مطالب

The reception of Popper in Japan has not been a glorious history up to the present day. There have been numerous misunderstandings and distortions. It is important to record and discuss them in order to learn from them and to make use of his ideas in the Japanese intellectual climate. This is the purpose of the present paper. From the perspective of the reception history, we searched the reasons why Popper has been misunderstood in Japan (especially in four areas: philosophy, economics, history, and political philosophy), and tried to identify some of the factors responsible for this misunderstanding. To this end, we applied the method of “situational analysis” to the Japanese peculiar intellectual situation after the so-called après guerres, rather than by using a chronological order. If the causes of misunderstandings and distortions in Japan can be clarified by means of a situational analysis, we can learn a great deal from this history and can use this knowledge to throw new light on the status of critical rationalism in Japan

In this paper, we use fuzzy numbers and possibility theory to model possibility. The purpose of this work is to determine the optimal investment model based on the neural network method for fuzzy LR, trapezoidal and triangular numbers in an optimal portfolio. It is listed on the Tehran Stock Exchange to maximize "returns" and reduce "risk" to find the optimal portfolio. Therefore, to achieve this goal, the problem of multi-objective nonlinear programming is addressed. Also, by substituting the mean-variance model and the standard mean deviation instead of the Markowitz mean-variance model, the selection of the optimal portfolio in the possible space is examined. Finally, after calculating the model of the possibility of fuzzy numbers, we reach the optimal stock portfolio, which can be used to set the stock portfolio that has the highest returns and the lowest risk.

Criteria weighting is a crucial step in the entire decision-making process. Determining the appropriate weights will lead to more reliable results. This study aims to use a coalitional game method for calculating proper criteria weights in multi-criteria decision-making (MCDM). In this paper, the Shapley value method is used to determine the weight of criteria. A numerical case study of 65 banks has been used to explain the efficiency of the proposed method. To this end, using the TOPSIS technique, the alternatives are ranked once in Shapley value and again in the Shannon entropy weighted matrix. Then the results are obtained applying Spearman rank correlation coefficient are compared to efficiency-based ranking using data envelopment analysis (DEA) as a powerful benchmarking method. In the proposed method, unlike many conventional weighting methods, the selection of criteria weights is made in a coalitional game with the participation of all criteria; the obtained weights are both intuitively and objectively fairer, and more reliable rankings are provided. According to the logical and fair calculation of weights, having a simple and understandable mathematical method, and no need for experts’ judgment, the proposed method can be used in real problems. Especially where realistic ranking has a significant impact on the equitable allocation and absorption of resources.

Introduction: User trust is one of the main ethical principles that affect the success or failure of a social network platform. The multiplicity and interaction of users in social networks leads to the risks of data breach or disclosure of users' information. Therefore, the importance of correct decision-making by the managers of this social network and the prediction of events is of great importance. Therefore, the main goal of this research is to identify the main factors affecting users' trust and solutions to compensate the lost trust among the users of this social network. Material and Methods: The current research was applied and among post-event researches. The statistical population of this research was media and communication experts who were selected using a random sample of 52 people. The questionnaire tool was made by the researcher. Data analysis was done with Kolmogorov-Smirnov test, Friedman test and dynamic systems analysis, and SPSS and Vensim simulation software were used. Results: In this research, 34 factors affecting trust in social networks were investigated. The most important of which were internet fraud, the release of malicious software, the disclosure of personal information, the type of social networks and adherence to ethical principles, etc., and things such as cooperation and coordination between people, responsibility and commitment, benevolence, excessive use of social media in priority. There is an end. The validity of this model was proved by evaluating the appropriateness of the model boundary based on the purpose of the model and ensuring the realistic behavior of the model under limit conditions. Conclusion: It is possible to increase the trust of users as well as the solutions for breaching data and privacy of users through the construction of cause and effect loops and finding the root of their main causes. Also, the effective factors and its solutions in the form of three balance circles were investigated and rooted.

INTRODUCTION: The use of executive coaching has become increasingly popular in the organizational world in the past few decades and is considered a key intervention that increases the capabilities of managers at the professional, individual, and organizational levels. This study aimed to identify the indicators, components, and dimensions of the effectiveness of executive coaching in the Red Crescent Society of Iran. METHODS: This descriptive study was conducted based on an applied research method. The required data were collected using exploratory interviews with 20 experts and activists in the field of human resources education. The obtained data were then analyzed using conventional content analysis, as well as open, axial, and selective coding strategies. FINDINGS: According to the findings of the research, orientation, sociability, regularity, empowerment, personality traits, and infrastructure conditions are among the most important factors affecting executive coaching in the Iranian Red Crescent Society. Moreover, two new constructs, namely formal and informal institutions were identified for the first time in the coaching literature as effective factors in the development of executive coaching. CONCLUSION: This study paved the way for filling in some gaps in executive coaching literature. Unlike many previously conducted studies that have only evaluated the effectiveness of executive coaching, this study identified the set of factors related to the individual, organizational, and institutional levels, as well as infrastructural conditions affecting executive coaching. Moreover, the results led to the addition of two new constructs, such as formal and informal institutions, to the literature on coaching in general and executive coaching in particular.