نشریه مطالعات کمی در مدیریت
سال سیزدهم شماره 3 (پیاپی 50، پاییز 1401)

The purpose of this study is to investigate the effect of corporate governance mechanisms on the risk of falling stock prices of companies listed on the Tehran Stock Exchange. Corporate governance mechanisms include ownership structure, board structure and audit quality. the dependent variable of this research is the price crash risk and independent variables including: Ownership concentration , Independence of the board and Audit quality (size of audit, audit fees , Auditor's industry expertise). This research is based on applied purpose and in terms of nature, descriptive and correlational. In this research, regression analysis (OLS) has been used. The statistical population of this research is all companies accepted in Tehran Stock Exchange between 2016 and 2020. Finally, the multivariate regression method has been used using hybrid data. The results of the first hypothesis showed that ownership concentration has a significant effect on the price crash risk. The findings of the second hypothesis indicate that the independence of the board has a significant effect on the price crash risk. The results of the third hypothesis showed that audit quality has a significant effect on the price crash risk.

Various researches have been done on the development of new products based on innovation. There is also a significant increase in studies in which there is a concept of "systemic approach". However, according to previous researches, decision-making in hesitant atmosphere to select exogenous variables of business development model based on new product development was not observed. The main issue in this research is to investigate and find the factors affecting the feasibility of new product development plans and finally to obtain a method for evaluating new product development plans in industry. In evaluating economic plans, the parameters are usually considered definite, but the study of uncertainty is important considerably. The results show that 6 exogenous variables were selected as key variables in the selection and development of a new product in the organization. The weighted importance of variables is the share of new product acceptance in the market (0.275), new product development investment confidence (0.239), new product development strategy (0.209), level of passing standards and requirements (0.136), attracting development research funding Product (0.077) and Applied Research Fundraising (0.061). The dynamic product development model is designed based on the cause-and-effect relationship and in future studies needs to test the simulation performance of present and future decision making .

The industry sector is one of the most important and influential sectors in the economy of any country. Information and communication technology can be effective on all types of productivity in industries through infrastructure channels. Iran, as a developing country, seeks to improve productivity due to its special conditions. In industries, in order to use limited resources more and more efficiently, so that by increasing its competitive power, it can be successful in competing with global markets and international arenas. Therefore, the purpose of this research is to investigate the impact of information and communication technology on the productivity of all production factors.capital productivity and labor productivity in factory industries of Zanjan and Qazvin provinces This research in terms of its practical purpose and its time period includes the years 2006-2016. The statistical population also includes factory industries with 10 workers and above in the two provinces of Zanjan and Qazvin. The relevant data is based on the latest published information of the four-digit isic codes of the industries. Factories with 10 or more workers in two provinces have been collected from the Iranian Statistics Center. The research hypotheses were tested through panel data using the Cobb-Douglas production function and estimated by Ols method by Eviews econometrics software. The results of this study show that Fawa does not have a significant effect on capital productivity and labor productivity in two provinces, but it shows a negative and significant effect on the total productivity of production factors in two provinces. Therefore, in order to increase the level of production and improve productivity, different industries should include in their long-term plan by preparing the necessary infrastructure for the introduction of technology suitable for the conditions and structure of the industry and providing new courses to prepare the specialized workforce with new technologies.

Today, due to the increase in medical expenses in developed countries, the provision of medical tourism services has increased greatly. And the medical tourism industry is one of the prominent income-generating industries in the world. This research has been done with the aim of ranking the dimensions of the social security organization's medical tourism marketing mode. The current applied research was carried out in the form of a descriptive survey in 2021. And a tool with 8 main factors was made and with the opinion of 23 experts and with the help of AHP method by Expert Choice 11 software, the prioritization of factors affecting medical tourism was determined. In the present study, 69.6% were men and 30.4% were women, and the average age of the participants was 52.10 ±3.21 years. The results showed that the marketing mix factor is the highest priority and the insurance factor is the lowest priority for medical tourism. The results of the present research to the guardians of the field of medical tourism based on the importance and priority of the dimensions of the medical tourism marketing model and taking effective measures in that field. It will increase the attraction of medical tourists and ultimately increase foreign exchange earnings.

Nowadays with regards to the special role of blood supply chain facilities, the importance of blood donation centers establishment with environmental standards compliance is considerable. With the increase in population and urban sprawl, Alborz Blood Transfusion center has been looking for a suitable location to establish blood donation centers in order to providing maximum service to donors, in addition to reduce environmental damage. In this study, to find the appropriate location for blood donation centers, environmental criteria have been considered. The purpose of this study was to determine the number and establishment of blood donation centers using combined VIKOR and mathematical programming approach in order to blood donation centers have the highest level of service. From the 12 existing regions, Only 6 candidate regions were selected to determine the appropriate location for the establishment of blood donation centers using the VIKOR method as a multi-criterion decision making approach. Also, by solving the proposed mathematical model, 4 regions were selected to locating a blood donation centers that providing maximum service to donors in the regions.

In this research, to investigate the effect of the components of institutional factors (voice and accountability, political stability and absence of violence, government effectiveness, regulatory quality, rule of law and control of corruption) on economic growth in 15 selected developing countries during the period from 2006 to 2020 using from the dynamic panel of Generalized Method of Moments (GMM) technique. The estimation results indicate that all the components of institutional factors have a positive effect on economic growth. Based on this, by improving and then expanding the components of institutional factors, it is possible to play a significant role in increasing economic growth.

In today's society, investment diversity has become very important. People reduce investment risk by diversifying their portfolios. Bitcoin has gained much popularity as one of the digital capitals and has been included in the investment portfolio of individuals and institutions. Bitcoin price prediction is essential for determining price trends and transactions. For this purpose, various traditional methods as well as methods based on machine learning have been presented, each of which has its own advantages and disadvantages. Recently, the use of hybrid models has received attention. Combined methods have good efficiency and use the advantages of combined techniques. This paper presents a hybrid method based on a deep convolutional neural network and recurrent neural network with probabilistic dropout. Eliminating possible randomness leads to the regularization of learning, avoids overfitting, and reduces model error. The results of the experiments show that the proposed method has a higher accuracy than the compared methods in predicting the price of Bitcoin.

The present study aims to examine the relationship between emotional intelligence and narcissism of managers with the firm value . In terms of its purpose, the research is an applied and correlational type of research. The research data was collected from the actual financial statements of the companies through the Kodal website and a standard questionnaire and compiled using Excel software. The method of testing the hypotheses is multivariate regression using the statistical software Evioz 12. The number of samples is 132 companies. The findings show that managers' narcissism has a negative and significant relationship with firm value. And managers' emotional intelligence has a positive and significant relationship with firm value. The findings of this research can be examined from two theoretical and practical aspects. The theoretical aspect that leads to a better understanding of the literature related to emotional intelligence and narcissism, which is one of the important dimensions of the psychological personality of managers, and the practical aspect that helps investors and other real and legal stakeholders to consider managers' narcissism when making decisions. Because narcissism can affect managers' judgment of the possibility of different outcomes.