مطالب

The purpose of study is Identifying the factors affecting the establishment of "quality culture" and effective factors in the quality of virtual education of Farhangian University.The research method was a two-stage combined exploratory exploration. In the qualitative section, using a semi-structured interview technique, 23 academic and thematic experts were interviewed in a purposeful manner from educational and research centers and the research method in the qualitative part is foundational data theorizing, which seeks to create a theory, model and pattern (Sharmaz, 2007: 462),. A descriptive-survey method has been used in the quantitative part. To analyze the data in order to evaluate the fit of the proposed model from confirmatory factor analysis and structural equation modeling technique by using Smart PLS software. In the quantitative part of research, the initial structure of questionnaire which was compiled with 136 items, in the initial study among five quality monitoring and evaluation experts at Farhangian University. The information obtained from the examination the indicators of each of dimensions and indicators of the quality culture using the criteria of the absolute magnitude of the factor loadings, T-statistics and R2, it should be said that all the items have a suitable factor loading (above 0.7) on the related variable. And these factor loadings were significant at 0.05 and 0.01 levels. In other words, the value of t associated with each factor load is greater than its critical value (1.96) at the 0.05 level and (2.58) at the 0.01 level. Then, in the quantitative section, 389 faculty members and non-faculty members were selected by multi-stage cluster sampling and answered the questionnaires. Findings from first and second confirmatory factor analysis showed that culture quality of factors; "Structural / managerial elements"(0.388), "Cultural/ psychological elements" (0.248), "Leadership" (0.500), "Communication" (0.584), "Trust"(0.457), "Commitment"(0.150) and responsibility"(0.528),"Participation"(0.176), "Empowerment"(0.312), "Infrastructure reform"(0.161), "Results of quality culture"(0.458) has been formed and its native model has a suitable structural validity for establishment in Farhangian University. As a result, it can be said that the structural model under study is of good quality and the observed values are well reconstructed and the model has a good predictive ability.

Designing trading systems with good returns is critical for capital market investors. Trading systems are often based on a combination of several tools to use their combined information. For the first time in Iran, the present study aimed to propose a pattern detection algorithm for a flag pattern based on Japanese candlestick charts and their arrangement. By recognizing the pattern and if the 4- and 10-day moving average is confirmed, a shopping position is developed, and the selling time is determined based on an optimized and dynamic process commensurate with price changes and the data scale. Our objective was to address the question of whether the returns resulting from this strategy have a more significant positive return compared to the purchase and maintenance strategy. The research sample included the daily information of 16 active companies of basic metals in Tehran Stock Exchange during 2007-2019, extracted from the database of Novin Rahavard software. Data analysis was performed in MATLAB software, and the obtained experimental evidence was described using t-test. According to the results, the research strategy had a higher performance in terms of returns and risks compared to the market.