درخت حوزه‌های تخصصی

Blockchain technology is rapidly gaining the attention of financial institutions around the world, especially among decision makers in Islamic financial institutions who are planning to apply this innovative technology into their institutions activities which could be an upright solution for their issues and challenges. This paper contributes to the emerging literature on financial technology by discussing some of the innovative applications of blockchain in Islamic financial institutions. In addition, this paper sheds light on the main opportunities and challenges facing application of Blockchain Technology in the Islamic financial industry and highlight the way forward to address these issues. Relying on the previous literature and analysis; this paper confirms the enormous opportunities for utilizing blockchain technology in various Islamic financial applications such as Waqf, Zakat and Sukuk. On the other hand, the main challenges towards implementing blockchain in this industry are the complexity of Islamic finance products added to the opacity of its application which end up with unclear regulations and lack of standards.

Despite all blockchain's advantages, it has experienced some challenges and disadvantages. Identifying these challenges and minimizing them are important steps in advancing the goals of this technology. The purpose of this study is to investigate and identify the challenges of using blockchain technology in international markets with regard to the risks of such newfound technologies. This is an applied research in terms of purpose and a mixed research in terms of methodology. The effective factors in using blockchain technology have been discovered by the meta-synthesis method at first; then the ranking of these factors has been done by the fuzzy pairwise comparison. A systematic search was performed in the database of Science Direct, Emerald, and Google Scholar. Also, the seven-step method of Sandlowski and Barroso (2007) was applied. All the related articles and the challenges of using blockchain in international markets were identified and coded. The comparison method between the two coders was used to adjust the reliability and the kappa coefficient was used to calculate the correlation coefficient between the two codes. The findings of the extracted sources were finally proposed and 41 challenges were classified into 6 categories of technical, educational, structural, market, infrastructure and legal which divided in both internal and external areas.

The purpose of this study is to present a gray marketing model using the role of influencers in social media. This research has been collected in terms of practical purpose and in terms of data collection method, quantitative-qualitative, it means using a questionnaire and interview. The face validity of the questionnaire was confirmed by experienced professors. The reliability of the questionnaire was also assessed using Cronbach's alpha method. The statistical population of the study consists of two sections: food consumers and faculty members, experts who had the most information in the field of gray marketing and the role of  virtual influencers. 384 were selected from the first population after determining the sample size using Cochran's formula. From the second community, 14 people were selected and their opinions were qualitatively analyzed. In quantitative data analysis, the structural equation approach was used and in qualitative data analysis, Grounded theory approach method and in-depth interview were used. Findings of this study were extracted in the qualitative part of the variables of causal factors, contextual factors, intervening factors, and outcomes and the findings of the quantitative section showed that the coefficient of variable path of parallel factors and parallel imports is 0.906 and also t-statistic is 11.328 and the coefficient of variable path of parallel factors and parallel imports is 0.992 and t-statistic is 13.476. The coefficient of variable path of interfering factors and parallel import is 0.591 and t-statistic is 8.017. Also, the coefficient of the variable of consequences and parallel imports is 0.755 and also the t-statistic is 9.705. Finally, the variable path coefficient of strategies and parallel imports is 0.673 and the t-statistic is 8.627.