درخت حوزه‌های تخصصی

Because in the theory of economics, the value of a company is based on the current value of future cash flows and profit is used as a substitute for cash flows, profit forecasting is of particular importance. In the research, the effect of rounding and revision in predicting earnings per share on the investors' attention in Iran has been investigated. After designing the investors' attention assessment indexes, the transaction information was collected from the Stock Exchange in the five-year period of 2011-2015. The statistical sample consists of 120 companies selected by systematic elimination method and totally obtained 600 year-firm. In this research, linear regression and correlation were used to investigate the hypotheses of the research and Eviews software was used to analyze the data and test the hypotheses. What can be said in the summing up and conclusion of the test of research hypotheses is that predicting the earning per share influences investors 'attention, as well as the revision of the earnings per share influences the investors' attention. On the other hand, research studies show that the rounding in interaction with the revision in predicting earnings per share can also affect the investors' attention.

Behavioral financial knowledge deals with the behavior of investors and other users in the capital market. According to the financial knowledge, it is no longer expected that only factors such as accounting information and macroeconomic variables will affect decision-making but also a variety of behavioral variables including manager’s optimism, information influence management, patience of major shareholders and other investors' biases can have an impact on the prices and stock returns. The purpose of this study was to investigate the impact of managers' optimism on the relationship between the patience of major shareholder and information influence management. This study attempts to investigate the relationship between these behaviors and information influence management by measuring the degree of major shareholders patience and managers’ optimism. This is a descriptive post-event research. The study population consisted of the companies listed on Tehran Stock Exchange (n = 87) between the years 2008 and 2017. Multivariate regression was used to test the hypotheses. The findings showed no significant relationship between the major shareholders patience and the information influence management (high, low, balanced). Further, it was found that managers’ optimism has a significant effect on the relationship between the major shareholders' patience and the information influence management (balanced level) and no significant relationship was observed between two other levels.

The effective role of capital in every country flows through giving guidelines for capital and resources, generalizing companies and sharing development projects with public, and also adding accredited companies stock market requires appropriate decision making for shareholders and investors who are willing to buy shares based on price mechanism. Forecasting stock price has always been a challenging task, since it is affected by many economic and non-economic factors and variables; therefore, selecting the best and the most efficient forecasting model is tough and essential. Up to now applying weighted mean called weighted mean price has been used to forecast industry average price for companies in the stock market and investors were forecasting based on this method. First we have identified 10 accredited banks in TSE and 10 banks in Iran Fara Bourse. In this article, by applying one of the mathematical optimizing techniques, industry means got calculated based on optimized parameters and compared with the industry average; in this statement we strived to find another variable that could forecast with less deviation.  In the following study, by calculating frequency level of deviations, average for price forecasting in banking industry during five years is examined. Finally, the research suggests that, instead of using mean of industry average, it is better to use mean average of golden number, which will lead us to more accurate results.

This study aimed to test the conceptual model on the causal relationship of motivation and consumption intention. To this end, 390 spectators who were present at the stadium, were randomly selected using stratified random sampling. They voluntarily completed Funk’s Motivation Scale and spectators’ consumption intention questionnaire. Structural Equation findings indicted a significantly positive relationship between the motivation and the consumption intentions among the spectators of Iran’s Premier Football League. There is a positive relationship between motivation and the components of consumption intention, including re-attendance, recommendation to others, purchase of team goods, and media consumption. The indices confirmed the optimal fit of the model. According to the results of the study, the authorities holding the Premier League matches as well as the clubs are recommended to have a detailed planning to enhance the motivation of the spectators as it had the greatest impact on re-attendance.

The objective of the present study is to provide a strategic entrepreneurial marketing model in the construction industry in the construction companies of the north of the country using the Grounded theory. The present study is a qualitative research which uses Grounded theory by focusing on deep and semi-structured interview and providing an entrepreneurial strategic marketing strategy. In this study, 30 interviews were conducted on university and construction industry experts in construction companies of the north of the country to reach a consensus that was carried out using snowball sampling. Data were analyzed by open, axial and selective coding and the case studies were presented. In the current study, instead of testing the theory and confirming or rejecting it, it was presented limited to reality. The collected data were analyzed using Nvivo software and the components were identified. The results indicated that the causal conditions affecting strategic entrepreneurial marketing include communication capabilities, organizational capability, organizational strategy, management support and organization and organizational systems. The intervening condition include relationship orientation, environmental capability, and corporate governance, and ground conditions include system thinking, application of technology and organizational culture. Furthermore, the proposed strategies include intellectual capital management, strategic alignment and knowledge elevation to improve strategic and tactical performance of the company as a result of strategic entrepreneurial marketing.

In this paper, a fractional multi- objective multi- product solid transportation problem with interval costs, supply, demand, and conveyances is investigated based on fuzzy programming approach. To minimize the problem, the order relations that represent the decision maker's (DM) performance between interval costs, supply, demand and conveyances are defined by the right limit, and the left limit. Through the deterministic problem is obtained, a fuzzy programming approach is applied by defining membership functions. A linear membership function is being used for obtaining optimal compromise solution. Finally, a numerical example is given to the utility of the approach.

The rapid development of communication technologies and information and online computers and their usage in processes of the industrial production have facilitated simultaneous monitoring of multiple variables (characteristics) in a process. In this work, we applied boosted decision tree and Monte Carlo simulation to propose an efficient method for detecting in-control and out-of-control states in multivariate control processes.In this work, four classifiers (methods) - , , , – are used for detecting the process control states. Then, with converting detection results these four classifiers, the boosted decision tree is made and provides the ultimate result as the in-control or the out-of-control states. To show how the proposed model works and the superiority of this method over , , , and methods, we run it on a standardized trivariate normal process. To compare and evaluate the performance of classifiers, we used ARL functions and the evaluation measures including Accuracy (ACC), Sensitivity (TPR), Specificity (SPC), and Precision (PPV). The findings not only showed the superiority of the proposed method over the tradition Chi-square but also confirmed former results on the efficiency of decision tree for rapid detecting of mean shifts in multivariate processes in which data are gathered automatically.