محمدرضا عبدلی

The dynamics of corporate information environments are seen as a basis for managerial decision-making such as sustainable tax development, which can reduce agency costs and promote market-level information symmetry across regulatory bodies. The purpose of this research is presenting a Model of Sustainable Tax Development Functions under the Information Environment of Tehran Stock Exchange Companies. In this research-based on qualitative and quantitative methodology, Initially, 13 tax professionals who were also active at the university level, Participated in the Meta-synthesis and the Delphi section to validate the research components and indicators among the 11 approved studies, Delphi analysis used to identify the theoretical adequacy of the component and the set of indices. In the quantitative section, 28 CEO of the stock exchange companies who were selected through an available sampling method selected randomly and used matrix questionnaires to stratify the identified indices in a range of the most influential indices. To the least effective indicators. The results in qualitative Analysis indicate the existence of three main components in the form of the final indicators based on theoretical adequacy and in the quantitative section, it was found that the indicators, greater dynamics of the value of the company based on tax transparency (C1) as an indicator of external information environment functions and increased The level of disclosure of economic performance in line with the GRI standard (C9) and the strategic balance between tax minimization and corporate value (C10) as an indicator of the component of internal information environment functions most strongly as a consequence of sustainable tax development under corporate information environment conditions for stock companies. Tehran Stock Exchange. These results show that the development of sustainable tax functions under corporate information environment conditions can also help to improve the effectiveness of corporate internal operations, regardless of the positive effects on the competitive and market levels.

Investment is seen as one of the most important and influential factors in economic growth and development. It is directly affected by managers' approaches to decision-making because identifying the best investment opportunities to achieve ideal returns is one of the expectations that shareholders and stakeholders have of managers to reduce agency gaps. However, the emergence of managers' overconfident behavior as a foundation for psychological bias can deepen the agency gap due to overestimating project cash flows compared to their real values under inflationary conditions. This study aims to examine the effect of inflation uncertainty on the impact managerial overconfidence has on overinvestment. The statistical population consists of companies listed on the Tehran Stock Exchange (TSE). One hundred five companies were selected as the sample size by systematic removal sampling reviewed in 2011-2018. Due to its dichotomous dependent variable, this study uses probit regression to test the research hypotheses. The results indicated the significant positive effect of CEO overconfidence on overinvestment. It was also noted that inflation uncertainty strengthens the positive effect of CEO overconfidence on overinvestment. Based on these results, the CEO's decisions as a decision-maker in charge of any company, especially under inflationary conditions, can play a substantial role in future corporate investment levels. Thus, with an increase in behavioral bias, it can be assumed that the company will confront grave competitive challenges under economic conditions.

Several financial soundness frameworks, such as CAMELS, are currently present in the banking industry, but some evidence suggests that the present frameworks have inefficiencies in an Islamic banking environment. This study is aimed at identifying and prioritizing the adjusted financial soundness indicators in Iranian banks. In this paper, the factors affecting financial soundness in banking industry were investigated and rated based on the viewpoints of 382 banking experts. Data gathering is done by designing a questionnaire. The research method is descriptive-correlation. For data analysis and the testing of the hypotheses, R-test software and confirmatory factor analysis have been used. TOPSIS method is used to rate the indicators from the points of view of senior banking managers. The findings showed capital adequacy, asset quality, profitability, liquidity, management quality, sensitivity to market risk, Islamic banking, corporate governance, and facilities with technical and economic backing affect the financial soundness of banks, while the liquidity and profitability indexes have the most impact.