درخت حوزه‌های تخصصی

INTRODUCTION: Improving the social capital of the Red Crescent Society can play an effective role in crisis management also control and increase productivity in responding to incidents. This research aimed to explain the role of mass and social media in the development of the social capital of the Iranian Red Crescent Society. METHODS: This practical research was conducted using a mixture of qualitative and quantitative research methods. The statistical population of the research in the qualitative part included 21 executive managers and pundits, who were selected using a purposeful and snowball sampling method. In the quantitative part, a total of 2,815 volunteer members of the Red Crescent Society formed the population, who were chosen by stratified random sampling method. The statistical data of the qualitative part were collected by holding semi-structured interviews, while those of the quantitative part were gathered using a questionnaire having content validity as well as the study of organizational documents. Data analysis in the qualitative part was performed through the thematic analysis method and in the quantitative part through the frequency and comparison of statistical data. FINDINGS: The findings showed that the effective role of the media should not be neglected. It was revealed that mass and social media played a role in the development of the social capital of the Red Crescent Society through three important components, namely news and information, mass education, and accreditation. CONCLUSION: According to the results of the current research, the Red Crescent Society can boost the productivity and effectiveness of humanitarian and public benefits programs and activities by understanding the very effective role of communication media and improving the level of cooperation and altruism culture in society with the help of mass media members, activists, and celebrities of social networks.

One of the important factors in making a profit through financial markets is a quick and correct response to market events, which is possible only by examining all aspects of the market. Today, to solve this challenge, the use of trading algo-rithms has become inevitable and can be considered as transactions made by computers that these transactions are controlled and reviewed through algorithms. Depending on their type and purpose, these algorithms examine different aspects and, according to the strategies defined for them, make decisions and signal by order registration. These trading methods are growing rapidly in the world, espe-cially in strong and developed financial markets. Proper implementation of algo-rithmic transactions reduces transaction costs and increases the accuracy of inves-tors in their investments. One of the most widely used of these strategies is the trend-following strategy, which is welcomed by many traders. This strategy can be implemented in different ways and through different trading tools. In the pre-sent study, five types of them were examined and implemented on one of the most traded symbols of the Tehran Stock Exchange. The purpose of this study is to implement some of the popular strategies in algorithmic trading along with the introduction of algorithmic trading, its strategies in the Iranian stock market, which includes the study of its advantages and disadvantages. The present study is a cross-sectional retrospective and field survey in terms of applied purpose and in terms of data collection.

This study investigates the relationship between the user interface and problem-solving towards the continuous intention to use the services. New products or services will always face tough challenges for the customer, especially when the new procedures require them to learn and change some behaviors. Chatbots are also facing the same situation in Malaysia, where customers refuse to accept using chatbots to represent their physical presence. To understand customer behaviors, a quantitative survey was designed. Four hundred twenty-two data were collected from the online survey method. As per the results, the predictors of chatbot continuous intention are user interface and problem-solving. Apart from that, this study also measures the role of mediator, namely trust and customer satisfaction. This study contributes to unique academic and practical insights that can be used to explore the effectiveness of chatbots. The results revealed that both predictors were significant towards the continuous intentions. Besides, the role of the mediator was found to be significant and relevant in the relationship between trust and customer satisfaction and customer satisfaction and trust towards continuous attention.