درخت حوزه‌های تخصصی

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.

The present study is conducted to identify the components of the establishment of an ethical marketing system based on the Islamic-Iranian approach with emphasis on the food industry.In terms of its purpose it is a descriptive analytic type, and collects statistical data using a library methodology for research literature and Delphi method based on an expert opinion survey. In order to achieve the purpose, through an applied approach and through a survey method, a researcher-made questionnaire. Then, through the Delphi technique, which is a reliance on thought and use of expert knowledge and views and after three stages, the agreement and consensus of the Delphi group have reported on the components for the establishment of the ethical marketing system based on Islamic-Iranian approach. In order to consider the scientific and technical aspects, 30 experts in marketing system (marketing professors and experts in food industry marketing) were determined. Data analysis has been done with a mixed approach based on deep and structured studies and through content analysis. The results showed that social norms, organizational norms, green norms, individual norms, 4 ps norms and religious norms are among the requirements of establishing an ethical marketing system based on the Islamic-Iranian approach with emphasis on food industry. Standards and ethics in marketing approach is one of the most pressing issues for the review of the development and prosperity of Islamic countries. Adherence to such ethical practices can help to elevate the standards of behavior and thus of living, of traders and consumers alike. Selected key marketing issues are examined from an Islamic perspective which, it is argued, if adhered to, can help to create a value-loaded global ethical marketing framework for MNCs in general, and establish harmony and meaningful cooperation between international marketers and Muslim target markets in particular.

The purpose of this research was to provide a "Structural Equations Modeling Template" for the role of Human resources (HR) strategies on occupational performance development of colligate personnel. The current study is an applied research in terms of purpose, and a descriptive-analytical sample in terms of research method. The statistical population of this research included all employees Islamic Azad University of Shiraz Branch. The sampling method was "Random Classification". The standard questionnaire was used for data collection. By applying SMART PLS software, the research hypothesizes were made based on structural equations modeling & factor analysis .Findings showed that, there is a positive and significant relation between human resources development strategies and occupational performance of employees. Meanwhile, the HR development strategy, and employees' recruitment strategy have the greatest and the least impact on employees' occupational performance, respectively. The research findings showed importance of human resources strategies in evaluating occupational performance of employees. Therefore, HR strategies should be considered in Islamic Azad university of Shiraz.

Nowadays, organizational agility is a subject that its study has a significant impact on the growth and improvement of organizations. Present research in terms of purpose is applied and in terms of methodology is descriptive-exploratory. According to the theoretical hypotheses explained in the research, organizational, strategic, human, and technological factors were identified in this research as the factors explaining the organizational agility development model. The results obtained from the statistical analysis at the descriptive level demonstrated that average of organizational agility, human, organizational and strategic factors are greater than the average level and average of technological factors is at the average level. At the inferential level, which used confirmatory factor analysis, the results indicated that organizational, human, strategic, and technological factors are influential on the organizational agility development.

The main goal of this paper is to propose a new approach for efficiency measurement and ranking of stocks. Data envelopment analysis (DEA) is one of the popular and applicable techniques that can be used to reach this goal. However, there are always concerns about negative data and uncertainty in financial markets. Since the classical DEA models cannot deal with negative and imprecise values, in this paper, possibilistic range directional measure (PRDM) model is proposed to measure the efficiencies of stocks in the presence of negative data and uncertainty with input/output parameters. Using the data from insurance industry, this model is also implemented for a real case study of Tehran stock exchange (TSE) in order to analyse the performance of the proposed method.

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.

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.