مطالب

This paper, that will be presented in the First International Conference of Capacity and Impact of Cyberspace in Promoting Religious Education, October 19-20, 2017 in Al-Mustafa Open University, Iran, has an hypotesis that Islam is the great religion that could give the solid foundation for human being among modernism ideas and to describe the local wisdom that is always giving a good benefit to the moslem life and their surroundings in the digital or Internet time. This view had been analyzed on the ideas of Syeikh Muhammad Abduh, a great muslim scholar, revolutionary fatwa maker and also a great ulama in Egypt. To analyze his ideas and local wisdom, this paper use qualitative method with the combination of sources from academic journals, books and news about how moslem people nowadays can absorb the highlight ideas of Islam and local wisdom based on Abduh’s thougts. On the analysis part, this paper will write the short biography and the ideas of Abduh, especially his concept of “one ummah”, the definition of local wisdom based on Al-Quran and Hadist and the concept of modernism related to current islamic fatwa concerning local wisdom. Besides, this paper will relate those thoughts of Abduh with the condition of Indonesian moslems nowadays, based on current statistics and surveys, to value how much is Indonesian moslems think about the modern islamic political issues in the digital or Internet time. This paper is hoped to spread ideas that Islam is a good religion that can maintain local wisdom, eventhough at the same time, moslem people have to do jihad to defend their tauhid. Besides, this paper is also hoped to be a new perspective to the concept of local wisdom in the mind of western philosophy based on UN SDGs Agenda to preserve local wisdom, so that in the UN General Assembly, the honorable delegations could think about Islamic values within their policies about local wisdom in the digital or Internet time.

The study aims to investigate the relationship between the financial incentives of board members and disclosure of corporate risk, emphasizing the levels of corporate performance and risk in Iran. The research sample includes 98 listed firms in Tehran Stock Exchange during 2011-2015 (490 years-firms); the firms have selected by using a systematic removal method. Regarding the aim, the present research is classified as an applied research and concerning its method, it is categorized as a descriptive research. The research hypotheses are examined using the linear regression testing method; Eviews software has employed for data analysis and hypotheses testing. Based on the regression results, financial incentives of board members are effective on the quality and extend of firm’s risk disclosure.

Stock trend forecasting is a one of the main factors in choosing the best investment, hence prediction and comparison of different firms’ stock trend is one method for improving investment process. Stockholders need information for forecasting firm’s stock trend in order to make decision about firms’ stock trading. In this study stock trend, forecasting performs by data mining algorithm. It should mention that this research has two hypotheses. It aimed at being practical and it is correlation methodology. The research performed in deductive reasoning. Hypotheses analyzed based on collected data from 180 firms listed in Tehran stock exchange during 2009-2015. Results indicated that algorithms are able to forecast negative stock return. However, random forest algorithm is more powerful than decision tree algorithm. In addition, stock return from last three years and selling growth are the main variables of negative stock return forecasting.