زهرا شیرازیان

To achieve sustainable success and enhance performance, organizations require a committed workforce with a strong sense of pride and organizational identity. This study aims to identify influential factors and design a model for fostering organizational pride, thereby offering strategies to strengthen organizational identity and increase employee pride. The study employed the fuzzy analytic network process (ANP) method to analyze influential factors and prioritize them. This method considers diverse perspectives, enabling the identification of key indicators and the development of effective strategies for enhancing organizational pride. The statistical population comprised 56 experts in public management, selected through purposive sampling. The criteria included a minimum of five years of experience in public management, familiarity with the concepts of fostering organizational pride, holding at least a bachelor’s degree, and occupying mid-level or higher managerial positions (supervisor, manager, or senior manager). Data collection was field-based, utilizing MATLAB software for analysis. The results highlight the critical role of addressing emotional dimensions and the expression of employees' feelings toward the organization in the success of strategies aimed at strengthening identity and organizational pride. Managers can enhance employee motivation and commitment by focusing on these aspects, ultimately improving organizational productivity. The analysis identified the "nonverbal-emotional expression" indicator (A3), representing how employees convey emotions and feelings toward the organization, as the most influential factor. This indicator was closest to the ideal positive solution, establishing it as the most critical factor in fostering organizational pride.

The purpose of this research was to present a digital marketing model in the field of remote medical and rehabilitation services based on the technology acceptance model. The current research method is based on a qualitative approach to the foundational data method (Strauss and Corbin's systematic model), which was conducted in the field in terms of the fundamental purpose and in terms of data collection. The statistical population of this research includes experts who are familiar with the dimensions and components and criteria of organizational whistleblowing, which includes experts in the field of management and medical sciences, who were selected by purposeful or theoretical sampling (16 people). The qualitative approach of grounded theory was used for open, central and selective coding in data analysis and open coding was done by analyzing the interviews. Based on the identified open codes, the central codes were formed and the theoretical model was developed with the help of selective coding, then the paradigm model was approved by the opinion of experts. The digital marketing model in the field of remote medical and rehabilitation services based on the technology acceptance model, influenced by causal conditions (organizational culture, human resources, educational and attitudinal level) and taking into account extractive strategies (educational, planning, monitoring and evaluation and Digital marketing) which is affected by background conditions (organizational structure, laws and regulations and infrastructure and facilities) and intervening conditions (economic, political, medical/legal and marketing), can lead to positive outcomes.

The purpose of this study is to investigate the clustering of fluctuations and its asymmetry in Tehran Stock Exchange. Large changes in prices tend to be large changes and small changes tend to be small changes that are called clustering of fluctuations. On the other hand, higher volatility fluctuations, They tend to form more clusters than small fluctuations, which are referred to as clustering oscillations of oscillations. The volatility of return on assets can directly affect the price of transaction options and the risk of stocks and portfolios. This research is a practical and quantitative research. The statistical society of the time series of the index of Tehran Stock Exchange and the sample used in the time series of return on the total index in the period from the beginning of 2008 to August 2012 is. The index values are extracted from the new rational software and then the logarithmic yield is calculated and analyzed with the Eviews software. Based on the Box and Jenkins approach, the mean ARMA equation was obtained and ARCH test confirmed the existence of clustering fluctuations. The TGARCH model showed asymmetry in volatility and leverage effect. According to the AKIC statistic, the best GARCH model was used for extraction of fluctuations, ETGARCH was introduced.

The present study investigates the role of the mediator of the biographical characteristics of investors on the relationship between political rumors and their perceptual error by modeling structural equations. The present study was conducted in terms of the method of correlation research in terms of the purpose of an applied research and in terms of data collection method, a quantitative study. The statistical population of the study was investors of Tehran Stock Exchange with unlimited number and the sample was estimated using Morgan and Kargzi tables with a simple random sampling of 384 people. The tool for measuring political rumors, the 9 questionnaire of Khademi Grashi and Ghazizadeh (2007) and the instrument for measuring perceived error in the questionnaire of Saadi 24 et al. (2010). The results of structural equations showed that political rumors affected the perceived errors of investors in Tehran Stock Exchange. Also, the dimensions of political rumors, including statements by political officials, political developments inside the country and foreign political developments, increased the level of perceptual error of investors. Also, biographical characteristics of investors influenced the relationship between political rumors and its dimensions with perceptual errors of Tehran Stock Exchange investors.

Research shows that identity and brand resilience affect the mental conflicts of customers and organizations can plan long-term benefits by planning. A leading study was conducted to investigate the effect of identity and brand resilience on customer brand affairs of Irankhodro Company's dealers in Hamedan city. This research was a practical, quantitative, and cross-sectional study. The statistical population of this research was customers of Irankhodro Company's dealerships in Hamedan city. A sample of 384 members was selected randomly and without placement. The data collection tool was a standard questionnaire whose validity and reliability were verified and confirmed The content validity method was used to evaluate the validity and reliability of the Cronbach Alpha method was used. In order to analyze the data, structural equations based on partial least squares were used and implemented with Smart Pilar software. The findings show that identity and brand resonance and their components have a significant effect on consumer brand involvement, with the exception of active participation component.

Herding behavior among security analysts is described as similar behavior by analysts when forecasting main finance ratios of public companies and when giving investment recommendations. This type of behavior can be divided into two categories based on the different driving forces behind the analysts’ herding behavior.. For instance, if one analyst lacks the ability to research and provide recommendations, he or she  may follow, or even copy, a famous analyst’s reports. Such  action will result in herding behaviorIn this  paper, we  build  undirected weighted networks to study herding behavior among analysts and  to analyze the characteristics and  the  structure of these networks. We then construct a new  indicator based on the  average degree of nodes and the  average weighted clustering coefficient to research the various types of herding behavior. Our findings suggest  that every industry has, to a certain degree, herding behavior among analysts. Furthermore, we relate the  two  types of herding behavior to stock  price  and find that uninformed herding behavior has a positive effect  on market prices, whereas informed herding behavior has a negative effect.

The most important microeconomic theory and theories of modern finance is that the value of the investment, increase profitability, rationality and perfect information, lies. But recent research shows that the value of investment in various aspects and influenced by various factors, including the role of financial inclusion and literacy. Leading financial inclusion and financial literacy study to evaluate the impact on the perceived value of investing in the stock market took place. This is a usability study of its kind, was a cross-sectional survey was conducted. The population of Hamedan an unlimited number of active investors in the stock exchange were estimated from a sample of 384 members was selected randomly and without replacement. Data collection instrument was a questionnaire and field data collection. In order to analyze the data structure based on partial least squares path modeling was used. The results showed that inclusion and financial literacy and Mvlfhhayshan significant impact on the perceived value of the investor's investment. As well as evidence of a direct and positive impact on the inclusion of financial literacy and financial parameters were observed.

In this article investigate the herd behavior of stock prices inTehran stock exchange with the Heston model. Basing on parameter estimation of the Heston model obtained by minimizing the mean square deviation between the theoretical and empirical return distributions, we simulate mean residence time of positive return.Plots of mean residence time of positive return against the amplitude or mean reversion of volatility demonstrate a phenomenon of herd behavior for a positive cross correlation between noise sources of the Heston model. Also, for a negative cross correlation, a phenomenon of herd behavior is observed in plots of mean residence time of positive return (MRTPR) against the long-run variance by increasing amplitude or mean reversion of volatility. From the simulating results of MRTPR, we observe that (i) when MRTPR is regarded as a function of the amplitude of volatility fluctuation c, there is a phenomenon of the herd behavior for a positive cross correlation between two Wiener processes of stock price and volatility (i.e., λ > 0); (ii) when MRTPR is regarded as a function of mean reversion a, there is a phenomenon of the herd behavior for our considered values of b and c under λ > 0; (iii) increasing a or c induces a phenomenon of the herd behavior under λ < 0 when MRTPR is regarded as a function of mean reversion b.

The purpose of this study is to investigate the clustering of fluctuations in financial markets, including the stock market, with the underlying model of simulation. Time series of financial asset returns show the clustering of volatility, which shows that large changes in prices tend to form clusters together And these clusters will last for a long time. Time series of financial asset returns often exhibit the volatility clustering property: large changes in prices tend to cluster together, resulting in persistence of the amplitudes of price changes. After recalling various methods for quantifying and modeling this phenomenon, we discuss several economic mechanisms which have been proposed to explain the origin of this volatility clustering in terms of behavior of market participants and the news arrival process. A common feature of these models seems to be a switching between low and high activity regimes with heavy-tailed durations of regimes. Finally, we discuss a simple agent-based model which links such variations in market activity to threshold behavior of market participants and suggests a link between volatility clustering and investor inertia.

The most important microeconomic theory and theories of modern finance is that the value of the investment, to increase its profitability, rationality and perfect information, lies. But recent research shows that the value of the investment aspects and influenced by various factors, including the role of financial advisor. This study aimed to investigate the role of the financial advisor in the perceived value of investment necessary competencies investors Stock Exchange of Hamadan. This kind of study is one of few studies, surveys, applied and quantitative and cross-sectional. The study population active investors in the Stock Exchange of Hamedan have been an infinite number randomly and without replacement sample of 387 members selected from among them. Data collection instrument was a questionnaire and field data collection. In order to analyze the data structure based on partial least squares path modeling methods were used. The results showed that the competencies necessary financial advisor significant impact on the perceived value of investments of investors. As well as direct evidence of a positive impact and ethical competencies, technical and financial advisor on the perceived value of the investment was emotional.

The purpose of this research is to study the role of financial literacy and money management on personal financial management of Tehran Stock Exchange investors. This research, in terms of type, is a descriptive survey and is a quantitative and applied research that has been implemented cross-sectionally. The statistical population of this study was investors in the Tehran Stock Exchange. The Morgan table used 384 people as sample by simple random sampling method. The data gathering tool was a standard questionnaire for financial literacy, money management and personal finance management. Validity of the questionnaires was assessed through factor validity and their reliability through Cronbach's alpha. Data were analyzed using partial least squares and Smart Pialas software. The findings of this study confirm the significant effect of financial literacy and money management and their components on personal financial management of Tehran Stock Exchange investors. The evidence did not show any indirect effect.

The purpose of this study is to investigate the clustering of fluctuations in financial markets, including the stock market, with the underlying model of simulation.Time series of financial asset returns show the clustering of volatility, which shows that large changes in prices tend to form clusters together And these clusters will last for a long time. Time series of financial asset returns often exhibit the volatility clustering property: large changes in prices tend to cluster together, resulting in persistence of the amplitudes of price changes. After recalling various methods for quantifying and modeling this phenomenon, we discuss several economic mechanisms which have been proposed to explain the origin of this volatility clustering in terms of behavior of market participants and the news arrival process. A common feature of these models seems to be a switching between low and high activity regimes with heavy-tailed durations of regimes. Finally, we discuss a simple agent-based model which links such variations in market activity to threshold behavior of market participants and suggests a link between volatility clustering and investor inertia.

The present study aimed to investigate the Effect of Job Characteristics's Role in Employee Career Growth and Career Adapt-Abilities. This research is a descriptive cross-sectional survey was conducted quantitative and functional. The population of the province where the Social Security Administration branch staff to 350 people. Stratified random sampling based on the number of employees in each city sample consisted of 185 individuals was selected from among them. Data required for this study were collected using a standard questionnaire that its validity and reliability were reviewed and approved. In order to analyze the data path and structural modeling software was used Smart PLS. But among the components of job characteristics, career path and impact on the growth component of the feedback the result it was found matching capabilities. It was also found that the ability to adapt to a career path and its components, direct and significant impact on growth career path.

The objective of the present research is investigation of the effect of the perceived transparency of performance, bank organizational reputation and brand experience on customer delight. Performance transparency customers delight, timely responsiveness to customers,handling their complaints and easy facilities payment and etc make a brand .If the banks can be active in this field they can be effective in attractions of customers trust, delight and creating loyalty to themselves. This study is a cross sectional , applied a qualitative research. The population of the present research include the customers of Teheran Sepah bank branches in an unlimited number that a sample of 384 people were selected in unprobable method. Data gathering tool was questionnaire and it's analysis method was based on minor least square and PLS smart software. The obtained results indicate that the perceived transparency of organizational performance and reputation has a positive , direct and significant effect on Sepah bank customers delight. Also the perceived transparency dimensions except the perceived transparency of the bank policy, the organizational reputation components except the bank branches performance components and the brand experience comments except the operational experience comments have a significant effect on the customers delight. Also it was found that the perceived transparency dimensions have a significant effect on the Sepah bank organizational reputation and brand experience.

Make decision is one of the important factor in organization and the managers who act optimization in it can be guide the organization toward successfully. In this research we investigate the relationship Biorhythmic cycles that influence on decision making of investing managers on investment funds in Iran s capital market. The biorhythm components include physical cycle, Intellectual cycle and six sense and the components if error financial decision are compare, commitment, information bias ,cognation bias And rare effect . The research method is descriptive and from the aim standpoint it is applicable. The sample estimate by Cochran formula and the questionnaire distributed between them randomly. Reliability and validity controlled, and the reliability based on Cronbach alpha is 0,88 .The hypothesis test by spearman correlation and based on it there is significant relationship between physical cycle, six sense and error financial decision. Finally to answer the research question we use the structural equation to show the relationship between error financial decision and biorhythm cycles that showed biorhythm cycle effect on error financial decision is 0,33 .for ranking the component of error financial decision we used the Friedman test .In the last we offer some suggestion for researchers, organization, Investment Funds and Managers of Investment funds.