Structural Factors

This study investigates the effect of intra-organizational and macroeconomic factors on banking leverage in selected Iranian banks. For this purpose, after calculation of the Banking Leverage for each bank, by using Random-Coefficients Approach (Swamy model), the impact of explanatory variables during the period of 1999-2016 was examined separately by 10 selected Iranian public and private banks. Based on calculations, Melli, Saderat, Refah, and Tejarat Bank had the highest and Sanat-va-Madan, Eghtesad-Novin, and Sepah had the lowest level of banking leverage. Furthermore; the results of estimations show that "organizational" and "structural-variables" of each bank have different effects on their banking leverage. For example, "credit risk" has a positive and significant effect on bank leverage in "Tejarat", "Saderat", "Refah" and "Sanat-va-Madan" banks. The effect of "liquidity risk" is the same as "credit risk". In general, due to banks' dissimilar structures, organizational and structural variables hold a varying impact on their banking leverage.

The purpose of the present study was to identify barriers to implementing innovation in sports clubs during the COVID-19 pandemic. The research approach was mixed. In the qualitative part, interviews with 13 owners of sports clubs were conducted. The statistical sample in the quantitative part, based on Structural Equation Modeling (SEM), included 200 sports club owners in Chaharmahal and Bakhtiari, Iran. The results showed that barriers to implementing innovation in sports clubs were individual, structural, and environmental obstacles. Considering the entrepreneurial ecosystem and all stakeholders involved in the sports community, providing favorable conditions such as intellectual property protection, financial support, research, and development support, as well as improving access to financial capital, can pave the way for the creation and implementation of sports innovations in clubs, especially in crises. 

The purpose of this research was to identify and prioritize effective factors in social responsibility of professors of Islamic Azad University of Qazvin branch which was conducted in 2014 and 2015. Among all statistical population which included 395 professors of the university, 195 professors were selected as statistical subjects from the population. In this research, it was attempted that by using written sources, views of experts, field investigation, and also interview with experts, a questionnaire be designed to identify the said factors. The instrument used for collecting information was the questionnaire. To determine formal and content validity of the questionnaire (the proposed indexes), content validity was used, and in order to determine reliability factor, Cronbach's Alpha method was used for 5-Choice questionnaire of Likert. Then required data of the research were collected and by using statistical descriptive and inferential techniques, date analysis was conducted by SPSS software. Results indicated that structural dimension has the highest effect on accepting social responsibility among behavioral, structural, and contextual dimensions.