درخت حوزه‌های تخصصی

High transaction costs have been cited as limiting access to credit in developing countries. This issue is much more critical for knowledge-based companies due to their position in accelerating economic growth and the particular characteristics of these companies. Therefore, this research aims to evaluate the transaction cost of financing knowledge-based companies from an official fund in Iran that provides financial support for innovations and technologies. The data was collected through interviews and questionnaires in a sampling of knowledge-based companies in 2022. In this study, after calculating the transaction costs of financing, the effect of the factors affecting it has been investigated. The investigated sample was 123 companies from the fund's customers. The results showed that, on average, the ratio of transaction cost to the facility, transaction cost rate, total cost rate (transaction cost and interest rate), and the ratio of transaction cost to interest rate are equal to 3.33, 7.04, 15.66, and 0.81, respectively. Based on the results, the facility amount, the number of payment steps, the distance between the request for the facility and the contract, the interest rate, and dummy variables for the type of facility have a positive and significant effect on the transaction cost

The Competitive Industrial Performance Index (CIP) measures a country's ability to produce, add value, export, and impact global trade through manufacturing industries. To improve industrial competitiveness, focus must be given to expanding production and enhancing its quality with technological advancements. Developing countries need to build technological capacity, increase production, and invest in infrastructure to upgrade their industrial competitiveness. However, Iran's Competitive Industrial Performance has fallen behind, lacking a favorable position in the region and the world. The annual reports of the UNIDO analyzing data from 1990 to 2020 shows that Iran's performance has been weak compared to similar economies. The gap between Iran and the global benchmark (Germany with a score of 0.416) and the regional benchmark (Turkey with a score of 0.117) has widened over the past three decades. Additionally, Iran's manufacturing industry production and export structures have experienced two different directions of transformation in the past two decades. From 2000 to 2010, concurrent with the Third and Fourth Development Plans, the Manufacturing Value Added share in total GDP (MVAsh) increased from 9% to 14%, and the Medium- and High-tech manufacturing Value-Added share (MHVASH) in total manufacturing value added increased from 41% to 45%. However, during the years 2010 to 2020, concurrent with the Fifth and Sixth Development Plans, both of these mentioned indicators regressed. Notably, the regression in the level of technology for high-tech products, from 0.9% to 0.5%, is continuously declining and poses a fundamental challenge for Iran's industrial competitiveness.

Today, budgets are considered by many as a powerful tool to conduct and control an organization's internal and external affairs. Budget, budgeting, and budgetary controls are the priority of every manufacturing and service entity. Top management in organizations uses budgets to monitor and control the financial and nonfinancial activities that occur within their organization. The current research method is empirical, which tests the feasibility of a solution using empirical evidence based on statistical applications. The study considered SENSEX 30 companies listed on the Bombay Stock Exchange. The statistical population comprised five top-level managers categories, including 150 respondents, eight mid-level managers, 240 respondents, and 12 lower-level supervisory cadres of 360 respondents. The total population is 750 respondents. "Simple Random Sampling Technique" used in the current study. Primary Data was collected using an Interview Schedule developed explicitly for the purpose and finalized after conducting the pilot survey. The collected primary data are validated, tabulated, and classified. Secondary data were collected from published articles, the Companies Act, the Accounting Standards Manual published by the Institute of Chartered Accountants of India, Websites, journals, and other validated material. The companies' annual reports were a significant secondary data source. Data analysis uses Statistical Package for Social Sciences (SPSS), and interpretations are made based on statistical tools. The results of the research indicated that most Indian companies set budgeting systems in accordance with accounting standards. The results of the current study also show some significant factors that need to be considered by the organization while setting budgets.

The forward-looking information disclosure presents the information that enables the beneficiaries to evaluate a company's future that might involve financial forecasts and uncertainty. This affects the company's performance and decreases the stock return volatility. The present research aims at integrated modeling of the causes and consequences of forward-looking information disclosure. This study is an applied descriptive correlational research. The sample included 93 companies listed on the Tehran stock exchange from 2013 to 2019. The impact of all the causes of forward-looking information disclosure and its consequences was extracted by applying the structural equation modeling method. The consequences include capital cost and informational asymmetry, and the causes of forward-looking information disclosure include macroeconomic features, financial performance, ownership structure, board characteristics, structural properties, and audit. In short, according to the obtained results, the forward-looking information disclosure significantly positively affects the capital cost. On the contrary, it has no significant influence on informational asymmetry. Further, the results of testing the model revealed that the variables of ownership structure and financial performance positively influence forward-looking information disclosure. In addition, the impact of macroeconomic characteristics is negative, and there is no relationship between the forward-looking information disclosure with the audit, structural features, and the board's characteristics