درخت حوزه‌های تخصصی

The present study was performed to investigate the effect of commercial and operational factors on competitiveness improvement of Shahid Beheshti Port (SBP) in Chabahar in attracting shipping lines. The research method is applied in terms of purpose. Initially, the researcher conducted the qualitative phase to identify important variables, create a typology, or make new theories. To reach the saturation stage, 15 people were interviewed. Then, after identifying emerging classifications using qualitative data, a questionnaire was developed through the Delphi technique, and thus, the quantitative phase began. To test its items, patterning of the structural equation model was used via Lisrel software. Findings showed that commercial factors affecting SBP competitiveness improvement included financial capital and customer capital, port costs and tax burden, market efficiency and market performance. In addition, technical-developmental infrastructures, technological infrastructures, warehousing activities, loading and unloading operations, customs activities and services, communication and distribution networks, trust and safety in port activities, and port logistics features were the operational factors affecting this competitiveness. It was discovered that existence of abundant capacities and potentials in various transportation departments of SBP, quantitative and qualitative increase of equipment, as well as the development of new capacities in infrastructure and fleet of railways, roads, offshore and port loading/unloading equipment have relatively improved levels of loading/unloading in SBP, which can be attributed to successful execution of measures taken to develop competitiveness in SBP.

The purpose of this study was to investigate the role of non-financial information analysis and risk-return analysis along with financial information in increasing the selected banks and financial institutions of Tehran Stock Exchange portfolio efficiency. To evaluate the efficiency of the portfolio, the Treynor's ratio was used and attempted to determine the Treynor's ratio of the selected optimal portfolio based on each accounting and financial information, non-financial information and risk-return analysis, and then the significant differences between the ratios were compared. also, intellectual capital, agency theory and management ability data were used as non-financial information. The 9 optimized Portfolio that were selected by any one or more of the data from financial, non-financial, and risk-return analysis and calculated Treynor's ratio for each select were used. To achieve the goal of the research, 19 banks and financial institution of Tehran stock exchange were selected as sample and analyzed. The results showed that the use of non-financial and risk-return analysis information will increase the calculated efficiency of banks portfolio using the Treynor's ratio. All of hypotheses were approved, this means that there is significant difference between mean Treynor's ratio of stock combination based on risk-return information and accounting information, agency theory, management ability and accounting information and intellectual capital.