indices to financial statement transparency using the Delphi-Fuzzy Method; and c) classifying indices. In terms of objective, this paper is practical which is carried out using the survey method within three synthetic phases along with the exploratory plan. The obtained results of this paper show that the main factors include related information, timely information, the quality of financial reporting quality, the quality of internal control, the presence of appropriate internal controls, aligning with international standards, the quality of independent audit, country development, integrated financial reporting, and faithful presentation of information. Moreover, some factors were not significant for scholars, including firm size, financial leverage, firm liquidity, and masculinity culture, disclosure of related information along with payments to board members and CEO, and economic sanctions.

Keywords:

transparency of financial statement presentation , met analysis , Delphi-Fuzzy

Authors

zeinab aminifard

Department of Economics and Administrative Sciences, Qaenat Branch, Islamic Azad University, Qaenat, Iran.

Mahmoud Mousavi Shiri

Department of Economics and Management, Payamenoor University, Tehran, Iran.

Mahdi Salehi

Department of Economics and Management, Ferdowsi University of Mashhad,, Mashhad, Iran.