پژوهشنامه مدیریت اجرایی
سال دهم شماره 20 (پاییز و زمستان 1397)

The main purpose of this study is to use Falcon's artificial neural networks and fuzzy inference system to designing an IOT-based business model in telemedicine at the National Institute of Medical Research Development of Iran. In fact, the research fatigue of NIMAD decision makers and physicians can be explained by the combining different ways of designing an IOT-based business model in telemedicine. In addition the need to use the T-MEDICINE+IOT.F-ANFIS system to increase confidence and reliability in Decision making, as well as the issue of the need for multiple expertise through the simultaneous using multi-disciplinary knowledge of different areas to solve the problem of internet of things-based business model. In this study, the Matlab R2017b programming environment was applied to design an Expert system based on Falcon neural networks. Finally, using the T-MEDICINE+IOT.F-ANFIS system outputs, the status of "IOT-based business model in telemedicine" can be analyzed based on variables such as following items: Using IOT in telemedicine; the ability to managing devices; The IOT networks position; IOT security; the degree of familiarity with the analyzing IOT applications. In fact, the final difference between the analyzing the outputs of the Expert system based on Falcon neuro-fuzzy system of this study, and the average views of Telemedicine physicians and IOT-based business model specialists, It is not significant and it equals to 0.065.

The approach of this study is conceptualization through qualitative method and theoretical coding that Compared to previous studies, its innovation is comprehensiveness, indigenousness, and applicability, while simultaneously focusing on the most effective components of evidence-based policymaking in higher education. Data has been gathered through comprehensive interviews, utilizing the (GT) method. The statistical population was the members of the Parliamentary Higher Education Commission, high profile policy makers, specialists, and experts of the Ministry of Science, Research and Technology and The Ministry of Health and Medical Education, heads of universities of the Ministry of Science, and higher education policy-making experts of the Ministry of Science, Research and Technology, using the snowball sampling method, Interviewed with 20 people. To analyze an encoding process is used. A summary of the results showed: The diversity of stakeholders and lack of an effective policy-making for integrating of the causal conditions, the institutional governing disorders, and the selective policy-makers' view. These are the main intervening conditions in Iran’s higher education system that the transformation of existing weaknesses and threats into potential opportunities.

In management research, especially in the field of strategic research strategic change is an important phenomenon which academics and researchers as well as businesses affirm its importance and necessity. This is necessary to maintain the competitive advantage and long-term organizational survival. One way to gain competitive advantage is to quickly adapt ourselves to environmental changes. Therefore, the present study seeks to design a strategic transformation model in hierarchical organizations with the Grounded theory approach. For this purpose, 21 experts from the field of strategic management in hierarchical organizations were selected and conducted a deep interview (non-structured) with them. Sampling was carried out using snowball technique. The results of data coding led to the identification of three categories, including strategic change antecedents, strategic change components and strategic change consequences. The results indicate that individual factors, organizational factors, and environmental factors are as the antecedents, Strategic Leadership, Strategic Renewal, Transition program codification, Structure reengineering and Modifying, Creating a shared vision, Systematic view, Successor, Creating Excellence Systems, Transparency, Establishing advanced monitoring systems and formulating psychological empowerment strategies as components of strategic transformation as well as organizational excellence, organization agility, Competitive capabilities and the growth of employees were identified as strategic change consequences.

The present paper aims to identify the dimensions of components of corporate social responsibility, and provide a comparative comparison of the extent to which each of the dimensions identified in the family business was compared with non-family counterparts. At the same time, reviewing the theoretical literature of the research, the six dimensions of corporate social responsibility were identified with the approval of academic and corporate experts. In the following, the impact of each dimension on financial performance of family and non-family business people of Mazandaran province was investigated. A descriptive survey method using structural equation model was used in this research. In order to collect data, a researcher-made questionnaire of 67 questions with a five-point Likert questionnaire was used to collect data. In addition, verifying the validity and reliability of the instruments with a community of 830 business owners with active trading cards as members of the Chamber of Commerce, Industries, Mines And agriculture in Mazandaran province, the questionnaires were distributed by simple sampling method. Finally, 385 questionnaires were completed and the data were analyzed using PLS software. The results of the research showed that the impact of social responsibility dimensions on financial performance in Family businesses is 95th and in non-family firms is 51st. This indicates that there is a significant difference in the effectiveness of the two groups.

The widespread use of medical technology required a considerable amount of resources to be purchased for equipment. Obviously, if the process of purchasing is not properly managed the quantity and quality of these items will not be coordinated with the actual needs of the hospital. Therefore, to avoid wasting resources, money and time, the present article seeks to provide a fuzzy system to evaluate and prioritize the risks involved in purchasing of BUALI hospital. In the present study, a list of possible failures was first identified by studying the subject literature and interviewing experienced experts. Then by more interviewing and examining the experts, the most critical failures were extracted from the list of failures in terms of their importance and their impact. The RPN of each failure was calculated based on the FMEA approach in both classic and fuzzy ways. In fuzzy method, the fuzzy expert system was used to provide a failure risk assessment model. According to the results, the most important failures in the BUALI hospital purchase process, which should be considered more than once, are: "lack of marketable goods", "delayed delivery of goods" and "instant goods deficit". Applying the fuzzy inference system, despite the risk rating of the purchasing process, can provide a clear understanding of each of the risks due to the degree of membership associated with the fuzzy RPN. Therefore, considering the sensitivity of the purchasing process in hospitals, it can be considered for better shopping management.

This study aimed at investigating the effect of CEO power on the value of the company with the interactive role of market competition in companies listed in Tehran Stock Exchange and was during 2011-2017. Based on the systematic elimination method, 145 companies were selected as the statistical sample. In order to analyze the data, variance heterogeneity pre-test, F Limer test, Hausman test and Jarque-Bera test and then multivariate regression test were used to confirm and reject the research hypotheses. The results showed that when the competition in the product market is high, the power of the CEO has a positive relationship with the value of the company; in addition, when the competition in the product market is high and the corporate governance is strong, the power of the CEO is positively related to the value of the company. The results obtained in this study are consistent with the documentation referenced in the research theoretical framework and financial literature. Consequently, when markets are competitive, executive capacity increases, and executives communicate with rapid decisions and responses to changes in market conditions. Also, strong corporate governance leads to effective oversight of managers and leads managers to push their strategic decisions to value the company.

The purpose of this research is to investigate and study the factors influencing the identification and preservation of key customers based on the RFM model and model design for the provision of services. The statistical population of the study consists of two different groups. In the first group, for determining the weight of the indicators (R F M) 18 experts from the Mellat Bank of Mazandaran province were randomly selected and for the second group in order to cluster customers based on the RFM model and using bank document data, those who were using the POS machine in 1396 were examined. The data analysis method is a fuzzy hierarchical analysis technique, entropy technique, K- Means method and DBSCAN method. According to the results, the weight of each of the RAF indexes were rated using the process of hierarchical analysis and entropy analysis and finally the weight of the indices was estimated as a combination. The weight of the indexes was M = 0.5998, F = 0.2672 and R = 0.1330. In addition, customer data clustering was conducted using K-Means and DBSCAN methods. Finally, the results showed that the K-means method is a better way to customer clustering and service delivery.