درخت حوزه‌های تخصصی

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 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.

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.

Venture capital companies play an important role in the economy of countries and greatly influences economic and employment growth. VC is the provision of capital for companies and entrepreneurs that is prone to leaping and growing value and, of course, a lot of risk. However, the volume of venture capital in our country is far less than the economic capacity. Many of analysts consider having no model for venture capital in our country as the main reason for this. Therefore, the present study by the qualitative method aims to design decision-making native model for selecting venture capital investment in emerging companies. To achieve this goal, by collecting qualitative data through literature reviews and having deep interview with experts and venture capital firms, a native decision-making model for selecting venture capital in emerging companies is presented. The methodology of this research based on purpose, is fundamental and through the qualitative methods, thematic analysis method is used. Purposeful sampling method is used and interviewing experts continued to theoretical saturation level that means the number of selected samples includes 16 elites. The native decision-making model for selecting venture capital in emerging companies presented in this research has 16 main themes and 86 sub-themes.